| 摘要: |
| 本文采用2000—2015年长江经济带11省市8个现代服务业的相关数据，分别使用Ellison-Glaeser指数和平均集中率方法从行业和地区角度测度长江经济带现代服务业的空间集聚水平，在使用Moran指数I检验现代服务业集聚存在空间相关性基础之上，建立空间固定模型对影响现代服务业集聚程度的因素进行验证和分析。研究表明：长江经济带租赁和商业服务业集聚程度最高、房地产行业最低；上海市现代服务业集聚水平最高，贵州最低；政府干预对长江经济带现代服务业平均集中率有抑制作用，基础设施、科技水平则有促进作用，信息化水平对其影响不确定。 |
| 关键词: 长江经济带 现代服务业 空间集聚 空间基尼系数 行业集聚 |
| DOI： |
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| Analysis of Spatial Effect of Modern Service Industry Agglomeration and Its Influencing Factors：An Empirical Study Based on the Yangtze River Economic Belt |
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GAO Cong cong，GUO Feng
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| Abstract: |
| Using the relative data from 8 modern service industries in 11 provinces of the Yangtze River Economic Belt from 2000 to 2015，this paper measured the spatial agglomeration level of the modern service industry from the perspective of an industry and a region by Ellison-Glaeser index and the average concentration rate method.Based on the Moran index I test for the spatial correlation of modern service industry agglomeration，this article established a spatial fixed model to verify and analyze the factors affecting the concentration of modern service industry.Research shows that the leasing industry and business service industry are the most concentrated in the Yangtze River Economic Belt and the lowest agglomeration is the real estate industry.Shanghai's modern service industry has the highest level of concentration and Guizhou's is the lowest.Government intervention has an inhibitory effect on the average concentration rate of modern service industry in the Yangtze River Economic Belt.Infrastructure，science and technology levels have a positive effect，however，the level of informationization is uncertain about its impact. |
| Key words: Yangtze River Economic Belt modern service industry spatial agglomeration spatial Gini coefficient industrial agglomeration |
