Analysing public debt in the Mexican states: Spatial convergence, regional drivers and policy recommendations

IF 2.4 3区 经济学 Q2 ECONOMICS Papers in Regional Science Pub Date : 2023-08-01 DOI:10.1111/pirs.12748
Mihaela Simionescu , Javier Cifuentes‐Faura
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Abstract

Considering that public debt is a priority for policymakers in Mexico, the aim of this paper is to examine the convergence or divergence in debt per capita and main drivers of debt in the 32 Mexican states in the period 2006–2021. The results support significant spatial correlation of debt/cap across states. Cross‐section and spatial dynamic regressions are used to analyse absolute and conditional beta‐convergence in debt per capita, and the divergence assumption is documented. The panel data models based on the method‐of‐moments quantile models and pooled mean group estimators indicate that poverty is the main determinant of debt, whereas foreign direct investment is insufficient to support the reduction in debt in the long run. These results provide evidence for a set of policy recommendations to ensure a sustainable debt path in Mexico.
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墨西哥各州公共债务分析:空间趋同、区域驱动因素和政策建议
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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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