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.
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.
We propose a structural alternative to the Economic Complexity Index (ECI, Hidalgo and Hausmann 2009; Hausmann et al. 2011) that ranks countries by their complexity. This ranking is tied to comparative advantages. Hence, it reveals information different from GDP per capita on the deep underlying economic capabilities of countries. Our analysis proceeds in three main steps: (i) We first consider a simplified trade model that is centered on the assumption that countries’ global exports are log-supermodular (Costinot, 2009a), and show that a variant of the ECI correctly ranks countries (and products) by their complexity. This model provides a general theoretical framework for ranking nodes of a weighted (bipartite) graph according to some under- lying unobservable characteristic. (ii) We then embed a structure of log-supermodular productivities into a multi-product Eaton and Kortum (2002)-model, and show how our main insights from the simplified trade model apply to this richer set-up. (iii) We finally implement our structural ranking of economic complexity. The derived ranking is robust and remarkably similar to the one based on the original ECI.
In the decade 1999-2009, Jordan experienced an impressive growth acceleration, tripling its exports and increasing income per capita by 38%. Since then, a number of external shocks that include the Global Financial Crisis (2008-2009), the Arab Spring (2011), the Syrian Civil War (2011), and the emergence of the Islamic State (2014) have affected Jordan in significant ways and thrown its economy out of balance. Jordan’s debt-to-GDP ratio has ballooned from 55% (2009) to 94% (2018). The economy has continued to grow amidst massive fiscal adjustment and balance of payments constraints, but the large increase in population – by 50% between 2008 and 2017 – driven by massive waves of refugees has resulted in a 12% cumulative loss in income per capita (2010-2017). Moving forward, debt sustainability will require not only continued fiscal consolidation but also faster growth and international support to keep interest payments on the debt contained. We have developed an innovative framework to align Jordan’s growth strategy with its changing factor endowments. The framework incorporates service industries into an Economic Complexity analysis, utilizing the Dun and Bradstreet database, together with an evaluation of the evolution of Jordan’s comparative advantages over time. Combining several tools to identify critical constraints faced by sectors with the greatest potential, we have produced a roadmap with key elements of a strategy for Jordan to return to faster, more sustainable and more inclusive growth that is consistent with its emerging comparative advantages.
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 el Diagnóstico de Crecimiento de Baja California se describieron las principales tendencias recientes del desempeño económico del estado. En esta subsección se resumen los principales hallazgos de dicho reporte, a modo de motivación para este estudio1. Baja California se ha ubicado consistentemente entre los estados más prósperos de México. Sin embargo, también destaca por presentar uno de los crecimientos más volátiles. La entidad fue la de menor crecimiento no-petrolero entre las 32 del país entre 2003-2010, sin embargo, desde entonces, ha crecido por encima de la media del país y a la par de otras entidades fronterizas. ¿Por qué la economía de Baja California ha presentado un desempeño más volátil? ¿Qué elementos propiciaron un ciclo de colapso y recuperación más acentuado que en otros lugares comparables? ¿Cuáles son las condiciones locales que amplifican la vulnerabilidad del estado y lo dejan más expuesto a crisis externas?
The literature on income 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 between Chiapas and the other Mexican entities has shrunk while the income 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. Based on census data, we calculate the economic complexity index, a measure of the knowledge agglomeration embedded in the economic activities at a municipal level in Mexico. Economic complexity explains a larger fraction of the income gap than any individual factor. Our results suggest that chiapanecos are not the problem, the problem is Chiapas. These results hold when we extend our analysis to Mexico’s thirty-one federal entities, suggesting that place-specific determinants that have been overlooked in both the literature and policy, have a key role in the determination of income gaps.
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.
In August 2016, the Government of Sri Lanka (GoSL) and the Building State Capability program of CID convened five teams of civil servants, tasking them with solving issues related to investment and export promotion. One of these teams, the “Targeting Team,” took on the task of formulating and executing a plan to identify promising new economic activities for investment and export promotion in Sri Lanka. With the assistance of CID’s Growth Lab, the Targeting Team assembled and analyzed over 100 variables from 22 datasets, studying all tradable activities and 29 representative subsectors. Their analysis highlighted the potential of investment related to electronics, electrical equipment and machinery (including automotive products), as well as tourism. Ultimately, the team’s recommendations were incorporated in GoSL strategies for investment promotion, export development, and economic diplomacy; extensions of the research were also used to help plan new export processing zones and target potential anchor investors.
This report summarizes the methodology and findings of the Targeting Team, including scorecards for each of the sectors studied.
The central question we will explore in this document is: Can we anticipate the opportunities that Colombian cities have to export specific products based on their existing productive capabilities?
In the following pages, we report a collection of results, analyses, and advances in which we assess how industry-related capabilities affect export possibilities. Our final goal will be to create a single measure that synthesizes all the knowledge and existing information about the productive capabilities of each city, both “horizontal” and “vertical”, and that quantifies how competitive a city can be if it aims at exporting a given product it does not yet export.
This document is broken in two main efforts: First, we want to understand the “mechanics” of diversification processes. And second, we want to be able to provide recommendations of products that are not produced in cities, but should be. The first effort requires a multitude of analyses, each trying to describe the characteristics of firms, of cities, and of the mechanisms that expand the export baskets of places. The second effort requires the development of a statistical model that is accurate when predicting the appearances of products in cities. These two efforts, explaining and predicting, are complementary, but different.
Explanations that lack the power of accurately predicting the future are useless in practice; predictions of phenomena for which we lack understanding are dangerous. But together they provide a unified story that can inform policy decisions.
By request of the Government of Sri Lanka, CID reviewed edible oils exports in September 2016 based on the latest available international trade data. The analysis identified the products and markets key to Sri Lanka’s edible oils sector and compared with competitor countries. Although edible oils are non-complex products that make up a small share of the country’s total exports (0.5% in 2014), they help to diversify Sri Lankan exports and may serve as stepping stones toward further diversification into other more complex exports in the future. Coconut oil, which made up 86% of Sri Lanka’s edible oils exports in 2014, is particularly promising, with exports growing by more than a factor of 10 in just five years and much room to grow based on global demand.
This paper characterizes the evolution of the manufacturing and industrial export structure of Ireland since 1995 within the framework of Economic Complexity and the Product Space. We observe a high level of specialisation in Ireland’s export structure, coupled with high income per capita as compared to the complexity level of its industrial activities (as captured by its Economic Complexity Index). We identify a dual structure within the economy, with domestic and foreign-owned exporters exhibiting distinct characteristics. In the latter case, we observe a recent consolidation and reduction in complexity level by the foreign-owned high tech pharmaceuticals and electronics sectors, with limited evidence of spill-overs leading to growth of domestic firms in these sectors. This contrasts with a dynamic and growing domestic food and agriculture sector, which is well positioned for continued expansion of Ireland’s indigenous activities into more complex goods. Finally, we illustrate this framework as a tool for policy-makers by identifying some potential new sectors that share many inputs with Ireland’s current domestic capability base, and could increase Ireland’s complexity level for future growth.
Labor informality, associated with low productivity and lack of access to social security services, dogs developing countries around the world. Rates of labor (in)formality, however, vary widely within countries. This paper presents a new stylized fact, namely the systematic positive relationship between the rate of labor formality and the working age population in cities. We hypothesize that this phenomenon occurs through the emergence of complex economic activities: as cities become larger, labor is allocated into increasingly complex industries as firms combine complementary capabilities derived from a more diverse pool of workers. Using data from Colombia, we use a network-based model to show that the technological proximity (derived from worker transitions between industry pairs) of current industries in a city to potential new complex industries governs the growth of the formal sector in the city. The mechanism proposed has robust strong predictive power, and fares better than alternative explanations of (in)formality.
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 size1. We propose a theory that unifies models of economic complexity2,3 and cultural evolution4 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.
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.
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.