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市场潜能与地区收入差距--基于空间视角 被引量:5

Market Potential and Regional Income Gap:Based on the Spatial Perspective
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摘要 基于空间经济学理论,构建两类空间面板模型,理论分析并实证检验市场潜能对地区间整体及地区内城乡结构性收入差距的影响。结果表明:市场潜能对地区间整体收入水平的提高具有显著促进作用,市场潜能较高的地区将获得更强的经济发展动力,从而该地区居民收入水平也就更高;收入水平呈现空间集聚特征,不同地区之间市场潜能对收入增长的影响存在显著异质性,且这一差距在较大程度上解释了中国不同地区之间尤其是东西部之间的收入差距;市场潜能与城乡结构性收入差距之间表现出先缩小后扩大的U型影响,其拐点在7.02处,对于尚未超过该拐点的地区而言提高市场潜能仍然是改善地区内城乡结构性收入差距的重要手段。 Based on the theory of spatial economics,two types of spatial panel models were constructed to theoretically analyze and empirically test the impact of market potential on the overall inter-regional and intra-regional urban-rural structural income gap.The results show as follows.The market potential has a significant promoting effect on the improvement of the overall income level between regions,and the regions with high market potential will get stronger economic development impetus,so that the income level of residents in this region will be higher.The income level is characterized by spatial agglomeration,and there is significant heterogeneity in the influence of market potential on the income growth among different regions.Moreover,this gap largely explains the income gap between different regions in China,especially between the east and the west.The u-shaped influence between market potential and urban-rural structural income gap is first narrowed and then expanded.The inflection point is 7.02.For provinces and regions that have not yet exceeded this inflection point,improving market potential is still an important means to improve the urban-rural structural income gap within the region.
作者 蓝管秀锋 吴亚婷 匡贤明 Lan Guanxiufeng;Wu Yating;Kuang Xianming(School of Business Administration,Northeastern University,Shenyang 110819,China;School of Marxism,Hainan Normal University,Haikou 571158,China)
出处 《技术经济》 CSSCI 北大核心 2021年第7期73-83,共11页 Journal of Technology Economics
基金 教育部人文社会科学青年基金项目“新常态下经济波动与产业结构的内在机制研究:基于复杂网络与非线性DSGE分析”(17YJC790104)。
关键词 市场潜能 收入不平衡 新经济地理分析 空间关联分析 market potential income inequality new economic geography analysis spatial correlation
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