Edward Conard

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Monday, August 16, 2021

Propagation and Amplification of Local Productivity Spillovers

AI Summary. Large manufacturing plant openings are associated with higher local productivity, with employment and wages in the host county up 3.5% and 3.7% and nearby incumbent plants 4% more productive within 50 miles. The authors estimate distant plants of multi-region firms gain 1.8%–2%, with nearly twice as many jobs created outside the host county as within.

Xavier Giroud, Simone Lenzu, Quinn Maingi and Holger Mueller National Bureau of Economic Research
Date Posted:
August 16, 2021
Is Database:
Database

Large manufacturing plant openings boost local productivity, with employment & wages increasing by 3.5% & 3.7% in the winner county. Knowledge spillovers drive gains, particularly in industries with mutual R&D flows & patent citations. @nberpub

Do productivity gains from new plants spread beyond the host county?

Core argument: Large manufacturing plant openings raise employment by 3.5% and wages by 3.7% in the winner county, with incumbent plants within 50 miles seeing a 4% productivity increase.

Large manufacturing plant openings significantly enhance local productivity, with employment and wages in the winner county increasing by 3.5% and 3.7%, respectively. These productivity gains are primarily driven by knowledge spillovers, particularly in industries characterized by mutual R&D flows and patent citations. The local productivity spillover is most pronounced within a 50-mile radius of the plant, where incumbent plants see a 4% productivity increase. However, the spillover effect extends globally, benefiting distant plants of multi-region firms by 1.8% to 2%, despite geographical distance. This suggests that while local agglomeration economies are significant, knowledge can be effectively transferred within firm boundaries, amplifying productivity across regions. Consequently, almost twice as many jobs are created outside the winner county compared to within it, highlighting the broader economic impact of such facilities.

Takeaways by Macro Roundup® AI

  1. Large manufacturing plant openings raise employment by 3.5% and wages by 3.7% in the winner county, with incumbent plants within 50 miles seeing a 4% productivity increase.
  2. Productivity spillovers from large plant openings extend to distant plants of multi-region firms, which gain 1.8% to 2%, suggesting knowledge can transfer within firm boundaries despite geographic distance.
  3. Almost twice as many jobs are created outside the winner county as within it, and the productivity gains are attributed mainly to knowledge spillovers in industries with mutual R&D flows and patent citations.

Xavier Giroud, Simone Lenzu, Quinn Maingi and Holger Mueller, "Propagation and Amplification of Local Productivity Spillovers," National Bureau Of Economic Research, July 2021, https://www.nber.org/papers/w29084

Employment and Wages

"..Table 6 examines the local employment and wage spillovers in the winner county. As can be seen, employment and wages increase by 3.5% and 3.7%, respectively, which is of the same order of magnitude as the productivity gains.15 Table 7 examines the global employment and wage spillovers. As is shown, employment at treated plants increases by 1.6% to 1.7%, which is again of the same order of magnitude as the productivity gains.16 However, wages only increase by a small amount.This is not surprising; in any given county outside the winner county, only relatively few plants are treated, putting only mild pressure on local wages. With the usual caveats, we can perform a simple back-of-the-envelope calculation to determine the total number of jobs created outside the winner county versus those created in the winner county. In the winner county, about 52,600 workers are employed in manufacturing prior to the MDP opening. By comparison, about 211,900 workers are employed at treated plants outside the winner county. Given the estimates in Tables 6 and 7, this implies that 0.035 × 52, 600 = 1, 841 jobs are created in the winner county versus 0.016 × 211, 900 = 3, 390 jobs outside the winner county. Hence, almost twice as many jobs are created outside the winner county than at all plants in the winner county combined..."

"... Finally, in columns (3) to (6), we interact both terms in equation (1) with measures of knowledge sharing at the industry-pair level. The first measure, “mutual R&D ‑flows,” captures how R&D in one industry flows out to benefit another industry. The second measure, “mutual patent citations,” captures the extent to which technologies associated with one industry cite technologies associated with another industry.13 In either case, we measure the extent of knowledge sharing between the industry of the treated plant and either the industry of the MDP or the industry of the firm’s plant in the winner county. As is shown, the global productivity spillover is much stronger if the treated plant and either the MDP or the firm’s plant in the winner county are in (knowledge-based) industries characterized by mutual R&D ‑flows or patent citations.14 The effects are economically significant. For instance, in column (3), a one-standard deviation increase in the R&D ‑ow measure (0.022) raises the productivity gains at treated plants by 1.3 percentage points..."

Key driver, increase in worker knowledge/skill"... Why is the local productivity spillover twice as large as the global productivity spillover?12 For one, not all of the productivity gains in the winner county may be due to knowledge spillovers. As noted above, they are likely due to both knowledge spillovers and thicker labor markets. Furthermore, some knowledge may not be passed on to other plants of the firm, as it may be location-specific or difficult to share (“soft information”). In contrast, knowledge about specific products or production processes is likely relevant for, and easier to share with, other plants of the firm. We explore this idea in columns (1) and (2) of Table 5 by interacting both terms in equation (1) with indicators for whether the treated plant is in the same 4-digit SIC code industry as either the MDP or the firm’s plant in the winner county. The 4-digit industry classification is extremely fine; it comprises 459 manufacturing industries in the CMF/ASM. Plants in the same 4-digit industry produce similar goods and use similar production processes. For example, “nitrogenous fertilizers” (SIC 2873), “phosphatic fertilizers” (SIC 2874), and “fertilizers, mixing only” (SIC 2875) all have different 4-digit SIC codes. As is shown, the global productivity spillover is much stronger if the treated plant and either the MDP or the firm’s plant in the winner county are in the same narrow industry...."

"...We next study the global productivity spillover on treated plants outside the winner county that belong to firms with plants in the winner county. We estimate the same difference-in-differences specification as above, except that is now an indicator for whether the plant’s parent firm owns a plant in the winner county, the fixed effects vary by control group, and a “case” is more generally defined as comprising all treated plants as well as all plants in the corresponding control group. Table 3 presents the results.In column (1), the control group consists of all plants outside the runner-up counties that belong to MC firms with plants in the runner-up counties (“runner-up firms”). This specification includes plant, industry × year, and case fixed effects. Accordingly, we compare treated plants with plants of runner-up firms in the same industry and year, but possibly in different counties. In column (2), the control group consists of all plants of MC firms in the same county as the treated plant. This specification includes plant and industry × county × year fixed effects. Thus, we compare treated plants with other plants in the same county, industry, and year. This accounts for the possibility of common shocks between the county of the treated plant and the winner county, thus addressing potential concerns that the productivity gains at treated plants may be due to common regional shocks rather than internal spillovers within the firms plant-level network. Finally, in column (3), the control group is a subset of that in column (2): it consists of all plants of runner-up firms in the same county as the treated plant. In addition to plant and industry × county × year fixed effects, this specification also includes case fixed effects. Hence, we compare plants in the same county, industry, and year that belong to parent rms which either own plants in the winner county (treatment group) or in the corresponding runner-up counties (control group). As is shown, the MDP openings raise the productivity of treated plants outside the winner county by 1.8% to 2%. The estimate is stable across specifications, despite varying control groups and fixed effects. While the productivity gains at treated plants are less than the productivity gains in the winner county, Table 1 shows that the typical “treated” MC firm has about 6.3 (treated) plants outside the winner county. Indeed, using a back-of-the-envelope calculation, we illustrate below that almost twice as many jobs are created outside the winner county than among all plants in the winner county combined...."

Core results, "...A different picture emerges when we examine how productivity spillovers spread within firm boundaries. We consider large multi-plant, multi-region firms which are exposed to the MDP openings, and thus to the local productivity spillover, by having a plant in the winner county. We find that, in response to the MDP openings, these firms’ plants outside the winner county (“treated plants”) experience productivity gains of 1.8%, along with employment gains of 1.6%. To identify the (“global”) productivity spillover on plants outside the winner county, we compare plants in the same county, industry, and year that belong to firms which either own plants in the winner county (treatment) or the runner-up counties (control). This specification accounts for the possibility of correlated shocks between the county of the treated plant and the winner county, thus addressing potential concerns that the productivity gains at treated plants may be due to common regional shocks rather than internal spillovers within the firm’s boundaries......On the one hand, firms must have a nearby plant to benefit from knowledge spillovers. As we show, the local agglomeration economy is strongly significant only within a 50 mile radius around the MDP. On the other hand, not all of a firms plants need to be located nearby. In fact, it may suffice if only one of the firms plants is located in close proximity to the MDP. Once the knowledge spills over to that plant, it can be passed on to other plants inside the firms boundaries, increasing the productivity of distant plants hundreds of miles away...... Table 2 presents the results. In this and all other tables, we only report the main coefficient(s) of interest and write “MDP” in lieu of × for brevity. As column (1) shows, the MDP openings raise the productivity of incumbent plants in the winner county by 4%.10 In column (2), we examine if the local productivity spillover varies with distance between the incumbent plants and the MDP. To this end, we first identify all incumbent plants within a 250 mile radius around the MDP. Naturally, this includes plants outside the winner county. We then create three dummy variables, (< 50 miles), (50 to 100 miles), and (100 to 250 miles), that indicate whether the incumbent plant lies within 50 miles, between 50 and 100 miles, or between 100 and 250 miles from the MDP, and interact these dummy variables with both terms in equation (1). As is shown, the local productivity spillover decays rapidly with geographical distance. It is strong within a 50 mile radius around the MDP, much weaker within a 100 mile radius, and insignificant beyond. Hence, consistent with a large empirical literature, we find that productivity spillovers between (plants of) different rms are highly localized...."

Local productivity spillovers diffuse though economy via manufacturing plants both locally and globally, "...we showthat large manufacturing plant openings not only raise the productivity of local incumbent plants but also of distant plants hundreds of miles away,which belong to multi-region firms that are exposed to the local productivity spillover through one of their plants. This “global” productivity spillover does not decay with geographical distance and is stronger in (knowledge-based) industries characterized by mutual R&D flows and patent citations....... we show that the MDP openings raise the productivity of incumbent plants by 4%.This (“local”) productivity spillover is strong within a 50 mile radius around the MDP, weaker within a 100 mile radius, and insignificant beyond. Hence, consistent with a large empirical literature, we find that productivity spillovers between (plants of) different firms decay rapidly with geographical distance...."

Ed Comment:Why do you think the Chinese and everyone else subsidize trade? …because it’s worth it.

  • Productivity
    • Innovation/Research
    • Institutional Capabilities
    • Investment
  • GDP
    • Growth

The 2000s Housing Cycle With 2020 Hindsight: A Neo-Kindlebergerian View

AI Summary. National real house prices rose 80% from 1997 to 2006, gave up two-thirds of that gain by 2012, then rebounded, and areas with the largest booms also had the highest price growth across the full 1997–2019 period. The authors argue long-run fundamentals, not speculative bubbles, played a significant role.

Gabriel Chodorow-Reich National Bureau of Economic Research
Date Posted:
August 16, 2021
Is Database:
Database

National real house prices rose 80% from 1997 to 2006, lost 2/3 of their gain by 2012, then rebounded, illustrating a boom-bust-rebound cycle.

Did fundamentals, rather than speculation, drive the housing boom and bust?

Core argument: U.S. national real house prices rose 80% from 1997 to 2006, gave back two-thirds of that gain by 2012, and then rebounded, tracing a boom-bust-rebound cycle.

National real house prices rose 80% from 1997 to 2006, lost two-thirds of their gain by 2012, and then rebounded, illustrating a boom-bust-rebound cycle. Areas with the largest booms also experienced higher long-run price growth over the entire 1997-2019 period. The correlation between boom and bust phases shows each additional % point of house price appreciation in the boom is linked to a 0.51% decline in the bust. Post-2012, each % decline during 2006-2012 is associated with a 0.52% growth, indicating a strong rebound. The study suggests that long-run fundamentals, rather than speculative bubbles, played a significant role in this cycle, with a slope coefficient of 0.81 and R² of 0.62 for price growth during the boom correlating with growth over the entire period. This pattern reflects a larger role for fundamentals, as areas with higher fundamentals saw larger rent growth over the boom-bust-rebound cycle.

Takeaways by Macro Roundup® AI

  1. U.S. national real house prices rose 80% from 1997 to 2006, gave back two-thirds of that gain by 2012, and then rebounded, tracing a boom-bust-rebound cycle.
  2. Each additional percentage point of house price appreciation during the boom is associated with a 0.51% decline during the 2006–2012 bust, and each 1% bust decline is associated with 0.52% growth after 2012.
  3. Boom-period price growth correlates with growth over the full 1997–2019 period with a slope coefficient of 0.81 and R² of 0.62, which the study reads as a significant role for long-run fundamentals rather than speculative bubbles.

The 2000s Housing Cycle With 2020 Hindsight: A Neo-Kindlebergerian View: Extended Excerpt Image 1


Gabriel Chodorow-Reich, Adam Guren and Timothy McQuade, "The 2000s Housing Cycle With 2020 Hindsight: A Neo-Kindlebergerian View," National Bureau Of Economic Research, August 2021, https://www.nber.org/papers/w29140

“…The model also reproduces the empirical pattern shown in Table 4 that higher price dividend growth during the boom forecasts higher future dividend growth and not large relative price declines. For this exercise, we collapse the model time series by year and regress the log changes in dividends and price between model years corresponding to 2006 and 2019 on the log change in the price-dividend ratio during the boom. An additional log point of growth in the price-dividend ratio in the boom predicts additional 0.41 log point of dividend growth in the bust-rebound (compared to 0.20 in column (3) of Table 4) and additional 0.03 log point of price growth (compared to 0.03 in column (6) of Table 4)….echo the result from Table 4 that price rent growth in the boom not associated with long-run fundamentals strongly predicts subsequent price decline. However, they also suggest that the role of investors was mostly or wholly orthogonal to the role of fundamentals and less important to explaining the entirety of the boom or the full 1997-2019 period, which are the focus of our paper…”

New NBER argues that there was no housing bubble, national real house prices rose 80% between 1997 and 2006, lost two-thirds of their gain by 2012, but then rose again. The episode isn't best characterized as a boom-bust, but a boom-bust-rebound, "...We reevaluate the 2000s housing cycle from the perspective of 2020.1National real house prices grew steadily between 2012 and 2019, with the largest price growth in the same areas that had the largest booms between 1997 and 2006 and busts between 2006 and 2012. As a result, the areas that had the largest booms also had higher long-run price growth over the entire 1997-2019 period. With “2020 hindsight,” the 2000s housing cycle is not a boom-bust but rather a boom-bust-rebound...."

"...We argue that this pattern reflects a larger role for fundamentals than previously thought. In a first step, we use a standard spatial equilibrium framework to motivate several determinants of house prices. We find that these explain cross-city variation in long-run house price growth in reduced-form and structural supply regressions as well as the amplitude of the boom-bust-rebound across cities and severity of the foreclosure crisis. In a second step, we introduce a “neo-Kindlbergererian” model of a fundamentally rooted house price cycle in which belief over-reaction amplifies the boom and a foreclosure spiral exacerbates the bust, and discipline the model with our empirical moments. The estimated model generates the boom-bust-rebound from a single fundamental shock and quantitatively matches the cross-city patterns...."

Their housing cycle dynamic, "...House prices clear a Walrasian market, with demand emanating from potential entrants and supply coming from the the construction of new homes and foreclosures. An endogenous boom-bust-rebound cycle occurs in response to a single change in the city’s fundamental, an increase in the growth rate of the income and amenities or “dividend” from living in the city...."

Evidence: "... Figure 1 shows the national Case-Shiller house price index, deflated using the GDP price index. After a period of zero real growth, the series begins to rise in the late 1990s, peaks in 2006Q2, reaches a local trough in 2012Q1, and then grows again through the end of our sample in 2019. In what follows, we measure the boom as house price growth between 1997 and 2006, the bust as price growth between 2006 and 2012, and the rebound as price growth between 2012 and 2019.We start the boom in 1997 because very few cities have booms that start before that year..."

The 2000s Housing Cycle With 2020 Hindsight: A Neo-Kindlebergerian View: Extended Excerpt Image 2


"... Figure 2 shows the correlation of the boom, bust, and rebound at the local level, using ZIP Code house prices from FHFA. Each blue circle represents one ZIP Code. The overlaid red circles show the mean value of the y-axis variable in each of 50 quantiles of the x-axis variable (the so-called binned scatter plot). Panel (a) shows the correlation of price growth in the boom and the bust. Each additional percentage point of house price appreciation in the boom is associated with an additional decline of 0.51 percentage point in the bust and the R2 of this relationship is 0.38. Mayer (2011) refers to this boom-bust cycle at the local level as characteristic of a housing bubble. Panel (b) reveals an equally strong correlation between the magnitude of the bust and post-2012 price growth, with each additional percentage point decline during 2006-2012 associated with an additional 0.52 percentage point of growth during 2012-2019 and an R2 of 0.37. Putting the bust and rebound together in Panel (c), house price growth in the boom is nearly uncorrelated with total price growth after 2006. Panel (d) displays the corrollary of this result:House price growth during the boom correlates strongly with growth over the entire 1997-2019 period (BBR for short), with a slope coefficient of 0.81 and R2 of 0.62..."

The 2000s Housing Cycle With 2020 Hindsight: A Neo-Kindlebergerian View: Extended Excerpt Image 3


Results:"....Table 1 reports first-stage-type regressions for each of the endogenous variables separately. For each variable, we show the explanatory power using only the excluded instruments motivated by that variable and also using the full set of uninteracted instruments. Let H,L, and M denote the sets of instruments heuristically assigned to population growth, land share, and WRLURI, respectively. The actual IV will also include H × L, H × M, and H × L × M, where × denotes element-wise cross-set multiplication. In that sense, Table 1 contains regressions useful for establishing the explanatory power of the instruments without broaching many instrument asymptotics, a subject we address in the robustness section Column (1) shows that more land unavailability and higher initial population density both predict higher land share, with an R2 of 0.37 and joint effective F-statistic of 64.5.8 Column (2) shows that their explanatory power persists after adding other excluded instruments. Columns (3) and (4) show predictors of population. Climate amenities — higher January temperature, higher January sunlight, and lower July humidity — all predict higher population growth, as do greater restaurant density and a higher college share of the population. Bartik-predicted employment and wage growth enter somewhat noisily, although in unreported results these variables have stronger predictive power in a specification without the amenity variables. Columns (5) and (6) show predictors of WRLURI. Consistent with the results in Saiz (2010), a higher share of Christians in nontraditional denominations negatively predicts regulation while a higher ratio of public expenditure on protective inspection to total tax revenue positively predicts regulation. The final column of Table 1 reports the reduced form for long-run house price growth, using all of the uninteracted instruments. The instruments jointly explain 59% of the variation in house price growth. This column illustrates that fundamental drivers of location choice, land share, and regulation, all measured prior to the start of the boom, explain a substantial amount of the variation in house price growth over the entire BBR...."

The 2000s Housing Cycle With 2020 Hindsight: A Neo-Kindlebergerian View: Extended Excerpt Image 4


"... Figure 3 plots the fitted values from the reduced form regression in column 7 of Table 1 against actual house price growth in various sub-periods. Panel (a) shows a strong correlation with price growth over the full BBR, consistent with the high R2 in column(7). The figure labels in red CBSAs with more than 1 million persons in 1997; these larger CBSAs have a reduced form fit similar to the full sample. Panels (b)-(d) show the correlation with each sub-period. Higher predicted long-run growth correlates positively with higher growth during the boom, negatively with growth during the bust, and positively with growth during the rebound. Thus, the reduced-form evidence is consistent with long-run fundamental growth producing a boom-bust-rebound cycle..."

The 2000s Housing Cycle With 2020 Hindsight: A Neo-Kindlebergerian View: Extended Excerpt Image 5


"...Table 2 presents the results from estimating equation (7). Column (1) shows OLS. CBSAs with higher land share and faster population growth have higher house price growth over the full BBR, and especially so in places with both high land share and high regulation. Evaluated at the (unweighted) mean land share and regulatory burden, the long-run inverse supply elasticity is 0.58 with a standard error of 0.06 using the delta method. Column (2) reports the IV specification using all of the excluded instruments shown in Table 1 as well as the interactions of each of the instrument groups. Several features merit comment. The impact of population growth and the average inverse elasticity are slightly larger in the IV specification, consistent with the expected bias of OLS due to area-specific cost shifters. The coefficient on the main effect on land share maps to the average excess secular (i.e. not driven by population growth) increase in land prices over construction costs, which causes house prices to rise faster in areas where land is a larger share of the overall price. The value of 107 log points over 1997-2019 reflects nationwide forces such as a secular decline in interest rates and an increase in the premia to living in the more expensive city center, the latter for example due to the widespread fall in crime rates in the mid-1990s. Column (3) is our preferred specification. Relative to column (2), it omits the land share × population growth and WRLURI × population growth variables. The remaining coefficients remain relatively unchanged, but with much smaller standard errors. Perhaps not surprisingly given the large number of interaction terms and instruments, the data appear unable to tightly identify each interaction in column (2). Imposing zero restrictions alleviates this difficulty. Importantly, the overall fit as measured by the IV R2 and the inverse supply elasticity both remain unchanged between columns (2) and (3), indicating that both specifications fit the data equally well. The coefficient on the surviving interaction term land share × WRLURI × population growth indicates a larger inverse elasticity (price growth more sensitive to population) in areas with both high land share and high regulation. The R2 value of 0.40 reveals strong explanatory power of land share, population growth, and WRLURI when imposing the IVcoefficients. Thus, this column again illustrates the central result that fundamentally-driven population growth, land share, and heterogeneous long-run supply elasticities explain a substantial amount of the variation in house price growth over the entire BBR…”

The 2000s Housing Cycle With 2020 Hindsight: A Neo-Kindlebergerian View: Extended Excerpt Image 6


Fundamentals, Rents, and Price-to-Rent Ratio

"... Here, we revisit the increase in price-rent ratios with the benefit of 2020 hindsight and show that the component associated with long-run fundamentals predicts subsequent rent growth and not future price decline, consistent with our interpretation of this component as fundamentally-based. We start by characterizing the behavior of rents. Panel (a) of Figure 5 plots the growth rate of real rents in each CBSA between the 2000 Census and the 2018 American Community Survey (ACS) against the long-run fundamental, again measured as the second stage fitted value from column (3) of Table 2. Areas with higher fundamentals experienced larger rent growth over the BBR, with the relationship especially strong for larger CBSAs. Panel (b) shows the timing of rent growth using BLS CPI rent data for the 22 CBSAs with annual data since 1987, grouped into population-weighted quartiles of the long-run fundamental. Rents rise fastest in areas with the highest fundamentals, and this growth appears to represent a break from the pre-boom period. Column (1) of Table 4 shows that CBSA-level price-rent increases in the boom correlate positively with the long-run fundamental. We measure the log growth in the price-rent ratio using 2000 Census and 2006 ACS mean rent and the same house price data as above. The bivariate relationship has an R2 of 0.29. Columns (2) and (5) report the correlation of price-rent growth in the boom with subsequent rent and price growth over the 2006-18 period. This user-cost decomposition (Poterba, 1984) closely resembles the Campbell and Shiller (1988b) exercise of decomposing variation in the price-dividend ratio of a stock into future dividend growth and returns with rents replacing dividends as the cash-flow measure.15 Larger price-rent growth during the boom forecasts both higher subsequent rent growth and future relative price declines. Columns (3) and (6) restrict the variation in the price-rent ratio in the boom to the part associated with the long-run fundamental. Specifically, these columns report regressions of subsequent rent and price growth on the fitted value of the growth of the price-rent ratio from column (1). Strikingly, the rise in price-rent ratios associated with long-run fundamental growth predicts even faster subsequent rent growth than in column (2) and no subsequent price decline, validating our labeling of this component as a fundamental. Columns (4) and (7) show that the part of price-rent growth not explained by long run fundamentals predicts no subsequent rent growth and large subsequent price declines. These columns make clear that our empirical evidence admits the possibility of aspects of the housing boom not associated with long-run fundamentals; in fact, the part of price rent increases not correlated with long-run fundamentals looks very bubble-like ex post…"

Ed Comment:At the time and afterwards as prices rose, I said there was less of a bubble than claimed at the time, although today may be a bubble. I large part of the fall was driven by a run on the banks. I would think that interest rates play a large role in the price of real estate. I would think real estate prices (land plus the replacement cost of structures) x the interest rate must be proportional to incomes. Prices can temporarily rise faster than income while interest rates fall. I’m doubtful that in 2007 markets anticipated today’s low interest rates. It’s mistaken to assume markets anticipated low rates today in 2007. The “proper” valuation at that time is the expected long term rate at that time, not today’s unexpectedly lower rate, which has pushed valuations higher. Covid may have too. And today’s rates could be artificially low given what the Fed is doing. So today might be a bubble. That said, ’07 seemed like less of a bubble than everyone claimed it was. That works against Shiller BTW, who claimed with 20:20 hindsight that the ’07 bubble was obvious. Score one for Fama’s efficient market. It’s not so “obvious” anymore.

  • Financial Crisis
  • Comparisons
    • Historical
  • GDP
    • Business Cycle
    • Growth
    • Housing

Should US policies transfer our wealth to OPEC?

AI Summary. U.S. constraints on domestic fossil fuel production benefit overseas producers, as OPEC+ raised output by about 2 mmbd while U.S. crude production fell from 13.1 mmbd to 11.2 mmbd, shifting wealth abroad and raising domestic energy costs. The projected effect on global temperatures is a reduction of 0.173°C by 2100.

Benjamin Zycher National Review
Date Posted:
August 16, 2021
Is Database:
Database

@BenjaminZycher Reducing US fossil fuel production benefits OPEC+, offsetting US cuts with increased production. This shift transfers wealth to foreign producers, highlighting the unintended consequences of US policy decisions.

@BenjaminZycher Reducing US fossil fuel production benefits OPEC+, offsetting US cuts with increased production. This shift...

Do limits on US oil production shift wealth to foreign producers?

Core argument: The author argues that U.S. constraints on fossil fuel production transfer wealth to foreign producers such as OPEC+, raising domestic energy costs as global demand rises with economic recovery.

The Biden administration's constraints on U.S. fossil fuel production, aimed at climate goals, inadvertently benefit overseas producers like OPEC+. As U.S. crude oil output fell from 13.1 mmbd in Feb 2020 to 11.2 mmbd by July 2021, OPEC+ increased production by 2 mmbd through 2021, offsetting U.S. reductions. This shift transfers wealth to foreign producers, as global demand for fossil fuels rises with economic recovery. Despite the administration's climate policies, the net effect on global temperatures is negligible, with a projected reduction of only 0.173°C by 2100. The economic implications are significant: reduced U.S. production leads to higher energy costs domestically while enhancing the economic wellbeing of non-U.S. producers. This dynamic underscores the challenge of balancing climate objectives with economic realities, as international producers capitalize on the demand for fossil fuels, highlighting the unintended consequences of U.S. policy decisions.

Takeaways by Macro Roundup® AI

  1. The author argues that U.S. constraints on fossil fuel production transfer wealth to foreign producers such as OPEC+, raising domestic energy costs as global demand rises with economic recovery.
  2. The projected effect of the administration's climate policies on global temperatures is a reduction of 0.173°C by 2100.

Benjamin Zycher, "Should US policies transfer our wealth to OPEC+?"National Review, August 13, 2021, https://www.aei.org/articles/should-us-policies-transfer-our-wealth-to-opec/

Should US policies transfer our wealth to OPEC+?

Incoherence is nothing new in the Beltway, but it’s still quite something to see the Biden administration simultaneously pursue new constraints on U.S. production of fossil fuels as a central component of its “climate” policies, while at the same time attempting to avoid the adverse price effects of that production stance. The administration on August 11 issued a plea for another increase in crude-oil production by OPEC+ (the 13 members of OPEC and ten other major international producers):

While OPEC+ recently agreed to production increases, these increases will not fully offset previous production cuts that OPEC+ imposed during the pandemic until well into 2022. At a critical moment in the global recovery, this is simply not enough. President Biden has made clear that he wants Americans to have access to affordable and reliable energy, including at the pump.

This follows the Biden administration effort in July to urge OPEC+ “to quickly come up with a compromise ‘that will allow proposed production increases to move forward.’”

Increases in gasoline prices in particular are highly visible, and thus politically damaging. And so it is both distressing and amusing to observe these efforts by the administration even as it remains busy proclaiming its climate credentials.

The basic laws of economics are difficult to defy: As fossil-energy demand strengthens alongside the global recovery from the COVID-19 downturn, sharp price increases follow, an effect reinforced by previous cutbacks in crude-oil production by OPEC+. The Biden administration may believe that its July pronouncements carried weight, but, in the end, OPEC+ made its own decision in its own interests. Accordingly, OPEC+ in July agreed to increase production as a response to the increase in the international demand for crude oil. OPEC+ production will increase by about 2 million barrels per day (400,000 barrels per day each month) through the end of this year, and the overall OPEC+ production cut of 9.7 mmbd — about 23 percent — implemented in May 2020 will be phased out fully by September of next year.

This decision was going to be forthcoming with or without the statements from the Biden administration. Fossil-fuel resources are one central form of national wealth — at least in countries where it is recognized as such. The increase in demand for crude oil allows producers to realize the wealth value of those resources, a reality ignored by the Biden administration and its allied opponents of fossil fuels. This national-wealth dynamic is not a mere intellectual exercise: Competitive market forces combined with long-standing legal arrangements yield a distribution of that national wealth consistent with the contributions of workers, asset owners, investors, suppliers, and others whose efforts, risk-taking, and ownership rights make the acquisition of the increased national wealth a reality.

In other words, the enhanced production of fossil resources improves the economic wellbeing of actual people. U.S. production of crude oil was 13.1 mmbd at the end of February 2020, fell to 10 mmbd one year later, and since then has increased only to 11.2 mmbd in late July. For federal lands (onshore and offshore) managed by the Bureau of Land Management, total production of crude oil increased by about 3.4 percent from February 2020 to March 2021 (the latest month for which official data are available).

Accordingly, the Biden pause on new leasing on federal lands is perverse. Even if maintained permanently, it would have an impact on future climate phenomena literally equal to zero; the entire Biden net-zero greenhouse-gas emissions policy would reduce global temperatures by 0.173°C by 2100, using the EPA climate model under assumptions that exaggerate the effects of reductions in GHG emissions. Note that this outcome is independent of assumptions and views of the science and evidence on anthropogenic climate change.

As an aside, this dismal benefit/cost reality applies to international climate policy proposals also. The entire Paris agreement: about 0.17°C. Net-zero emissions by the entire Organization for Economic Cooperation and Development: 0.352°C. A 50 percent reduction in Chinese GHG emissions: 0.184°C. A global 50 percent reduction in GHG emissions implemented immediately and maintained strictly: 0.687°C. Because “climate policy” in its essence means a reduction in the wealth expansion represented by fossil fuels, and a sharp increase in energy costs, it is difficult to see how it can satisfy any rational benefit/cost test.

That international reality applies a fortiori to the U.S: There is no good reason that the U.S. should engage in mindless economic sacrifice. Nonetheless, it is clear that the Biden administration is determined to find ways to impose artificial restrictions on expanded fossil-fuel output, simply as a matter of ideological imperative: a self-defeating increase in the royalty rate on production from federal leases, disapprovals or restrictions on investments in pipelines and other fossil energy infrastructure, a deeply dubious tightening of methane-emissions standards, and a general shift away from fossil fuels in favor of an energy system producing “net-zero” greenhouse gas emissions by 2050.

This stance is perverse: Whatever one believes about climate issues, a reduction in U.S. fossil-fuel production will yield an offsetting increase in production by non-U.S. producers. That is the ongoing reality — no other outcome is plausible — and nothing can change it in a world in which individuals, groups, and governments are interested in wealth acquisition greater rather than smaller. When we observe the opponents of fossil fuels arguing for reduced U.S. production but increased output overseas, it is time to recognize that Bizarro World is not merely a comic-book construct.

Ed Comment: The entire Paris agreement: about 0.17°C. Net-zero emissions by the entire Organization for Economic Cooperation and Development: 0.352°C. A 50 percent reduction in Chinese GHG emissions: 0.184°C. A global 50 percent reduction in GHG emissions implemented immediately and maintained strictly: 0.687°C. BTW Here's why the biden admin can't manage the Afghan withdraw with the least bit of competence:Whatever one believes about climate issues, a reduction in U.S. fossil-fuel production will yield an offsetting increase in production by non-U.S. producers — no other outcome is plausible.When we observe the opponents of fossil fuels arguing for reduced U.S. production but increased output overseas, it is time to recognize that Bizarro World is not merely a comic-book construct.

  • Regulation
  • Science
    • Global Warming

When unemployment insurance benefits are rolled back: Impacts on job finding and the recipients of the Pandemic Unemployment Assistance Program

AI Summary. The authors estimate that expanded unemployment insurance supplements during the pandemic had modest effects on job search, with the $600 supplement reducing employment by less than 0.8% and the $300 supplement by less than 0.5%, and lowering job-finding rates by 0.6 to 1.1 percentage points.

Fiona Greig J.P. Morgan
Date Posted:
August 16, 2021
Is Database:
Database

Expanded UI had a modest job search disincentive, $600 reduced employment by <.8%, $300 reduced employment by <.5%.

How much did expanded unemployment benefits reduce job finding?

Core argument: The $600 pandemic unemployment insurance supplement reduced employment by less than 0.8% and the $300 supplement by less than 0.5%, a modest impact on job search incentives.

The expanded unemployment insurance (UI) during the pandemic had a modest impact on job search incentives, with the $600 supplement reducing employment by less than 0.8% and the $300 supplement by less than 0.5%. The job finding rate initially fell by 4 percentage points, but UI supplements only decreased it by 0.6 to 1.1 percentage points. Exit rates increased by 1 to 2 percentage points in March and April, likely due to more job openings, higher vaccination rates, and other factors. This indicates that UI supplements did not significantly hinder labor market recovery or contribute to wage growth at the lower end of the income distribution. The Pandemic Unemployment Assistance (PUA) effectively supported marginalized workers, suggesting its potential as a macroeconomic stabilizer in future recessions, provided it is designed to address exogenous income shocks rather than voluntary unemployment.

Takeaways by Macro Roundup® AI

  1. The $600 pandemic unemployment insurance supplement reduced employment by less than 0.8% and the $300 supplement by less than 0.5%, a modest impact on job search incentives.
  2. The job finding rate initially fell by 4 percentage points, but unemployment insurance supplements accounted for only 0.6 to 1.1 percentage points of that decline, suggesting the supplements did not significantly hinder labor market recovery or drive wage growth at the lower end.
  3. Exit rates rose 1 to 2 percentage points in March and April, likely reflecting more job openings, higher vaccination rates, and other factors, while the Pandemic Unemployment Assistance program supported marginalized workers and could serve as a macroeconomic stabilizer in future recessions.

Fiona Greig, Daniel Sullivan, Peter Ganong, Pascal Noel, Joseph Vavra, "When unemployment insurance benefits are rolled back: Impacts on job finding and the recipients of the Pandemic Unemployment Assistance Program," J.P. Morgan, July 2021, https://www.jpmorganchase.com/content/dam/jpmc/jpmorgan-chase-and-co/institute/pdf/when-unemployment-insurance-benefits-are-rolled-back-research-brief.pdf

When unemployment insurance benefits are rolled back: Impacts on job finding and the recipients of the Pandemic Unemployment Assistance Program: Extended Excerpt Image 1


JPM on impact of extended UI, "... Evidence as of May 2021 suggests that UI supplements had an impact on job-finding of unemployed workers, but it was small....In sum, we find evidence of a modest job search disincentive. The job finding rate fell by roughly 4 percentage points at the beginning of the pandemic. By comparison, our research designs suggest that the UI supplements decreased the new job finding rate by 0.6 to 1.1 percentage points. This in turn implies low effects of the supplements on employment: the $600 supplement reduced employment by less than 0.8 percent and the $300 supplement reduced employment by less than 0.5 percent. In addition, exit rates rose by 1 to 2 percentage points in March and April, while the $300 supplement was in effect, in what was likely a response to increased job openings, vaccination rates, in-person school and childcare, but also a bulge in UI recipients needing to reapply for UI at the end of 52 weeks of benefits. This suggests that UI supplements were not holding back the labor market recovery in a very significant way or contributing to wage growth that has occurred at the bottom of the income distribution.6 We conclude that unemployment supplements have not been the key driver of the job-finding rate through mid-May 2021...This suggests that UI supplements were not holding back the labor market recovery in a very significant way or contributing to wage growth that has occurred at the bottom of the income distribution. We conclude that unemployment supplements have not been the key driver of the job-finding rate through mid-May 2021 and that U.S. policy was therefore successful in insuring income losses from unemployment with minimal impacts on employment. PUA is successfully helping marginalized workers who experienced income losses similar to those suffered by traditional UI recipients. With the rise of contingent work more generally, a program like PUA may be an increasingly important macroeconomic stabilizer, especially if, in a future recession, payments are delivered more quickly than they were during the COVID-19 recession. However, in the absence of a pandemic, design of any such future program ought to contemplate ways to ensure benefits insure against exogenous income shocks rather than offset income losses associated with a choice not to work...."

Ed Comment: The effects of unemployment… is it the average for the whole population or for only marginal (i.e. laid off) low-skilled workers? the former would be very deceiving. We (our office) are utterly unaffected by the policies. We only care about my sister-in-law, who is eager not to work if she can afford not to work.

Steve Comment: The JPM paper tries to distinguish btw the whole working population and lower value add workers, using income as a proxy for skill and does find the lower value add workers are more sensitive to the expanded UI:“…In Figures 2 and 3, we further examine the disincentive effects of UI supplements by separating our sample into two groups:workers with above median income replacement rates with the supplement (i.e. lower wage workers) and workers with below median income replacement rates with the supplements (i.e. higher wage workers).If work disincentive effects from UI supplements exist they should be stronger for the group who is “more treated” by the policy. In other words, we should observe larger changes in the job finding rate for lower-wage workers for whom the supplements represented a larger proportional benefit increase.To facilitate comparison between the two groups, we normalize the job-finding rate by the time period where the supplement is not available and both groups have similar replacement rates. We observe three notable trends. First, when supplements are in effect (shaded parts of the graphs), the job finding rate is slightly lower among workers with higher UI replacement rates. Second, when supplement policies change (moving from shaded to unshaded parts of the graph and vice-versa),the job finding rate changes more among workers with a higher UI replacement rate—it increases more when supplements are removed (Figure 2) and decreases more when supplements are reinstated (right chart).Third, in March and April of 2021 (Figure 3), the job finding rate increases dramatically but temporarily for both low-and high-replacement workers. Jobs reports and other indicators posted very strong job gains and job openings during this period, and many states faced some difficulty renewing UI payments for workers who had been receiving benefits for 52 weeks. Importantly, the fluctuations in UI exit rates for both groups in April 2021—when no changes to the supplement had been announced—are much larger than the differential changes between the two groups when supplement policy changes do occur….”

  • Government Spending
  • Fiscal Policy
  • Workforce
    • Unemployment/Participation

A Climate of Catastrophe

AI Summary. The Intergovernmental Panel on Climate Change estimates climate sensitivity at 2.5 to 4 degrees Celsius, a narrower top end than its earlier 1.5 to 4.5 degree range, and puts warming since the late 19th century at 1.1 degrees. The author argues low-cost natural gas and nuclear power can cut emissions while preserving growth.

Editorial Board Wall Street Journal
Date Posted:
August 16, 2021
Is Database:
Database

The latest IPCC report indicates a revised climate sensitivity range of 2.5 to 4 degrees Celsius, higher than the late 1800s, reflecting a moderated top-end estimate compared to the 2013 range of 1.5 to 4.5 degrees. @WSJ.

The latest IPCC report indicates a revised climate sensitivity range of 2.5 to 4 degrees Celsius, higher than the late...

Can natural gas and nuclear power cut emissions without sacrificing growth?

Core argument: The IPCC report narrows its climate sensitivity range to 2.5–4°C above late-1800s levels, moderating the top end from the 2013 range of 1.5–4.5°C.

The latest IPCC report indicates a revised climate sensitivity range of 2.5 to 4 degrees Celsius, higher than the late 1800s, reflecting a moderated top-end estimate compared to the 2013 range of 1.5 to 4.5 degrees. This adjustment underscores the potential economic implications of continued CO2 emissions, as future temperature increases could significantly impact global GDP and necessitate costly adaptation measures. Despite the alarming rhetoric, the report suggests that the Earth has warmed by 1.1 degrees Celsius since the late 19th century, only 0.1 degree more than previous estimates. The economic challenge lies in balancing the need for CO2 reduction with maintaining economic growth, as trillions have been spent on renewable energy with limited climate impact. A pragmatic approach would involve leveraging innovation in low-cost natural gas and nuclear power to reduce emissions while fostering economic resilience and adaptation strategies.

Takeaways by Macro Roundup® AI

  1. The IPCC report narrows its climate sensitivity range to 2.5–4°C above late-1800s levels, moderating the top end from the 2013 range of 1.5–4.5°C.
  2. The IPCC report puts warming since the late 19th century at 1.1°C, only 0.1°C above previous estimates.
  3. Trillions spent on renewable energy have yielded limited climate impact, and an alternative approach would draw on innovation in low-cost natural gas and nuclear power to cut emissions while supporting economic growth and adaptation.

Editorial Board, "A Climate of Catastrophe,"Wall Street Journal, August 9, 2021, https://www.wsj.com/articles/a-climate-of-catastrophe-united-nations-intergovernmental-panel-on-climate-change-report-11628546180

A Climate of Catastrophe

The world awoke Monday after a logy August weekend to some alarming news: The climate Apocalypse is nigh, humanity is to blame, and unless the world remakes the global economy, havoc and death are inevitable. Repent of your sins all ye who enter here.

That’s only a mild overstatement of the media’s fire-and-brimstone accounts of the latest report by the United Nations Intergovernmental Panel on Climate Change (IPCC), a collection of scientists and politicians who purport to offer the best evidence on climate change. Prepare for days of reading what a terrible person you are for using a natural gas stove.

The gargantuan report will take time to plow through, but a read of the 41-page “summary for policymakers” and perusal of the rest suggests that there is no good reason to sacrifice your life, or even your standard of living, to the climate gods. Hot rhetoric aside, the report doesn’t tell us much that’s new since its last report in 2013, and some of that is less dire.

“It is unequivocal that human influence has warmed the atmosphere, ocean and land,” says the report in its lead conclusion. But no one denies that the climate has been warming, and no one serious argues that humans play no role. How could eight billion people not? Adding the adjective “unequivocal” adds emphasis but not context.

The report says the Earth has warmed by 1.1 degree Celsius since the last half of the 19th century, which is 0.1 degree warmer than its last estimate. This is not apocalyptic. The five-alarm headlines arise from the predictions of future temperature increases if greenhouse gas emissions, especially CO2, continue to increase.

Yet the report’s estimate of “climate sensitivity”—its response to a doubling of CO2—has moderated at the top end. The likely sensitivity range, says the report, is 2.5 to 4 degrees Celsius higher than in the late 1800s. The likely range was 1.5 to 4.5 in the 2013 report.

The new report offers five climate scenarios based on estimates of CO2 emissions. The intermediate scenario’s “best estimate” is a 1.5 degree increase by 2040 and a range of 2.1 to 3.5 by 2100. This is a highly speculative estimate on which to bet the U.S. economy.

The biggest difference is the new report’s direct linkage of warming to catastrophic weather events such as hurricanes, severe heat waves or rain events, drought and so on. The summary says this is based on “new methodology” and evidence, which means computer models. We await what independent climate experts say as they dig into these models.

But we know climate models are far from perfect, which explains the varying “confidence” levels attached to the report’s predictions. Steven Koonin, the scientist and former Obama official, devotes an illuminating chapter to “many muddled models” in his recent book about climate science, “Unsettled.”

The report also downplays some of the disaster scenarios you read about. It has “low confidence” that the Antarctic sea ice will melt. It says it is likely that tropical cyclones have increased around the world, but there is “low confidence in long-term (multi-decadal to centennial) trends in the frequency of all-category tropical cyclones.” Keep that in mind when the next hurricane becomes proof in the press of climate catastrophe.

Even the report’s prediction that warming oceans will melt Arctic sea ice doesn’t sound like a scene from “Waterworld.” The “Arctic is likely to be practically sea ice free in September at least once before 2050” under the five scenarios. Only once in 29 years, and not the rest of the fall and winter? Further thawing of the permafrost is said to be likely but how much or to what effect is uncertain.

Keep in mind that the IPCC report is a political document. It is intended to scare the public and motivate politicians to reduce CO2 emissions no matter the cost, which by the way the report summary never mentions. No less than Al Gore admitted this on PBS in October 2018 when the IPCC issued an interim report: “The language the IPCC used in presenting it was torqued up a little bit, appropriately. How do they get the attention of policymakers around the world?”

Torqued up is right. The U.N. Secretary-General called the new report a “code red for humanity.” And someone at Reuters actually wrote this sentence: “Further warming could mean that in some places, people could die just from going outside.”

If they really believe this, the policy response has failed miserably. Politicians have spent trillions of dollars subsidizing renewable energy with no effect on climate. Nuclear power, which would sharply reduce CO2, is taboo among the greens. Innovation in developing low-cost natural gas, which substitutes for coal, may have done more than any government policy to reduce U.S. emissions. Yet President Biden wants to crush the gas industry with regulation.

The IPCC report doesn’t justify putting the U.S. economy into the hands of government. A sensible climate policy will continue to monitor trends, while allowing a free economy to find solutions and build the wealth that will allow for adaptation and amelioration if the worst happens. This lacks the drama of the Apocalypse, but it will better serve the world.

“…The report says the Earth has warmed by 1.1 degree Celsius since the last half of the 19th century, which is 0.1 degree warmer than its last estimate. This is not apocalyptic. The five-alarm headlines arise from the predictions of future temperature increases if greenhouse gas emissions, especially CO2, continue to increase. Yet the report’s estimate of “climate sensitivity”—its response to a doubling of CO2—has moderated at the top end. The likely sensitivity range, says the report, is 2.5 to 4 degrees Celsius higher than in the late 1800s. The likely range was 1.5 to 4.5 in the 2013 report….”

Ed Comment: Here's a factoid about global warming that I didn't know: "The likely sensitivity range, says the report, is 2.5 to 4 degrees Celsius higher than in the late 1800s." I thought the range was relative to today. Weren't we still in the mini ice age then? Didn't NYC Harbor freeze back then? According to the op-ed, "The report says the Earth has warmed by 1.1 degree Celsius since the last half of the 19th century."So is the likely range 1.4 to 2.9 degrees warner than today? That's less than I thought.

  • Politics
  • Science
    • Global Warming

Dont buy the latest climate-change alarmism

AI Summary. United Nations climate projections indicate the average person worldwide will be 436% better off by 2100, versus 450% without climate change — a modest reduction in prosperity growth rather than catastrophe. Adaptation and rising prosperity are projected to cut the number of people affected by flooding 12,000-fold.

Bjorn Lomborg New York Post
Date Posted:
August 16, 2021
Is Database:
Database

By 2100, the average person worldwide is projected to be 436% better off compared to 450% without climate change, indicating a modest reduction in prosperity growth.

By 2100, the average person worldwide is projected to be 436% better off compared to 450% without climate change, indicating...

Does climate change modestly slow prosperity growth rather than reverse it?

Core argument: The UN climate report projects the average person worldwide will be 436% better off by 2100 with climate change, versus 450% without it, a modest reduction in prosperity growth rather than a catastrophic decline.

The latest UN climate report highlights that while climate change is a real issue, its economic impact is often overstated. By 2100, the average person worldwide is projected to be 436% better off compared to 450% without climate change, indicating a modest reduction in prosperity growth rather than a catastrophic decline. Adaptation plays a crucial role, as demonstrated by models showing a 12,000-fold reduction in the number of people affected by flooding due to rising prosperity and adaptive measures. Additionally, climate change has led to a net saving of 166,000 lives annually by reducing cold-related deaths more than it increases heat-related ones. The report also notes the positive impact of increased CO₂ levels, which have contributed to significant global greening. These insights suggest that while climate change poses challenges, its impacts are manageable with smart policy and adaptation strategies.

Takeaways by Macro Roundup® AI

  1. The UN climate report projects the average person worldwide will be 436% better off by 2100 with climate change, versus 450% without it, a modest reduction in prosperity growth rather than a catastrophic decline.
  2. Models cited in the UN climate report show a 12,000-fold reduction in the number of people affected by flooding, attributed to rising prosperity and adaptive measures.
  3. The UN climate report attributes a net saving of 166,000 lives annually to climate change, as reduced cold-related deaths outweigh added heat-related ones, and notes that higher CO₂ levels have contributed to global greening.

Bjorn Lomborg on IPCC report, “…, the report is actually serious and sensible (and very, very long). It doesn’t surprise, since it is a summary of already-published studies, yet it reconfirms that global warming indeed is real and a problem.…The UN report only deals with the physical impact of climate change, but of course, much of what really matters is how humans handle this. Often the real problem of rising sea levels is converted into a catastrophe by arguing that nobody will adapt and everyone will drown or be displaced. Remember when news reports told us that rising seas will displace an astonishing 187 million people, potentially “drowning” entire cities like Miami in 80 years? In reality, humans adapt, as Holland has shown. That’s why many models show that adaptation will reduce the number of flooded people 12,000-fold. As in the past, rising prosperity will continue to reduce flood impacts, and climate change will merely slow down this reduction slightly. Ultimately, this is why the scare stories on climate impacts are vastly overblown and not supported by this new climate report. One of the clearest ways to see this is through climate economics. Because of climate change, the average person worldwide will be “only” 436 percent as well off in 2100 as they are now, instead of 450 percent….”

This matters because globally, many more people die from cold than from heat. A study in the highly respected journal Lancet shows that about half a million people die from heat per year, but 4.5 million people die from cold.

As temperatures have increased over the past two decades, that has caused an extra 116,000 heat deaths each year. This, of course, fits the narrative and is what we have heard over and over again. But it turns out that because global warming has also reduced cold waves, we now see 283,000 fewer cold deaths.

You don’t hear this, but so far climate change saves 166,000 lives each year.

Likewise, we have heard a lot about flooding in Germany and elsewhere being caused by climate change. But the new UN report tells us it has “low confidence in the human influence on the changes in high river flows on the global scale” — and low confidence in attributing “changes in the probability or magnitude of flood events.” The report tells us that the evidence isn’t there to say floods are caused or driven by climate change.

It also mentions climate upsides like the fact that more CO₂ in the atmosphere has acted as a fertilizer and created a profound global greening of the planet. One NASA study found that over a period of 35 years, climate change has added an area of green equivalent to twice the size of the continental United States. But don’t expect to read about this in any of the breathless articles on climate impact.

The UN report only deals with the physical impact of climate change, but of course, much of what really matters is how humans handle this. Often the real problem of rising sea levels is converted into a catastrophe by arguing that nobody will adapt and everyone will drown or be displaced. Remember when news reports told us that rising seas will displace an astonishing 187 million people, potentially “drowning” entire cities like Miami in 80 years?

In reality, humans adapt, as Holland has shown. That’s why many models show that adaptation will reduce the number of flooded people 12,000-fold. As in the past, rising prosperity will continue to reduce flood impacts, and climate change will merely slow down this reduction slightly.

Ultimately, this is why the scare stories on climate impacts are vastly overblown and not supported by this new climate report. One of the clearest ways to see this is through climate economics. Because of climate change, the average person worldwide will be “only” 436 percent as well off in 2100 as they are now, instead of 450 percent.

This is not the apocalypse but a problem we should fix smartly.

Bjorn Lomborg, "Don’t buy the latest climate-change alarmism,"New York Post, August 9, 2021, https://nypost.com/2021/08/09/dont-buy-the-latest-climate-change-alarmism/

Don’t buy the latest climate-change alarmism

The Intergovernmental Panel on Climate Change just released its latest climate report, and reactions from politicians and media pundits could not have been more predictable.

Fitting the apocalyptic narrative many have spun lately, the always-breathless Guardian literally summarized this scientific report as finding mankind “guilty as hell” of “climate crimes of humanity.” (Needless to say, the report never says any such things.)

UN Secretary-General António Guterres called the findings a “code red for humanity,” saying we can only avert catastrophe by acting in the next couple of months. Of course, the United Nations has a long history of claiming catastrophe is right around the corner: The first UN environment director claimed half a century ago that we had just 10 years left, and the then-head of the IPCC insisted in 2007 that we had just five years left.

In contrast to the hyperventilating media, the report is actually serious and sensible (and very, very long). It doesn’t surprise, since it is a summary of already-published studies, yet it reconfirms that global warming indeed is real and a problem.

But it also highlights how much one-sided thinking takes place in the climate conversation. Since the heat dome in June, there has been a lot of writing about more heat deaths. And the IPCC confirms that climate change indeed has increased heatwaves. However, the report equally firmly, if virtually unacknowledged, tells us that global warming means “the frequency and intensity of cold extremes have decreased.”

  • Global Warming

America the Outlier: Voter Photo IDs Are the Rule in Europe and Elsewhere

AI Summary. 33 of 37 OECD countries require government-issued photo identification to vote, and 74% of European countries ban absentee voting for residents living domestically, while photo ID requirements remain contested in the United States. Countries that adopted stricter identification rules after episodes of electoral fraud saw participation rise rather than fall, attributed to greater trust in elections.

John Lott Jr. Real Clear Investigations
Date Posted:
August 16, 2021
Is Database:
Database

33 of 37 OECD countries require photo IDs to vote, contrasting with U.S. debates on voter ID laws. Europe’s strict ID policies aim to prevent fraud and boost turnout.

33 of 37 OECD countries require photo IDs to vote, contrasting with U.S. debates on voter ID laws. Europe’s strict ID...

Do voter photo ID requirements reduce election participation?

Core argument: 33 of 37 OECD countries require a government-issued photo ID to vote, while the United States continues to debate voter ID requirements.

In the OECD, 33 of 37 countries mandate government-issued photo IDs for voting, highlighting a global trend towards stricter voter ID laws. This contrasts with the U.S., where debates persist over voter ID requirements. European nations, often admired by American progressives, largely enforce these measures to combat fraud, with 74% banning absentee voting for domestic residents and 15% requiring photo IDs for absentee ballots. Historical instances of electoral fraud in countries like Northern Ireland and Mexico have led to the adoption of stringent ID laws, which have not suppressed voter turnout but rather increased participation by enhancing trust in the electoral process. Despite evidence from abroad, U.S. legislative efforts to relax ID requirements continue, sparking controversy and corporate backlash.

Takeaways by Macro Roundup® AI

  1. 33 of 37 OECD countries require a government-issued photo ID to vote, while the United States continues to debate voter ID requirements.
  2. Among European nations, 74% ban absentee voting for residents living domestically and 15% require photo identification for absentee ballots.
  3. Electoral fraud in Northern Ireland and Mexico prompted the adoption of stringent voter ID laws that, by this account, did not suppress turnout but increased participation by strengthening trust in elections.

John Lott, “…government-issued photo IDs are required to vote by 33 nations in the 37-member Organistion for Economic Co-operation and Development(which has considerable European overlap). Only the UK, Japan, New Zealand, and Australia currently do not require IDs. …”

John Lott Jr., "America the Outlier: Voter Photo IDs Are the Rule in Europe and Elsewhere," Real Clear Investigations, June 1, 2021, https://www.realclearinvestigations.com/articles/2021/06/01/the_us_is_a_voter_photo_id_outlier_theyre_the_rule_in_europe_and_elsewhere_778714.html

America the Outlier: Voter Photo IDs Are the Rule in Europe and Elsewhere

Democrats and much of the media are pushing to make permanent the extraordinary, pandemic-driven measures to relax voting rules during the 2020 elections - warning anew of racist voter “suppression” otherwise. Yet democracies in Europe and elsewhere tell a different story - of the benefits of stricter voter ID requirements after hard lessons learned.

A database on voting rules worldwide compiled by the Crime Prevention Research Center, which I run, shows that election integrity measures are widely accepted globally, and have often been adopted by countries after they've experienced fraud under looser voting regimes.

Of 47 nations surveyed in Europe -- a place where, on other matters, American progressives often look to with envy -- all but one country requires a government-issued photo voter ID to vote. The exception is the U.K., and even there voter IDs are mandatory in Northern Ireland for all elections and in parts of England for local elections. Moreover, Boris Johnson’s government recently introduced legislation to have the rest of the country follow suit.

Criticisms of the British leader’s voter ID push are similar to those heard in the U.S. The Scottish National Party claims his voter ID push targets “lower income, ethnic minority and younger people” who are less likely to vote for Johnson’s conservatives and therefore represents “Trump-like voter suppression.”

Yet despite such pushback, Britain looks set to follow countries in Europe and elsewhere with stricter voting regimes, few of which temporarily relaxed any of their voting rules during the pandemic.

Seventy-four percent of European countries entirely ban absentee voting for citizens who reside domestically. Another 6% limit it to those hospitalized or in the military, and they require third-party verification and a photo voter ID. Another 15% require a photo ID for absentee voting.

Similarly, government-issued photo IDs are required to vote by 33 nations in the 37-member Organistion for Economic Co-operation and Development (which has considerable European overlap). Only the UK, Japan, New Zealand, and Australia currently do not require IDs. Of those outliers:

Japan provides each voter with tickets that bear unique bar codes. If the voter loses the ticket or accidentally brings the ticket for another family member, polling staff verifies the voter’s name and address using a computer with access to the city’s database. The voter may have to present government-issued photo identification.

New Zealand technically requires an ID with a unique code, but while it will take longer to look up identifying information, it is still possible to vote without the ID.

Australia has by far the loosest rules, and while a photo ID is required to register to vote, once at a polling station, voters need simply report their names, addresses, and whether they have voted in a previous election.

There were a few exceptions to developed countries’ general avoidance of emergency voting measures during the pandemic. Poland allowed mail-in ballots for everyone last year as a one-time measure, as did two cities in Russia, but Poland’s rushed plan played out so poorly it dissuaded other countries from following suit. France made more limited exceptions, temporarily allowing sick or at-risk individuals to vote absentee.

In some countries, even driver’s licenses aren’t considered authoritative enough forms of voter identity verification. The Czech Republic and Russia require passports or military-issued IDs and others use national identity cards. Others go even further: Colombia and Mexico each require a biometric ID to cast a ballot.

Many countries in Europe and beyond have learned the hard way that fraud can result from looser voting regimes -- and they have instituted stricter voting measures in direct response to it.

In Northern Ireland, where a bitter sectarian conflict extends to hardball electoral machinations, voter fraud has been described as “widespread and systemic” on all sides. Both Conservative and Labour governments instituted reforms to quell it. In 1985, the U.K. started requiring identification before ballots could be issued. This proved insufficient. A 1998 Select Committee on Northern Ireland report found that medical cards used as IDs after the 1985 law could be “easily forged or applied for fraudulently,” thus allowing non-existent people to vote. By 2002, the Labour government made voter identification cards much more difficult to forge, and used the more secure ID and other rules to prevent people from registering to vote multiple times. These anti-fraud provisions led to an immediate 11% reduction in total registrations -- a suggestion to Labour of the extent of earlier fraud.

One study of vote fraud in Northern Ireland before the 2002 reforms interviewed Brendan Hughes, the former IRA Belfast commander. Hughes explained that he had a fleet of taxis to ferry fraudulent voters from one polling station to another and that they “dressed up volunteers with wigs, clothes, and glasses, and said this practice continued for decades.” Young women were usually “used for voter impersonation because they were more likely to be let off if there was any doubt.”

A 2002 survey of Northern Ireland by the U.K. Electoral Commission, conducted after the rules passed but before they went into effect, found that by a 64% to 10% margin, voters thought that vote “fraud in some areas is enough to change the election results.”

Elsewhere in Britain, there have been notable fraud cases involving absentee ballots. In 2004, before recent photo ID requirements, six Labour Party councilors in Birmingham won office in what a judge later described as a “massive, systematic and organized” postal voting fraud campaign. The fraud was apparently carried out with the full knowledge and cooperation of the local Labour party, and involved “widespread theft” of absentee ballots (possibly around 40,000) in areas with large Muslim populations. The fraud reflected some Labour members’ worries that the areas’ Muslims could no longer be trusted to vote for the party because of unhappiness over the Iraq War.

On the mainland, France banned mail-in voting in 1975 because of massive fraud in the island region of Corsica, where postal ballots were stolen or bought and others were cast in the names of dead people.

In Hungary, which has the most lenient mail-in voting regulations in Europe, including no ID requirement, the government of Prime Minister Viktor Orbán, criticized for authoritarian tendencies, won 96% of the mail votes in the 2018 election, thus giving itself a supermajority in parliament by a very slim margin. Concerns are that fraud is possible because “there is little scope for verification of identities, or to check that people are still alive.”

When there are no tamper-resistant photo IDs, fraud is difficult to prove. If hundreds or thousands of people vote at a polling place, how do you verify if someone voted by pretending to be someone else? Criminal convictions tend to occur only when people try voting in the same polling station multiple times instead of visiting multiple stations. But, with poll workers often working different shifts, even the same polling station can be compromised.

Take a case from the U.K. in 2016. As the Electoral Commission describes it: “Later in the day the same voter attended again and sought to vote again, this time in his own name. Due to certain physical characteristics of the voter (he was very tall and wore distinctive clothing) and the vigilance of the presiding officer he was suspected of having already voted earlier and formally challenged.”

In another case in the U.K. from 2017, police caught a person voting multiple times only because he openly bragged about it on Twitter. By far the most common consequence for those caught voting multiple times is a “caution” notice from the police.

American progressives might take heed of a Mexican election stolen from voters on the left in part due to lax voting requirements facilitating fraud. The 1988 loss of Cuauhtémoc Cárdenas, the leading leftist presidential candidate, to Carlos Salinas de Gortari of the long-governing Institutional Revolutionary Party has long been considered a result of electoral chicanery, later even acknowledged by the president at the time, Miguel de la Madrid.

And as a result of that fraud, Mexico in 1991 mandated voter photo IDs with biometric information, banned absentee ballots, and required in-person voter registration. Despite making registration much more difficult and banning absentee ballots, voter participation rates rose after Mexico implemented the new rules. In the three presidential elections following the 1991 reforms, an average of 68% of the eligible citizens voted, compared with only 59% in the three elections prior to the rule changes. Seemingly, as people gained faith in the electoral process, they became more likely to vote. Ultimately, in 2006 Mexico would revert to permitting absentee voting, but limited it to those living abroad who requested a ballot at least six months in advance. Claims of voting irregularities have occasionally arisen in later years, but they focus on vote buying, not impersonating others, or having non-existent people voting.

Despite the record of Europe and the vast majority of the rest of the developed world, congressional Democrats are pushing to remove identification requirements for voting. The House recently passed the For the People Act of 2021, which replaces state voter ID rules with a signed statement from the voter, and makes permanent the pandemic’s mail-in ballot voting. The mailing out of blank absentee ballots en masse would become a fixture of American elections. The Senate Committee on Rules and Administration marked up the bill, but failed to pass it with a 9-to-9 pure party-line tie vote. However, Democrats have recently changed Senate rules, so they can still bring the bill to the Senate floor for a vote.

Meanwhile, efforts in Republican states to require voter IDs for in-person voting and absentee ballots have triggered boycotts from Major League Baseball and other corporations. Georgia’s new absentee provisions raised a ruckus despite being much less restrictive than much of the rest of the world. Anyone who wants an absentee ballot can obtain one. A reason need not be given, such as being out of town, but one must have an ID to get an absentee ballot. The pattern is similar for developed countries around the world.

The case of Mexico undermines the idea that stricter voting rules lead to vote suppression, and so does some of the evidence from America. A number of states have in recent years instituted photo and non-photo ID measures, and found no statistically significant change in voter participation rates. Other evidence suggests that black and minority voter registration rates increased faster than whites after states implemented voter ID requirements for registration.

RCI contacted both the Brennan Center for Justice and the ACLU, two organizations that have been at the forefront of the ballot access/voting integrity debate, to ask them what they made of the more restrictive voting rules implemented elsewhere. The ACLU did not respond, and a Brennan Center spokesman said: “As a rule, we don’t comment on other countries’ voting systems because that’s not our area of expertise.”

  • Politics
  • Comparisons
    • Cross-country

Behind the Rise of U.S. Solar Power, a Mountain of Chinese Coal

AI Summary. Solar expansion in the U.S. and Europe depends on Chinese-made panels produced with coal-fired electricity, which carry twice the carbon dioxide emissions of European-made panels; Chinese factories supply over 75% of the world's polysilicon. Western governments are weighing policies favoring low-carbon panels to rebuild domestic solar industries.

Matthew Dalton Wall Street Journal
Date Posted:
August 16, 2021
Is Database:
Database

Chinese solar panel production creates twice as much carbon dioxide as panels manufactured in Europe.

Chinese solar panel production creates twice as much carbon dioxide as panels manufactured in Europe.

Does Western solar growth depend on coal-powered Chinese panel manufacturing?

Core argument: Chinese-manufactured solar panels, produced with coal-fired electricity, carry twice the CO2 emissions of European-made panels, even as replacing fossil-fuel generation still yields a long-term net reduction in CO2.

The rapid expansion of solar power in the U.S. and Europe is heavily reliant on Chinese-manufactured panels, which are produced using coal-fired electricity, resulting in twice the CO2 emissions compared to European-made panels. Chinese factories supply over 75% of the world's polysilicon, a key solar panel component, benefiting from low-cost coal power. This reliance on high-emission Chinese panels poses a challenge to global emission reduction efforts, despite the long-term net reduction in CO2 emissions from replacing fossil fuel-generated electricity. Western governments are considering policies to favor low-carbon panels, aiming to rebuild their solar industries and reduce dependency on Chinese coal. However, China's dominance in the solar supply chain complicates these efforts, as it controls most of the production stages from polysilicon to panel assembly.

Takeaways by Macro Roundup® AI

  1. Chinese-manufactured solar panels, produced with coal-fired electricity, carry twice the CO2 emissions of European-made panels, even as replacing fossil-fuel generation still yields a long-term net reduction in CO2.
  2. Chinese factories supply over 75% of the world's polysilicon, a key solar panel component, benefiting from low-cost coal power, and China controls most production stages from polysilicon to panel assembly.
  3. Western governments are weighing policies favoring low-carbon panels to rebuild domestic solar industries and cut dependence on Chinese coal, an effort complicated by China's dominance of the solar supply chain.

Net carbon impact on Chinese solar panels, “…Chinese factories supply more than three-quarters of the world’s polysilicon, an essential component in most solar panels, according to industry analyst Johannes Bernreuter. Polysilicon factories refine silicon metal using a process that consumes large amounts of electricity, making access to cheap power a cost advantage. Chinese authorities have built an array of coal-burning power plants in sparsely populated areas such as Xinjiang and Inner Mongolia to support polysilicon manufacturers and other energy-hungry industries.Producing a solar panel in China creates around twice as much carbon dioxide as making it in Europe, said Fengqi You, professor of energy systems engineering at Cornell University. In some countries or regions that don’t rely heavily on fossil fuels for electricity generation, such as Norway and France, installing a high-carbon, Chinese-made solar panel might not reduce emissions at all, Mr. You said. “Yes, we are clean” in the West, said Mr. You. “But then the process of getting these panels from another country—China now, maybe somewhere else later—produces a lot of emissions.”Scientists say, however, that installing Chinese-made panels almost always results in a net reduction in carbon dioxide emissions over time, because the panels are usually replacing electricity generated from fossil fuels. The emissions avoided after the first few years of a solar panel’s 30-year lifespan can offset the emissions required to produce it…”

Matthew Dalton, "Behind the Rise of U.S. Solar Power, a Mountain of Chinese Coal,"Wall Street Journal, July 31, 2021, https://www.wsj.com/articles/behind-the-rise-of-u-s-solar-power-a-mountain-of-chinese-coal-11627734770

Behind the Rise of U.S. Solar Power, a Mountain of Chinese Coal

Solar panel installations are surging in the U.S. and Europe as Western countries seek to cut their reliance on fossil fuels.

But the West faces a conundrum as it installs panels on small rooftops and in sprawling desert arrays: Most of them are produced with energy from carbon-dioxide-belching, coal-burning plants in China.

Concerns are mounting in the U.S. and Europe that the solar industry’s reliance on Chinese coal will create a big increase in emissions in the coming years as manufacturers rapidly scale up production of solar panels to meet demand. That would make the solar industry one of the world’s most prolific polluters, analysts say, undermining some of the emissions reductions achieved from widespread adoption.

For years, China’s low-cost, coal-fired electricity has given the country’s solar-panel manufacturers a competitive advantage, allowing them to dominate global markets.

Chinese factories supply more than three-quarters of the world’s polysilicon, an essential component in most solar panels, according to industry analyst Johannes Bernreuter. Polysilicon factories refine silicon metal using a process that consumes large amounts of electricity, making access to cheap power a cost advantage. Chinese authorities have built an array of coal-burning power plants in sparsely populated areas such as Xinjiang and Inner Mongolia to support polysilicon manufacturers and other energy-hungry industries.

Producing a solar panel in China creates around twice as much carbon dioxide as making it in Europe, said Fengqi You, professor of energy systems engineering at Cornell University. In some countries or regions that don’t rely heavily on fossil fuels for electricity generation, such as Norway and France, installing a high-carbon, Chinese-made solar panel might not reduce emissions at all, Mr. You said.

“Yes, we are clean” in the West, said Mr. You. “But then the process of getting these panels from another country—China now, maybe somewhere else later—produces a lot of emissions.”

Scientists say, however, that installing Chinese-made panels almost always results in a net reduction in carbon dioxide emissions over time, because the panels are usually replacing electricity generated from fossil fuels. The emissions avoided after the first few years of a solar panel’s 30-year lifespan can offset the emissions required to produce it.

Some Western governments and corporations are attempting to shift the solar industry away from coal. Companies that buy renewable energy are laying the groundwork to favor low-carbon solar panels when financing solar projects. The U.S. federal government is drafting a policy to do the same when it buys solar panels, said a spokesman for the Environmental Protection Agency. And the European Union is considering whether to regulate the carbon content of panels sold throughout the 27-nation bloc, EU officials say.

These policies would also help rebuild the West’s solar industry, which has withered under competition from higher-polluting Chinese producers, Western executives say.

U.S. solar power capacity in the last two years has jumped 48%, according to consulting firm Wood Mackenzie. In Europe, it is up 34%. Those installations amount to tens of thousands of solar panels shipped each year.

“Large energy buyers can influence supply chains,” said Jen Snook of the Renewable Energy Buyers Alliance, which represents Amazon.com Inc., Salesforce.com Inc. and more than 200 other corporations. “Solar hopefully will continue on a very strong growth rate, and we want to ensure that growth is sustainable.”

The dilemma is becoming more apparent as world leaders prepare to meet in Glasgow, Scotland, in November to make a new push to reduce greenhouse gas emissions. Part of that effort involves coaxing China, the world’s largest emitter, to shift away from coal-burning electricity to slash emissions even as the West gorges on Chinese gear from solar panels to lightweight aluminum for electric vehicles. At a July meeting of environment ministers from the Group of 20 leading economies, China and India blocked an agreement to phase out coal-fired electricity.

Finding alternatives won’t be easy. China’s surging and cheaper polysilicon production has harmed U.S. producers, forcing the shutdown of several factories that use power sources with lower carbon emissions than Chinese producers. Wacker Chemie AG, the West’s largest producer of solar-grade polysilicon, pays up to four times as much for power at its factories in Germany compared with Chinese producers in Xinjiang, said company spokesman Christof Bachmair.

China has pushed down the price of panels so sharply that solar power is now less expensive than electricity generated from fossil fuels in many markets around the world. Imports of the solar cells that make up the panels are also flooding into the U.S. and Europe.

Those shipments are either coming directly from China or contain key components made in China.

“If China didn’t have access to coal, then solar power wouldn’t be cheap now,” said Robbie Andrew, a senior researcher at the Center for International Climate Research in Oslo. “Is it OK that we’ve had this huge bulge of carbon emissions from China because it allowed them to develop all these technologies really cheaply? We might not know that for another 30 to 40 years.”

Some Chinese polysilicon producers are well-placed to respond to Western demand for low-carbon panels. Tongwei, the world’s largest producer, has some factories that run on hydropower. However, Daqo New Energy and GCL Poly, Tongwei’s main Chinese competitors, rely overwhelmingly on coal, according to the companies.

France is one of the few countries that regulate the carbon content of solar panels, requiring low-carbon panels for large solar projects. That has encouraged some Chinese panel manufacturers to use renewable energy in some processes, allowing them to sell into the French market. South Korea this year adopted rules inspired by the French system, and other European countries have expressed interest, officials from the region say.

China’s dominance of the solar supply chain also makes it harder on the handful of companies that are trying to rebuild solar-panel capacity in the West. China is home to most of the companies that slice polysilicon into wafers, package the wafers into cells and assemble the cells into panels. U.S. tariffs on Chinese solar panels and cells have pushed Chinese companies to set up factories for these parts in other countries.

JinkoSolar, a Chinese firm, built a panel assembly plant in Florida to supply NextEra Energy, one of the largest U.S. renewable-energy companies. But the wafer and polysilicon are from China, analysts say.

Italian energy company Enel SpA is planning to expand its solar-panel factory in Sicily, one of the few left in Europe, but the factory will still rely on silicon wafers coming from China.

“We would be happy if the other part of the value chain would be established in Europe,” said Antonello Irace, director of the factory in Sicily. “Think about sustainability, think about labor conditions, think about logistics costs and proximity.”

Beijing has further hobbled Western efforts by placing tariffs on U.S. polysilicon as part of a long-running trade dispute over solar panels. That blocked U.S. producers from selling raw material to Chinese wafering factories—which have more than 95% of global capacity—leaving them with almost no buyers for their product.

The tariffs led REC Silicon AS A in 2019 to idle a plant in Moses Lake, Wash., that runs on carbon-free hydropower. The company hoped negotiations between the Trump administration and Beijing would result in the tariffs being dropped. Instead, Beijing last year extended the tariffs for five years.

“We have a lot of polysilicon capacity,” said David Feldman, a researcher at the U.S. government’s National Renewable Energy Laboratory, “and it would be good for them to have customers.”

  • Global Warming

Fossil fuels are essential, despite renewable energy zealotry

AI Summary. Carbon-based fuels—oil, coal, and natural gas—supplied 81% of U.S. energy demand and 71% of electricity demand. Coal generation rose 37% in the Midcontinent grid region and 42% in the Southwest Power Pool, which the author argues shows coal absorbs price shocks and supports grid reliability as intermittent renewables expand.

Mark Perry Detroit News
Date Posted:
August 16, 2021
Is Database:
Database

Carbon-based fuels provided 81% of American total energy demand in 2020, and 71% of electrical demand.

Do fossil fuels remain essential to U.S. energy supply and grid reliability?

Core argument: Carbon-based fuels — oil, coal, and natural gas — supplied 81% of U.S. energy demand and 71% of electrical demand in 2020.

In 2020, carbon-based fuels, including oil, coal, and natural gas, supplied 81% of the U.S. energy demand and 71% of electrical demand, underscoring their critical role in the economy. Despite rising natural gas prices, coal generation surged, with a 37% increase in the Midcontinent Independent System Operator (MISO) and a 42% rise in the Southwest Power Pool (SPP) in June. This shift highlights coal's role as a price shock absorber and its importance in maintaining grid reliability amid increasing reliance on intermittent renewables. The Biden administration's push for renewable energy, while reducing fossil fuel reliance, risks undermining energy security and economic stability. As rolling blackouts and grid challenges persist, maintaining a balance between renewable additions and existing fossil fuel capacity is crucial to avoid potential energy crises and ensure a reliable power supply for the growing economy.

Takeaways by Macro Roundup® AI

  1. Carbon-based fuels — oil, coal, and natural gas — supplied 81% of U.S. energy demand and 71% of electrical demand in 2020.
  2. Coal generation rose 37% in the Midcontinent Independent System Operator and 42% in the Southwest Power Pool in June amid rising natural gas prices, which the author casts as coal acting as a price shock absorber.
  3. The author argues the Biden administration's renewable energy push risks undermining energy security and economic stability, and that balancing renewable additions with existing fossil fuel capacity is needed to maintain grid reliability.

Mark Perry, “… Oil, coal, and natural gas provide the large majority of the nation’s energy, supplying 81 percent of U.S. energy demand in 2020….Rising natural gas prices have shifted energy market share back to coal. Coal generation on the PJM grid, the nation’s largest which extends from Pennsylvania to parts of Illinois, hit a three-year high. Coal generation in the Midcontinent Independent System Operator (MISO) rose 37 percent in June and 42 percent in the Southwest Power Pool (SPP)….”

Fossil fuels are essential, despite renewable energy zealotry

Anyone who thinks that the most important environmental task of the next few years is to reduce the use of fossil fuels must take no comfort in recent energy trends.

The Biden Administration – despite its opposition to domestic drilling – is pressuring OPEC to pump more oil and provide price relief at the gas pump. Global natural gas demand and prices are on the rise and coal prices have recently spiked to record levels.

For energy sources that are supposed to be in their decline, fossil fuels remain absolutely essential to our nation’s economy and security. Oil, coal, and natural gas provide the large majority of the nation’s energy, supplying 81 percent of U.S. energy demand in 2020.

No energy source has been more maligned or written off than coal but coal has increasingly provided an essential insurance policy for a sometimes overwhelmed energy grid, not something that should be cast aside.

Coal is currently helping shield the Midwest and other regions from electricity shortages. According to Argus, in June, coal generation on the PJM grid, the nation’s largest which extends from Pennsylvania to parts of Illinois, hit a three-year high. Coal generation in the Midcontinent Independent System Operator (MISO) rose 37 percent in June and 42 percent in the Southwest Power Pool (SPP).

Rising natural gas prices have shifted energy market share back to coal, with the coal fleet providing an important price shock absorber for the nation’s utilities and their consumers. If more coal plants are pushed into early retirement, that energy balance and fuel flexibility will go with them.

Balance on the energy grid matters as does fuel security. As this past year has demonstrated, with rolling blackouts in California, the near-collapse of the Texas power grid in February, and the threat of capacity shortfalls from the Pacific Northwest all the way to New York, the reliability of the nation’s electricity supply is getting more problematic by the month. While no one fuel source is a cure-all to energy reliability challenges, the months of fuel kept on-site at coal plants is a welcome hedge to the just-in-time fuel delivery at natural gas plants or from wind and solar generation.

Last winter, when bitter cold locked up natural gas infrastructure and wind turbines across the Midwest, it was our coal capacity that came to the rescue – much of it in coal-mining states. It is troubling that the Biden administration fails to grasp the importance of coal and would like to see it disappear in the next few years. If you think there’s a well-designed plan to replace coal and the reliability it provides, think again.

The U.S. Energy Information Administration reports that the vast majority of new power capacity added to the grid this year – nearly 40 gigawatts – will be windmills and solar. Increasing reliance on intermittent renewable power will exacerbate reliability concerns, especially if these additions come in place of the dispatchable power provided by traditional, on-demand sources of generation.

As reliability challenges become more severe across the country, it’s increasingly clear that renewable energy generation additions should come on top of existing coal and natural gas capacity, not in place of it. Pushing more coal capacity and its fuel security off the grid and replacing it with sources of power that are useless at night or when there is no wind is a recipe for a potential catastrophe.

What is critical for our energy future is a reliable and affordable supply of power that doesn’t take a backseat to renewable energy zealotry.

Frequently ignored or overlooked is the fact that fossil fuels remain the nation’s energy lifeblood and will serve as the dominant energy sources to power our vehicles, heat and light our homes, and fuel the growing economy for many decades into the future. Mandating the closure of reliable operating power plants or making it more expensive and difficult to produce the fuels we need in the future is denying reality and putting the American economy at great risk.

Mark Perry, “Fossil fuels are essential, despite renewable energy zealotry.” July 21, 2021, Detroit News, https://www.aei.org/op-eds/fossil-fuels-are-essential-despite-renewable-energy-zealotry/

EIA Staff, “Electricity Explained: Electricity In The United States,” Energy Information Agency, Updated March 18, 2021, https://www.eia.gov/energyexplained/electricity/electricity-in-the-us.php

To your point natural gas share of generation did gain y/y btw 2019-2020 from38% to 40%clearly it’s displacing the other carbon based electrical sources.

Last year (they note the 2020 numbers are preliminary) so same sources generated61%of the total kilowatthours. I suspect that trend will accelerate given trends in renewables.

Steve note: So according to theAEIcarbon based fuels (so coal, natural gas and petroleum) generated 2691 billion kilowatthours of electricity in 2000,71%of total US electrical generation that that year.

Note this includes transportation. The number is 71% for electrical generation from the EIA

  • Productivity
    • Innovation/Research
  • Energy
    • US Electrical Grid
  • Science
    • Global Warming

U.S. energy intensity has dropped by half since 1983, varying greatly by state

AI Summary. U.S. energy intensity — energy consumed per unit of economic output — has fallen by half since 1983, reaching 5.05 thousand Btu per chained 2012 dollar. The decline varies widely by state: energy-intensive industrial and fossil-fuel-producing states such as Louisiana, Wyoming, and West Virginia remain far more energy-intensive than New York and the District of Columbia.

Mickey Francis Energy Information Administration
Date Posted:
August 16, 2021
Is Database:
Database

U.S. energy intensity has dropped by half since 1983, reaching a low of 5.05 thousand Btu per chained 2012 dollar in 2020, down 4% from 2019. Energy intensity varies significantly by state, with LA, WY, WV exhibiting higher energy intensity.

How much has U.S. energy use per dollar of output fallen?

Core argument: U.S. energy intensity has halved since 1983, reaching 5.05 thousand Btu per chained 2012 dollar of GDP in 2020, down 4% from 2019, a decline reflecting increased energy efficiency.

U.S. energy intensity, a measure of energy consumption per unit of GDP, has halved since 1983, reaching a low of 5.05 thousand Btu per chained 2012 dollar in 2020, down 4% from 2019. This decline reflects increased energy efficiency but varies significantly by state. States like Louisiana, Wyoming, and West Virginia, with energy-intensive industrial sectors and high fossil fuel production, exhibit higher energy intensity. Conversely, states with urban centers and smaller industrial sectors, such as New York and the District of Columbia, have lower energy intensities. From 1997 to 2019, U.S. average energy intensity decreased by 36%, with Oregon and Washington leading in reductions at 51% and 52%, respectively. However, West Virginia and Iowa saw minimal decreases of 4% and 6%, due to their reliance on energy-intensive industries like coal and agriculture. This variation underscores the diverse economic structures across states and their impact on energy efficiency.

Takeaways by Macro Roundup® AI

  1. U.S. energy intensity has halved since 1983, reaching 5.05 thousand Btu per chained 2012 dollar of GDP in 2020, down 4% from 2019, a decline reflecting increased energy efficiency.
  2. From 1997 to 2019, U.S. average energy intensity fell 36%, with Washington and Oregon leading at 52% and 51%, while West Virginia and Iowa declined just 4% and 6%, given their reliance on coal and agriculture.
  3. Louisiana, Wyoming, and West Virginia show higher energy intensity, tied to energy-intensive industrial sectors and fossil fuel production, while New York and the District of Columbia, with urban centers and smaller industrial sectors, show lower intensity.

Data from EIA shows American energy intensity continues to fall, but varies significantly by state, "...Energy intensity—calculated as total energy consumption divided by real gross domestic product (GDP)—is a common energy indicator and efficiency measure. In 2020, U.S. energy intensity reached a low of 5.05 thousand British thermal units (Btu) per chained 2012 dollar, down 4% from the previous year and less than half as energy intensive as the United States was in 1983. Energy intensity varies greatly by state, and some states operate with much greater energy intensity than the U.S. average....Louisiana, typically the state with the highest energy intensity, had the fourth-highest level of energy consumption of any state in 2019 and the 24th highest real GDP. States with high energy intensity, such as Louisiana, Wyoming, North Dakota, Alaska, and West Virginia, all have energy-intensive industrial sectors and are all top fossil fuel energy producers....From 1997 to 2019, the average energy intensity across the United States decreased by 36%. West Virginia and Iowa are notable exceptions to this trend. Since 1997, West Virginia’s energy intensity has decreased 4%, the smallest change in energy intensity in any state. Iowa’s energy intensity has decreased 6%, the second-smallest change...."

Mickey Francis, "U.S. energy intensity has dropped by half since 1983, varying greatly by state," Energy Information Agency, August 3, 2021, https://www.eia.gov/todayinenergy/detail.php

U.S. energy intensity has dropped by half since 1983, varying greatly by state

U.S. energy intensity has dropped by half since 1983, varying greatly by state: Extended Excerpt Image 1


Energy intensity—calculated as total energy consumption divided by real gross domestic product (GDP)—is a common energy indicator and efficiency measure. In 2020, U.S. energy intensity reached a low of 5.05 thousand British thermal units (Btu) per chained 2012 dollar, down 4% from the previous year and less than half as energy intensive as the United States was in 1983. Energy intensity varies greatly by state, and some states operate with much greater energy intensity than the U.S. average.

Louisiana, typically the state with the highest energy intensity, had the fourth-highest level of energy consumption of any state in 2019 and the 24th highest real GDP. States with high energy intensity, such as Louisiana, Wyoming, North Dakota, Alaska, and West Virginia, all have energy-intensive industrial sectors and are all top fossil fuel energy producers.

States with concentrated urban areas and relatively small industrial sectors tend to have lower energy intensities. The District of Columbia has a lower energy intensity than any state. Among states, New York has had the lowest energy intensity since 1997, the earliest year in our state-level data series.

From 1997 to 2019, the average energy intensity across the United States decreased by 36%. West Virginia and Iowa are notable exceptions to this trend. Since 1997, West Virginia’s energy intensity has decreased 4%, the smallest change in energy intensity in any state. Iowa’s energy intensity has decreased 6%, the second-smallest change.

Both West Virginia and Iowa rely on energy-intensive industrial activities for significant portions of their economies: coal, crude oil, and natural gas extraction in West Virginia and agriculture, food, and biofuel production in Iowa. In 2019, West Virginia was the 5th-most energy-intensive state and had the 35th-largest energy consumption and 10th-lowest GDP. Iowa, whose energy consumption and GDP are both about twice as large as West Virginia’s, was the 8th-most energy-intensive state.

Oregon is the only state that was more energy intensive than the U.S. average in 1997 but is now lower than the U.S. average. From 1997 to 2019, Oregon’s energy intensity decreased 51%. Only Washington’s energy intensity decreased at a faster rate (52%). Over the past two decades, Oregon and Washington transitioned their economies from energy-intensive activities, such as forestry and agriculture, to less energy-intensive activities, such as electronics and information technology.

  • Productivity
    • Innovation/Research
    • Investment

Tuesday, August 17, 2021

Demographics, Wealth, and Global Imbalances in the Twenty-First Century

AI Summary. The authors project that population aging will continue pushing down real interest rates through 2100, with a central scenario of a 123 basis point decline and a 10% rise in wealth-to-GDP ratios. They also project large global imbalances, with India's net foreign asset position reaching 100% of GDP as the US position falls.

Adrien Auclert National Bureau of Economic Research
Date Posted:
August 17, 2021
Is Database:
Database

No “Great Demographic Reversal”: population aging will likely continue to push down r through 2100.

Will population aging keep pushing real interest rates lower?

Core argument: The authors' central scenario projects population aging will push the real interest rate down by 123 basis points and raise wealth-to-GDP ratios by 10% through 2100, contradicting the "great demographic reversal" hypothesis.

The aging population is projected to continue exerting downward pressure on the real interest rate (r) through 2100, refuting the "great demographic reversal" hypothesis. As the global population over 50 years of age rises from 25% to 40% by century's end, the aggregate savings rate will decline, leading to lower r and increased capital intensity. Our central scenario predicts a 123 basis point drop in r, alongside a 10% rise in wealth-to-GDP ratios. This demographic shift will also drive significant global imbalances, with India's net foreign asset position expected to reach 100% of GDP by 2100, while the US's position declines. The compositional effect of aging, which impacts wealth-to-GDP ratios by altering age distributions, is a key factor in these trends, highlighting the ongoing influence of demographics on macroeconomic outcomes.

Takeaways by Macro Roundup® AI

  1. The authors' central scenario projects population aging will push the real interest rate down by 123 basis points and raise wealth-to-GDP ratios by 10% through 2100, contradicting the "great demographic reversal" hypothesis.
  2. As the share of the global population over 50 rises from 25% to 40% by 2100, the authors project the aggregate savings rate will decline, lowering the real interest rate and increasing capital intensity.
  3. The authors expect demographic shifts to drive global imbalances, with India's net foreign asset position reaching 100% of GDP by 2100 while the U.S. position declines.

Adrien Auclert, Hannes Malmberg, Frederic Martenet and Matthew Rognlie, "Demographics, Wealth, and Global Imbalances in the Twenty-First Century," National Bureau Of Economic Research, August 2021, https://www.nber.org/papers/w29161

Note Appendix F squares findings with existing results, “…we show that our results are useful to understand existing findings in the literature. First, across papers that conduct a similar exercise, we trace results back to their inputs, and show why different assumptions about the compositional effect are a critical driver of the differences in general equilibrium outcomes. Second, within papers that consider the role of parameter changes, we show that our results are useful in explaining the functional form relationship between these parameters and general equilibrium outcomes. In the interest of space, we focus on the effect of demographic change on the total return r (sometimes referred to as the natural interest rate, or r∗, in the literature)…”

Demographics, Wealth, and Global Imbalances in the Twenty-First Century: Extended Excerpt Image 1


Demographics, Wealth, and Global Imbalances in the Twenty-First Century: Extended Excerpt Image 2


Demographic change and savings rates

"...One key observation in this literature is that the savings rate is hump-shaped in age, so that as the population continues to age, the aggregate savings rate eventually declines. Observers have made various macroeconomic predictions based on this effect: that aging will raise interest rates...decrease standards of living by impairing capital accumulation....or exert inflationary pressure as the number of consumers increases relative to the number of producers (Goodhart and Pradhan 2020). These predictions are not borne out in our analysis. Instead, we find that aging unambiguously lowers the real interest rate, thereby increasing capital intensity and output. A lower real interest rate also implies less inflationary pressure in any standard model in which this pressure is captured by the natural interest rate..... Figure 9 shows the resulting projected savings rates until 2100. These are indeed negative in all countries. In panel A of figure 10, which represents steady-state equilibrium between savings and investment, we depict this effect as a leftward shift in the private savings curve. At first glance, this might seem to imply an increase in r, as represented by the hollow circle. But since demographic change lowers the population growth rate and therefore g, the other curve—representing net investment and public borrowing—also shifts left, and the overall effect is a decline in r.To understand this result, it is useful to compare to panel B, which depicts steady state equilibrium between asset demand and supply. Here, only the asset demand curve shifts—to the right—and the unambiguous implication is a decline in r. But the curves in panel A are identical to panel B, just both multiplied by g. Hence, although both curves in panel A shift left, the net investment curve shifts left by more, producing the same decline in r as in panel B. We conclude that the “flow” view of equilibrium in panel A is in principle just as valid as the “stock” view of equilibrium in panel B, but only if we remember the effect of g on net investment. Ignoring this effect in the context of demographic change, which can significantly push down long-run g, may give the wrong sign for the change in r..."
Demographics, Wealth, and Global Imbalances in the Twenty-First Century: Extended Excerpt Image 3

Demographics, Wealth, and Global Imbalances in the Twenty-First Century: Extended Excerpt Image 4


The rate of return and wealth-to-GDP ratios

".. .Table 1 presents our results. The left-hand panel shows the changes in the rate of return, calculated using equation (13), while the right-hand panel shows the average change in log wealth-to-GDP in percent, calculated using equation (14). We find that the equilibrium return r unambiguously falls in response to demographic change, refuting the “great demographic reversal” hypothesis...In our central scenario, r falls 123 basis points by the end of the twenty-first century; the fall is larger when σ or η are small, since this limits the responsiveness of asset supply and demand to falling returns. For our central scenario, average wealth-to-GDP increases by 10%, or approximately 47 percentage points in levels as a share of GDP..."

Demographics, Wealth, and Global Imbalances in the Twenty-First Century: Extended Excerpt Image 5


Global imbalances

"...Next, we turn to the evolution of net foreign asset positions. Figure 6 shows the changes between 2016 and 2100 predicted by the formula in proposition 3. The bars display the main results, which feature a large divergence in NFA positions, with India and China experiencing increases of 44 to 125 percentage points and Germany experiencing a decrease of 55 percentage points.... Panel A of figure 7 implements this calculation. The solid lines show global imbalances until today for the five large economies discussed in the introduction, and the dashed lines show the projections from equation (25). In the next few decades, we expect to see a widening of existing global imbalances: China’s net foreign assets will rise substantially, while those of the US will decline. Although these trends flatten mid-century, the second half of the 21st century features a conspicuous rise in India’s net foreign assets, offset partly by a decline in Germany and Japan, whose demographic transitions at that point are nearly complete...."

Demographics, Wealth, and Global Imbalances in the Twenty-First Century: Extended Excerpt Image 6


Unpacking the compositional effect: the case of the United States

"...The main mechanisms are summarized in figure 4. The grey bars show the evolution of the population distribution, starting young in 1950 and growing progressively older over time. In the figure, this population evolution is superimposed with the 2016 profiles of assets and labor income, with panel A illustrating how demographic change pushes up assets by moving individuals into high asset ages, and panel B illustrating how demographic change first pushes up aggregate labor income as the baby boomers reach middle age—the so-called “demographic dividend” (Bloom et al., 2003)—and later pushes down aggregate labor income as more individuals reach old age...Figure 5 displays the evolution of ∆ comp,a t and ∆ comp,h t (multiplied by W0/Y0 to obtain level effects on wealth-to-GDP).24 Panel A shows that ∆ comp,a t monotonically pushes up the wealth-to-GDP ratio throughout the sample period. The trend flattens towards the end of the 21st century as aging becomes concentrated in very old ages where asset accumulation ceases. However, the trend never reverses, due to the well-known fact that asset decumulation in old age is very limited....For other countries, the logic behind ∆ comp is broadly similar to that for the United States..."
Demographics, Wealth, and Global Imbalances in the Twenty-First Century: Extended Excerpt Image 7

The compositional effect of demographics

“…The results from this calculation are displayed in figure 2. Between 1950 to 2016, the compositional effect is positive in all countries, with an average increase of 80pp of GDP, and an increase of 105pp in the United States. These effects are quantitatively large. As a point of comparison, the actual changes in W/Y that occurred over this period were 220pp for the average country with available data in the WID, and 118pp for the US. Looking ahead from 2016 to 2100, the effects remain positive, are even larger on average, and are heterogeneous across countries, ranging from 48pp in Hungary to 237pp in China and 327pp in India, with a 147pp increase in the United States. In the high fertility scenario, the effect is reduced by a younger population: it is brought down to 75pp in China and to 142pp in the United States; in contrast, the low fertility scenario sees even sharper aging, and the effect swells to 245pp in the United States and 447pp in China. Figure 3 provides more detail on the heterogeneity across countries, with the solid bars displaying the predicted compositional change in W/Y to 2100 for the main population scenario. In principle, this cross-country heterogeneity could reflect either differences in demographic evolution or differences in the age profiles of assets and labor income. While both matter, the former is the main factor: countries with large effects are those whose demographic transitions are later and faster. The transparent bars in figure 3 illustrate this by showing similar cross-country heterogeneity in compositional effects if we counterfactually assume that all countries have the same asset and income profile as the United States...."

Demographics, Wealth, and Global Imbalances in the Twenty-First Century: Extended Excerpt Image 8

they note the impact of government debt can change this underlying dynamic, “…Although our baseline exercise holds government debt-to-GDP policy fixed, we show how rising government debt can mitigate or even undo the effect of demographic change on real interest rates, while increasing the effect on wealth-to-GDP…Since we have no direct way to predict the effect of demographics on long-run government debt targets, propositions 2 and 3 both assume a benchmark where each country keeps long-run debt-to-GDP constant. Appendix B.4 discusses alternative settings where debt-to-GDP changes in response to demographics. Two special cases stand out: when each country increases its debt-to-GDP target by the amount of its compositional effect, and when each country increases debt-to-GDP by the average world compositional effect. In the first case, there is no change in interest rates or net foreign assets, and each country’s wealth increases by exactly its compositional effect. In the second case, the same conclusions hold for interest rates and wealth, but net foreign assets in each country increase by the difference between its compositional effect and the global average, leaving the global imbalances predicted by proposition 3 intact….”

new Rognlie argues that Goodhart and Pradhan are wrong, there won't be a "great demographic reversal." He projects out the compositional effect of aging on the wealth-to-GDP ratio of 25 countries for the remainder of this century, bottom line"...According to our model, this will lead to capital deepening everywhere, falling real interest rates, and rising net foreign asset positions in India and China financed by declining asset positions in the United States. Our approach, based on stocks rather than flows, shows why there will be no great demographic reversal...."
"....we refute the great demographic reversal and show that, instead,demographics will continue to push strongly in the same direction, leading to falling rates of return and rising wealth-to-GDP ratios. We find that the key force is the compositional effect of an aging population: the direct impact of the changing age distribution on wealth-to GDP, holding the age profiles of assets and labor income fixed.In a baseline overlapping generations (OLG) model, this is a sufficient statistic for the actual change in wealth-to GDP for a small open economy. Further, for a world economy, the compositional effect— when aggregated across countries, and combined with elasticities of asset supply and demand that we obtain with other sufficient statistic formulas—fully pins down the general equilibrium effect on wealth-to-GDP, asset returns, and global imbalance..."

"...We measure the compositional effect by combining population forecasts with house-hold survey data from 25 countries over the period 2016-2100. We find that it is positive and large everywhere, but also heterogeneous, ranging from an increase in wealth-to GDP of 48pp in Hungary to 327pp in India. Since the average effect is positive and large, our model shows that there will be no great demographic reversal:through the twenty first century, population aging will continue to push down global rates of return, with our central estimate being -123bp, and push up global wealth-to-GDP, with our central estimate being a 10% increase, or 47pp in levels.Since the effect is heterogeneous across countries, our model predicts that demographics will also generate large global imbalances. For instance, we find that India’s net foreign asset position will steadily grow until it reaches 100% of GDP in 2100, while the United States’s net foreign asset position will decline to absorb this demand for assets...."

".. The average share of the population above 50 years of age has increased from 15% to 25% since the 1950s, and it is expected to rise further to 40% by the end of the twenty-first century(Figure 1, Panel A). There is a widespread view that this aging process has been an important driver of three key macroeconomic trends to date. According to this view, an aging population saves more, helping to explain why wealth-to-GDP ratios have risen and average rates of return have fallen (Figure 1, Panels B and C).1 Insofar as this mechanism is heterogeneous across countries, it can further explain the rise of global imbalances..."

Ben Comment:These authors think that demographic shifts are likely to increase global savings and lead to even lower interest rates globally going forward. This paper assumes work and savings behavior for a given age will stay the same through time (a 55 year old today will act the same way as a 55 year old in 2100). This paper differs from others in the literature in that it assumes older people will continue to save while most other papers assume the aggregate savings rate will go down as people age out of their working years and age into their retirement (pg 39). The effect is best seen in Figure 10, attached. Importantly, these authors’ model predicts left shifts in both supply and demand for assets so it unambiguously lowers the interest rate. Other others have focused on the shift in the demand curve (aging populations save less) but not in the supply curve (aging populations have few people to work and produce assets).

  • Inflation
  • Comparisons
    • Cross-country
    • Historical
  • GDP
    • Growth
    • Savings Glut/Trade Deficit
  • Workforce
    • Demographics


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