Promoting the free and orderly flow of factors in urban agglomerations and improv-ing the efficiency of resource allocation is a necessary requirement for promoting high-quality development under the dual circulation context.Using the Chengdu-Chongqing Economic Cir-cle as the research area,this study integrated multiple sources of big data such as Baidu Migra-tion,express logistics networks,and Baidu Index to establish a method for measuring the inten-sity of factor flow,and used an improved gravity model to simulate the intensity of factor flow under natural conditions.The study constructed a factor flow obstacle index to measure the lev-el of factor flow obstacles between cities,and used QAP regression model to explore the factors influencing these obstacles.The results show that:(1)Regardless of actual or simulated factor flow,the intensity of factor flow between Chengdu and Chongqing is the highest,and the inten-sity of factor flow between these two cities and other prefecture-level cities is higher than that between other prefecture-level cities.(2)The factor flow between cities in Sichuan province mostly shows a promoting effect,while the factor flow between Chongqing and other cities in Sichuan is generally hindered.(3)The level of obstacles to factor flows in the Chengdu-Chongqing Economic Circle is jointly influenced by various factors such as the system,society,policies,and facilities.Administrative divisions and differences in urban-rural structure tend to form barriers to factor flows between cities.Spatial proximity and the interconnection of road facilities can promote efficient factor flows between cities.Central cities with high administra-tive levels have a certain dominant role in factor flows.Based on this,several strategies and suggestions are proposed to overcome the obstacles to factor flows in the Chengdu-Chongqing Economic Circle.
关键词
要素流动障碍/流空间/改进引力模型/QAP/成渝地区双城经济圈
Key words
factor flow barriers/space of flow/improved gravitational model/quadratic assign-ment procedure/Chengdu-Chongqing Economic Circle
维普
万方数据