摘要
从不同层面讨论中国金融业与制造业的互动发展关系,廓清两业高质量发展的耦合互动机制,并基于此设计构建两业高质量耦合协同发展指标体系。进一步运用熵权法与耦合度指标测度分析2011-2020年两业综合发展水平、耦合协同发展水平及其演进差异,并运用面板数据模型探究两业耦合协同发展的影响因素。研究发现,中国金融业与制造业耦合协同发展水平稳步提升,目前处于初级协同发展阶段;三大区域中,两业耦合协同发展水平不均衡;两业工资差距、财政支出水平、对外开放度、城镇化率等都对两业耦合协同发展有显著影响。最后提出促进中国金融业与制造业良好耦合协同发展的对策建议。
This paper discusses the interactive development relationship between Chinese financial and manufacturing industry from different aspects,clarifies the interactive mechanism of the high-quality development of the two industries,and constructs the high-quality coupling and collaborative development index system of the two industries.Moreover,we use the entropy weight methods and coupling index to measure and analyze the comprehensive development level,coupling collaborative development level and evolution differences of the two industries from 2011 to 2020.We also use the panel data model to explore influencing factors of the coupling collaborative development of the two industries.It is found that the level of the coupled and coordinated development of China’s financial industry and manufacturing industry has been steadily improved and maintained at the primary stage of coordinated development.In the three regions,the level of coupled and coordinated development of the two industries is uneven.The wage gap between the two industries,the level of fiscal expenditure,the degree of opening up and the urbanization rate have a significant impact on the coupling and coordinated development of the two industries.Finally,it puts forward countermeasures and suggestions to promote the good coupling and coordinated development of China’s financial industry and manufacturing industry.
作者
刘明
王燕芳
LIU Ming;WANG Yan-fang(School of Statistics,Lanzhou University of Finance Economics,730020;School of Finance,Lanzhou University of Finance and Economic,730020)
出处
《上海经济研究》
CSSCI
北大核心
2022年第12期93-112,共20页
Shanghai Journal of Economics
基金
国家社科基金一般项目“制造业高质量发展驱动力的统计测度与路径提升研究”(编号:21BTJ006)阶段性成果之一。
关键词
金融业
制造业
耦合协同机制
测度
影响因素
Financial Industry
Manufacturing Industry
Coupling and Coordinated Mechanism
Measure
Influencing Factors
