One of the most fundamental issues worldwide is the economic interdependence of countries which affects their economic growth. Some new growth theorists such as Mankiw et al., Islam, Ertur and Koch, Lee, Yu and Yu Ho et al. consider geographical proximity and trade as spatial variables. This study aims to investigate the spatial effects of geographical distance on economic growth using the spatial dynamic panel data model and the spatial cross section data model for the period 1992–2016 in selected Asian countries. The findings demonstrate that the effect of spatial spillover or spatial dependency is one of the main causes of economic growth spillovers. In the spatial dynamic panel data model, log of gross domestic product (GDP), gross fixed capital formation and growth rate of labor force had negative, positive and negative impacts on economic growth, respectively. In the spatial cross-sectional data models including human capital, log of GDP, gross fixed capital formation and growth rate of labor force had negative impacts on economic growth, while in a model without human capital log of GDP, gross fixed capital formation and growth rate of labor force, respectively, had positive and negative effects on economic growth.

中文翻译：

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增长溢出：某些亚洲国家的空间动态面板数据和空间横截面数据方法

全世界最根本的问题之一是影响各国经济增长的国家之间的经济相互依存关系。一些新的增长理论家，例如Mankiw等，伊斯兰教，Ertur和Koch，Lee，Yu和Yu Ho等。将地理位置和贸易视为空间变量。这项研究旨在利用空间动态面板数据模型和1992-2016年间部分亚洲国家的空间横截面数据模型，研究地理距离对经济增长的空间影响。研究结果表明，空间溢出或空间依赖性的影响是经济增长溢出的主要原因之一。在空间动态面板数据模型中，国内生产总值，固定资本形成总额和劳动力增长率的对数为负，对经济增长的正面和负面影响。在包括人力资本，GDP的对数，固定资本形成总额和劳动力增长率的空间横截面数据模型中，对经济增长具有负面影响，而在没有人力资本的GDP记录对数中，固定资本形成和增长总额的模型中劳动力比率分别对经济增长产生正面和负面影响。