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An empirical analysis of night-time light data based on the gravity model

机译:基于引力模型的夜间光数据实证分析

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This article aims to explore the feasibility of applying night-time light data to the study of trade. Based on 61 countries' panel data from 1995 to 2012, this research used night-time light data, as the substitute for GDP, to study trade development based on the traditional gravity model. The method of ordinary least squares, Poisson pseudo-maximum-likelihood and two-stage least squares were used. The results show that geographical distance, country borders and regional agreements have a significant effect on China's trade with other Belt and Road countries, which verifies the validity of trade research based on night-time light data analysis. Additionally, comparisons reveal the trade trends predicted by night-time light data from 1996 to 2012, were highly consistent with the actual data. This article stands as the first study to apply night-time light data to the gravity model in the research on trade between China and other Belt and Road countries. Breaking new ground, this research uses night-time light data as an economic indicator to study trade, in combination with micro foundations and the latest findings of the gravity model. Thus, this article deepens the understanding of trade analysis and contributing to the field of related researches.
机译:本文旨在探讨将夜间照明数据应用于贸易研究的可行性。该研究基于1995年至2012年的61个国家的面板数据,使用夜间光数据代替GDP来研究基于传统引力模型的贸易发展。使用普通最小二乘法,泊松拟极大似然法和两阶段最小二乘法。结果表明,地理距离,国家边界和区域协议对中国与“一带一路”沿线国家的贸易产生了重大影响,这基于夜间光数据分析验证了贸易研究的有效性。此外,比较显示1996年至2012年夜间光数据预测的贸易趋势与实际数据高度一致。本文是中国与“一带一路”沿线国家贸易研究中首次将夜间光数据应用于重力模型的研究。这项研究开创了新的领域,结合了微型基础和重力模型的最新发现,将夜间光数据用作研究贸易的经济指标。因此,本文加深了对贸易分析的理解,并为相关研究领域做出了贡献。

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