An empirical examination of the effect of infrastructure on economic development: a large and heterogeneous panel data analysis
An empirical examination of the effect of infrastructure on economic development: a large and heterogeneous panel data analysis
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DOI：
10.1080/00036846.2022.2110563
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发表时间：
2022-09
影响因子：
2.2
通讯作者：
Jude I. Iziga;S. Takagi
中科院分区：
文献类型：
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作者：
Jude I. Iziga;S. Takagi
基础设施推动经济发展。本研究通过分析130个国家过去20年的大型异质面板数据，调查基础设施和熟练劳动力对总产出的影响程度。我们实现了一个自回归分布滞后（ARDL）模型，以提取经济增长，基础设施和熟练劳动力之间的长期生产技术关系。熟练劳动力和基础设施的互补性有利于以技能为导向的经济增长。技能差异造成了世界各地工人工资的差异，从而扩大了收入的不平等，从而扩大了生活水平的不平等。相反，以前的研究已经使用的框架，假设生产函数的同质性在各国之间，我们提出了一种方法来识别潜在的国家集团的基础上，长期的生产技术嵌入在ARDL模型，使用面板模型中的未知组结构的识别程序。我们选择的最佳数量的组，通过实施一个新的信息准则下的多个滋扰参数和估计系数的生产函数为每个国家组。基于国家组的互补性估计和估计的国家分类，我们发现，基础设施的影响产生了集团异质性的增长跨度在估计的生产关系的国家。
ABSTRACT Infrastructure drives economic development. This study investigates to what extent infrastructure and skilled labour affect aggregate output, by analysing large heterogeneous panel data of 130 countries over two decades. We implement an autoregressive distributed lag (ARDL) model to extract the long-run production technology relationship among economic growth, infrastructure, and skilled labour. The complementarity of skilled labour and infrastructure is conducive to skill-biased economic growth. Skill differences account for disparities among workers’ wages worldwide, thereby widening inequalities in income and consequently, living standards. Contrary to previous studies that have used frameworks assuming production function homogeneity across countries, we propose a methodology to identify latent country groups based on the long-run production technology embedded in the ARDL model, using an identification procedure of the unknown group structure in panel models. We select the optimal number of groups by implementing a new information criterion under multiple nuisance parameters and estimate the coefficients of the production functions for each country group. Based on the complementarity estimates of country groups and the estimated country classifications, we find that the effects of infrastructure generated grouped-heterogeneity of growth span across countries in estimated production relationships.