Yang Li

This report sets out to understand if the economy of the State of Wyoming is positioned to grow into the future. To do this, the report begins by investigating the past. To know where the state economy could be headed, and how that direction may be improved, it is critical to understand how the state developed the economic structure and drivers that it has today. Thus, Wyoming’s economic trajectory is explored over the long, medium, and short term. From this investigation, we find that Wyoming faces an overall growth problem, but we also find a high degree of variation in economic engines and growth prospects across the state. The problem that this report identifies is that the composition of economic activities is not positioned to sustain a high quality of life across all parts of the state.

“Across all parts of the state” is an essential part of the problem statement for Wyoming. While some local and regional economies in the state are growing and bumping up against identifiable constraints, other local and regional economies are experiencing sustained contractions and will require new sources of growth in order to retain (or expand) population and high quality of life. Since economic dynamics vary significantly across the state, analysis is conducted in as much geographic detail as possible. By combining historical and geographic dimensions of growth, this report aims to inform pathways for sustained and inclusive prosperity across the of Wyoming.

Related project: Pathways to Prosperity in Wyoming

A growing body of research documents that the size and growth of an industry in a place depends on how much related activity is found there. This fact is commonly referred to as the "principle of relatedness." However, there is no consensus on why we observe the principle of relatedness, how best to determine which industries are related or how this empirical regularity can help inform local industrial policy. We perform a structured search over tens of thousands of specifications to identify robust – in terms of out-of-sample predictions – ways to determine how well industries fit the local economies of US cities. To do so, we use data that allow us to derive relatedness from observing which industries co-occur in the portfolios of establishments, firms, cities and countries. Different portfolios yield different relatedness matrices, each of which help predict the size and growth of local industries. However, our specification search not only identifes ways to improve the performance of such predictions, but also reveals new facts about the principle of relatedness and important trade-offs between predictive performance and interpretability of relatedness patterns. We use these insights to deepen our theoretical understanding of what underlies path-dependent development in cities and expand existing policy frameworks that rely on inter-industry relatedness analysis.

Loreto is a place full of contrasts. Although it is the largest department in Peru, it is one of the least populated in the country. Its capital, Iquitos, is closer to Brazil and Colombia’s border states than it is to the capitals of its neighboring regions in Peru - San Martin and Ucayali. Iquitos can only be reached by air or river, making it one of the largest cities in the world without road access. Since its foundation, Loreto's economy has depended on the exploitation of natural resources: from the Amazon rubber boom at the end of the 19th and the beginning of the 20th centuries, to the oil extraction and exploitation of forest resources that predominate today. This model has brought with it significant environmental damage and has produced a pattern of slow and volatile growth, which has opened an ever-widening gap between the economy of the region and that of the rest of the country. Between 1980 and 2018, Loreto grew at an average compound annual growth rate four times lower than the rest of Peru. Otherwise stated, while the rest of Peru has tripled the size of its economy, Loreto increased it by just under one-third.

Within the last decade (2008-2018), the region has distanced itself from its Amazonian peers in the country (Ucayali, San Martín, and Madre de Dios), which have grown at an average annual growth rate five times higher. Loreto’s average per capita income fell from three-quarters of the national average in 2008 to less than half of it by 2018. In addition to - or perhaps as a consequence of - its economic challenges, Loreto is also among the departments with the worst indicators of social development, including the highest levels of anemia and child malnutrition in Peru.

In this context, the Growth Lab at Harvard University partnered with the Gordon and Betty Moore Foundation to develop a research study that would provide inputs and policy recommendations to boost the development of the region and foster sustainable prosperity.

The war in Ukraine has been waging for a month now, not only causing human suffering on a massive scale, but also sending economic tremors that are felt far beyond the country’s borders. Since the collapse of the Soviet Union, Ukraine’s economy has been pulled between its strong historical ties with the Russian economy and the opportunities in forging new ties with the European Union (EU). With the help of Metroverse, an online tool for analyzing the local economies of over a thousand cities worldwide, and of the data that power this tool, we analyze the evolving economic relations between Ukraine, Russia and the West and weigh the consequences of their disruption.

Explore: The Economic Geography of the War in Ukraine 

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Bloomberg Opinion: Markets Need to Lose the ‘Peace in Our Time’ Reflex

In the short-term, economies shift preferentially into new activities that are related to ones they currently do. Such a tendency should have implications for the nature of an economy’s long-term development as well. We explore these implications using a dynamical network model of an economy’s movement into new activities. First, we theoretically derive a pair of coordinates that summarize long-term structural change. One coordinate captures overall ability across activities, the other captures an economy’s composition. Second, we show empirically how these two measures intuitively summarize a variety of facts of long-term economic development. Third, we observe that our measures resemble complexity metrics, though our route to these metrics differs significantly from previous ones. In total, our framework represents a dynamical approach that bridges short-and long-term descriptions of structural change, and suggests how different branches of economic complexity analysis could potentially fit together in one framework.

The Growth Lab at Harvard University, with funding provided by the Gordon and Betty Moore Foundation, has undertaken this investigation with the aim of identifying the existing productive capacities in Loreto, as well as the economic activities with potential to drive the structural transformation of its economy. This paper is part of a broader investigation – Promoting Sustainable Economic Growth and Structural Transformation in the Amazon Region of Loreto, Peru – which seeks to contribute with context-specific inputs for the development of national and sub-national public policies that promote productive development and prosperity in this Peruvian state.

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.

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.