Against the backdrop of increasing concentration of population and production activities,the economic connections between regions are becoming increasingly close.Regional economy has become a complex system of mutual infiltration and interweaving.The spatial network of regional economic connections has become an important path to narrow regional economic disparities and achieve convergence of living standards.There are various problems in regional economic development,and the issue of uneven development between regions is prominent.Based on the inter-regional input-output coefficient,this paper constructs a regional economic correlation model-gravity coefficient model,and measures the economic correlation between regions based on this model.Firstly,we measure the economic correlation between regions and the impact of regional industries on inter regional trade at the regional and industrial levels.And compare and analyze the changes in regional economic correlation from 2012 to 2017.Secondly,based on the gross domestic product,labor force and population and leading industries,the clustering analysis of each province is carried out.Based on the regional economic correlation index,the 31 provinces and cities are clustered according to the ability to be attracted,the ability to attract and the level of resultant force,and the aggregation structure and distribution differences of the four indicators of regional development level,labor force population,leading industry and economic correlation intensity in geographical space are compared and analyzed.Thirdly,the time of the fastest train between the capitals of the two provinces is used as the time distance measure of the two provinces,and the K-Means clustering is applied to divide the geographical regions of the 31 provinces,autonomous regions and cities.Arc GIS is used to map regional economic agglomeration patterns,including attractive forms,attractive patterns and synergistic forms.Therefore,the characteristics of geographical aggregation distribution and economic aggregation distribution are discussed,and the deviation of geographical clustering and economic clustering in 31 provinces,autonomous regions and municipalities is revealed.Finally,in view of the irrationality of China’s geographical distribution and economic agglomeration distribution pattern,in order to optimize China’s regional spatial structure,some policy suggestions are put forward from the aspects of strengthening interregional ties and promoting the coordinated development of transportation and economy. |