A network-based economic growth model with endogenous migration and poverty traps

IF 1 3区 经济学 Q3 ECONOMICS Metroeconomica Pub Date : 2023-05-16 DOI:10.1111/meca.12428
Alberto Bucci, Davide La Torre, Danilo Liuzzi, Simone Marsiglio
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Abstract

We analyze a network-based macroeconomic framework with the objective to analyze the effects that endogenous migration choices may have on the mutual relation between population dynamics and capital accumulation. In our economy population size determines the labor input which, together with the available capital stock, shapes total output. Production takes place with a convex-concave technology allowing for a poverty trap. Migration depends on the origin-destination income differential and affects the fertility rate. Thus population growth ultimately turns out to be endogenously dependent upon economic conditions. Such feedback effects between population and capital dynamics give rise to possible heterogeneity in the patterns of economic development, allowing to explain the large variability in the level of development between regions we generally observe at world level. We show that a higher degree of economic interaction improves economic outcomes at global level by allowing poor economies to escape their poverty trap, suggesting thus that promoting the formation of tight relations between countries may be an important policy option to favor economic development.

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具有内生移民和贫困陷阱的基于网络的经济增长模型
我们分析了一个基于网络的宏观经济框架,目的是分析内生迁移选择对人口动态和资本积累之间相互关系的影响。在我们的经济中,人口规模决定了劳动投入,而劳动投入与可用的资本存量一起决定了总产出。生产采用凸凹技术,从而形成贫困陷阱。移民取决于原籍国和目的地的收入差异,并影响生育率。因此,人口增长最终被证明是内生地依赖于经济条件的。人口和资本动态之间的这种反馈效应可能导致经济发展模式的异质性,从而可以解释我们通常在世界一级观察到的区域之间发展水平的巨大差异。我们表明,更高程度的经济互动可以使贫穷经济体摆脱贫困陷阱,从而改善全球层面的经济结果,从而表明促进国家间紧密关系的形成可能是有利于经济发展的重要政策选择。
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来源期刊
Metroeconomica
Metroeconomica ECONOMICS-
CiteScore
2.40
自引率
15.40%
发文量
43
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