Incompatible drag

China’s economic model is an intractable problem

There is an increasing recognition that China’s state-capital model, at scale, is incompatible with Western, market-based economies. Similarly, a broadening political and international consensus is developing that China’s development is a threat to the continuance of the post-War liberal order. What is perhaps less recognized is that China’s industrial policy – based on its national security goals rather than economics – is a drag on global welfare and productivity growth and is itself a geopolitical destabilizer.

While many economists, including the authors of the “China shock” papers detailing the persistent adverse effects of Chinese import growth,11 assume that China’s economic growth has been primarily driven by economic efficiency, a review of its state-capital model, mechanisms of protection and subsidy, and directed investment suggests instead that it has been primarily the result of malign, non-market-based industrial policy. I review the evidence supporting that contention, then demonstrate using industry-level US manufacturing data that China’s industrial policies likely have not only retarded US (and other advanced economies’) productivity growth, but been a drag on global welfare.

My position is not one of advocacy – though I wholeheartedly support barriers to Chinese strategic exports – but of prediction: the trend of bifurcation of the global economy along Western and Russo-Chinese lines now appears unstoppable. At its current size, the Chinese state-capital model is incompatible with open market-oriented economies. Electoral politics in Western democracies demonstrate its political infeasibility, while dangers presented by the asymmetry of its industrial capacity have been laid bare by Covid, the Ukraine war and China’s increasing belligerence with its neighbors. That its model also is undermining global welfare only supports the move toward bifurcation. Preparing for that reality will be necessary for any portfolio managers and business leaders.

I have made this piece freely available to stimulate public policy discourse; the economic and market implications of the unfolding bifurcation are discussed in my paid-only research.

China is not a market economy

Despite having many of the outward trimmings of one, China is not a market economy. While its economy is driven by ostensibly for-profit, joint-stock companies, 68% are to some degree owned by the state22 and all larger firms and joint ventures, private or public, are required by law to have Chinese Communist Party (CCP) cadres within them to align the firm with the interests of the state.33 Indeed, steering China’s industrial might to state purposes is so important to the CCP that experience running a state-owned enterprise (SOE) is a common path to political advancement within the Party.44

But state ownership and CCP alignment are only the first layer of the Chinese industrial policy. China makes use of an elaborate scheme of subsidies, tax incentives, land and research grants, equity swaps, and – most importantly – subsidized directed lending to promote the development of strategically important industries.55 CSIS conservatively estimates that, in total, China spends 1.7 percentage points of GDP per year on industrial policy, more than double the next highest of any other major economy and more than it (officially) spends on its military.66 While it is popularly thought that China’s economic miracle was founded on cheap labor, the reality is that its rapid, strategic industrialization (and technological and military convergence) was built on cheap capital.77 Financial repression of households within a closed capital system channels forced excess savings to China’s big four state-owned banks, whose directed lending at non-market rates is used to build strategic industries.88

The result is that in little more than a quarter century, China has gone from a poor, technologically lagging country with a large but outmoded military to the world’s largest manufacturer – by a wide margin99 – who dominates production in strategically important industries,1010 who is the leader in an expanding array of critical technologies,1111 and fields not only the world’s largest army, navy, and rocket force, but among the most modern and sophisticated.1212

Nor is China efficient or productive

Yet, contrary to another popular myth, China’s rise has little to do with efficiency or productivity. China’s ascent results mostly from beggar-thy-neighbor industrial policies. China’s total factor productivity (TFP) growth – growth in output not resulting from adding more labor or capital, i.e. efficiency and innovation – has been negative for nearly a decade (Figure 1); i.e. more than all of China’s growth since 2013 has come from increasing capital, even as efficiency subtracted from output.1313 As a middle-income country, China should offer higher returns on investment than an already rich country, yet the marginal product of capital in China had fallen below that of the United States (Figure 2). Put another way, China’s economy now is so inefficient that it requires an extraordinary $11 of investment to create $1 of incremental of output. Furthermore, these figures likely understate China’s inefficiency since they are based on reported Chinese GDP growth that probably is overstated.

Current hyperventilation over China’s massive overcapacity in autos is a case in point. In 2023, China’s installed capacity for automobile production was 48.7 million units, almost three times domestic sales, over half of global demand, and nearly double the capacity of the next largest automaking region, Europe.1414 In no market economy where capital is allocated based on prospective return would profit-driven businesses risk building that much excess capacity in an industry that averages 4-5% profit margins.1515

Overcapacity is both endemic to China and an intentional policy choice

Which of course begs the question of why the Chinese policymakers directing its industrial policy would create massive overcapacity, not just in autos, but in industry after industry.1616 When China was a poor country with a relatively small share of the global economy, its beggar-thy-neighbor industrial policies made economic sense, and to Chinese policymakers’ credit, these policies lifted more people out of poverty than any other government in history. But the same policies make little economic sense for the world’s largest manufacturer with arguably the most modern capital stock of any economy. Yet given the CCP’s remarkable success in rapidly transforming China from a poor, underdeveloped nation to an economic, military and geopolitical colossus, it would be a mistake to assume that the persistence of widespread overcapacity in China is a policy error rather than a policy choice.

It also would be a mistake to ignore CCP policymakers’ – particularly President Xi Jinping’s – clear statements of intent. For nearly 30 years, Chinese political, military and diplomatic doctrine has been to use economic development to raise China to a position where it could challenge and displace the US-dominated world order. President Xi has been unabashedly clear in his desire to create a new “multipolar” order that returns China to its historic role as the ”Middle Kingdom.”1717 He has been similarly blunt that he expects and is preparing for war with the West that he aims to win.1818 Mr. Xi’s top international and domestic policy priorities – the “Made in China 2025” and Belt and Road Initiative (BRI) – aim to make China as self-sufficient as possible while placing it at the center of a new international order based on dependencies to China that guarantee the domestically unavailable resources. “Economic” policy was realigned by President Xi to meet those priorities: growth no longer is the focus; national security, self-sufficiency and social stability are.1919 The centerpiece of the new economic policy is President Xi’s “Dual Circulation” concept: self-sufficiency at home and reorienting international trade and investment as vectors of statecraft.2020

Overcapacity is a feature, not a bug

Against this backdrop, one should view China’s systematic overcapacity in strategic industries as a feature, not a bug. While it incurs an obvious economic cost – that Chinese policymakers appear happy to bear – overcapacity simultaneously achieves three strategic objectives:

  1. It undermines China’s adversaries’ capacity for industrialized (i.e. sustained) warfare by “dumping” its excess production at predatory prices in adversaries’ markets, shuttering their (market-driven) producers. The war in Ukraine has belatedly but clearly illustrated both Western military powers’ diminished munitions inventories and, more importantly, limited ability to restock from domestic production. The rapid rise of China’s navy also accompanies an equally astonishing takeover of global shipbuilding, where China now holds a greater-than-50% market share.2121
  1. Over capacity also induces Chinese dependencies, particularly in the “non-aligned” world, by exporting affordable manufactured luxuries (e.g. cars) and technology (e.g. 5G telephone networks) to developing economies in exchange for secure sources of mineral resources, cementing China’s position as the Middle Kingdom of a new BRI-shaped world order.
  1. Third, and perhaps most important to my economic analysis below, it supercharges China’s scientific and technological progress in competition for leadership with the US. Autos are, again, an excellent example of the principle: China’s electric vehicle exports are not just cheaper and more numerous, but increasingly described as more advanced, both in features offered and technology. Unleashing 241 automakers across Chinese provinces with subsidized capital to compete both within China’s tariff-protected market and competitive-capital export markets2222 is economically inefficient – guaranteed to produce over capacity and large losses – but is an excellent means to promote technological progress and knowhow that propels Chinese manufacturers to the forefront of the production possibilities frontier.2323

While it is easy to see China’s doctrine of “Unrestricted Warfare” everywhere if one wants to, it is difficult to reconcile the combination of persistent, large-scale, economically wasteful industrial policy, its concentration in industries strategically important for national security, and China’s escalating belligerence, both rhetorical and actual, with any conclusion other than that its industrial policy is based in national security, not economics or market-determination.2424

Increasingly incompatible: Chinese industrial policy

Whether one accepts that Chinese industrial policy is grounded in national security rather than economics policy, in an economy as large as China’s, the persistent overcapacity that it results in is incompatible with sustainable free-trade policies in Western economies and may be wholly incompatible with market-based systems. The irreconcilability of China’s system is rooted in two increasingly rigid political realities and one underappreciated economic effect that is the primary focus of this article.

The implacable political realities are that free trade with China is politically unsustainable in Western democracies and represents a growing threat to geopolitical stability. Leaving aside the question of intent, China’s export blitzkrieg is having the practical effects outlined above: eviscerating one strategic – and high-paying – manufacturing industry after another, across advanced economies, leaving angry, displaced workers and decimated communities in its wake, and simultaneously undermining those economies’ ability to meet their own critical needs and security. While the underlying driver of the Politics of Rage – the growing populist backlash across advanced economies – is a sense of political disenfranchisement, one of its most powerful channels of transmission has been the economic dislocation caused by free-trade policies that many workers opposed, as well illustrated by the “China shock” authors.2525

Similarly, rising recognition of China’s strategic threat to security increasingly aligns not only Democrats and Republicans in Washington, but the US with its Pacific and Atlantic allies more strongly than at any time since the Cold War (and is even drawing in new allies like India). At the same time, the war in Ukraine and Covid laid bare that the West is woefully ill prepared to fight an attritional, industrial war or even meet its own critical needs in an emergency as it now lacks sufficient industrial capacity after decades of “outsourcing,” mostly to China, its greatest adversary.2626

One group, however, has fiercely resisted counter-industrial policies – subsidies, tariffs and controls on critical technology – economic liberals and many academic economists. Objections are grounded in a range of views: a mistaken view that China’s economic gains result from market-based efficiency rather than industrial policy;2727 erroneous belief that market constraints are binding on Chinese investment, production and pricing decisions;2828 Economic theory that trade retaliation is welfare destructive and inefficient;2929 and ideological purity that Western economies must be a standard bearer for free markets or slip towards statism themselves.3030

But the reality is that China’s industrial policies not only are politically and geopolitically destabilizing, but economically inefficient and a drag on global welfare. Just as monopolies result in economic losses by undercutting competitors that may be more productive and generate higher welfare, national-security driven industrial policy that is intended to eliminate strategic competitors to China reduces global welfare by eliminating potentially more productive and higher-value-added producers elsewhere. A closer look at manufacturing in advanced economies, particularly the US, suggests this is indeed occurring.

The mysterious disappearance of US manufacturing productivity growth

Labor productivity in US manufacturing peaked in 2008 and has been declining since (Figure 3). This disturbing trend is even more startling given that it came on the heels of the late 1990s-early 2000s US “productivity miracle.” The most notable change in trend has been in durable manufacturing and is mirrored by that in other advanced economies like Germany and Japan (not shown).3131

Competition is good…when it’s healthy

Figure 4 breaks US durable manufacturing productivity into three of its component parts3232 – labor input (grey, inverted), capital intensity (or the capital/labor ratio, pale blue) and total factor productivity (TFP, royal blue) – and compares them to import penetration of Chinese durable manufacturers (dark blue).3333 Contrary to the late 1990s when the “productivity miracle” spurred US manufacturing to increase employment, US producers initially reacted to the competitive challenge of surging Chinese imports by sharply curtailed labor input and increased capital per employee (capital intensity). The result was not only a rise in overall labor productivity, but an increase in TFP as US firms, squeezed by Chinese competition, found new ways to eke out additional output beyond their capital and labor inputs.

This early response to Chinese imports – which seemed to validate the view that healthy competition results in innovation – also was visible on an industry-by-industry basis (3-digit NAICS level) as shown in Figure 5 and 6, where labor input was negatively correlated with Chinese import penetration and capital intensity was positively correlated.3434 Yet it is worth noting that this period, the primary window of study for the “China shock” authors, was a period of “healthy” competition that witnessed brisk TFP gains in China as its early stage of development allowed for rapid efficiency gains (Figure 1). Yet, over the same period other researchers found that Eastern European countries’ TFP gains had an even more significant positive effect on advanced economies’ productivity than China.3535

China’s shift to capital-subsidized growth drives out competitors

But by the 2010s, US (and other advanced economies’) manufacturers changed tack as Chinese TFP gains were replaced by state-subsidized capital deepening. Unable to compete with land grants, effectively non-recourse subsidized loans for factories and machinery, and subsidies for exports, Western producers stopped trying to compete. During this period, as shown in Figures 7 and 8, the more exposed to Chinese competition US producers were, the more they retreated from capital investment, leading to flat or falling capital intensity, and the more they shed workers to contain costs. Martin Fleming of the Productivity Institute shows that during this period US manufacturers’ behaviour was consistent with a shift towards extraction of gross operating surplus (profit margin) from existing capital, i.e. squeezing out as much profit from its remaining life while winding down the business, rather than investing in future production capacity.3636

The net effect of US manufacturers’ response to China’s subsidized-capital model of export growth was a decline in US labor productivity over the course of the last decade. Figure 9 illustrates that the more exposed to Chinese import competition the industry, the worse was its labor productivity growth. More troubling still, the decline in productivity was not solely due to declining capital-to-labor ratios. As shown in Figure 10, increasing competition from Chinese imports was associated with a decline in TFP, too. Consistent with Martin Fleming’s analysis, the “China shock” authors recently showed at a firm-level that increasing competition from China led to declines in R&D spending and patent filings.3737 Other economists have found a similar firm-level response to competition from Chinese firms in France.3838

Irretrievable “learning by doing”

But the TFP fall in US manufacturing likely reflects more than just a decline in research and product development: it almost surely also reflects a drop in “learning by doing” (LBD). LBD is difficult to measure, but previous studies have shown that it is an important source of total TFP growth that – critically – tends to be firm or even factory specific, and tends to be actively cultivated by a combination of management and investment.3939 Hence, when the owners of a factor shift their focus from competitive expansion to surplus extraction, downshifting investment and shedding skilled labor in the process, LBD growth is undermined. Worse still, it is lost forever when the factory is shuttered.

The role of Chinese imports in suppressing LBD appears corroborated by US Census Bureau data on dispersion of TFP among manufacturing firms.4040 TFP dispersion in US manufacturing notably increased after China’s 2001 WTO accession (Figure 11). Increasing dispersion and the rising TFP that accompanied it in the first decade of the “China shock” would be consistent with LBD diffusion as firms differentially reacted to surging competition from China.4141 However, high levels of dispersion continued over the decade, even as TFP growth stalled and began to fall. Without new LBD, diffusion should have reduced dispersion. Its sustained elevation suggests instead a diffusion of negative TFP growth – i.e. differential firm-level withdrawal from competition and focus on surplus extraction – that results in a dispersion of skill loss and negative LBD productivity growth. Figure 12 breaks firm-level TFP dispersion down by 3-digit industry and compares it to import competition from China. Again, like falling TFP itself, the degree of TFP dispersion among firms within an industry is correlated with Chinese import penetration.4242

Talent goes elsewhere, worsening the problem

LBD declines in manufacturing likely were furthered both by human capital destruction and by diverting the highest human-capital workers to other activities. The “China shock” authors well demonstrated the permanent welfare loss suffered by the displacement of older, less-educated workers that had greater difficulty changing industries and consequently dropped out of the labor force.4343 Angus Deaton and others have documented the far greater social and human costs of their dislocation, in terms of addiction, crime and suicide.4444 But less researched is the effect on the best and brightest workers, and the effects of their employment choices on US productivity.

Both anecdote and intuition suggest that workers with the highest human capital – and most choice – shifted to industries facing less competition from (or perhaps even benefitting from) Chinese state-capitalism. The US industries that saw increasing productivity growth from the first decade of the millennium to the second were all industries outside manufacturing that were less exposed to the “China shock”: rental and leasing services (NAICS 532-533), software publishing (511), management services (55), computer design (5415), oil and gas extraction (211), mining (212), and arts and entertainment (71). By discouraging high-human capital workers from entering manufacturing, especially at a time when technology potentially is making LBD more human-capital intensive, the “China shock” likely further depressed manufacturing productivity.4545

Welfare losses are global, not local

It is important to note that the productivity losses that plagued the US and other advanced economies since 2008 and appear to be driven by non-market-based Chinese industrial policies were not offset by welfare gains elsewhere. As noted, China suffered negative TFP growth over most of this period and financed its non-economic capital deepening with a staggering domestic debt load that will weigh on its citizens’ consumption for a decade or more. Nor have other emerging markets, most of whose per capita incomes ceased converging with advanced economies about the same time, benefitted. Hence, China’s industrial policies appear to be leading to a global welfare loss.

Toward a bifurcated global economy

In Global entropy: Enter the dragons, I stipulated that we are moving towards a bifurcated global political economy with the Anglo-sphere on one side and a China-Russia axis on the other. The pillars of – and sources of power within – that bifurcated global economy will be technology and critical resources. The Anglo-sphere has both, while China and Russia are married by the former’s technological leadership and the latter’s natural resources.

China’s national-security-based industrial policy is hastening the bifurcation. Attitudes towards both China and its exports have shifted sharply in recent years. With each passing day the political infeasibility of free integration of China’s economy into Western market-oriented economies becomes clearer. An increasingly bipartisan consensus recognizes that China’s economy is simply too large for the West to continue to accommodate its industrial policies and intentional overcapacity. Similarly, the national security risk posed by China’s asymmetric manufacturing capacity is gaining recognition across party lines and Western capitals.

These dual political realities are pushing the West to slowly separate itself from China’s economy, while sanctions on Russia are simultaneously pushing it ever more firmly into China’s orbit and furthering the separation with the West. The US has increasingly turned to subsidies for domestic producers, tariffs on Chinese goods, and export controls on critical technologies. Europe has been slower but is moving in the same direction. Concerns that these policies will undermine the “rules-based” order are misplaced. As I noted in Enter the dragons, Global entropy is by now well entrenched: the post-War liberal order already is largely disintegrated.

To preserve its rules in the Western half of the global political economy requires counter-industrial policies and an economic split with the China-Russia axis. Free-trade with a large, non-market economy like China is increasingly turning Western voters against free trade policies even with friendly, market-based economies. Furthermore, as shown by my analysis of the effects of Chinese trade on Western productivity, open trade with China is both facilitating its technological advancement and simultaneously undermining both Western industrial capacity and the technological progress that accompanies it. It is dangerously naïve to assume that Chinese policies will fail because they do not deliver growth; that is not their aim.4646 The last quarter century has well proven their ability to propel China forward technologically, industrially, politically, and militarily, while concurrently retrograding Western prowess and power.

[1] See The China Trade Shock website for associated research papers and commentary. [2] “Reassessing the Role of State Ownership in China’s Economy,” Stanford Center on China’s Economy and Institutions, 15 January 2024. [3] “CCP branches out into private businesses,” Jerome Doyon, East Asia Forum, 11 August 2023; and “Political governance in China’s state-owned enterprises,” Xiankun Jin, Liping Xu, Yu Xin, & Ajay Adhikari, China Journal of Accounting Research, vol. 15, no. 2, June 2022. [4] “Big Business and Cadre Management in China,” Kjeld Erik Brødsgaard & Kasper Ingeman Beck, Copenhagen Journal of Asian Studies, vol. 39, no. 2, 2021. [5] “Red Ink: Estimating Chinese Industrial Policy Spending in Comparative Perspective,” Gerard DiPippo, Ilaria Mazzocco, Scott Kennedy, & Matthew P. Goodman, Center for Strategic & International Studies, 23 May 2022. [6] Ibid. [7] “Schumpeter in Practice: The Role of Credit for Industrial Policy in China,” Lisa Geißendörfer & Thomas Haas, working paper, University of Würzburg, October 2022. [8] “China’s problem is excess savings, not too much capacity,” Michael Pettis, Financial Times (Op-Ed), 30 April 2024; “Global Clout, Domestic Fragility,” David Dollar, Yiping Huang & Yang Yao, Finance & Development, International Monetary Fund, Summer 2021; “Assessing China’s Financial Reform: Changing Roles of the Repressive Financial Policies,” Yiping Huang & Tingting Ge, Cato Journal, Winter 2019; and “China’s Financial Repression: Symptoms, Consequences and Causes,” Guangdong Xu, The Copenhagen Journal of Asian Studies, vol. 36, no.1, July 2018. [9] “China is the world’s sole manufacturing superpower: A line sketch of the rise,” Richard Baldwin, VoxEU/CEPR, 17 Jan 2024. [10] “The Hamilton Index, 2023: China Is Running Away With Strategic Industries,” Robert D. Atkinson & Ian Tufts, Information Technology & Innovation Foundation, 13 December 2023. [11] Critical Technology Tracker, Australian Strategic Policy Institute, updated 22 September 2023. [12] Military and Security Developments Involving the People’s Republic of China, Annual Report to Congress, US Defense Department, 2023. [13] Negative TFP growth may seem at odds with my contention (below) that one motivation for Chinese overcapacity is to increase the pace of “learning by doing”, but it is not: overcapacity accelerates the pace of learning by doing but is still economically inefficient, i.e. Chinese industrial policy is prioritizing time over its citizens’ (and others’) welfare by allocating more capital and labor resources than would be economically (cost) efficient. [14] “The polarisation of China’s automobile production capacity,” Nan Zhang, Just Auto, 12 December 2023; “Global Vehicle Sales Top 92 Million Units in 2023; December Volume Up 11%,” Haig Stoddard, Wards Intelligence, 30 January 2024; and “China’s car exports hit record high in April, as domestic sales fall,” Qiaoyi Li & Brenda Goh, Reuters, 10 May 2024. [15] N.B.: current average margins are nearer 8%, but this reflects a temporary bump from Covid-related supply shortages. “Automotive Profitability: How OEM and Supplier Margins Are Faring,” Klaus Stricker & Pedro Correa, Bain & Company, 21 November 2023. [16] “China’s overcapacity so ‘deeply rooted’ at local levels that analysts say its ebbs and flows have underpinned economy for decades,” Ji Siqi, South China Morning Post, 21 May 2024; “China’s overcapacity ‘problem’ in five charts,” Research Briefing, Oxford Economics, 17 May 2024; and “Breaking down Janet Yellen’s comments on Chinese overcapacity,” Hung Tran, Atlantic Council, 9 April 2024. [17] “China’s Vision for World Order,” Johanna M. Costigan, China File, 7 December 2023; China’s Approach to Global Governance, Council on Foreign Relations; and The Third Revolution: Xi Jinping and the New Chinese State, Oxford University Press, 3 May 2018. [18] “Xi Jinping Says He Is Preparing China for War,” John Pomfret & Matt Pottinger, Foreign Affairs, 29 March 2023; “China’s Xi calls for combat readiness as PLA marks founding anniversary,” Greg Torode & Albee Zhang, Reuters, 1 August 2023; “Xi Jinping tells China’s PLA to intensify preparations for war,” Firstpost, 6 July 2023; and “Xi Jinping urges China’s military to be ready for war in uncertain and unstable times,” Liu Zhen, South China Morning Post, 9 November 2022. [19] “For Xi Jinping, the Economy Is No Longer the Priority,” Guoguang Wu, Journal of Democracy, October 2022; and “Xi Jinping Drops Economic Growth for ‘Values-Based Legitimacy’,” Chris Anstey, Bloomberg, 21 October 2023. [20] “Xiconomics: What China’s Dual Circulation Strategy Means for Global Business,” Patrick McAlary, Centre for Geopolitics, University of Cambridge, 13 September 2023; “Dual circulation in China: A progress report,” Hung Tran, Atlantic Council, 24 October 2022; “Will the Dual Circulation Strategy Enable China to Compete in a Post-Pandemic World?” China Power, Center for Strategic & International Studies, 15 December 2021; and “What is behind China’s Dual Circulation Strategy?” Alicia García-Herrero, Bruegel, 7 September 2021. [21] “The Threat of China’s Shipbuilding Empire,” Matthew P. Funaiole, Center for Strategic & International Studies, 10 May 2024; “China cements position as world’s top shipbuilder in 2023,” Katherine Si, Seatrade Maritime, 16 January 2024; and “China Is Still the King of Shipbuilding, Data Shows,” Aadil Brar, Newsweek, 3 January 2024. [22] “How you export matters: Export mode, learning and productivity in China,” Xue Bai, Kala Krishna & Hong Ma, Journal of International Economics, vol. 104, January 2017. [23] “The polarisation of China’s automobile production capacity,” Nan Zhang, Just Auto, 12 December 2023. [24] Unrestricted Warfare was a 1997 book by two then senior colonels in the People’s Liberation Army, Major General (ret.) Qiao Liang and Colonel (ret.) Wang Xiangsui, that advocated, as the title suggests, an unrestricted definition of warfare that extends beyond military conflict to all domains, specifically enumerating economics, politics, international law, and information. There are several translations of the book to English and an abridged version created by the US Foreign Broadcast Information Service is available free online. David Kilcullen discusses the risk of seeing “unrestricted warfare” everywhere in his book, The Dragons and the Snakes, Hurst, March 2020. [25] “Importing Political Polarization? The Electoral Consequences of Rising Trade Exposure,” David H. Autor, David Dorn, Gordon H. Hanson, & Kaveh Majlesi, American Economic Review, vol. 110, no. 10, October 2020. [26] “The EU Defence Industrial Strategy: solution to or distraction from Europe’s rearmament dilemma?” Jocelyn Mawdsley, UK in a Changing Europe, 9 April 2024; “The Attritional Art of War: Lessons from the Russian War on Ukraine,” Alex Vershinin, Royal United Services Institute, 18 March 2024; “Time to strengthen European defence industry,” Josep Borrell, EU High Representative for Foreign Affairs and Security Policy, European Commission, 11 March 2024; “Ready for War?Defence Committee Report, UK House of Commons, 4 February 2024; “The U.S. Defense Industrial Base Is Not Prepared for a Possible Conflict with China,” Seth G. Jones, Center for Strategic & International Studies, 2024; “The West can no longer make war,” Malcom Myeyune, The New Statesman, 1 August 2023; “The Guns of Europe: Defence-industrial Challenges in a Time of War,” Hannah Aries, Bastian Giegerich & Tim Lawrenson, International Institute for Strategic Studies, 19 June 2023; “Military briefing: Ukraine war exposes ‘hard reality’ of west’s weapons capacity,” John Paul Rathbone, Sylvia Pfeifer & Steff Chávez, Financial Times, 2 December 2022; and “The Insufficient Industrial Base,” Sgt. Maj. Stephen Minyard, NCO Journal, Army University Press, 4 October 2019. [27] E.g. the “China shock” authors’ assume Chinese export growth results from exogenous productivity gains and cite high rates of measured productivity growth in the early 2000s, which admittedly is the period of their study; see “The China Syndrome: Local Labor Market Effects of Import Competition in the United States,” David H. Autor, David Dorn & Gordon H. Hanson, American Economic Review, vol. 103, no. 6, October 2013. [28] “Does National Security Justify Tariffs?” Jon Murphy, Econlib, 7 May 2018. [29] International Economics: Theory and Policy, Paul R. Krugman & Maurice Obstfeld, Pearson, 12th edition, 12 June 2023. [30] “The (Updated) Case for Free Trade,” Scott Lincicome & Alfredo Carrillo Obregon, Cato Institute, Policy Analysis no. 925, 19 April 2022; and “The Fight for Free Trade,” Tori Smith & Riley Walters, The Heritage Foundation, 8 May 2020. [31] “Productivity Profile of Germany” and “Productivity Profile of Japan”, Organization for Economic Cooperation and Development, updated as of 27 May 2024. [32] The US Bureau of Labor Statistics (BLS) breaks down contributors to labor productivity further, including the effects of materials, services and intermediate inputs in its disaggregation, hence the three components that I list – using BLS data – are not complete, but are representative of the underlying trends. [33] The China import share is not the share of domestic expenditures by value, but is calculated as the ratio of the value of Chinese imports in each sector to the value of domestic production. [34] In my analyses I excluded a few outliers that skewed the results but were fundamentally consistent with them: Apparel and leather manufactures (SIC 315-316, combined in the Census trade data on China) were removed because import penetration from China was multiples of domestic production that had already largely shifted abroad due to earlier import competition. Oil & gas extraction (NAICS 211) and mining (NAICS 212) were removed for the opposite reason: Chinese import penetration was too low. In both cases, however, the direction of the effects was consistent with the analysis presented: the massive increase in Chinese imports of apparel were associated with the largest drop in productivity of any 3-digit industry, while oil & gas, which faced little Chinese competition had the highest productivity gains in the 2020s. [35] “The China Effect on Manufacturing Productivity in the United States and Other High-income Countries,” Daniel Lind, International Productivity Monitor, Centre for the Study of Living Standards, vol. 42, Spring 2022. [36] “Manufacturing Sector Producvity Collapse: A Tale of Two Technologies and One Giant Competitor,” Martin Fleming,The Productivity Institute, in process, 26 October 2023. [37] “Foreign Competition and Domestic Innovation: Evidence from U.S. Patents,” David Autur, David Dorn, Gordon H. Hanson, Gary Pisano, & Pian Shu, American Economic Review: Insights (forthcoming), January 2019. [38] “Opposing Firm-Level Responses to the China Shock: Horizontal Competition versus Vertical Relationships?” Philippe Aghion, Antonin Bergeaud, Mattieu Lequien, Marc Melitz, & Thomas Zuber, NBER Working Paper 29196, November 2022. [39] “Productivity Growth and Input Demand: The Effect of Learning by Doing in a Gold Mining Firm in a Developing Economy,” John Baffoe-Bonnie, International Economic Journal, vol. 30, no. 4, 8 August 2016; “Toward an Understanding of Learning by Doing: Evidence from an Automobile Assembly Plant,” Steven D. Levitt, John A. List & Chad Syverson, Journal of Political Economy, vol. 121, no. 4, August 2013; and “Productivity Adjustments and Learning-by-Doing as Human Capital,” Jim Bessen, Center for Economic Studies, US Census Bureau, Working Papers 97-17, 20 August 1997. [40] Hat tip to Joseph Politano at Apricitas Economics for alerting me to these data’s existence as I was writing this piece; see “America’s Manufacturing Productivity Problem,” Joseph Politano, Apricitas Economics, 14 May 2024. [41] “Learning by Doing, Productivity, and Growth: New Evidence on the Link between Micro and Macro Data,” Brad R. Humphreys, Scott Schuh & Corey J.M. Williams, West Virginia University, Working Paper 24-02, February 2024. [42] This relationship holds in both the 2002-’08 and 2008-’18 subsamples. [43] “The China Shock: Learning from Labor-Market Adjustment to Large Changes in Trade,” David H. Autor, David Dorn & Gordon H. Hanson, Annual Review of Economics, vol. 8, October 2016; and “The China Syndrome: Local Labor Market Effects of Import Competition in the United States,” David H. Autor, David Dorn & Gordon H. Hanson, American Economic Review, vol. 103, no. 6, October 2013. [44] Deaths of Despair and the Future of Capitalism, Anne Case & Angus Deaton, Princeton University Press, 17 March 2020; “Labor markets and incarceration: The China shock to American punishment,” John Clegg & Adaner Usmani, Criminology, vol. 61, no. 4, 25 October 2023; “When Work Disappears: Manufacturing Decline and the Falling Marriage Market Value of Young Men,” David Autor, David Dorn & Gordon Hanson, American Economic Review: Insights, September 2019; and “Free trade and opioid overdose death in the United States,” Adam Deana & Simeon Kimmel, SSM – Population Health, 8 August 2019; and “The Transformation of Manufacturing and the Decline in US Employment,” Kerwin Kofi Charles, Erik Hurst & Mariel Schwartz, NBER Macroeconomics Annual, vol. 33, 2018. [45] “Innovation and Productivity: Is Learning by Doing Over?” Ružica Bukša Tezzele, Economic and Business Review, vol. 24, no. 1, March 2022. [46] “China’s Quixotic Quest to Innovate,” George Magnus, Foreign Affairs, 29 May 2024.

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Economic and market forecasts:

Economic & market forecasts
  • Sustained higher US rates, vulnerability of backend rates and term premia to steepening in H2 2023: Are we there yet?

  • No recession, continued strength of US economy throughout 2023: Solved: Drivers of the dollar cycle; Clash of the Themes; Are we there yet?; Opportunity knocks: Are you listening?; Götterdämmerung.

  • No backtracking or “pivot” by the Fed in 2023: Solved: Drivers of the dollar cycle; Clash of the Themes; Are we there yet?; Opportunity knocks: Are you listening?; Götterdämmerung.

  • No banking crisis or reversal by the Fed following the failures of Silicon Valley Bank: Did QE cause bank failures? Opportunity knocks: Are you listening?

  • No new “Plaza Accord” resulting from US dollar strength and Fed rate hikes in 2022: Plaza 2.0 bid, not offered.

  • No default by Nigeria before or in the aftermath of the 2023 national elections: Debt reality versus perceptions.

  • The continued fall in US real rates through the 2000s and early 2010s. Themes & framework: Mercantilism (with Chinese characteristics) and the associated $Bloc/Chinese co-prosperity sphere undermined the marginal product of capital in the US while simultaneously increasing non-US demand for US Treasuries.

  • Emerging market outperformance in the 2000s. Themes & framework: Mercantilism (with Chinese characteristics) drove both the development of the $Bloc/Chinese co-prosperity sphere and the commodity supercycle, while Apex neoliberalism supported institutional reforms that lowered EM risk premia, all of which encouraged foreign direct investment that raised productivity and led to rapid economic growth.

  • The end of emerging markets’ “original sin” and growth of EM local bond markets, a development supported by a G7 initiative that I led at the US Treasury. Themes & framework: The $Bloc/Chinese co-prosperity sphere provided a new stability in many EM exchange rates while institutional reforms undertaken by many as part of Apex neoliberalism lowered EM risk premia.

  • The Global Financial Crisis (albeit see admission of errors below). Themes & framework: Mercantilism (with Chinese characteristics) and $Bloc/Chinese co-prosperity sphere simultaneously increased incentives for debt finance in the US (as demand for “safe” USD bonds rose globally) while undermining US means of repayment as the US marginal product of capital in traded goods fell. Combined with poorly designed bank regulation that allowed banks to leverage themselves well beyond regulators’ intent (Apex neoliberalism), “complexity cascaded”.

  • The failure of QE to generate post-GFC inflation. Themes & framework: Believing is being: inflation expectations were stable to falling amid deleveraging and associated lethargic income growth, lowering real interest rates as nominal rates were pinned at the zero lower bound, and implying sustained weak money demand. Stuffing banks with more reserves changed none of those variables. As Keynes described seven decades earlier – in the absence of negative nominal rates – monetary policy at the zero lower bound is equivalent to “pushing on a string”.

  • The lack of effect of balance sheet runoff on interest rates. Themes & framework: Believing is being and portfolio theory rejected the then dominant “portfolio balance” theory of QE. QE was a credible commitment by central banks to keep rates on hold, suppressing expectations for future rates and thus the yield curve. This is why the “Taper Tantrum” had its largest effects on 3-5 year forward rates as expectations for rates hiked rose, while long-dated forward rates fell. Measures of long-dated term premia continued to fall as the Fed reduced its balance sheet.

  • Peak Chinese growth in 2011. Themes & framework: Mercantilism (with Chinese characteristics) led to unsustainable contributions of investment to GDP and a collapse in China’s marginal product of capital amid historically large debt to GDP, a phenomenon that peaked with China’s 50% surge in domestic credit in response to the GFC. Domestic funding of its debt trapped China within its own financial repression scheme, frustrating its efforts to unwind its $Bloc/Chinese co-prosperity sphere and internationalization the renminbi as a closed capital account is required to avoid savings flight and a collapse of the debt bubble. This self-funded debt bubble implies that losses from consequent overinvestment are “amortized” in the form of slower growth.

  • Emerging Market underperformance of the last decade (and likely future decade). Themes & framework: Institutional reform in EM peaked with US policy credibility before the GFC under Apex neoliberalism; China’s peak within Mercantilism (with Chinese characteristics) in 2011 and the associated end of the commodity supercycle ended the “pack” economic benefits of the $Bloc/Chinese co-prosperity sphere, while simultaneously the advent of Localization began to shift production back to advanced economies. Amid stagnating growth and backsliding reforms, EM FX and asset prices looked (and continue to look) overvalued and risk spreads remain too thin.

  • Falling USD reserve share in the 2000s and a rising share since peak China. Themes & framework: The massive reserve accumulation required to sustain undervalution of the $Bloc/Chinese co-prosperity sphere came to be seen as “sovereign wealth” that required diversification, rather than a liquidity store for crises, and led to a consequent fall in the USD share of reserves. Yet the greater financial openness and cross-border claims that accompanied the Apex neoliberalism necessarily implied a proportional increase in capital outflows in periods of risk aversion; i.e. historically large reserves were not as large as perceived in reality. As China and the $Bloc/Chinese co-prosperity sphere slowed after 2011, and Global entropy increased Uncertainty with attendant effects on risk aversion, emerging markets learned painfully in 2014 that reserves were neither excess nor sovereign wealth, but instead necessary liquidity, and that the USD’s safe haven properties were unparalleled.

  • Low and falling inflation throughout the 2010s. Themes & framework: Missingflation, the unexplained trend component of global inflation that had led to two decades of inflation overforecasting by economists, showed no signs of abating and seemed to be caused by a continued slide in inflation expectations (Believing is being) as central banks struggled with the zero lower bound. The end of the trend would require both for central banks to make more credible commitment to raise inflation in conjunction with a sustained positive inflation shock.

  • The (trend) bottoming of long-term US real rates, higher-than-expected peak in Fed funds rates and US equity outperformance in the last decade. Themes & framework: China’s peak in 2011 under Mercantilism (with Chinese characteristics) and the dissolution of the $Bloc/Chinese co-prosperity sphere ended the trend of falling US real rates they had created. But it wasn’t until Localization gathered sufficient steam – and the US private sector had deleveraged – that US openness and technological leadership sufficiently raised US returns to capital to support a rise in US real rates. The Trump administration’s political support (Politics of Rage) for Localization gave another nudge to US relative returns to capital, and Covid again accelerated these phenomena further (and likely more sustainably).

  • The capitulation of Saudi Arabia’s price leadership/management in 2014 in the face of surging US tight oil production leading to lower and more volatile crude oil prices. Themes & framework: The end of the commodity supercycle brought about by peak China under Mercantilism (with Chinese characteristics) paused relentless crude oil demand growth, allowing innovation and a business-friendly US regime to undermined Saudi Arabia’s price leadership with tight oil production. Cartel dynamics combined with Saudi Arabia’s long-run price maximization led to a collapse in Saudi-enforced OPEC discipline, and lower, more volatile crude oil prices.

  • Financial volatility’s shift to a lower median level with more frequent, shorter explosions during the last decade. Themes & framework: Rising Uncertainty in politics (Politics of Rage), geopolitics (Global entropy), technology (Localization), and policy (Missingflation) amid Complexity cascades shifted the relative shares of total risk away from quantifiable sources towards unquantifiable sources; the counter-intuitive implication of rising uncertainty is lower median volatility as active risk taking retreats in information lulls, with violent explosions of price activity when new information is revealed.

  • Persistence of post-Covid supply constraints and sustainable inflation supported by rearview-mirror central bank policies leading to a flip in the direction of Missingflation. Themes & framework: Covid simultaneously accelerated both the economic and political motivations for Localization, caused a permanent shift in the structure of global demand, and disrupted existing global supply chains. Short-run aggregate supply could not adjust to the jump in investment and shift in demand quickly enough, creating prolonged shortages and the need for prices to curtail demand. The associated cost-push inflation was all the spark needed to ignite Believing is being changes in inflation expectation driven by central banks’ backward-looking policies based on a lack of understanding of Missingflation.

  • The Fed’s post-Covid rate cycle would be more like 1994 than the post-2000 gradualist cycles (a call I made in early 2021). Themes & framework: The intent of the Fed’s FAIT policy always was to boost long-run inflation expectations by falling “behind the curve” on inflation. Yet their lack of understanding of the causes of Missingflation and insufficient faith in their own ability to generate Believing is being kept them focused on “fighting the last war” too long, allowing inflation to run too hot, too quickly. But contrary to market conventional wisdom, inflation is deeply politically unpopular in an aging society and no central banker wants to be remembered as failing to control inflation. Accordingly, the Fed (eventually) will react forcefully to contain the Believing is being genie they underestimated.

  • Consistent underperformance of European economy, assets and the euro since the Global Financial Crisis. Themes & framework: Relative to trend growth, Europe was more highly indebted than the US, yet European policymakers too long considered the GFC an “American problem”. Combined with Europe’s greater institutional rigidities and a reluctance to write down bad assets, it would take proportionately longer to achieve necessary deleveraging. China’s 2011 peak within Mercantilism (with Chinese characteristics) and the rise of Localization undermined all parts of Europe: the globalization-dependent South and China-dependent North, while inflexibility and low levels of technological innovation inhibit Europe’s ability to adjust to the new global economic order.

  • UK outperformance of consensus Brexit forecasts. Themes & framework: Consensus forecast for post-Brexit UK were based on three flawed assumptions (due to underappreciation of themes!). First, by ignoring emergent Localization, growth forecasts grounded in Apex neoliberalism wrongly assumed globalization would continue to be a major driver of economic growth. Second, the consensus failed to acknowledge the UK’s long-run structural competitiveness: world-leading universities providing a technological edge in Localization; and strong, enduring institutions offering safety and stability amid Global entropy and rising Uncertainty. Third, the consensus, ironically, ignored the largest driver of trade (by a wide margin) in their own models: “gravity”, or proximity to trading partners. Network effects are extraordinarily powerful in trade and difficult to overcome.

  • Importance and implications for markets of Scottish independence referendum in 2014. Themes & framework: As one of the earliest manifestations of the Politics of Rage and its demands for greater political representation, the Scottish referendum was an unanticipated shock to markets and one of the first signs of Global entropy and the Uncertainty to come.

Global entropy

Manifest and growing disorder

By ignoring the endogeneity of complex systems and Rodrick’s globalization trilemma – that democracy, national self-determination, and economic globalization cannot enduringly coexist – Apex neoliberalism sowed the seeds of its own demise, leading to today’s manifest and growing global disorder: the end of Post-World War II international rules, rising ethnonationalism, multipolarity, the Politics of Rage, and the unwinding of globalized supply chains. In short, Huntington’s Clash of Civilizations trumped Fukuyama’s End of History. Apex neoliberalism facilitated rising trade-to-income ratios, cross-border capital flows, intergovernmental cooperation, and intra-economy income inequality; while simultaneously lowering financial spreads, inter-economy income inequality, and inter-state warfare. Global entropy likely will reverse many of these effects.

Missingflation

Economists don’t understand inflation

What are economists missing about inflation? In the two decades before Covid, market analysts, academic economists and central banks consistently overforecast inflation; in the last two years they have persistently underforecast it. Enduring one-way errors are not “white noise”; they demonstrate bias and strongly suggest that economists’ current understanding of inflation is flawed. Demographics, globalization and technology help to explain some of the forecast miss, but significant omitted variable bias remains, most likely due to failure to explicitly incorporate Believing is being.

Believing is being

Self-fulfilling beliefs are real

Beliefs drive everything from asset bubbles, to debt dynamics, to crypto currencies’ values, to inflation and hyperinflations (probably Missingflation, too). Good economists understand this but often omit beliefs from models to simplify because of the difficulty in measuring beliefs. Unfortunately, too many bad economists copy those models without understanding the potential for omitted variable bias. The rapid social, technological, political, and geopolitical changes behind Global entropy and Uncertainty are swiftly shifting beliefs, driving a feedback loop of economic and political outcomes. Yet the infrequency of these deviations and difficulty in measuring them make statistical modeling nearly impossible. Only through economic theory and full-spectrum information collection can we infer when and how beliefs are adjusting and their likely effects.

Complexity cascades

Complex systems fail unpredictably

Human societies, nation states and (especially) economies are examples of complex systems. Complex systems always operate in “broken” mode and ironically are more structurally stable when they have lots of small failures. But when they are subjected to massive or cascading shocks, complex systems can fail unpredictably and totally. Covid and manifest Global entropy represent self-reinforcing mammoth shockwaves that imply systemic collapses – in all spheres, socio-political, geopolitical, economic, and financial – are more likely than the consensus admits.

Uncertainty

Not all risks can be quantified

All risks are not the same. Some are quantifiable, like the chance of being dealt an ace in a game of cards. Others are not but can be subjectively guessed, like the chance you leave a casino a winner. Then there is uncertainty, the most dangerous of all risks because it is by definition, non-quantifiable: what is the chance the casino gets hit by a meteor? Apex neoliberalism created a façade of quantifiable risks; Global entropy and Complexity cascades are illustrating that the world is far more uncertain. The quantitative models in finance, business, economics, and politics that gained dominance during Apex neoliberalism generally have performed poorly as Global entropy has become more pronounced, a trend that is likely to sustain as uncertainty rises further. Scenario analysis and “satisficing” are the only proven frameworks for dealing with uncertainty.

Politics of Rage

The proletariat want their franchise back

Four decades ago, globalization and increasing economic returns to intellectual capital opened a fissure between elites and everyone else, especially in more developed economies. The economic and political consequences of Apex neoliberalism widened this fissure into a chasm of mistrust that has resulted in the political turmoil that engulfed most advanced economies in the last decade. Contrary to conventional wisdom, its causes derive more from perceived and actual political disenfranchisement than economic distress and inequality. Trends in the former suggest the wave is not near cresting, implying sustained socio-political, geopolitical and economic disruptions.

$Bloc/Chinese co-prosperity sphere

FX herding cures “fear of floating”

The “co-prosperity sphere” of bloc managed exchange rates centered around Chinese trade and the US financial system, alternatively known as Bretton Woods II or Chimerica, dramatically reoriented global supply chains, supported emerging markets’ financial development and economic boom of the 2000s, drove much of the dollar’s 2002-’11 depreciation, and ultimately likely caused the Global Financial Crisis. Emerging market crises of the late 1990s marked the final chapter in the Bretton Woods exchange rate system. Yet “Fear of floating” persisted until China’s Mercantilism and contemporaneous accession to WTO provided an alternative: exchange rates managed by “herd” or by “pack”. Hiding within the herd provided financial stability for China’s EM trading partners, while simultaneously allowing them hunt as a pack for foreign direct investment and supply-chain dominance. The size and rapid growth of the co-prosperity sphere distorted the global economy like a massive stellar object warps space-time. Collective suppression of exchange rates and domestic cost of capital diverted supply chain growth into the bloc, while attendant reserve accumulation led to a surge in demand for “safe” core economy bonds. The former undermined returns to capital in traded goods production outside the bloc and the latter depressed interest rates on “safe” US debt, encouraging overinvestment in non-traded goods like housing. (Note: I labeled this phenomenon “the dollar bloc” when I first wrote about it in 2003-04, but later referred to it as “the co-prosperity sphere”.)

Mercantilism (with Chinese Characteristics)

State capitalism’s unintended costs

China’s 1994-2012 “miracle” that lifted nearly a billion people out of poverty and its current growth problems both originate in its extreme application of the mercantilist “Asian growth model” originated by Japan and later copied by Asia’s “Tigers”. A combination of capital controls, protectionism, domestic financial repression, and industrial policy direct underpriced capital to favored industries that promote rapid capital accumulation and development by leveraging external demand (and technology) from advanced economies. Rapid development and convergence comes at cost, however. Underpriced capital and exchange rates lead to distortive overinvestment. Those losses are realized either abruptly and painfully through write downs – like those enforced on late-‘90s Asian Crisis economies by the IMF – or, if the economy can self fund, are “amortized” as lost future growth. Japan’s lost decade and China’s current funk are examples of the amortization path of economic loss.

Apex neoliberalism

Liberal capital democracy’s pyrrhic victory

Rapid global growth, particularly in the less developed world, “hyperglobalized” production and the growth of inter-governmental coordination derive substantively from the triumph of neoliberalism that followed the collapse of its ideological competitors with the Soviet Union’s fall and emerging market crises of the 1990s. But so too did the seeds of its undoing: The Politics of Rage, Mercantilism (with Chinese characteristics), Missingflation, and ultimately Global entropy. Rapid adoption of Western economic institutions and trade mechanisms followed from neoliberalism’s victory, promoting a world of hyperglobalization: ever-more dispersed but integrated global supply chains, just-in-time industrial processes with reduced redundancy, unfettered cross-border capital flows, and uniform rules that increased the influence of international institutions, non-governmental organizations and multinationals at the expense of local political control and less-skilled citizenry. Resultant uniformity and coincident digitization created a façade of certainty and quantification, promoting an overreliance on quantitative methods in decision processes, risk control and forecasting.

Economic and market phenomena:

Economic & market forecasts
  • The continued fall in US real rates through the 2000s and early 2010s. Themes & framework: Mercantilism (with Chinese characteristics) and the associated $Bloc/Chinese co-prosperity sphere undermined the marginal product of capital in the US while simultaneously increasing non-US demand for US Treasuries.
  • Emerging market outperformance in the 2000s. Themes & framework: Mercantilism (with Chinese characteristics) drove both the development of the $Bloc/Chinese co-prosperity sphere and the commodity supercycle, while Apex neoliberalism supported institutional reforms that lowered EM risk premia, all of which encouraged foreign direct investment that raised productivity and led to rapid economic growth.
  • The end of emerging markets’ “original sin” and growth of EM local bond markets, a development supported by a G7 initiative that I led at the US Treasury. Themes & framework: The $Bloc/Chinese co-prosperity sphere provided a new stability in many EM exchange rates while institutional reforms undertaken by many as part of Apex neoliberalism lowered EM risk premia.
  • The Global Financial Crisis (albeit see admission of errors below). Themes & framework: Mercantilism (with Chinese characteristics) and $Bloc/Chinese co-prosperity sphere simultaneously increased incentives for debt finance in the US (as demand for “safe” USD bonds rose globally) while undermining US means of repayment as the US marginal product of capital in traded goods fell. Combined with poorly designed bank regulation that allowed banks to leverage themselves well beyond regulators’ intent (Apex neoliberalism), “complexity cascaded”.
  • The failure of QE to generate post-GFC inflation. Themes & framework: Believing is being: inflation expectations were stable to falling amid deleveraging and associated lethargic income growth, lowering real interest rates as nominal rates were pinned at the zero lower bound, and implying sustained weak money demand. Stuffing banks with more reserves changed none of those variables. As Keynes described seven decades earlier – in the absence of negative nominal rates – monetary policy at the zero lower bound is equivalent to “pushing on a string”.
  • The lack of effect of balance sheet runoff on interest rates. Themes & framework: Believing is being and portfolio theory rejected the then dominant “portfolio balance” theory of QE. QE was a credible commitment by central banks to keep rates on hold, suppressing expectations for future rates and thus the yield curve. This is why the “Taper Tantrum” had its largest effects on 3-5 year forward rates as expectations for rates hiked rose, while long-dated forward rates fell. Measures of long-dated term premia continued to fall as the Fed reduced its balance sheet.
  • Peak Chinese growth in 2011. Themes & framework: Mercantilism (with Chinese characteristics) led to unsustainable contributions of investment to GDP and a collapse in China’s marginal product of capital amid historically large debt to GDP, a phenomenon that peaked with China’s 50% surge in domestic credit in response to the GFC. Domestic funding of its debt trapped China within its own financial repression scheme, frustrating its efforts to unwind its $Bloc/Chinese co-prosperity sphere and internationalization the renminbi as a closed capital account is required to avoid savings flight and a collapse of the debt bubble. This self-funded debt bubble implies that losses from consequent overinvestment are “amortized” in the form of slower growth.
  • Emerging Market underperformance of the last decade (and likely future decade). Themes & framework: Institutional reform in EM peaked with US policy credibility before the GFC under Apex neoliberalism; China’s peak within Mercantilism (with Chinese characteristics) in 2011 and the associated end of the commodity supercycle ended the “pack” economic benefits of the $Bloc/Chinese co-prosperity sphere, while simultaneously the advent of Localization began to shift production back to advanced economies. Amid stagnating growth and backsliding reforms, EM FX and asset prices looked (and continue to look) overvalued and risk spreads remain too thin.
  • Falling USD reserve share in the 2000s and a rising share since peak China. Themes & framework: The massive reserve accumulation required to sustain undervalution of the $Bloc/Chinese co-prosperity sphere came to be seen as “sovereign wealth” that required diversification, rather than a liquidity store for crises, and led to a consequent fall in the USD share of reserves. Yet the greater financial openness and cross-border claims that accompanied the Apex neoliberalism necessarily implied a proportional increase in capital outflows in periods of risk aversion; i.e. historically large reserves were not as large as perceived in reality. As China and the $Bloc/Chinese co-prosperity sphere slowed after 2011, and Global entropy increased Uncertainty with attendant effects on risk aversion, emerging markets learned painfully in 2014 that reserves were neither excess nor sovereign wealth, but instead necessary liquidity, and that the USD’s safe haven properties were unparalleled.
  • Low and falling inflation throughout the 2010s. Themes & framework: Missingflation, the unexplained trend component of global inflation that had led to two decades of inflation overforecasting by economists, showed no signs of abating and seemed to be caused by a continued slide in inflation expectations (Believing is being) as central banks struggled with the zero lower bound. The end of the trend would require both for central banks to make more credible commitment to raise inflation in conjunction with a sustained positive inflation shock.
  • The (trend) bottoming of long-term US real rates, higher-than-expected peak in Fed funds rates and US equity outperformance in the last decade. Themes & framework: China’s peak in 2011 under Mercantilism (with Chinese characteristics) and the dissolution of the $Bloc/Chinese co-prosperity sphere ended the trend of falling US real rates they had created. But it wasn’t until Localization gathered sufficient steam – and the US private sector had deleveraged – that US openness and technological leadership sufficiently raised US returns to capital to support a rise in US real rates. The Trump administration’s political support (Politics of Rage) for Localization gave another nudge to US relative returns to capital, and Covid again accelerated these phenomena further (and likely more sustainably).
  • The capitulation of Saudi Arabia’s price leadership/management in 2014 in the face of surging US tight oil production leading to lower and more volatile crude oil prices. Themes & framework: The end of the commodity supercycle brought about by peak China under Mercantilism (with Chinese characteristics) paused relentless crude oil demand growth, allowing innovation and a business-friendly US regime to undermined Saudi Arabia’s price leadership with tight oil production. Cartel dynamics combined with Saudi Arabia’s long-run price maximization led to a collapse in Saudi-enforced OPEC discipline, and lower, more volatile crude oil prices.
  • Financial volatility’s shift to a lower median level with more frequent, shorter explosions during the last decade. Themes & framework: Rising Uncertainty in politics (Politics of Rage), geopolitics (Global entropy), technology (Localization), and policy (Missingflation) amid Complexity cascades shifted the relative shares of total risk away from quantifiable sources towards unquantifiable sources; the counter-intuitive implication of rising uncertainty is lower median volatility as active risk taking retreats in information lulls, with violent explosions of price activity when new information is revealed.
  • Persistence of post-Covid supply constraints and sustainable inflation supported by rearview-mirror central bank policies leading to a flip in the direction of Missingflation. Themes & framework: Covid simultaneously accelerated both the economic and political motivations for Localization, caused a permanent shift in the structure of global demand, and disrupted existing global supply chains. Short-run aggregate supply could not adjust to the jump in investment and shift in demand quickly enough, creating prolonged shortages and the need for prices to curtail demand. The associated cost-push inflation was all the spark needed to ignite Believing is being changes in inflation expectation driven by central banks’ backward-looking policies based on a lack of understanding of Missingflation.
  • The Fed’s post-Covid rate cycle would be more like 1994 than the post-2000 gradualist cycles (a call I made in early 2021). Themes & framework: The intent of the Fed’s FAIT policy always was to boost long-run inflation expectations by falling “behind the curve” on inflation. Yet their lack of understanding of the causes of Missingflation and insufficient faith in their own ability to generate Believing is being kept them focused on “fighting the last war” too long, allowing inflation to run too hot, too quickly. But contrary to market conventional wisdom, inflation is deeply politically unpopular in an aging society and no central banker wants to be remembered as failing to control inflation. Accordingly, the Fed (eventually) will react forcefully to contain the Believing is being genie they underestimated.
  • Consistent underperformance of European economy, assets and the euro since the Global Financial Crisis. Themes & framework: Relative to trend growth, Europe was more highly indebted than the US, yet European policymakers too long considered the GFC an “American problem”. Combined with Europe’s greater institutional rigidities and a reluctance to write down bad assets, it would take proportionately longer to achieve necessary deleveraging. China’s 2011 peak within Mercantilism (with Chinese characteristics) and the rise of Localization undermined all parts of Europe: the globalization-dependent South and China-dependent North, while inflexibility and low levels of technological innovation inhibit Europe’s ability to adjust to the new global economic order.
  • UK outperformance of consensus Brexit forecasts. Themes & framework: Consensus forecast for post-Brexit UK were based on three flawed assumptions (due to underappreciation of themes!). First, by ignoring emergent Localization, growth forecasts grounded in Apex neoliberalism wrongly assumed globalization would continue to be a major driver of economic growth. Second, the consensus failed to acknowledge the UK’s long-run structural competitiveness: world-leading universities providing a technological edge in Localization; and strong, enduring institutions offering safety and stability amid Global entropy and rising Uncertainty. Third, the consensus, ironically, ignored the largest driver of trade (by a wide margin) in their own models: “gravity”, or proximity to trading partners. Network effects are extraordinarily powerful in trade and difficult to overcome.
  • Importance and implications for markets of Scottish independence referendum in 2014. Themes & framework: As one of the earliest manifestations of the Politics of Rage and its demands for greater political representation, the Scottish referendum was an unanticipated shock to markets and one of the first signs of Global entropy and the Uncertainty to come.

Foreign exchange forecasts:

Foreign exchange forecasts
  • The dollar’s trend fall 2002-’11. Themes & framework: The effects of the $Bloc/Chinese co-prosperity sphere on relative returns to capital, balance of payments and the effects of “diversification” as sovereign reserves evolved into sovereign wealth.

  • The dollar’s trend turn in 2011, surge 2014-2016, and counter-consensus strength in 2018 and 2021 (I was the only sell-side analyst to forecast USD strength in 2021). Themes & framework: The same forces driving the US real rates higher in the last several years – the end of Mercantilism (with Chinese characteristics) and its associated $Bloc/Chinese co-prosperity sphere, disproportionate benefit to the US from accelerating Localization, Global entropy and Complexity cascades, all played out in the USD, too, with added support from increased safe haven demand for the greenback due to rising Uncertainty brought about by Global entropy and Complexity cascades.

  • The euro’s plunge from $1.36 in mid 2014 to $1.05 in early 2015. Themes & framework: Reluctant deleveraging from the Global Financial Crisis combined with the sharp deterioration in European returns to capital following China’s peak within Mercantilism (with Chinese characteristics) and the shift to Localization from globalization implied a sharply lower real value of the euro. When ECB President Draghi ruled out the deflationary (1990s Japan) path to devaluation with his commitment to “whatever it takes”, Believing is being implied an immediate and massive change in the nominal value of the euro was required as the expected path for domestic prices flipped.

  • The yen’s surge from above 120 per dollar to below 105 in H1 2016. Themes & framework: Abenomics’ biggest success was its Believing is being commitment to reflate Japan’s economy, leading to a sharp depreciation of the nominal yen as expected future deflation was unwound. But yen depreciation included an “overshoot” to compensate for the risks that inflation might overshoot. The Bank of Japan’s tacit admission that “Quantitative & Qualitative Easing” could not create sufficient inflation with its December 2015 adoption of negative interest rates implied a rapid unwind of the overshoot given the yen’s deep undervaluation as beliefs shifted again.

  • The pound sterling’s pre-EU referendum fall to $1.40, post-referendum floor near $1.20, and its post-Brexit rebound above $1.30. Themes & framework: A steep risk premium in sterling was required to compensate for the Uncertainty induced by the Politics of Rage driven jolt. Yet, 1.20 represented a 60+ year low in purchasing power parity and seemed to undervalue the UK’s long-run structural assets – strong institutions, top global universities, leading tech industry – all of which were appreciating in value in a world of Localization, Global entropy, broader Uncertainty, and rising potential for Complexity cascades.

Political forecasts:

  • Political instability in Russia and China in 2023: Clash of the Themes.

  • Brexit 2016. Themes & framework: The chasm between elites (including those in markets) and ordinary citizens over the latter’s sense of disenfranchisement, the fundamental cause of the Politics of Rage, was clear well before the referendum and strongly suggested that bias in polling turnout models could fully account for the polls’ projected margin of defeat.

  • Trump 2016. Themes & framework: Record pre-election postal votes from registered independents (for whom no party seeks to “get out the vote”) suggested that, as with Brexit, the Politics of Rage’s disenfranchised and unaccounted for voters would be sufficient to overcome the (narrow) projected margin of loss.

  • Marine Le Pen’s 2017 success in reaching the run-off but ultimate failure to win French presidency. Themes & framework: The Politics of Rage framework suggested an undercounting of both Le Pen and left-wing populists’ support, giving her a clear path to the second round. But her projected margin of loss in the general election was far too large to be due solely to turnout bias, implying no chance of second-round success, particularly with left-wing populist voters dropping out or shifting support to Macron.

  • Trump narrow loss, post-election conflict 2020. Themes & framework: Pollsters’ mistaken focus on education levels as the source of their 2016 turnout errors rather than on (mis)trust driven by the Politics of Rage implied polls still were biased. Large shifts in minority voters towards Trump and unusually high “undecided” voters late in a highly polarized election also suggested the magnitude of Trump’s outperformance would be large (indeed, it was larger than 2016). But the margin to overcome also was much wider in 2020, suggesting a close loss by Trump. Increasing polarization and mistrust on both sides implied a violent reaction by a minority, whichever side lost.

Admission of errors:

I get things wrong, too, but hopefully am the wiser for it. This list is far from complete, but represents some of the ones that both stung and taught me the most.

  • Failing to specify financial institutions as at risk from credit trauma in 2023. While I did highlight that the most predictable source of for 2023 would be credit events following the massive rise in interest rates in 2022 (Debt reality versus perceptions), I didn’t specifically identify banks and other financial institutions as especially vulnerable, which proved to be the case with the failure of a few regional US banks in March 2023. Lessons learnt: Sometimes one’s focus on the underlying causes blinds to the obvious consequences, and levered entities with broad exposure will always be at risk from any traumas within an economy, even if sector or region specific.

  • Not seeing the Global Financial Crisis sooner. I saw the GFC earlier than many, but the extent of the financial system’s capital shortfall eluded me far longer than it should have. At the US Treasury from 2006 through early 2008 I was responsible for assessing foreign financial risks (sadly, institutional territorialism prevented an integrated approach with my domestic-side colleagues that may have focused more attention on off-balance-sheet financing of US housing). I chaired meeting after meeting in 2006-‘07 with market professionals, academics, regulators, and other policymakers where a noisy minority of participants argued that historic levels of debt to GDP implied an impending crisis. Yet when I challenged them to explain a channel of transmission, what would be the tipping point, why it had not occurred already, or to present evidence that bank capital was insufficient to absorb even an historic drop in US housing prices, none – including some who have become very famous for “calling” the GFC – could do so. Ultimately, it was the behavior of banks in funding markets in mid-to-late 2007 that clued me in that banks’ capital bases might not be what they purported (or, equivalently, contingent liabilities off balance sheet were far larger than people understood). What I had not done – nor, apparently had any of the “experts” I consulted in those years – was the detailed micro-level analysis that the protagonists of The Big Short had done (kudos to them). Lessons learnt: 1. “Macro” analysis often requires “micro foundations”; 2. many people claim expertise, don’t rely on it without evidence; and 3. notwithstanding (2), even if they can’t explain it, pay attention when a gathering minority claim to smell smoke. (Implicit lesson 4: don’t assume that the left hand is talking to the right hand in any organization.)

  • Losing my nerve at the bottom of markets in 2009. My framework helped me to correctly call the bottom in credit markets in January 2009 and recommend to the distressed debt fund I then worked for that we aggressively buy leveraged loans. But on market research mission in late February, I got spooked by US Treasury and Fed officials I met in New York and Washington. Throwing my framework out the window, on 6 March 2009, the exact day the S&P 500 hit its 666 low, I wrote a memo urging the fund to sell SPX futures as a hedge on its market exposure. Lessons learnt: 1. Never abandon your framework; and 2. don’t assume someone’s position or pedigree alone gives them an informational or analytical advantage: demand reasons and evidence.

  • Missing the euro’s partial rebound in 2017; indeed, I forecast it lower! I failed to acknowledge the extent of the uptick in economic activity, and importantly, the credit growth that the ECB’s “anything it takes” policy was generating. This one stung as I was a strong believer in then-President Mario Draghi’s approach and had previously highlighted credit expansion as a key metric of success. Lessons learnt: Keep your eyes on the ball and regularly check to see if any of the ex ante conditions established for changing your mind have been met.

  • Dollar weakness in summer 2020. Another one that really stings. Having correctly forecast that Covid-induced Uncertainty would lead to a surge in the USD as everyone scrambled for high-quality assets and liquidity in March-April 2020, I then failed to incorporate the unwind of that flight to quality as risk tolerance returned once the panic subsided. Lesson learnt: Sadly, the same as 2017 dollar lesson: Keep your eyes on the ball and mind your pre-established conditions for turning points.

  • I completely missed the Fed’s mini easing cycle in 2019. While we will never know and Covid eviscerated my chance at redemption, I still believe the Fed’s easing was not merited and likely would have necessitated more aggressive hiking later had the Covid crisis not intervened. The US economy continued to grow strongly in 2019, investment held up, and while headline inflation moderated somewhat, bottlenecks were generating rapid acceleration in a number of CPI subcomponents. But even if I was right on the economy, the FOMC sets policy and I failed to listen to them, particularly the increasing support for average inflation targeting. Lessons learnt: Policymakers set policy, listen to them even if you think they’re wrong.

  • Underestimating Jeremy Corbyn in the 2017 UK general election. I expected a small Conservative victory based on then Prime Minister Theresa May’s outreach to the working class and the Labour Party’s anti-Brexit tone. What I failed to notice was that Mr. Corbyn’s grass-roots campaign cleverly focused on local bread-and-butter issues and greater political devolution, directly addressing one of the primary drivers of the Politics of Rage: a widening sense of political disenfranchisement among the average citizenry. Corbyn’s tangible policies and outreach – which he largely abandoned in his losing 2019 campaign – easily trumped Ms. May’s intangible rhetoric as “hidden” Brexit voters didn’t trust her. Lessons learnt: Again, “macro” analysis needs “micro foundations”, particularly in politics; ignore at your own peril.

  • Texas Governor Rick Perry to win the 2012 Republican nomination and beat President Barack Obama in the general election. The foundations of the Politics of Rage were already well apparent by the 2012 election and Rick Perry’s campaign was well tuned to court the rising sense of disenfranchisement of working-class voters, particularly in Appalachia, and increasing distrust of institutional expertise across voters. Many of those voters were Democrats who were disappointed with the lack of “Hope and Change” promised by President Obama, making him vulnerable to any Republican who could attract a significant number of Democratic voters. Governor Perry’s bigger challenge appeared to be winning the Republican nomination, but his solid conservative credentials and popularity in the second-largest state suggested he would eek it out. Who knew he would self-immolate in a nationally televised debate? Lessons learnt: Themes are important – Trump proved the Politics of Rage four years later – but idiosyncratic risks always are present.