长三角地区战略性新兴产业全要素生产率及其影响因素研究  

Total Factor Productivity of Strategic Emerging Industries in Yangtze River Delta and Its Influencing Factors

作　　者：申俊喜[1] 杨若霞 

机构地区：[1]南京师范大学商学院,江苏南京210046

出　　处：《财贸研究》2017年第11期24-33,共10页Finance and Trade Research

基　　金：国家社会科学基金项目"技术负位势视角下我国企业技术寻求型FDI的逆向技术转移机制研究"(批准号13BJY084)的阶段成果;江苏省创新经济研究基地资助

摘　　要：采用DEA-Malmquist指数方法,先测算了2007—2015年间长三角地区战略性新兴产业上市公司全要素生产率及其分解效率;接下来,运用混合面板Tobit模型对其影响因素进行了实证检验。研究结果表明:从产业整体来看,长三角地区战略性新兴产业上市公司呈现纯技术效率和规模效率双低的低端化发展趋势;长三角地区战略性新兴产业的发展存在区域异质性和行业异质性;政府补贴资金使用效率较低、企业员工素质不高、技术设备的使用效率不高都使得长三角地区战略性新兴产业呈现低端化发展的趋势,而股权集中度适中、成长率较高的企业能更好地促进战略性新兴产业生产率的提升。By using DEA-Malmquist index,this paper measures the trends of total factor productivity and its decomposition of efficiency of listed companies of strategic emerging industries in Yangtze River Delta from 2007 to 2015 and carries out an empirical study on the influential factors by using Mixed Panel Tobit model. The research result shows that listed companies of strategic emerging industries in Yangtze River Delta present a low-end of development trend that both pure technology efficiency and scale efficiency are low from a perspective of the whole industry,the development of strategic emerging industries in Yangtze River Delta exists heterogeneity in different regions and different industries,the low efficiency of government subsidies,the low quality of enterprise＇s employees and the low efficiency of technology equipment make the strategic emerging industries in Yangtze River Delta present a low-end of development trend. However,enterprises which have moderate concentration of shareholding and higher growth rate are able to promote improvement of productivity. Finally,some relevant suggestions are put forward based on the empirical results.

关 键 词：长三角地区 战略性新兴产业 全要素生产率 DEA-MALMQUIST指数 TOBIT模型 

分 类 号：F427[经济管理—产业经济]