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作 者:秦春艳[1] 范爱华 QIN Chun-yan;FAN Ai-hua(Tianfu College of Southwestern University of Finance and Economics,Mianyang 621000,China)
机构地区:[1]西南财经大学天府学院
出 处:《价值工程》2019年第22期1-4,共4页Value Engineering
基 金:四川省教育厅自然科学项目:高频数据下基于前景理论的动态投资组合决策模型及实证研究,项目编号16ZB0538
摘 要:本文选取2000-2016年全国各省份面板数据,利用DEA-Malmquist指数方法分别测算了考虑环境因素和不考虑环境因素的全要素生产力,t检验结果显示效率值差别显著,因此在测算投入产出效率过程中有必要考虑非期望产出环境指标。样本期间各省份全要素生产力迅速提高,由于纯技术效率低,西部地区全要素生产力和能源效率明显低于东部地区,能源效率与全要素生产力显著相关,尤其与纯技术效率相关性比较强,因此发展经济首要任务是提高科学技术水平。This paper selects the panel data of various provinces in China from 2000 to 2016,and uses the DEA-Malmquist index method to measure the total factor productivity considering environmental factors and environmental factors.The t-test results show that the efficiency values are significantly different,so it is measured and put into production.It is necessary to consider the undesired output environment indicators in the efficiency process.During the sample period,the total factor productivity of each province increased rapidly.Due to the low efficiency of pure technology,the total factor productivity and energy efficiency in the western region were significantly lower than that in the eastern region.Energy efficiency was significantly correlated with total factor productivity,especially with pure technical efficiency.The primary task of developing the economy is to improve the level of science and technology.
关 键 词:全要素能源效率 DEA-Malmquist指数模型 全要素生产力
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