Estimating the capabilities, or inputs of production, that drive and constrain the economic development of urban areas has remained a challenging goal. We posit that capabilities are instantiated in the complexity and sophistication of urban activities, the know-how of individual workers, and the city-wide collective know-how. We derive a model that indicates how the value of these three quantities can be inferred from the probability that an individual in a city is employed in a given urban activity. We illustrate how to estimate empirically these variables using data on employment across industries and metropolitan statistical areas in the USA. We then show how the functional form of the probability function derived from our theory is statistically superior when compared with competing alternative models, and that it explains well-known results in the urban scaling and economic complexity literature. Finally, we show how the quantities are associated with metrics of economic performance, suggesting our theory can provide testable implications for why some cities are more prosperous than others.
Loreto es un lugar de contrastes. Es el departamento más grande del Perú, pero se encuentra entre los de menor densidad poblacional. Su capital, Iquitos, está más cerca de los estados fronterizos de Brasil y Colombia que de las capitales de sus regiones vecinas en el Perú - San Martín y Ucayali. Sólo se puede llegar a Iquitos por vía aérea o fluvial, lo que la convierte en una de las mayores ciudades del mundo sin acceso por carretera. Desde la fundación del departamento, la economía de Loreto ha dependido de la explotación de recursos naturales, desde el boom del caucho a finales del siglo XIX y principios del XX hasta la extracción petrolera y explotación de recursos forestales que predomina en nuestros días. Este modelo ha traído consigo daños ambientales significativos y ha producido un patrón de crecimiento lento y volátil, que ha abierto una brecha cada vez más amplia entre la economía de la región y la del resto del país. Entre 1980 y 2018, Loreto creció a una tasa promedio compuesta anual cuatro veces menor a la del resto del Perú. Es decir, mientras el resto del Perú triplicó el tamaño de su economía, la de Loreto creció algo menos que un tercio.
En la última década (2008-2018), la región también se ha venido distanciando de sus pares amazónicos en el país (Ucayali, San Martín y Madre de Dios), que han crecido a una tasa promedio anual cinco veces mayor. En este período, el ingreso promedio por habitante en Loreto ha pasado de ser tres cuartas partes del promedio nacional en 2008 a menos de la mitad para 2018. Además del rezago económico - o quizás como consecuencia de él -, Loreto también se ubica entre los departamentos con peores indicadores de desarrollo social, anemia y desnutrición infantil del Perú.
En este contexto, el Laboratorio de Crecimiento de la Universidad de Harvard se asoció con la Fundación Gordon and Betty Moore para desarrollar una investigación que proporcionara insumos y recomendaciones de política para acelerar el desarrollo de la región y generar prosperidad de forma sostenible.
Ethiopia will need to increase the diversity of its export basket to guarantee a sustainable growth path. Ethiopia has shown stellar growth performance throughout the last two decades, but, in this period, export growth has been insufficient to finance the country’s balance of payments needs. As argued in our Growth Diagnostic report,1 Ethiopia’s growth decelerated as a result of the increasing external imbalances which have resulted in a foreign exchange constraint. This macroeconomic imbalance is now slowing the rate of economic growth, job creation and poverty alleviation across the country. Although export growth will not be rapid enough to address the foreign exchange constraint on its own in the short-term, the only way for the country to achieve macroeconomic balance as it grows in the longer term is to increase its exports per capita. With only limited opportunities to expand its exports on the intensive margin, the Government of Ethiopia (GoE) will have to strategically support the diversification of its economy to expand its exports base.
This report applies the theory of Economic Complexity in order to describe the base of productive knowhow and assess the opportunities and constraints to diversification in Ethiopia’s economy. The theory of Economic Complexity offers tools to capture and quantitatively estimate the diversity and sophistication of productive knowhow in an economy and to analyze the potential to develop comparative advantage in new industries. These tools provide valuable inputs for informing diversification strategies and the use of state resources by providing rigorous information on the risks and potential returns of government industrial policies in support of different sectors.
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.
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.
What does it take for a sub-national unit to become an autonomous engine of growth? This issue is particularly relevant to large cities, as they tend to display larger and more complex know-how agglomerations and may have access to a broader set of policy tools. To approximate an answer to this question, specific to the case of Buenos Aires, Harvard’s Growth Lab engaged in a research project from December 2018 to June 2019, collaborating with the Center for Evidence-based Evaluation of Policies (CEPE) of Universidad Torcuato di Tella, and the Development Unit of the Secretary of Finance of the City of Buenos Aires. Together, we have developed research agenda that seeks to provide inputs for a policy plan aimed at decoupling Buenos Aires’s growth trajectory from the rest of Argentina’s.
By exploiting variation both in mortgage payoffs and mortgage interest rate resets, we find that a decline in mortgage payments induces a significant increase in nondurable goods spending, even when households have substantial amounts of liquidity. Following mortgage payoff, households increase consumption expenditures by 61% of the original payment. In comparison, households increase consumption by only 36% in response to a transitory payment adjustment induced by interest rate changes. Households with a higher payment-to-income ratio have a significantly lower marginal propensity to consume (MPC). These results have practical implications for policy markers seeking to design consumption boosting policies and are important for understanding how changes in monetary policy may affect consumer spending patterns.
We use aggregated and anonymized information based on international expenditures through corporate payment cards to map the network of global business travel. We combine this network with information on the industrial composition and export baskets of national economies. The business travel network helps to predict which economic activities will grow in a country, which new activities will develop and which old activities will be abandoned. In statistical terms, business travel has the most substantial impact among a range of bilateral relationships between countries, such as trade, foreign direct investments and migration. Moreover, our analysis suggests that this impact is causal: business travel from countries specializing in a specific industry causes growth in that economic activity in the destination country. Our interpretation of this is that business travel helps to diffuse knowledge, and we use our estimates to assess which countries contribute or benefit the most from the diffusion of knowledge through global business travel.
Saudi Arabia is home to the world’s third largest migrant population. Under mounting pressure to increase the private sector employment of Saudis during the last decade, a series of nationalization policies on the labor force have been imposed since late 2011. In this paper, we study how the first nationalization policy, Nitaqat, affected the overall labor market and non-oil firms in the private sector, especially exporting firms. Our rich and novel data allow us to assess the effect of the policy on a wide set of outcomes: employment decisions by composition and size, the output and productivity of exporting firms, labor costs, and exit from the market. Using a difference-in-difference analysis, we compare the 2011 to 2012 change in outcomes between firms above and firms below the threshold required for the minimum share of Saudi workers in a firm. Our results suggest that the policy succeeded in encouraging firms to increase the share of Saudis in private firms. It also increased the share of Saudi women in the workforce, suggesting that the policy had a positive effect on increasing female labor force participation. However, these gains came at a very high cost to firms: our findings suggest that the policy led to a reduced firm size, reduced productivity and output of exporting firms, increased wage bill, increased share of low-skilled Saudi workers, and higher firm exit rates.
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.
What explains contemporary developed-world populism? A largely-overlooked hypothesis, advanced herein, is economic unfairness. This idea holds that humans do not simply care about the magnitudes of final outcomes such as losses or inequalities. They care deeply about whether each individual’s economic outcomes occur for fair reasons. Thus citizens turn to populism when they do not get the economic opportunities and outcomes they think they fairly deserve. A series of cross-sectional regressions show that low social mobility – an important type of economic unfairness – consistently correlates with the geography of populism, both within and across developed countries. Conversely, income and wealth inequality do not; and neither do the prominent cultural hypotheses of immigrant stocks, social media use, nor the share of seniors in the population. Collectively, this evidence underlines the importance of economic fairness, and suggests that academics and policymakers should pay greater attention to normative, moral questions about the economy.
This study presents evidence of tax avoidance in Buenos Aires, Argentina. I exploit a break in the tax scheme of the most controversial tax, Ingresos Brutos (gross income), between the city and the greater area, which are otherwise identical law and regulation-wise for the studied population. When possible, workers would rather travel longer distances to their jobs than face the tax burden. Given that this type of avoidance is costly, results suggest that Ingresos Brutos might be acting as a binding constraint to growth for businesses.
This publication summarizes the outcomes and lessons learned from the Fall 2017 course titled “Emergent Urbanism: Planning and Design Visions for the City of Hermosillo, Mexico” (ADV-9146). Taught by professors Diane Davis and Felipe Vera, this course asked a group of 12 students to design a set of projects that could lay the groundwork for a sustainable future for the city of Hermosillo—an emerging city located in northwest Mexico and the capital of the state of Sonora. Part of a larger initiative funded by the Inter-American Development Bank and the North-American Development Bank in collaboration with Harvard University, ideas developed for this class were the product of collaboration between faculty and students at the Graduate School of Design, the Kennedy School’s Center for International Development and the T.H. Chan School of Public Health.
Written by Miguel Angel Santos and Douglas Barrios—two Growth Lab research fellows—the fourth chapter titled “Is There Life After Ford?” focuses on Hermosillo’s economic competitiveness and, specifically, the reasons behind the city’s economic stagnation. It sees the city’s overreliance on the automobile industry as a primary concern. Based on two methodologies developed at the Growth Lab—the Growth Diagnostic and the Economic Complexity Analysis—this piece proposes alternative pathways for Hermosillo’s future economic growth.
Este trabajo propone una metodología de descomposición estadística para describir en forma coherente las dimensiones del empleo femenino según la estructura del mercado laboral y según la estructura productiva de las ciudades. La metodología se utiliza para analizar el empleo femenino “pleno y decente” en 23 ciudades colombianas entre 2008 y 2016. Según la estructura laboral, se encuentra que la brecha de género en el empleo pleno y decente se debe a diferencias en la participación laboral y en la formalidad del empleo, más que a diferencias entre hombres y mujeres en el desempleo o en la dedicación al empleo. Según la estructura productiva, se encuentra que la orientación por sexo y la composición del empleo sectorial de las ciudades tienen influencia modesta en las diferencias entre ciudades en la generación de empleo femenino pleno y decente, ya que éstas resultan sobre todo de las diferencias en la capacidad de generación de para ambos sexos. La metodología también se usa para analizar los cambios en el período. Se sugieren posibles extensiones de la metodología propuesta e implicaciones para futuras investigaciones. - - -
Female Employment in Colombian Cities: A Method of Statistical Description
This paper proposes a methodology of statistical decomposition to describe in a coherent way the dimensions of female employment according to the structure of the labor market and according to the productive structure of cities. The methodology is used to analyze "full and decent" female employment in 23 Colombian cities between 2008 and 2016. According to the labor structure, it is found that the gender gap in full and decent employment is due to differences in labor participation and in the formality of employment, rather than differences between men and women in unemployment or dedication to employment. According to the productive structure, it is found that the orientation by sex and the composition of sectoral employment in cities have a modest influence on the differences between cities in the generation of full and decent female employment, since these are mainly the result of differences in cities’ capacities to generate employment for both sexes. The methodology is also used to analyze changes in the period. Potential extensions of the proposed methodology and implications for future research are suggested.
Can “full and productive employment for all” be achieved by 2030 as envisaged by the United Nations Sustainable Development Goals? This paper assesses the issue for the largest 62 Colombian cities using social security administrative records between 2008 and 2015, which show that the larger the city, the higher its formal occupation rate. This is explained by the fact that formal employment creation is restricted by the availability of the diverse skills needed in complex sectors. Since skill accumulation is a gradual path-dependent process, future formal employment by city can be forecasted using either ordinary least square regression results or machine learning algorithms. The results show that the share of working population in formal employment will increase between 13 and nearly 32 percent points between 2015 and 2030, which is substantial but still insufficient to achieve the goal. Results are broadly consistent across methods for the larger cities, but not the smaller ones. For these, the machine learning method provides nuanced forecasts which may help further explorations into the relation between complexity and formal employment at the city level.
Production is shaped by capability requirements of products and availability of these capabilities across locations. We propose a capabilities based production model and an empirical strategy to measure product sophistication and location’s production ability. We apply our framework to international trade data, and employment data in the US, recovering measures of production ability for countries and cities, and sophistication of products and industries. We show that both country and city level measures have a strong correlation with income, and economic growth at different time horizons. Product sophistication is positively correlated with measures like education and training needed in the industry. Our model-based estimations also predict the diversification patterns through the extensive margin.
This paper studies the unintended economic consequences of increases in violence following the Mexican Drug War. We study the effects on exports in municipalities with different levels of exposure to violence after the policy. A focus on exports allows us to control for demand shocks by comparing exports of the same product to the same country of destination. Building on the close elections identification strategy proposed by Dell (2015), we show that municipalities that are exogenously exposed to the Drug War experience a 40% decrease in export growth on the in- tensive margin. Large exporters suffer larger effects, along with exports of more complex, capital intensive, and skill intensive products. Finally, using firm level data, we provide evidence consistent with violence increasing marginal exporting costs.
Since 2003, the GDP per capita of Tabasco has consistently figured among the 4 largest in the country. However, this level of economic activity has not translated into an equally favorable performance in other social welfare metrics. According to CONEVAL, the Tabasco poverty rate in 2016 was 50.9%, seven percentage points higher than the national rate (43.6%). On the other hand, the average monthly income of the workers of the state is in the 40th percentile of all the states.
This discrepancy can be explained because the mining activity, despite accumulating only 3% of jobs, represents more than 50% of the state's GDP. If we only consider non-oil GDP, we have that the GDP per capita of the state has tended to be located around the country's median, and for 2016 it was in the 30th percentile nationwide.
Este estudio busca identificar las capacidades productivas de Tabasco a partir de un análisis de la composición de sus exportaciones y su empleo basándose en la perspectiva de la complejidad económica. Asimismo, busca identificar productos potenciales que requieran una base de conocimientos productivos similar a la que ya tiene Tabasco y que le permita mejorar su complejidad económica actual y prospectiva.
Para tales efectos, primero se explora la evolución en el tiempo del valor de las exportaciones de Tabasco y la composición de las mismas, así como de los principales productos de exportación. En sentido, se tiene que las exportaciones de Tabasco están determinadas por el sector petrolero. Los envíos de petróleo representan alrededor del 97% de las exportaciones estatales y explican más del 90% del aumento de las exportaciones de la última década.
En este estudio se consideraron los productos priorizados en el Reporte de Complejidad Económica de Tabasco y se procedió a evaluar su potencial a partir de un conjunto de consideraciones de mercado. Luego, se agregó el potencial de cada producto en distintas colecciones de producto, y se seleccionó una industria cuya estimulación y desarrollo constituya una apuesta de desarrollo prometedora el estado. Respecto de éste se detallaron algunas estadísticas generales como una forma de evaluar su potencial de crecimiento e impacto para la economía local, estatal y nacional.
Para el objeto de este estudio, el sector industrial escogido para el análisis de cuellos de botella fue el de “Químicos” y, más puntualmente, los productos: “Agentes de limpieza orgánicos (ex. Jabón)”, “Aprestos y aceleradores de tintura”, “Mezclas de sustancias odoríferas”, “Placas fotográficas” y “Tinta”. El desarrollo de esta colección de productos representa una importante oportunidad, la que, a la fecha, los productores mexicanos no han podido aprovechar del todo. Sin embargo, estos productos han presentado un gran dinamismo dentro de México en los años recientes. Entre 2004 y 2014, las exportaciones de México en estos productos se han duplicado, el empleo en los sectores asociados a estos productos ha aumentado un 20%, y el salario promedio en estos sectores ha aumentado entre 40% y 50%.