我国省域要素禀赋与制造业耦合协调性研究

Research on the Coupling and Coordination of China’s Provincial Factor Endowment and Manufacturing Industry

我国作为世界上最大的发展中国家,是一个“大国经济体”,各区域自然资源禀赋、基础设施禀赋、劳动力禀赋、资本禀赋和技术禀赋等都差异巨大。为丰富和完善要素禀赋的相关研究,明确区域要素禀赋的差异对于地方因地制宜发展经济具有重要意义。首先对2007年和2016年各区域要素禀赋状况与按要素密集度分类的制造业进行了分类测度和整体评估,然后用耦合协调理论分析各区域要素禀赋与按要素密集度分类的制造业之间的交互作用,最后对比随年份变化这种交互作用的改变。研究表明,两者之间的联系存在着区域异质性,总体表现出“东部地区>中部地区>西部地区”的特征,大多数省份的耦合度处于高水平耦合状态。但从协调度的角度来看,2007—2016年间,处于良好协调阶段的省份变多,而大多数省份仍然处于低度协调状态。该研究的结论可为各区域立足自身要素禀赋情况寻找符合实际的制造业发展道路、优化区域资源配置和提高人民生活水平提供参考依据。

As the largest developing country in the world,china is a“big power economy”,whose natural resource endowments,infrastructure endowments,labor endowments,capital endowments and technology endowments of various regions are very different.The relevant research on factor endowments is enriched and perfected.Clarifying the differences in the factor endowments of regions is of great significance for local economic development in accordance with local conditions.The article first carried out a classification measurement and overall assessment of the factor endowment status of each province,classified the manufacturing industry by factor intensity in 2007 and 2016,and then analyzed the relationship between the factor endowment of each region and the manufacturing industry classified by factor intensity using the coupling coordination theory,and finally compared the changes of this interaction with the changes of the year.The results show that there is regional heterogeneity in the relationship between the two,which generally shows the characteristics of“Eastern Region>Central Region>Western Region”,and the coupling degree of most provinces is in a high-level coupling state.However,from the perspective of coordination degree,between 2007 and 2016,more provinces were in the stage of good coordination,and most provinces were still in a state of low coordination.The conclusions of this study can provide reference significance for each region to find a realistic manufacturing development path based on its own factor endowments,optimize regional resource allocation and improve people’s living standards.