Loreto’s Hidden Wealth: Economic Complexity Analysis and Productive Diversification Opportunities

This report has three main objectives. Firstly, to identify and assess the agglomeration of know-how that is currently present in Loreto’s existing economic activities. Secondly, to define technological proximity metrics based on available data in order to identify the economic activities that generate the most value-added and which require similar productive capacities to those that are already present in the region. Finally, this paper seeks to identify those economic activities that are relatively “adjacent” to Loreto’s stock of productive know-how and which, therefore, have high potential to lead the productive transformation of its economy.

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.

Western Australia – Research Findings and Policy Recommendations

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 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 report is organized in six sections, including this brief introduction. Section 2 is an Executive Summary. Section 3 explains the methodologies of Growth Diagnostics and Economic Complexity, including its theoretical foundations and main concepts. Section 4 describes the main findings of the Economic Complexity Report, including a characterization of Western Australia’s complexity profile. This is done at the state, regional, and city levels. Additionally, this section identifies diversification opportunities with high potential and organizes them into groupings to capture important patterns among the opportunities. This section also contextualizes the opportunities further by identifying relevant viability and attractiveness factors that complement the complexity metrics and consider local conditions. Section 5 highlights the main findings of the Growth Perspective Report. This section describes the economic growth process of Western Australia — with a focus on the past two decades — and identifies several issues with the way that growth has occurred. This section highlights three key channels through which negative externalities have manifested: labor market imbalances, pro-cyclicality of fiscal policy, and a misalignment of public goods. The section provides perspectives on the ways in which each of these channels have hampered the quality of growth and explores the deep-rooted factors that underpin these adverse dynamics. Section 6 introduces a policy framework that can be leveraged by WA to capitalize on revealed diversification opportunities and address the factors that impact the quality of the growth process of the state.

Economic Complexity Report for Western Australia

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.

Growth Perspective on Western Australia

This Growth Perspective Report describes both the economic growth process of Western Australia — with a focus on the past two decades — and identifies several problematic issues with the way that growth has been structured. In particular, this report traces important ways in which policies applied during the boom and subsequent slowdown in growth over the last twenty years have exacerbated a number of self-reinforcing negative externalities of undiversified growth. The report analyzes three key channels through which negative externalities have manifested: labor market imbalances, pro-cyclicality of fiscal policy, and a misalignment of public goods. The report includes sections on each of these channels, which provide perspectives on the ways in which they have hampered the quality of growth and explore the reasons why problematic externalities have become self-reinforcing. In some cases, new issues have emerged in the most recent iteration of WA’s boom-slowdown cycle, but many issues have roots in the long-term growth history of WA.

Sorting, Matching and Economic Complexity

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.

Lockdown Fatigue: The Diminishing Effects of Quarantines on the Spread of COVID-19

Non-Pharmaceutical Interventions (NPIs) have been for most countries the key policy instrument utilized to contain the impact of the COVID-19 pandemic. In this article, we conduct an empirical analysis of the impact of these policies on the virus’ transmission and death toll, for a panel of 152 countries, from the start of the pandemic through December 31, 2020. We find that lockdowns tend to significantly reduce the spread of the virus and the number of related deaths. We also show that this benign impact declines over time: after four months of strict lockdown, NPIs have a significantly weaker contribution in terms of their effect in reducing COVID-19 related fatalities. Part of the fading effect of quarantines could be attributed to an increasing non-compliance with mobility restrictions, as reflected in our estimates of a declining effect of lockdowns on measures of actual mobility. However, we additionally find that a reduction in de facto mobility also exhibits a diminishing effect on health outcomes, which suggests that lockdown fatigues may have introduce broader hurdles to containment policies.

Podcast: Do Lockdowns Work? Eduardo Levy Yeyati discusses the research with Sam Munson of the Octavian Report.

Inequality, Openness, and Growth through Creative Destruction

We examine how inequality and openness interact in shaping the long-run growth prospects of developing countries. To this end, we develop a Schumpeterian growth model with heterogeneous households and non-homothetic preferences for quality. We show that inequality affects growth very differently in an open economy as opposed to a closed economy: If the economy is close to the technological frontier, the positive demand effect of inequality on growth found in closed-economy models may be amplified by international competition. In countries with a larger distance to the technology frontier, however, rich households satisfy their demand for high quality via importing, and the effect of inequality on growth is smaller than in a closed economy and may even be negative. We show that this theoretical prediction holds up in the data, both when considering growth in export quality at the industry level and when considering growth in GDP per capita.

The Economic Case for Global Vaccinations: An Epidemiological Model with International Production Networks

COVID-19 pandemic had a devastating effect on both lives and livelihoods in 2020. The arrival of effective vaccines can be a major game changer. However, vaccines are in short supply as of early 2021 and most of them are reserved for the advanced economies. We show that the global GDP loss of not inoculating all the countries, relative to a counterfactual of global vaccinations, is higher than the cost of manufacturing and distributing vaccines globally. We use an economic-epidemiological framework that combines a SIR model with international production and trade networks. Based on this framework, we estimate the costs for 65 countries and 35 sectors. Our estimates suggest that up to 49 percent of the global economic costs of the pandemic in 2021 are borne by the advanced economies even if they achieve universal vaccination in their own countries.

Uncertainty in the Search for New Exports

This paper explores the role that uncertainty plays in the emergence of new products or services for export in developing countries. Using a comparative case study method, I explore the degree to which those entrepreneurs who discovered new export activities faced uncertainty, and what the nature of this uncertainty was. I then document how this uncertainty, when present, was resolved, and how this affected subsequent diffusion of the newly discovered activity. The cases suggest two important dimensions of uncertainty in the emergence of new export activities: productivity characteristics and demand characteristics. A new activity could feature one, both, or neither types of uncertainty. The reasons for lower inherent uncertainty in these cases suggest a new theory of product similarity that is heterogeneous, multi-dimensional, and operating at a highly disaggregated level. Furthermore, the degree of uncertainty has implications for the expected ‘triggers’ of discovery, and these are born out in the cases. Finally, when uncertainty was present, its resolution often provided significant benefits to subsequent entrants, and the manner in which high uncertainty was overcome suggests potential avenues for policy.

Finance as the Binding Constraint to Growth

Finance forms a necessary input for production, one so central that it was placed atop the decision tree in the original Growth Diagnostics framework. As we argue, one of the thorniest findings from more than a decade of practice in conducting Growth Diagnostics has been that it is often more difficult to disprove a finance constraint than it is to prove one. Finance has often earned more attention than deserved when considering the many complementary inputs that must be present for production to take place and investments to be profitable. The challenge is in getting the diagnostic right, starting with the use of sound evidence to test for signals.

This paper revisits the starting question of the Growth Diagnostic framework: what does it mean for finance to be a constraint to economic growth? We provide an updated, detailed decision tree for finance, including a rethink of other sources of finance constraints, such as insufficient equity, that were not fully considered in the original decision tree. Our starting point to test for the presence of a finance constraint is to recognize that every financial system suffers from asymmetric information. While information is important for almost all assets in economic transactions, in financial markets, information is the asset. The inherent nature of information asymmetries to financial markets is, in part, what makes finance a focal point for constraint analysis, as greater size and sophistication of financial systems do not make a country immune to finance constraints.

We present three reasons that finance may be constrained: a) insufficient aggregate savings, due to a both inadequate domestic savings and restricted access to foreign borrowing, resulting in not enough loanable funds to finance good projects; b) inadequate institutions and tools for assessing and mitigating risk, that are unable to resolve information asymmetries, preventing markets’ access to savings; and c) problems in financial intermediation, where intermediation itself may be high-risk, monopolistic, or otherwise inefficient to result in insufficient bank lending, or may face borrowers who lack sufficient equity. The paper aims to share lessons learned in testing whether finance is constrained – or not, as well as the policy space to address a finance constraint. The policy discussion emphasizes the risk of misclassifying finance as a constraint when it is not binding on production, as the alternate response of overregulating financial markets can create new intermediation failures to the trust between savers and borrowers. Ultimately, we conclude that policy responses to a finance constraint must be as context specific as the syndrome presented by the diagnosis, where creating functional financial markets lies in preserving the delicate balance of trust between savers and borrowers.

This publication is part of the Mindbook Paper Series.

Last updated on 06/12/2025