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作 者:凌晨 秦思佳 戴翔 LING Chen;QIN Si-jia;DAI Xiang(Business School,Wuxi Taihu University,Wuxi Jiangsu 214063,China;School of Management,Nanjing University of Aeronautics and Astronautics,Nanjing Jiangsu 210016,China;School of Economics,Xiamen University,Xiamen Fujian 361005,China;School of Economics,Nanjing Audit University,Nanjing Jiangsu 211815,China)
机构地区:[1]无锡太湖学院商学院,江苏无锡214063 [2]南京航天航空大学管理学院,江苏南京210016 [3]厦门大学经济学院,福建厦门361005 [4]南京审计大学经济学院,江苏南京211815
出 处:《技术经济与管理研究》2023年第11期112-115,共4页Journal of Technical Economics & Management
基 金:江苏省高校哲学社会科学研究项目(2022SJYB1006);江苏高校学习贯彻党的二十大精神专题研究项目(SJZT202315)。
摘 要:基于数据包络分析的非参数Malmquist方法,对中国2003—2021年23个省份的服务业全要素生产率进行测算。结果显示,从时间维度上看,各地区服务业全要素生产率呈现上升趋势;从地理空间维度看,不同省份的服务业全要素生产率有着显著差别;从时空双重变化角度看,省份间的服务业全要素生产率差距呈扩大之势。进一步从影响因素看,城市化率、居民可支配收入、经济发展水平、政府干预和市场化程度等,是导致服务业全要素生产率呈现上述时空演变规律的关键因素。以期为从提升全要素生产率角度促进区域间协调发展提供经验证据。The non parametric Malmquist method based on data envelopment analysis was used to measure the total factor product-ivity of the service industry in 23 provinces in China from 2003 to 2021.The results showed that from a time dimension,the total factor productivity of the service industry in each region showed an upward trend;From the perspective of geographical spatial dimensions,there are significant differences in the total factor productivity of the service industry among different provinces;From the perspective of dual changes in time and space,the gap in total factor productivity of the service industry between provinces is expanding.From the perspective of influencing factors,urbanization rate,disposable income of residents,economic development level,government intervention,and degree of marketization are key factors that lead to the spatiotemporal evolution of total factor productivity in the service industry.To provide empirical evidence for promoting regional coordinated development from the perspective of improving total factor productivity.
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