Inventing modern invention: The professionalization of technological progress in the US

Over the course of the mid-19th and early 20th century, the US transformed from an agricultural economy to the frontier in technology. To study this transition, we digitize half a million pages of patent yearbooks that describe inventors, organizations and technologies on over 1.6M patents. We combine this with demographic information from US census records and information on corporate research from large-scale repeated surveys of industrial research labs. Our data reveal that in the early 1920s a new system of innovation — based on teamwork and engineers — started to rapidly replace the existing craftsmanship-based invention that had dominated innovation in the 19th century. We argue that this new system relied on an organizational innovation: industrial research labs. These labs supported high-skill teamwork, replacing the collaborations within families with professional ties in firms and industrial research labs. The systemic shift in innovation had far-reaching consequences: it changed the division of labor in invention, led to an explosion of novelty and teamwork, and reshaped the geography of innovation in the US.

For a deeper dive into the research and visuals, explore this analysis by the Complexity Science Hub.

Tackling Discrepancies in Trade Data: The Harvard Growth Lab International Trade Datasets

Bilateral trade data informs foreign and domestic policy decisions, serves as a growth indicator, determines tariffs, and is the basis for financial and investment decisions for corporations. Accurate trade data translates into better decision-making. However, the raw bilateral trade data reported by UN Comtrade suffer from two structural problems: reporting differences between country partners and countries reporting in different product classification systems, which require product-level harmonization to compare data across countries. In this paper, we address these challenges by combining a mirroring technique and a data-driven concordance method. Mirroring reconciles importer and exporter differences by imputing country reliability scores and applying a weighted country-pair average to calculate the estimated trade value. We harmonize product classifications across vintages by calculating conversion weights that reflect a product’s market share. The resulting publicly available datasets mitigate issues in raw trade statistics, reducing reporting inconsistencies while maintaining product-level granularity across six decades.

Catalysing Economic Growth Through Powershoring

In a trend called powershoring, energy-intensive industry will locate closer to renewable energy sources, driven by cheap renewable energy (which is difficult to transport), and the need to decarbonise. Regions’ renewable energy resources and industrial capabilities shape the types of energy-intensive industries they can attract: some regions are best placed to produce very energy-intensive commodities (like green steel and green ammonia), while other regions are best positioned to host more complex industries that still require good clean energy supplies (like battery manufacturing or datacentres). Similarly, some powershoring industries have many spillovers and open up new pathways for regional economic growth, while other energy-intensive industries have fewer spillovers or open up fewer development pathways. This contribution explores these trends to help policymakers develop contextually aware powershoring strategies that can catalyse their best opportunities for economic development.

Tackling Discrepancies in Trade Data: The Harvard Growth Lab International Trade Datasets

Bilateral trade data informs foreign and domestic policy decisions, serves as a growth indicator, determines tariffs, and is the basis for financial and investment decisions for corporations. Accurate trade data translates into better decision-making. However, the raw bilateral trade data reported by UN Comtrade suffer from two structural problems: reporting differences between country partners and countries reporting in different product classification systems, which require product-level harmonization to compare data across countries. In this paper, we address these challenges by combining a mirroring technique and a data-driven concordance method. Mirroring reconciles importer and exporter differences by imputing country reliability scores and applying a weighted country-pair average to calculate the estimated trade value. We harmonize product classifications across vintages by calculating conversion weights that reflect a product’s market share. The resulting publicly available datasets mitigate issues in raw trade statistics, reducing reporting inconsistencies while maintaining product-level granularity across six decades. 

Industrial policy for competitiveness in the energy transition

Green objectives have reshaped public policy worldwide since the signing in 2015 of the Paris Agreement to limit global warming. Climate policy has moved from being one policy among many to an objective embedded in public policies at every level, including energy, industrial, fiscal, trade, development and foreign policies. However, a clear outcome from this policy shift is yet to be seen, with emissions still rising and climate impacts intensifying. There is also backlash against greening in a charged geopolitical environment.

Nevertheless, the chapters in this volume, written by a range of experts worldwide, show that in many countries and policy areas, green objectives are still driving fundamental changes and many lessons have been learned. The goals of reducing emissions and enhancing economic and societal resilience to climate change will persist as climate impacts become more evident, and as the green transition produces successes at city, regional and national levels. In this context, this Bruegel Blueprint offers a fresh intellectual framework for understanding how the green transition is shaping cross-sectoral impacts across the globe.

De Facto Openness to Immigration

Various factors influence why some countries are more open to immigration than others. Policy is only one of them. We design country-specifc measures of openness to immigration that aim to capture de facto levels of openness to immigration, complementing existing de jure measures of immigration, based on enacted immigration laws and policy measures. We estimate these for 148 countries and three years (2000, 2010, and 2020). For a subset of countries, we also distinguish between openness towards tertiary-educated migrants and less than tertiary-educated migrants. Using the measures, we show that most places in the World today are closed to immigration, and a few regions are very open. The World became more open in the first decade of the millennium, an opening mainly driven by the Western World and the Gulf countries. Moreover, we show that other factors equal, countries that increased their openness to immigration, reduced their old-age dependency ratios, and experienced slower real wage growth, arguably a sign of relaxing labor and skill shortages.

Explore the country rankings in our interactive visualization website and learn more about the project, Leveraging the Global Talent Pool to Jumpstart Prosperity in Emerging Economies.

Growth Through Diversification in Hermosillo

In this report, we study Hermosillo’s economic performance and assess critical issues affecting the city’s ability to achieve stronger economic growth. Although Hermosillo is far from experiencing economic stagnation, it fell behind other cities that managed to become successful economic hubs between 2010 and 2020. The main reason behind this trailing growth is Hermosillo’s relatively low diversification and investment dynamics, especially in the manufacturing sector. We apply growth diagnostic testing on various potential constraints to economic growth: logistics, electricity, water, human capital, housing, and transportation. Although none of them have directly constrained economic growth in the past, some are explicit threats to increasing growth in the future, thus catching up with high-performing peers. Electricity, human capital, and logistics are comparative advantages, while water, housing, and transportation are threats. 

In 2025, Mexico is expected to start a new period in its economic history marked by the promise of nearshoring and a new presidential administration. In the past, Mexico has gone through milestones that heavily impacted its economic development path, like the establishment of NAFTA and the China Shock (Hanson, 2010). The rise of Northern Mexico and other regions like El Bajío as global manufacturing hubs has resulted from greater integration with the North American market. This has brought foreign direct investments (FDI) targeted at establishing manufacturing sites primarily to cater to US demand and exports to the rest of the world. Mexico holds high expectations that nearshoring will bring opportunities of the same or greater magnitude. In that context, Hermosillo stands out as a city with the potential to exploit those opportunities and enhance its economic transformation. It is crucial to analyze its binding constraints for economic growth, comparative advantages, and potential concerns to understand how well-positioned Hermosillo is to take advantage of this momentum. 

Following the introduction and a methodological overview, the report is divided into four main sections. Section 3 provides a growth perspective on Hermosillo; Section 4 presents an analysis of growth constraints; Section 5 explains the local diversification challenge in detail; and Section 6 describes strategic policy areas to accelerate growth that result from this growth diagnostic analysis. 

Diagnosing Wyoming’s Workforce Challenges

Wyoming is facing two distinct labor market challenges: in the short-term low workforce availability is a constraint while in the long-term job and wage growth have stagnated. Currently, Wyoming’s labor market is characterized by tightness and employers are struggling to fill positions. However, the current tightness of the labor market is not a phenomenon that is specific to Wyoming but instead is prevalent across the country. What sets Wyoming apart is the lack of growth in employment and wages over the long-term. Understanding these differing dynamics is important because policy responses may attempt to address the short-term issue without considering the underlying structural causes of the long-term dynamics. This will likely be ineffective and not lead to lasting change. For lasting change, the structural issues of the long-term dynamic need to be addressed.

An often-discussed solution is to increase the supply of training and education – this has merits in its own right but will not solve the long-term labor market challenge facing Wyoming. Only 38% of all jobs in Wyoming require tertiary education, the second lowest of any US state. Additionally, our analysis shows that the returns to a tertiary degree in Wyoming are significantly below those of its peers. Unsurprisingly, the lack of demand for tertiary-educated workers leads many young Wyomingites with a tertiary degree to leave the state. Overall, however, Wyoming has become an exporter of well-trained young people. Increasing the supply of tertiary education will not address the underlying structural issues facing the labor market.

A main driver of Wyoming’s lagging performance has been the comparatively low labor productivity in the state. Most of Wyoming’s industries have a lower output per worker than the respective national industry and pay lower wages on average. Industries that fall into this category cover 82.8% of all employment in Wyoming. The few industries in which Wyoming is more productive than the rest of the US are mostly related to natural resource extraction. Wage dynamics of occupations in the state exert a similar pattern where STEM-related occupations have not seen much growth, indicating low demand in the state.

To address the long-term issue, Wyoming needs to create the conditions for a more complex economy that can use the potential of its human capital instead of excessively relying on its natural resources. The challenge is to attract and grow competitive companies in industries with strong demand. A critical factor in doing so is scale. Many more knowledge-intensive industries tend to develop in places that are larger urban agglomerations. Wyoming should focus on the positive forces of agglomeration to develop these industries and make use of the productive potential it has. Creating the conditions for this includes place-based investments and an enabling regulatory framework. In Wyoming, housing regulations have been an important barrier preventing further agglomerations, but efforts are underway to address this barrier.

In the short-term, solutions that are focused on increasing the available labor pool within the state appear most promising in easing the current constraint. This is especially true when they address structural barriers that could persist after the labor market cools off. Our work documents specific recommendations within the areas of childcare, justice-involved individuals, higher education, and out-of-state workers (Section 3.2) that aim to increase the participation from these labor pools in Wyoming’s workforce. These are labor pools that are significant in size and have underutilized potential in terms of labor force participation within the state.

Related project: Pathways to Prosperity in Wyoming

From Products to Capabilities: Constructing a Genotypic Product Space

Economic development is a path-dependent process in which countries accumulate capabilities that allow them to move into more complex products and industries. Inspired by a theory of capabilities that explains which countries produce which products, these diversification dynamics have been studied in great detail in the literature on economic complexity analysis. However, so far, these capabilities have remained latent and inference is drawn from product spaces that reflect economic outcomes: which products are often exported in tandem. Borrowing a metaphor from biology, such analysis remains phenotypic in nature. In this paper we develop a methodology that allows economic complexity analysis to use capabilities directly. To do so, we interpret the capability requirements of industries as a genetic code that shows how capabilities map onto products. We apply this framework to construct a genotypic product space and to infer countries’ capability bases. These constructs can be used to determine which capabilities a country would still need to acquire if it were to diversify into a given industry. We show that this information is not just valuable in predicting future diversification paths and to advance our understanding of economic development, but also to design more concrete policy interventions that go beyond targeting products by identifying the underlying capability requirements. 

Export-led Growth

Should exports be an important focus of economic growth strategies? The Washington Consensus, summarised by John Williamson some 35 years ago, would have answered in the negative. In the 1980s, when the consensus was forged, many countries had highly protective trade regimes, multiple exchange rates with large black-market premia, interest rate controls, and high inflation. The consensus was that if countries unified exchange rates, reduced barriers to trade, and brought inflation under control, exports would follow naturally. According to the Lerner symmetry theorem, import tariffs are equivalent to a tax on exports. Exchange controls act as an additional tax by forcing exporters to sell their earnings at an artificially appreciated exchange rate. If such policy-induced distortions were eliminated, the Washington Consensus suggested, exports would naturally reach their efficient level.

Today, many countries have unified their exchange rates, eliminated exchange controls, brought inflation to single digits, reduced trade barriers, and signed free trade agreements with many of their main trade partners, and yet, the median country has not narrowed its income gap with the United States. Export performance matters for growth, with countries that grow exhibiting more than proportional export growth. In many developing and emerging economies, growth is highly correlated with exogenous movements in their export prices and on fluctuations in international capital flows. Moreover, sustained fast-growing economies change the composition of their export basket substantially towards new, more complex products. 

Regional differences in growth and export trajectories confirm these observations. Countries in East Asia – including China — have managed rapid changes to their export baskets, increased their global export shares in new industries, and achieved fast growth. In Latin America, by contrast, even good performers like Chile, Colombia and Peru stabilised inflation, opened their economies to international trade (tariffs are negligible and they have signed numerous free trade agreements) and capital flows. Yet, they have been unable to diversify their export baskets and achieve sustained growth. The experiences of many nations in Africa and the Middle East resemble those of Latin America.

In this paper, I argue that a focus on exports, both at the intensive margin (where existing products increase their volume), but especially at the extensive margin (where new products start being exported), can help countries figure out what policies to adopt in order to achieve sustained growth. I present five stylised facts about growth and its trends in the decades that followed the Washington Consensus.