Economic Complexity

Bustos, S., Cheston, T. & Rao, N., 2023. The Missing Economic Diversity of the Colombian Amazon.Abstract

Alarming rates of forest loss in the Colombian Amazon have created a perceived trade-off that the only means of achieving economic prosperity is by sacrificing the forest. This study finds little evidence of this trade-off; rather, we find that economic development and forest protection are not an either-or choice. Forest clearing is driven by extensive cattle-ranching as a means to secure land titles. In essence, the loss of some of the world’s richest biodiversity is the result of some of the least economically complex activities that fail to achieve economic prosperity in the region. If anything, the acceleration in deforestation has accompanied a period of economic stagnation.

The existing economic model in the Amazon – centered on agrarian colonization and mineral extraction – has not generated prosperity for the people, all while failing the forest. The exceptional diversity of the Amazon’s biome is not reflected in the region’s economy. The Amazonian economy is best characterized by its low diversity and low complexity. A significant proportion of employment is linked to public administration – more than in other departments of the country. Very little of the production in the departments is destined to be consumed outside the departments ("exported").

This study seeks to define an alternative economic model for the Colombian Amazon from the perspective of economic complexity with environmental sustainability. Economic complexity research finds that the productive potential of places depends not only on the soil or natural resources, but on the productive capabilities—or knowhow—held by its people. This research finds that the Colombian Amazon will not become rich by adding value to its raw materials or by specializing in one economic activity. Rather, economic development is best described as a process of expanding the set of capabilities present to be able to produce a more diverse set of goods, of increasingly greater complexity. This model starts from the base of understanding the existing productive capabilities in Caquetá, Guaviare, and Putumayo, to identify high-potential economic sectors that build off those capabilities to achieve new, sustainable pathways to shared prosperity.

Achieving shared prosperity in the Amazon depends on the connectivity and opportunity in its urban areas. The primary drivers of greater economic complexity – and prosperity – are the cities in the Amazon. Even in the remote areas of the Amazon, the majority of people in Caquetá, Guaviare, and Putumayo live in urban areas. The low prosperity in the Colombian Amazon is driven by the lack of prosperous cities. The report finds that Amazonian cities are affected by the lack of connectivity to major Colombian cities that limit their ability to ‘export’ things outside the department to then expand the capacity to ‘import’ the things that are not produced locally as a means to improve well-being.

Boosting future economic growth through diversification into more sophisticated industries: China, Viet Nam, Uganda, Indonesia and India leading the way

By: Timothy Cheston and Lorena Rivera León (World Intellectual Property Organization)

The journey towards economic development hinges upon the acquisition and utilization of productive knowledge, particularly in increasingly sophisticated – aka complex – industries and products. To chart a course toward robust economic growth, economies must effectively diversify into products that require rich and deep know-how which only a few other countries master, including innovation-intensive sectors such as information and communication technologies (ICTs), pharma, medical technologies...

Read more about Boosting future economic growth through diversification into more sophisticated industries: China, Viet Nam, Uganda, Indonesia and India leading the way

Setting the Grounds to Measure Smallholder Farmers' Complexity

By Laura Romero

The Growth Lab has estimated economic complexity, a measure of knowhow agglomeration, for several countries worldwide. However, measuring complexity in the agricultural sector poses a significant challenge. What is more, measuring it for smallholder farmers around the world is even more complex. Through our work, we have laid the groundwork for future measures of complexity for this population...

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Cheston, T. & Rueda-Sanz, A., 2023. The Economic Tale of Two Amazons: Lessons in Generating Shared Prosperity while Protecting the Forest in the Peruvian and Colombian Amazon.Abstract
Achieving economic prosperity in the Amazon rainforest is often seen as incompatible with protecting the forest. Environmental researchers rightly warn that rapid deforestation is pushing the Amazon close to a potential tipping point of forest dieback into grassy savanna. Less has been said about what is required to generate shared prosperity in Amazonian communities. Deforestation is often treated as inevitable to serve human needs, local and global. This report synthesizes the findings of two engagements by the Growth Lab at Harvard University that study the nature of economic growth in two Amazonian contexts: Loreto in Peru, and Caquetá, Guaviare, and Putumayo, in Colombia. The aim of these engagements is to leverage the Growth Lab's global research into the nature of economic growth to apply those methods to the unique challenge of developing paths to prosperity in the Amazon in ways that do not harm the forest. This report compares and contrasts the findings from the Peruvian and Colombian Amazon to assess the extent to which there are generalizable lessons on the relationship between economic growth and forest protection in the Amazon.
Li, Y. & Neffke, F., 2023. Evaluating the Principle of Relatedness: Estimation, Drivers and Implications for Policy.Abstract
A growing body of research documents that the size and growth of an industry in a place depends on how much related activity is found there. This fact is commonly referred to as the "principle of relatedness." However, there is no consensus on why we observe the principle of relatedness, how best to determine which industries are related or how this empirical regularity can help inform local industrial policy. We perform a structured search over tens of thousands of specifications to identify robust – in terms of out-of-sample predictions – ways to determine how well industries fit the local economies of US cities. To do so, we use data that allow us to derive relatedness from observing which industries co-occur in the portfolios of establishments, firms, cities and countries. Different portfolios yield different relatedness matrices, each of which help predict the size and growth of local industries. However, our specification search not only identifes ways to improve the performance of such predictions, but also reveals new facts about the principle of relatedness and important trade-offs between predictive performance and interpretability of relatedness patterns. We use these insights to deepen our theoretical understanding of what underlies path-dependent development in cities and expand existing policy frameworks that rely on inter-industry relatedness analysis.
Birthplace diversity and economic complexity: Cross-country evidence
Bahar, D., Rapoport, H. & Turati, R., 2022. Birthplace diversity and economic complexity: Cross-country evidence. Research Policy , 51 (8). Publisher's VersionAbstract
We empirically investigate the relationship between a country’s economic complexity and the diversity in the birthplaces of its immigrants. Our cross-country analysis suggests that countries with higher birthplace diversity by one standard deviation are more economically complex by 0.1 to 0.18 standard deviations above the mean. This holds particularly for diversity among highly educated migrants and for countries at intermediate levels of economic complexity. We address endogeneity concerns by instrumenting diversity through predicted stocks from a pseudo-gravity model as well as from a standard shift-share approach. Finally, we provide evidence suggesting that birthplace diversity boosts economic complexity by increasing the diversification of the host country’s export basket.
Hausmann, R., et al., 2023. The Economic Complexity of Kazakhstan: A Roadmap for Sustainable and Inclusive Growth.Abstract

Since the end of the 1990s, Kazakhstan has relied on oil and gas as the main drivers of economic growth. While this has led to rapid development of the country, especially during years of high oil prices, it has also subjected the economy to more severe downturns during oil shocks, bouts of currency overvaluation, and procyclicality in growth and public spending.

Stronger economic diversification has the potential to drive a new era of sustainable growth by supporting new sources of value added and export revenue, creating new and better jobs, and making the economy more resistant to fluctuations in oil dynamics. However, repeated efforts to stimulate alternative, non-oil engines of growth have so far been inconclusive.

This report introduces a new framework to identify opportunities for economic diversification in Kazakhstan. This framework attempts to improve upon previous methods, notably by building country and region-specific challenges to the development of the non-oil economy directly into the framework to identify feasible and attractive opportunities. These challenges are presented in detail in the Growth Diagnostic of Kazakhstan and are summarized along three high-level constraints: (i) an uneven economic playing field dominated by government-related public and private-entities; (ii) difficulties in acquiring productive capabilities, agglomerating them locally, and accessing export markets; and (iii) ongoing macroeconomic factors lowering external competitiveness lower and making the economy less stable.

Our approach applies the economic complexity paradigm to identify what specific products and industries are most feasible for diversification, based on the existing productive capabilities demonstrated in the economy. We examine Kazakhstan's economic complexity at the national but also subnational levels, highlighting the heterogeneity of export baskets across regions that makes an analysis of opportunities at the subnational level essential.

Related project: Sustainable and Inclusive Growth in Kazakhstan

Schetter, U., 2022. A Measure of Countries’ Distance to Frontier Based on Comparative Advantage.Abstract
This paper presents a structural ranking of countries by their distance to frontier. The ranking is based on comparative advantage. Hence, it reveals information on the productive capabilities of countries that is fundamentally different from GDP per capita. The ranking is centered on the assumption that countries’ capabilities across products are similar to those of other countries with comparable distance to frontier. It can be micro-founded using standard trade models. The estimation strategy provides a general, non-parametric approach to uncovering a log-supermodular structure from the data, and I use it to also derive a structural ranking of products by their complexity. The underlying theory provides a flexible micro-foundation for the Economic Complexity Index (Hidalgo and Hausmann, 2009).
Diodato, D., Hausmann, R. & Schetter, U., 2022. A Simple Theory of Economic Development at the Extensive Industry Margin.Abstract
We revisit the well-known fact that richer countries tend to produce a larger variety of goods and analyze economic development through (export) diversifcation. We show that countries are more likely to enter ‘nearby’ industries, i.e., industries that require fewer new occupations. To rationalize this finding, we develop a small open economy (SOE) model of economic development at the extensive industry margin. In our model, industries differ in their input requirements of non-tradeable occupations or tasks. The SOE grows if profit maximizing frms decide to enter new, more advanced industries, which requires training workers in all occupations that are new to the economy. As a consequence, the SOE is more likely to enter nearby industries in line with our motivating fact. We provide indirect evidence in support of our main mechanism and then discuss implications: We show that there may be multiple equilibria along the development path, with some equilibria leading on a pathway to prosperity while others resulting in an income trap, and discuss implications for industrial policy. We finally show that the rise of China has a non-monotonic effect on the growth prospects of other developing countries, and provide suggestive evidence for this theoretical prediction.
Hausmann, R., et al., 2022. The Economic Complexity of Namibia: A Roadmap for Productive Diversification .Abstract
After a large growth acceleration within the context of the commodity super cycle (2000-2015), Namibia has been grappling with three interrelated challenges: economic growth, fiscal sustainability, and inclusion. Accelerating technological progress and enhancing Namibia’s knowhow agglomeration is crucial to the process of fostering new engines of growth that will deliver progress across the three targets. Using net exports data at the four-digit level, we estimate the economic complexity of Namibia – a measure of knowhow agglomeration – vis-à-vis its peers. Our results suggest that Namibia’s economy is relatively less complex and attractive opportunities to diversify tend to be more distant. Based on economic complexity metrics, we define a place-specific path for productive diversification, identifying industries with high potential and providing inputs – related to their feasibility and attractiveness in Namibia – for further prioritization. Namibia’s path to structural transformation will likely be steeper than for most peers, calling for a more active policy stance geared towards progressive accumulation of productive capacities, well-targeted “long jumps”, and strengthening state capacity to sort out market failures associated with the process of self-discovery.
The new paradigm of economic complexity
Balland, P.-A., et al., 2022. The new paradigm of economic complexity. Research Policy , 51 (3). Publisher's VersionAbstract
Economic complexity offers a potentially powerful paradigm to understand key societal issues and challenges of our time. The underlying idea is that growth, development, technological change, income inequality, spatial disparities, and resilience are the visible outcomes of hidden systemic interactions. The study of economic complexity seeks to understand the structure of these interactions and how they shape various socioeconomic processes. This emerging field relies heavily on big data and machine learning techniques. This brief introduction to economic complexity has three aims. The first is to summarize key theoretical foundations and principles of economic complexity. The second is to briefly review the tools and metrics developed in the economic complexity literature that exploit information encoded in the structure of the economy to find new empirical patterns. The final aim is to highlight the insights from economic complexity to improve prediction and political decision-making. Institutions including the World Bank, the European Commission, the World Economic Forum, the OECD, and a range of national and regional organizations have begun to embrace the principles of economic complexity and its analytical framework. We discuss policy implications of this field, in particular the usefulness of building recommendation systems for major public investment decisions in a complex world.
Diagnosing Human Capital as a Binding Constraint to Growth: Tests, Symptoms and Prescriptions
Santos, M.A. & Hani, F., 2021. Diagnosing Human Capital as a Binding Constraint to Growth: Tests, Symptoms and Prescriptions. Cambridge University Press: Elements in the Economics of Emerging Markets. Publisher's VersionAbstract

The empirical literature on the contributions of human capital investments to economic growth shows mixed results. While evidence from OECD countries demonstrates that human capital accumulation is associated with growth accelerations, the substantial efforts of developing countries to improve access to and quality of education, as a means for skill accumulation, did not translate into higher income per capita. In this Element, we propose a framework, building on the principles of 'growth diagnostics', to enable practitioners to determine whether human capital investments are a priority for a country's growth strategy. We then discuss and exemplify different tests to diagnose human capital in a place, drawing on the Harvard Growth Lab's experience in different development context, and discuss various policy options to address skill shortages.

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