基于DEA-Malmquist模型的江苏省工业全要素生产率分析  

Analysis of Total Factor Productivity of Jiangsu Province Industry Based on DEA-Malmquist Model

作　　者：王志超 Wang Zhichao(Shanghai University,Shanghai 201899,China)

机构地区：[1]上海大学,上海201899

出　　处：《现代工业经济和信息化》2023年第12期20-22,共3页Modern Industrial Economy and Informationization

摘　　要：在工业生产过程中,劳动、资本等生产要素投入的扩张对工业的生产与发展有着重要作用和影响。不同的生产要素效率的提高,对工业生产效率的提高也有着重要的影响。江苏省地处长江三角洲核心区域,其经济发展整体水平处于全国领先的位置。近十年其工业对GDP贡献超过40%,足以见得工业对其经济发展的重要性。对江苏省的工业发展模式进行研究将对工业欠发达地区的工业发展具有重要的指导性意义。故采用数据包络分析法(DEA分析法)基于Malmquist模型对江苏省13个地级市的工业进行全要素生产率分析,进而探究其工业生产不断增长的原因。并最终得到技术创新和规模效益是其工业得以持续发展的主要原因。In the process of industrial production,the expansion of labour,capital and other factors of production inputs has an important role and impact on the production and development of industry.The improvement of the efficiency of different production factors also has an important impact on the improvement of industrial production efficiency.Jiangsu Province is located in the core region of the Yangtze River Delta,and its overall level of economic development is in a leading position in the country.In the past ten years,the contribution of industry to GDP has exceeded 40%,which is sufficient to show the importance of industry to its economic development.The study of the industrial development model of Jiangsu Province has an important guiding significance for the industrial development of the less developed industrial areas.Therefore,we adopt the data envelopment analysis method(DEA)based on the Malmquist model to analyse the total factor productivity of the industries in 13 prefecture-level cities in Jiangsu Province,and then explore the reasons for the continuous growth of its industrial production.And finally,we get that technological innovation and scale efficiency are the main reasons for the sustainable development of their industries.

关 键 词：全要素生产率 数据包络分析 工业发展 

分 类 号：F425[经济管理—产业经济] F273.1