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长江经济带商贸流通业发展时空分异特征与影响因素研究——基于长江经济带11省市时空面板数据 被引量:3

Study on Spatial-temporal Pattern and Influencing Factors of Business Circulation Industry of the Yangtze River Economic Zone——Based on the spatial and temporal panel data of 11 provinces and cities in the yangtze river economic zone
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摘要 商贸流通业是国民经济发展的重要支柱,体现我国区域经济的发展水平,利用长江经济带11省市的时空面板数据,研究其商贸流通业发展时空分异特征及影响因素.研究发现,长江经济带商贸流通业发展存在显著的时空差异性,地理分布上呈现以"三极"(成渝城市群、长江中游城市群、长江三角洲城市群)为中心,区域性递减的梯度特征.商贸流通业的发展受到国内生产总值、产业结构、人口分布等诸多因素的影响,其中,国内生产总值和第三产业的影响最大,依托国家对长江经济带发展的政策支持,加快经济结构的调整优化,能有效促进商贸流通业的快速发展. The commercial circulation industry is an important pillar of national economic development,which reflects the development level of China’s regional economy.This paper uses the spatial-temporal panel data of 11 provinces and cities in the Yangtze river economic belt to study the spatial-temporal differentiation characteristics and influencing factors of the development of commercial circulation industry.It is found that the development of commercial circulation industry in the Yangtze river economic belt is significantly different in time and space,and the geographical distribution is characterized by a gradient of regional decline centered on the "three poles"(chengdu-chongqing urban agglomeration,the urban agglomeration in the middle reaches of the Yangtze river,and the urban agglomeration in the Yangtze river delta).Commerce by gross domestic product(GDP),the development of industrial structure,population distribution and so on many factors,among them,the gross domestic product(GDP) and the influence of the third industry is the largest,relying on the national policy support to the development of the Yangtze river economic belt,speed up the adjustment of economic structure optimization,can effectively promote the rapid development of commerce.
作者 李艳伟 仝力月 何任杰 LI Yan-wei;TONG Li-yue;HE Ren-jie(Civil Aviation University of China College of Economics and Management,Tainjin 300300,China)
出处 《数学的实践与认识》 2021年第18期270-280,共11页 Mathematics in Practice and Theory
关键词 商贸流通 时空分异 空间回归 面板数据 commercial circulation spatiotemporal differentiation spatial regression panel data
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