Prioritising infrastructure investments based on agglomeration externalities: A methodological framework with evidence from Peru

IF 2.4 3区 经济学 Q2 ECONOMICS
Pedro Herrera-Catalán , Coro Chasco , Vicente Royuela
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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.
基于集聚外部性优先考虑基础设施投资:一个方法框架,来自秘鲁的证据
本研究的目的是提出一种方法框架,在经济活动空间集中的地区战略性地优先考虑基础设施投资。这种集中产生集聚外部性,对经济增长和生产率产生积极影响。然而,旨在加强这些外部性的基础设施投资往往涉及公平与效率之间的权衡,给政策制定者带来了具有挑战性的资源配置决策。我们的框架包括三个连续的阶段。第一阶段涉及通过非参数统计方法识别工业集聚的地理模式。在第二阶段,空间计量经济模型估计将检查企业选址选择如何响应不同类别的基础设施:基本基础设施(水,污水处理,电力),市场可达性(主要是交通基础设施),以及获得生产投入(教育和金融基础设施)。最后阶段通过整合前几个阶段的研究结果,将基础设施优先级与行业特定需求和当地基础设施禀赋相结合,构建高回报地区的类型学。将这一方法应用于秘鲁的制造业,可以发现工业集聚模式存在巨大差异,大约三分之一的工业显示出统计上显著的集群。分析表明,基础设施禀赋和空间溢出效应对企业区位决策有显著影响。由此产生的类型突出了针对不同区域特征和集聚潜力的明确的基础设施投资重点。得出的主要结论是,系统的、基于证据的方法使政策制定者能够有效地针对基础设施投资,实现经济回报最大化,并减轻股权效率权衡。这种方法在面临严重基础设施不足和资源限制的发展中国家特别有价值。
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来源期刊
CiteScore
4.40
自引率
4.80%
发文量
58
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.
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