Pedro Herrera-Catalán , Coro Chasco , Vicente Royuela
{"title":"Prioritising infrastructure investments based on agglomeration externalities: A methodological framework with evidence from Peru","authors":"Pedro Herrera-Catalán , Coro Chasco , Vicente Royuela","doi":"10.1016/j.pirs.2025.100104","DOIUrl":null,"url":null,"abstract":"<div><div>The purpose of this research is to propose a methodological framework for strategically prioritising infrastructure investments in areas with significant spatial concentration of economic activity. Such concentration generates agglomeration externalities, positively influencing economic growth and productivity. However, infrastructure investments aimed at reinforcing these externalities often involve equity-efficiency trade-offs, presenting policymakers with challenging resource-allocation decisions. Our framework comprises three sequential stages. The first stage involves identifying geographical patterns of industrial agglomeration through a non-parametric statistical methodology. In the second stage, spatial econometric models are estimated to examine how firm location choices respond to different categories of infrastructure: basic infrastructure (water, sewerage, electricity), accessibility to markets (primarily transport infrastructure), and access to production inputs (education and financial infrastructure). The final stage constructs a typology of high-return areas by integrating the findings from previous stages, aligning infrastructure priorities with industry-specific needs and local infrastructure endowments. Applying this methodology to manufacturing industries in Peru reveals substantial variation in industrial agglomeration patterns, with approximately one-third of industries showing statistically significant clustering. The analysis demonstrates that infrastructure endowments and spatial spillover effects considerably influence firm location decisions. The resulting typology highlights clear infrastructure investment priorities tailored to distinct regional characteristics and agglomeration potentials. The major conclusion drawn is that a systematic, evidence-based methodology enables policymakers to effectively target infrastructure investments, maximising economic returns and mitigating equity-efficiency trade-offs. This approach is particularly valuable in developing countries facing significant infrastructure deficits and resource constraints.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"104 4","pages":"Article 100104"},"PeriodicalIF":2.4000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Papers in Regional Science","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1056819025000260","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
The purpose of this research is to propose a methodological framework for strategically prioritising infrastructure investments in areas with significant spatial concentration of economic activity. Such concentration generates agglomeration externalities, positively influencing economic growth and productivity. However, infrastructure investments aimed at reinforcing these externalities often involve equity-efficiency trade-offs, presenting policymakers with challenging resource-allocation decisions. Our framework comprises three sequential stages. The first stage involves identifying geographical patterns of industrial agglomeration through a non-parametric statistical methodology. In the second stage, spatial econometric models are estimated to examine how firm location choices respond to different categories of infrastructure: basic infrastructure (water, sewerage, electricity), accessibility to markets (primarily transport infrastructure), and access to production inputs (education and financial infrastructure). The final stage constructs a typology of high-return areas by integrating the findings from previous stages, aligning infrastructure priorities with industry-specific needs and local infrastructure endowments. Applying this methodology to manufacturing industries in Peru reveals substantial variation in industrial agglomeration patterns, with approximately one-third of industries showing statistically significant clustering. The analysis demonstrates that infrastructure endowments and spatial spillover effects considerably influence firm location decisions. The resulting typology highlights clear infrastructure investment priorities tailored to distinct regional characteristics and agglomeration potentials. The major conclusion drawn is that a systematic, evidence-based methodology enables policymakers to effectively target infrastructure investments, maximising economic returns and mitigating equity-efficiency trade-offs. This approach is particularly valuable in developing countries facing significant infrastructure deficits and resource constraints.
期刊介绍:
Regional Science is the official journal of the Regional Science Association International. It encourages high quality scholarship on a broad range of topics in the field of regional science. These topics include, but are not limited to, behavioral modeling of location, transportation, and migration decisions, land use and urban development, interindustry analysis, environmental and ecological analysis, resource management, urban and regional policy analysis, geographical information systems, and spatial statistics. The journal publishes papers that make a new contribution to the theory, methods and models related to urban and regional (or spatial) matters.