Economic Complexity

Hausmann, R., et al., 2021. Economic Complexity Report for Western Australia.Abstract

The Government of Western Australia (WA), acting through its Department of Primary Industries and Regional Development (DPIRD), invited the Growth Lab of the Center for International Development (CID) at Harvard University to partner with the state to better understand and address constraints to economic diversification through a collaborative applied research project. The project seeks to apply growth diagnostic and economic complexity methodologies to inform policy design in order to accelerate productive transformation, economic diversification, and more inclusive and resilient job creation across Western Australia.

This Economic Complexity Report is organized in six sections, including this brief introduction. Section 2 explains the methodology of economic complexity, including its theoretical foundations and main concepts, as well as the adjustments that were required to obtain the required export data at a subnational level and incorporate the service sector to the analysis. Section 3 describes the structure of the WA economy, identifying its productive capacities and exploring its complexity profile. This is done at the state, regional, and city levels. Section 4 identifies industries with high potential and organizes them into groupings to capture important patterns among the opportunities. Section 5 contextualizes the opportunities further by identifying relevant viability and attractiveness factors that complement the complexity metrics and consider local conditions, as well as a criterion for regional participation in the state-wide diversification strategy. Finally, Section 6 summarizes the main findings of this report and discusses implications for Government of WA strategy and policy toward capitalizing on these revealed opportunities.

Yildirim, M.A., 2021. Sorting, Matching and Economic Complexity.Abstract
Assignment models in trade predict that countries with higher productivity levels are assortatively matched to industries that make better use of these higher levels. Here, we assume that the driver of productivity differences is the differential distribution of factors among countries. Utilizing such a structure, we define and estimate the average factor level (AFL) for countries and products using only the information about the production patterns. Interestingly, our estimates coincide with the complexity variables of (Hidalgo and Hausmann, 2009), providing an underlying economic rationale. We show that AFL is highly correlated with country-level characteristics and predictive of future economic growth.

El atlas que Pedro Sánchez debe consultar

February 24, 2021

The Atlas of Economic Complexity in El Mundo

Hay una herramienta económica que debería ocupar un lugar central en la definición de los proyectos que aspiren a los fondos europeos de recuperación y resiliencia que gestiona el Gobierno: el Atlas de Complejidad Económica, un proyecto de la Universidad de Harvard que coloca las capacidades industriales y los conocimientos técnicos de un país en el centro de sus perspectivas de crecimiento. Este mapa permitiría concentrar esfuerzos en sectores con alto potencial para el país.

Place-specific determinants of income gaps: New sub-national evidence from Mexico
Hausmann, R., Pietrobelli, C. & Santos, M.A., 2021. Place-specific determinants of income gaps: New sub-national evidence from Mexico. Journal of Business Research. Publisher's VersionAbstract
The literature on wage gaps between Chiapas and the rest of Mexico revolves around individual factors, such as education and ethnicity. Yet, twenty years after the Zapatista rebellion, the schooling gap has shrunk while the wage gap has widened, and we find no evidence indicating that Chiapas indigenes are worse-off than their likes elsewhere in Mexico. We explore a different hypothesis and argue that place-specific characteristics condition the choices and behaviors of individuals living in Chiapas and explain persisting income gaps. Most importantly, they limit the necessary investments at the firm level in dynamic capabilities. Based on census data, we calculate the economic complexity index, a measure of the knowledge agglomeration embedded in the economic activities at the municipal level. Economic complexity explains a larger fraction of the wage gap than any individual factor. Our results suggest that the problem is Chiapas, and not Chiapanecos.
Economic Development and the Accumulation of Know-how
Hausmann, R., 2016. Economic Development and the Accumulation of Know-how. Welsh Economic Review , 24 , pp. 13-16. Publisher's VersionAbstract
Economic development depends on the accumulation of know-how. The theory of economic growth has long emphasised the importance of something called technical progress, but what that is, and how it grows has not been well elucidated. Technical progress is really based on three separate aspects: tools, or embodied knowledge, recipes or blueprints or codified knowledge and know-how or tacit knowledge. While tools can be shipped and codes can be e-mailed, know-how exists only as a particular wiring of the brain and as such it is hard to move around. That is why the growth of know-how can easily become the binding constraint on the development process.
Hartog, M., Lopez-Cordova, J.E. & Neffke, F., 2020. Assessing Ukraine's Role in European Value Chains: A Gravity Equation-cum-Economic Complexity Analysis Approach.Abstract
We analyze Ukraine's opportunities to participate in European value chains, using traditional gravity models, combined with tools from Economic Complexity Analysis to study international trade (exports) and Foreign Direct Investment (FDI). This toolbox is shown to be predictive of the growth and entry of new exports to the EU's Single Market, as well as foreign direct investments from the Single Market in Ukraine. We find that Ukraine has suffered from a decline of trade with Russia, which has led not only to a quantitative but also a qualitative deterioration in Ukrainian exports. Connecting to western European value chains is in principle possible, with several opportunities in the automotive, information technology and other sectors. However, such a shift may lead to a spatial restructuring of the Ukrainian economy and a mismatch between the geographical supply of and demand for labor.
Hausmann, R., et al., 2020. La Riqueza Escondida de Loreto: Análisis de Complejidad Económica y Oportunidades de Diversificación Productiva.Abstract

El Laboratorio de Crecimiento de la Universidad de Harvard, bajo el auspicio de la Fundación Gordon and Betty Moore, ha desarrollado esta investigación para identificar las capacidades productivas existentes en Loreto y las actividades económicas con potencial para liderar la transformación estructural de su economía. Este reporte forma parte de una investigación más amplia – Transformación estructural y restricciones limitantes a la prosperidad en Loreto, Perú – que busca aportar insumos para el desarrollo de políticas públicas a escala nacional y regional que contribuyan a promover el desarrollo productivo y la prosperidad de la región, tomando en cuenta sus características particulares.

Gadgin Matha, S., Goldstein, P. & Lu, J., 2020. Air Transportation and Regional Economic Development: A Case Study for the New Airport in South Albania.Abstract

Considering the case of the proposed airport in Vlora, South Albania, this report analyzes the channels through which a new greenfield airport can contribute to regional economic development. In December 2019, the Government of Albania opened a call for offers to build a new airport in the south of the country. While there is evidence indicating that the airport could be commercially viable, this does not provide a grounded perspective on the channels by which the airport could boost the regional economy. To evaluate how the new airport would interact with existing and potential economic activities, this report evaluates three of the most important channels of impact by which the airport could serve as a promoter: (1) economic activities directly related to or promoted by airports, (2) the airport’s potential contribution to the region’s booming tourism sector and (3) the potential for the country’s development of air freight as a tool for export promotion. In each of these three cases, the report identifies complementary public goods or policies that could maximize the airport’s impact in the region.

The operation of the airport itself could stimulate a series of economic activities directly related to air traffic services. Airports have the ability to mold the economic structure of the places immediately around them, acting both as a consumer and as a supplier of air transport services. Not only activities related to transportation and logistics thrive around airports, but also a variety of manufacturing, trade and construction industries. Nevertheless, the agglomeration benefits of a successful aerotropolis are not guaranteed by the construction of an airport. For South Albania’s new airport to actualize its potential returns, integrated planning of the airport site will be required, with focus on real estate planification and provision of complementary infrastructure.

Establishing an airport in Vlora has the potential to spur regional development in South Albania through facilitating the growth of the tourism sector and its related activities. Albania’s tourism industry has seen strong growth in the last two decades, but still lags behind its potential. Albania only has a strong penetration in the tourism market of its neighboring markets, and the high seasonality of the tourism season further limits the sector’s growth. The establishment of an airport in South Albania would ease some of the tourism industry constraints tied to transportation into the country and region. Given the high reliance of the tourism industry on its many complementary inputs, more than one area of concern may have to be addressed for the impact of the new airport to be maximized. Facilitating transportation access around the South Albania region and specifically to tourist sites; preparing natural and cultural heritage sites for tourism use and expanding tourism infrastructure to accommodate potential growth are some of the interventions analyzed.

Airfreight infrastructure could in theory provide opportunities to improve the competitiveness of Albanian exports but developing a successful air cargo cluster is no simple task. An airport can facilitate an alternative mode of transport for specific types of goods and hence promote a country’s exports. In Albania’s case, not only existing textile and agriculture products could be competitively exported through air freight, but also air freight itself could improve Albania’s position to diversify into “nearby” industries, identified by the theory of Economic Complexity. Nevertheless, an effective air freight strategy does not and cannot uniquely depend on the simple availability of a nearby airport. Air cargo operations require both traffic volume that Albania may not be able to provide, as well as complementary cargo-specific infrastructure. Although the potential for air freight in South Albania could be high, it is by no means a safe bet nor does it imply with certainty significant impact in the immediate future.

Introducing the Atlas of Economic Complexity's Country Profiles

The creators of the Atlas of Economic Complexity - Harvard Growth Lab’s free online tool that translates economic growth research into policy actions to expand global prosperity - are proud to introduce: Country Profiles, a first-of-its-kind platform that revolutionizes how to think about economic strategy, policy, and investment opportunities for over 130 countries. Country Profiles invite users to take an interactive, step-by-step journey to analyze a country’s economic dynamics and future...

Read more about Introducing the Atlas of Economic Complexity's Country Profiles
Schetter, U., 2020. Quality Differentiation, Comparative Advantage, and International Specialization Across Products.Abstract

We introduce quality differentiation into a Ricardian model of international trade. We show that (1) quality differentiation allows industrialized countries to be active across the full board of products, complex and simple ones, while developing countries systematically specialize in simple products, in line with novel stylized facts. (2) Quality differentiation may thus help to explain why richer countries tend to be more diversified and why, increasingly over time, rich and poor countries tend to export the same products. (3) Quality differentiation implies that the gains from inter-product trade mostly accrue to developing countries. (4) Guided by our theory, we use a censored regression model to estimate the link between a country’s GDP per capita and its export quality. We find a much stronger relationship than when using OLS, in line with our theory.

Bahar, D., Rapoport, H. & Turati, R., 2020. Does Birthplace Diversity Affect Economic Complexity? Cross-country Evidence.Abstract
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.

Macroeconomic Stability & Long-Term Growth in Jordan

This project deployed research guided by Growth Diagnostic and Economic Complexity methodologies, first to understand constraints to growth and key opportunities and later to guide problem-specific research.

Hausmann, R., et al., 2019. A Roadmap for Investment Promotion and Export Diversification: The Case of Jordan.Abstract

Jordan faces a number of pressing economic challenges: low growth, high unemployment, rising debt levels, and continued vulnerability to regional shocks. After a decade of fast economic growth, the economy decelerated with the Global Financial Crisis of 2008-09. From then onwards, various external shocks have thrown its economy out of balance and prolonged the slowdown for over a decade now. Conflicts in neighboring countries have led to reduced demand from key export markets and cut off important trade routes. Foreign direct investment, which averaged 12.7% of gross domestic product (GDP) between 2003-2009, fell to 5.1% of GDP over the 2010-2017. Regional conflicts have interrupted the supply of gas from Egypt – forcing Jordan to import oil at a time of record prices, had a negative impact on tourism, and also provoked a massive influx of migrants and refugees. Failure to cope with 50.4% population growth between led to nine consecutive years (2008-2017) of negative growth rates in GDP per capita, resulting in a cumulative loss of 14.0% over the past decade (2009-2018). Debt to GDP ratios, which were at 55% by the end of 2009, have skyrocketed to 94%.

Over the previous five years Jordan has undertaken a significant process of fiscal consolidation. The resulting reduction in fiscal impulse is among the largest registered in the aftermath of the Financial Crises, third only to Greece and Jamaica, and above Portugal and Spain. Higher taxes, lower subsidies, and sharp reductions in public investment have in turn furthered the recession. Within a context of lower aggregate demand, more consolidation is needed to bring debt-to-GDP ratios back to normal. The only way to break that vicious cycle and restart inclusive growth is by leveraging on foreign markets, developing new exports and attracting investments aimed at increasing competitiveness and strengthening the external sector. The theory of economic complexity provides a solid base to identify opportunities with high potential for export diversification. It allows to identify the existing set of knowhow, skills and capacities as signaled by the products and services that Jordan is able to make, and to define existing and latent areas of comparative advantage that can be developed by redeploying them. Service sectors have been growing in importance within the Jordanian economy and will surely play an important role in export diversification. In order to account for that, we have developed an adjusted framework that allows to identify the most attractive export sectors including services.

Based on that adjusted framework, this report identifies export themes with a high potential to drive growth in Jordan while supporting increasing wage levels and delivering positive spillovers to the non-tradable economy. The general goal is to provide a roadmap with key elements of a strategy for Jordan to return to a high economic growth path that is consistent with its emerging comparative advantages.

Revised March 2020
Machine-learned patterns suggest that diversification drives economic development
Gomez, A., et al., 2020. Machine-learned patterns suggest that diversification drives economic development. Journal of the Royal Society Interface , 17 (162). Publisher's VersionAbstract
We combine a sequence of machine-learning techniques, together called Principal Smooth-Dynamics Analysis (PriSDA), to identify patterns in the dynamics of complex systems. Here, we deploy this method on the task of automating the development of new theory of economic growth. Traditionally, economic growth is modelled with a few aggregate quantities derived from simplified theoretical models. PriSDA, by contrast, identifies important quantities. Applied to 55 years of data on countries’ exports, PriSDA finds that what most distinguishes countries’ export baskets is their diversity, with extra weight assigned to more sophisticated products. The weights are consistent with previous measures of product complexity. The second dimension of variation is proficiency in machinery relative to agriculture. PriSDA then infers the dynamics of these two quantities and of per capita income. The inferred model predicts that diversification drives growth in income, that diversified middle-income countries will grow the fastest, and that countries will converge onto intermediate levels of income and specialization. PriSDA is generalizable and may illuminate dynamics of elusive quantities such as diversity and complexity in other natural and social systems.

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