Economic Complexity

Cities thrive through the diversity of their occupants because the availability of complementary skills enables firms in the formal sector to grow, delivering increasingly sophisticated products and services. The appearance of new industries is path dependent in that new economic activities build on existing strengths, leading cities to both diversify and specialize in distinct areas. Hence, the location of necessary capabilities, and in particular the distance between firms and people with the skills they need, is key to the success of urban agglomerations. Using data for Colombia, this paper assesses the extent to which cities benefit from skills and capabilities available in their surrounding catchment areas. Without assuming a prioria a definition for cities, we sequentially agglomerate the 96 urban municipalities larger than 50,000 people based on commuting time. We show that a level of agglomeration equivalent to between 45 and 75 minutes of commuting time, corresponding to between 62 and 43 cities, maximizes the impact that the availability of skills has on the ability of agglomerations to generate formal employment. Smaller urban municipalities stand to gain more in the process of agglomeration. A range of policy implications are discussed.

The prevalence of many urban phenomena changes systematically with population size ¹ . We propose a theory that unifies models of economic complexity ^2,3 and cultural evolution ⁴ to derive urban scaling. The theory accounts for the difference in scaling exponents and average prevalence across phenomena, as well as the difference in the variance within phenomena across cities of similar size. The central ideas are that a number of necessary complementary factors must be simultaneously present for a phenomenon to occur, and that the diversity of factors is logarithmically related to population size. The model reveals that phenomena that require more factors will be less prevalent, scale more superlinearly and show larger variance across cities of similar size. The theory applies to data on education, employment, innovation, disease and crime, and it entails the ability to predict the prevalence of a phenomenon across cities, given information about the prevalence in a single city.

Related Content: The Urban Theory of Everything

Harvard Magazine: Recipes for Thriving Cities

The economy of Panama has thrived for more than a decade, based on a modern service sector on the activities surrounding the Canal. Panama has inserted its economy into global value chains, providing competitive services in logistics, ship handling, financial intermediation, insurance, communication and trade. The expansion of the modern service sector required significant non-residential construction, including office buildings, commercial outlets, warehouses, and even shopping malls. Large public infrastructure projects such as the expansion of the Canal, the Metro, and Tocumen airport, have provided an additional drive and paved the road for productive diversification. But productive diversification does not spread randomly. A country diversifies towards activities that demand similar capacities than the ones already in place. Current capabilities and know-how can be recombined and redeployed into new, adjacent activities, of higher value added.

This report identifies productive capabilities already in place in Panama, as signaled by the variety and ubiquity of products and services that is already able to manufacture and provide competitively. Once there, we move on to identifying opportunities for productive diversification based on technological proximity. As a result, we provide a roadmap for potential diversification opportunities both at the national and sub-national level.

In order to appropriately understand the sports sector, its magnitude, embeddedness in the economy, and strategic value, it is necessary to develop a framework through which to study it. Having a standardized and comprehensive methodology to analyze the sports sector will allow policymakers, academics, and other stakeholders to look at the sports sector at a new level of detail and rigor.

Previous work has outlined the numerous data quality and aggregation challenges currently present in the sports economy literature (Russell, Barrios & Andrews 2016). In light of these challenges, this paper attempts to build on the suggested categorization of the sports industry and develop a sound strategy to analyze the sector through an empirical exercise in a specific context: the Mexican Economy.

To this end, we first attempt to understand how connected the sports sector is to other activities in the economy and identify which sectors share similar know-how with m1. Additionally, we attempt to determine the relative magnitude of the sports sector through variables such as value added and employment.

Similarly, we consider study the spatial considerations around sports related economic activities at a subnational level. The advancement of spatial economics has allowed us to understand a new dimension of how an economic sector can develop and how characteristics inherent to a given geography can play a role in determining why some activities end up appearing and developing in the places they do.

Lastly, some descriptive and regression analysis efforts in this paper enabled us to better understand and characterize the sports sector. Such exercises allow us to learn what type of workers typically comprises the sports sector, and whether such profile is different across the different categories of sports activities. Among the variables analyzed I the descriptive exercise, we can look at education level and wages–among others–of those who work on this sector, and compare them to the overall employed population.

This paper is structured as follows: Section 1 will make the case for how publicly available data in Mexico meets the level of detail required for this type of study. Section 2 will look at the way in which the sports sector is nested in the overall economy. Section 3 studies the magnitude of the sports sector through different metrics. Section 4 looks at the type of jobs that comprise the sports sector. Section 5 looks at the differences in intensity of sports activities and early work on its potential causal roots. Section 6 provides some conclusions.
 

Economists have long discussed the negative effect of Dutch disease episodes on the non-resource tradable sector as a whole, but little has been said on its impact on the composition of the non-resource export sector. This paper fills this gap by exploring to what extent concentration of a country’s non-resource export basket is determined by their exports of natural resources. We present a theoretical framework that shows how upward pressure in wages caused by a resource windfall results in higher export concentration. We then document two robust empirical findings consistent with the theory. First, using data on discovery of oil and gas fields and of commodity prices as sources of exogenous variation, we find that countries with larger shares of natural resources in exports have more concentrated non-resource export baskets. Second, we find capital-intensive exports tend to dominate the export basket of countries prone to Dutch disease episodes.

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Chiapas es el estado más pobre de México, y también el menos diversificado en su estructura productiva. Según los hallazgos de este reporte, esa dualidad no es una coincidencia casual. La escasa complejidad económica de Chiapas, medida tanto por la escasa sofisticación de sus exportaciones como por la exigua diversidad en la composición de su empleo, es uno de los factores asociados a sus bajos niveles de ingreso y escaso crecimiento. Para cambiar el patrón de crecimiento de Chiapas es necesario cambiar su estructura de producción, haciéndola más compleja y sofisticada.

Afortunadamente, existe un enorme potencial para que diferentes lugares de Chiapas se muevan de manera gradual hacia productos e industrias de mayor sofisticación, con base en el conocimiento con el que ya cuentan hoy en día. No todos los lugares tienen el mismo potencial; la diversidad de capacidades productivas que existe en México se reproduce hacia el interior de Chiapas de manera fractal. Nuestros análisis indican que la variedad de niveles de ingresos hacia adentro de las regiones sigue siendo mayor que las diferencias entre los promedios de esas regiones. Esta característica justifica la utilización de un enfoque municipal, centrado en aquellas zonas urbanas de mayor población, con suficiente diversidad y sofisticación como para justificar un análisis de productos e industrias “adyacentes” de mayor complejidad que requieran capacidades similares a las ya existentes. Este enfoque reconoce que la esperanza en el corto plazo para muchos ciudadanos que no habitan en la vecindad de las regiones más sofisticadas del estado está en la posibilidad de moverse gradualmente hacia niveles de productividad agrícola más alta.

En este reporte se identifican cuáles son los productos e industrias que ofrecen las mejores posibilidades de diversificación productiva para incrementar la complejidad económica de cuatro de los municipios más complejos de Chiapas, considerando sus capacidades iniciales. Como resultado, se presenta un resumen diferenciado de las principales posibilidades y los retos que debe superar cada lugar para capitalizarlas. Comitán de Domínguez debe centrarse en resolver restricciones logísticas asociadas a conflictos sociales para capitalizar sus posibilidades como destino turístico de alto nivel, y desarrollar una base de fabricación de artículos para el hogar y textiles. San Cristóbal de las Casas está bien posicionado para aprovechar las habilidades desarrolladas en la producción de artesanías y transferirlas a la de textiles sofisticados, en adición a nuevas oportunidades en recubrimientos metálicos, y fabricación de alimentos y bebidas. Para materializar el potencial de Tuxtla Gutiérrez se requiere reconvertir ese amplio sector de servicios que responde a la demanda creada por el gasto público en la capital del estado, en una base de manufacturas más diversa.  Los principales candidatos para movilizar esa transformación productiva son los sectores de textiles y peletería, procesamiento de alimentos, y ciertas categorías particulares de maquinaria por línea de producción.

De todas las regiones de Chiapas, Tapachula es la que posee mayor potencial para expandir su base exportadora hacia productos de mayor complejidad. La región concentra la mayoría de las exportaciones del estado, y cuenta con la creación de la Zona Económica Especial (ZEE) y su parque industrial que permiten abordar nuevas capacidades productivas más complejas y adyacentes. Se identifica el potencial de los productos plásticos, de pinturas y películas, y de metalurgia, de relojes y equipos de soldadura, como unas oportunidades únicas en el estado para promover su transformación productiva.

Nuestro reporte concluye con una reflexión sobre la necesidad de traducir la identificación de los potenciales de cada una de las regiones en una realidad distinta, en una economía diversa, compleja, y próspera. La transformación productiva de Chiapas comenzará por la mejora de la productividad agrícola y la creación de oportunidades en las zonas urbanas que permiten aglomeraciones de conocimientos diversos en firmas complejas. El crecimiento económico en Chiapas no requiere innovación, sino más bien de que el estado aprenda del resto de México a producir de manera eficiente los bienes que el resto del país ya produce.  

Esta posibilidad exige a su vez de la existencia de un sector público capaz de convocar a firmas existentes, y otras que ya operan en el resto de México, para inaugurar nuevas facilidades de producción en Chiapas, combinando nuevas tecnologías y conocimientos con los que ya existen en la región. Así, se va desarrollando de forma gradual la densidad de su tejido productivo y diversidad económica. En última instancia, la clave para capitalizar el enorme potencial de Chiapas está en un cambio en la orientación del discurso productivo, que priorice la diversificación de la economía y la conquista gradual de sectores de mayor complejidad como herramienta para promover el crecimiento inclusivo.

How can Rwanda, which currently has one of the lowest levels of income and exports per capita in the world, grow and diversify its economy in presence of significant constraints? We analyze Rwanda's historical growth and trade performance and find that Rwanda's high transportation costs and limited productive knowledge have held back greater export development and have resulted in excessive rural density. Three basic commodities – coffee, tea, and tin – made up more than 80 percent of the country's exports through its history and still drive the bulk of export growth today. Given Rwanda’s high population density and associated land scarcity, these traditional exports cannot create enough jobs for its growing population, or sustainably drive future growth. Rwanda needs new, scalable activities in urban areas. In this report, we identify a strategy for greater diversification of exports in Rwanda that circumvents the key constraints and is separately tailored for regional and global export destinations. Our results identify more than 100 tradable products that lie at Rwanda's knowledge frontier, are not intensive in Rwanda's scarce resources, and economize on transportation costs. Our analysis produces a vision of a more diversified Rwanda, which can be used as a guide for investment promotion decisions. We illustrate an approach that can be applied to other settings in order to identify opportunities for export diversification that take seriously local constraints and external market opportunities.

Income per capita in Uganda has doubled in the last 20 years. This remarkable performance has been buoyed by significant aid flows and large external imbalances. Economic growth has been concentrated in non-tradable activities leading to growing external imbalances and a growing gap between rural and urban incomes. Future growth will depend on achieving sufficient export dynamism. In addition, growth faces a number of other challenges: low urbanization rate, rapid rural population growth and high dependency ratios. However, both the dependency ratio and fertility rates have begun to decline recently. Rural areas are also severely overcrowded with low-productivity subsistence agriculture as a pervasive form of production. Commercial agriculture has great possibilities to increase output, but as the sector improves its access to capital, inputs and technology it will shed jobs rather than create them.

These challenges combined tell us that future growth in Uganda will require a rapid rate of export growth and economic diversification. The country faces the prospect of an oil boom of uncertain size and timing. It could represent an important stepping stone to achieve external sustainability, expanded income and infrastructure and a greater internal market. However, as with all oil booms, the challenges include avoiding the Dutch disease, managing the inevitable volatility in oil incomes and avoiding inefficient specialization in oil. Policies that set targets for the non-oil deficit could help manage some of these effects, but a conscious strategy to diversify would still be needed.

The best strategy is therefore to use the additional oil revenue and accompanying investments to promote a diversification strategy that is sustainable. To determine how to encourage such a transformation, we draw on a new line of research that demonstrates how development seldom implies producing more of the same. Instead, as countries grow, they tend to move into new industries, while they also increase productivity in existing sectors. In this report, we analyze what those new industries might be for Uganda.

To do so, we first look to those products which balance the desire to increase the diversification and complexity of production, while not over-stretching existing capabilities. These include mostly agricultural inputs, such as agrochemicals and food processing. In addition, Uganda should concurrently develop more complex industries, such as construction materials, that are reasonably within reach of current capabilities and will be in great demand in the context of an oil boom. Here, the fact that Uganda is landlocked and faces high import costs will provide natural protection to the expanding demand in Uganda and neighboring countries. We conclude with a discussion of the government policies that will support Uganda in developing new tradable industries.

How does an economy grow? What is economic complexity? How do we determine where countries can start to diversify their production? The growth theories of Ricardo Hausmann and others at CID are explained in this 5 page briefing.

Over the past two centuries, mankind has accomplished what used to be unthinkable. When we look back at our long list of achievements, it is easy to focus on the most audacious of them, such as our conquest of the skies and the moon. Our lives, however, have been made easier and more prosperous by a large number of more modest, yet crucially important feats. Think of electric bulbs, telephones, cars, personal computers, antibiotics, TVs, refrigerators, watches and water heaters. Think of the many innovations that benefit us despite our minimal awareness of them, such as advances in port management, electric power distribution, agrochemicals and water purification. This progress was possible because we got smarter. During the past two centuries, the amount of productive knowledge we hold expanded dramatically. This was not, however, an individual phenomenon. It was a collective phenomenon. As individuals we are not much more capable than our ancestors, but as societies we have developed the ability to make all that we have mentioned – and much, much more.

For up-to-date datasets and new visualizations, visit atlas.cid.harvard.edu.

Much of the analysis of economic growth has focused on the study of aggregate output. Here, we deviate from this tradition and look instead at the structure of output embodied in the network connecting countries to the products that they export. We characterize this network using four structural features: the negative relationship between the diversification of a country and the average ubiquity of its exports, and the non-normal distributions for product ubiquity, country diversification and product co-export. We model the structure of the network by assuming that products require a large number of non-tradable inputs, or capabilities, and that countries differ in the completeness of the set of capabilities they have. We solve the model assuming that the probability that a country has a capability and that a product requires a capability are constant and calibrate it to the data to find that it accounts well for all of the network features except for the heterogeneity in the distribution of country diversification. In the light of the model, this is evidence of a large heterogeneity in the distribution of capabilities across countries. Finally, we show that the model implies that the increase in diversification that is expected from the accumulation of a small number of capabilities is small for countries that have a few of them and large for those with many. This implies that the forces that help drive divergence in product diversity increase with the complexity of the global economy when capabilities travel poorly.

Countries differ markedly in the diversification of their exports. Products differ in the number of countries that export them, which we define as their ubiquity. We document a new stylized fact in the global pattern of exports: there is a systematic relationship between the diversification of a country’s exports and the ubiquity of its products. We argue that this fact is not implied by current theories of international trade and show that it is not a trivial consequence of the heterogeneity in the level of diversification of countries or of the heterogeneity in the ubiquity of products. We account for this stylized fact by constructing a simple model that assumes that each product requires a potentially large number of non-tradable inputs, which we call capabilities, and that a country can only make the products for which it has all the requisite capabilities. Products differ in the number and specific nature of the capabilities they require, as countries differ in the number/nature of capabilities they have. Products that require more capabilities will be accessible to fewer countries (i.e., will be less ubiquitous), while countries that have more capabilities will have what is required to make more products (i.e., will be more diversified). Our model implies that the return to the accumulation of new capabilities increases exponentially with the number of capabilities already available in a country. Moreover, we find that the convexity of the increase in diversification associated with the accumulation of a new capability increases when either the total number of capabilities that exist in the world increases or the average complexity of products, defined as the number of capabilities products require, increases. This convexity defines what we term as aquiescence trap, or a trap of economic stasis: countries with few capabilities will have negligible or no return to the accumulation of more capabilities, while at the same time countries with many capabilities will experience large returns - in terms of increased diversification - to the accumulation of additional capabilities. We calibrate the model to three different sets of empirical data and show that the derived functional forms reproduce the empirically observed distributions of product ubiquity, the relationship between the diversification of countries and the average ubiquity of the products they export, and the distribution of the probability that two products are co-exported. This calibration suggests that the global economy is composed of a relatively large number of capabilities – between 23 and 80, depending on the level of disaggregation of the data – and that products require on average a relatively large fraction of these capabilities in order to be produced. The conclusion of this calibration is that the world exists in a regime where the quiescence trap is strong.

For Adam Smith, wealth was related to the division of labor. As people and firms specialize in different activities, economic effi- ciency increases, suggesting that development is associated with an increase in the number of individual activities and with the complexity that emerges from the interactions between them. Here we develop a view of economic growth and development that gives a central role to the complexity of a country’s economy by interpreting trade data as a bipartite network in which countries are connected to the products they export, and show that it is possible to quantify the complexity of a country’s economy by characterizing the structure of this network. Furthermore, we show that the measures of complexity we derive are correlated with a country’s level of income, and that deviations from this relationship are predictive of future growth. This suggests that countries tend to converge to the level of income dictated by the complexity of their productive structures, indicating that development efforts should focus on generating the conditions that would allow complexity to emerge to generate sustained growth and prosperity.

For Adam Smith, wealth was related to the division of labor. As people and firms specialize in different activities, economic efficiency increases, suggesting that development is associated with an increase in the number of individual activities and with the complexity that emerges from the interactions between them. Here we develop a view of economic growth and development that gives a central role to the complexity of a country's economy by interpreting trade data as a bipartite network in which countries are connected to the products they export, and show that it is possible to quantify the complexity of a country's economy by characterizing the structure of this network. Furthermore, we show that the measures of complexity we derive are correlated with a country's level of income, and that deviations from this relationship are predictive of future growth. This suggests that countries tend to converge to the level of income dictated by the complexity of their productive structures, indicating that development efforts should focus on generating the conditions that would allow complexity to emerge in order to generate sustained growth and prosperity.