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| 文章编号：1672-3104(2024)03-0113-14 |
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数字普惠金融对共同富裕影响的时空分析 |
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邓晓军1, 2, 3，邹静4，虞孟滔1 |
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（1. 浙江财经大学经济学院，浙江杭州，310018；
2. 浙江省新型重点专业智库杭州国际城市学研究中心，浙江杭州，311121；
3. 北京大学城市与环境学院，北京，100871；
4. 浙江财经大学金融学院，浙江杭州，310018） |
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| 摘 要： 从地理学的时空角度分析数字普惠金融对共同富裕的影响，不仅可为科学认识两者的关系提供一个新视角，还可为制定地区差异性的共同富裕政策提供决策参考。基于全国260个地级市2011—2020年的面板数据，在有效测度数字普惠金融与共同富裕水平的基础上，运用空间自相关、Dagum基尼系数、时空地理加权回归(GTWR)模型对其时空格局、时空差异与时空影响进行分析。研究结果表明：数字普惠金融与共同富裕的时空分布格局基本一致，均呈现逐年增长的趋势且空间聚集特征显著，热点区主要分布在东南地区；数字普惠金融与共同富裕各自的总体差异均较小，东部地区内部的共同富裕差异最大，且东、西部地区之间的差异最大，总体差异主要来源于区域之间的差异；数字普惠金融对共同富裕的影响具有显著的时空效应，呈现出带状分布且自西向东逐渐增加，最强的影响一直位于长三角地区。 |
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| 关键词： 共同富裕；数字普惠金融；时空格局；时空差异；时空影响 |
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Spatio-temporal analysis of the influence of digital inclusive finance on common prosperity |
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DENG Xiaojun1, 2, 3, ZOU Jing4, YU Mengtao1 |
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（1. School of Economics, Zhejiang University of Finance and Economics, Hangzhou 310018, China;
2. Hangzhou International Urbanology Research Center, New Type Key Think Tank of Zhejiang Province, Hangzhou 311121, China;
3. School of Urban and Environmental Sciences, Peking University, Beijing 100871, China;
4. School of Finance, Zhejiang University of Finance and Economics, Hangzhou 310018, China） |
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| Abstract: Analyzing the influence of digital inclusive finance on common prosperity from the viewpoint of space and time in geography, can provide not only a new perspective for scientifically understanding the relationship between digital inclusive finance and common prosperity, but also decision-making reference for formulating different regional policies of common prosperity. Based on the panel data of 260 prefecture level cities in China from 2011 to 2020, this paper effectively measures the level of digital inclusive finance and common prosperity, uses the global and local spatial autocorrelation analysis to detect their spatio-temporal distribution patterns, and then measures their spatio-temporal differences by using the Dagum Gini coefficient. Finally, the paper analyzes the spatio-temporal differences of the influence of digital inclusive finance on common prosperity by using geographically and temporally weighted regression (GTWR) model. The research results are shown as follows. Firstly, digital inclusive finance is basically in line with common prosperity, both presenting a growing trend year by year, and significant spatial clustering characteristics with hotspots largely distributed in the southeastern regions. Secondly, the overall differences between digital inclusive finance and common prosperity are relatively small, with the internal difference in digital financial inclusion within the central region being the smallest, while the internal difference in common prosperity within the eastern region being the largest, and the overall differences mainly originate from different regions. Thirdly, the influence of digital inclusive finance on common prosperity has spatio-temporal effect, revealing a belt-like distribution, which gradually increases from the west to the east, with the strongest impact consistently located in the Yangtze River Delta region. |
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Key words: common prosperity; digital inclusive finance; spatio-temporal pattern; spatio-temporal difference; spatio-temporal influence |
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