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中国省际市场分割程度的时空格局及影响因素
引用本文:王建康.中国省际市场分割程度的时空格局及影响因素[J].地理科学,2018,38(12):1988-1997.
作者姓名:王建康
作者单位:华侨大学经济发展与改革研究院,福建 厦门 361021
基金项目:国家社会科学基金项目(18CJL009)资助
摘    要:基于2001~2015年中国省级面板数据,测算省级市场分割综合指数,揭示区域市场分割时空格局及演变规律,构建空间计量经济模型分析省际市场分割的影响因素。研究发现:全国市场分割程度总体波动式减小,市场分割程度呈现西高东低的趋势;区域市场分割程度具有明显的空间自相关性,且集聚现象越发明显; 国有经济比重在一定程度上加速本地区市场分割过程,而城镇化进程、财政支出、对外贸易、技术差距和基础设施建设则有助于消除本地区市场分割。

关 键 词:市场分割  时空格局  空间面板模型  中国省际  
收稿时间:2017-12-10
修稿时间:2018-02-21

Spatial-temporal Patterns and Influencing Factors of Market Segmentation in China
Jiankang Wang.Spatial-temporal Patterns and Influencing Factors of Market Segmentation in China[J].Scientia Geographica Sinica,2018,38(12):1988-1997.
Authors:Jiankang Wang
Institution:Institute of Economic Development and Reform, Huaqiao University, Xiamen 361021, Fujian, China
Abstract:Market segmentation is an inevitable phenomenon with regional economy imbalance, the influences of which are two-sided. In the short term, market segmentation can promote regional economic development to some extent, but in the long run, it goes against to efficient allocation of resources which is a barrier to economic transform, and also a challenge to enhance the national comprehensive strength. Based on China's provincial panel data from 2001 to 2015, the comprehensive index of provincial market segmentation is calculated through entropy method from the four aspects of commodity market segmentation, the level of internet development, the degree of marketization of economy and the economy of urban agglomerations. With the visualization of the degree of market segmentation by ArcGIS, the spatial and temporal pattern and evolution law of regional market segmentation are revealed. Then, this article analyses the influence factors of the degree of market segmentation by constructing the spatial econometric model. The results showed that: The degree of market segmentation fluctuation is reduced on the whole, while in the process of integration. At the region level, the degree of market segmentation is decreasing from the west to the east, and the provinces with higher levels mainly distributed in the south and north of the Yangtze River, the provinces with moderate degree distributed in the central region and the provinces with lower degree are mainly distributed in the eastern coastal areas. The segmentation degree of regional market has obvious spatial autocorrelation, and the phenomenon of spatial agglomeration is becoming more and more remarkable. To sum up, higher level of proportion of state-owned economy, higher the market segmentation index will be, on the contrary, higher urbanization, fiscal expenditure, foreign trade, technology gap and infrastructure construction will be conductive eliminate market segmentation regionally.
Keywords:market segmentation  spatial-temporal pattern  spatial panel model  inter provincial of China  
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