华北地区农业循环经济全要素生产率分析
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摘要
基于DEA-Malmquist指数方法,利用2011—2017年华北地区面板数据对中国华北地区5个省(自治区、直辖市)农业循环经济全要素生产率进行测算,对效率变化和技术变化进行系统分析。结果表明,华北地区农业循环经济的全要素生产率呈现一定幅度的正向增长情况,这是以技术进步为主、综合效率为辅共同作用的结果。除内蒙古自治区以外,各地区农业循环经济的全要素生产率均呈现不同程度的增长状况。此外,各个省份增长的驱动因素也各不相同,且地区之间存在一定的差异。
Based on the DEA-Malmquist index method, using the panel data in north China from 2011 to 2017 in five provinces(autonomous regions, municipalities) in north China, total factor productivity of the agricultural circular economy was calculated, and the efficiency changes and technological changes were systematically analyzed. The results showed that the total factor productivity of agricultural circular economy in north China showed a certain positive growth, which is the result of the combination of technological progress and comprehensive efficiency, and comprehensive efficiency was complementary. Except for Inner Mongolia Autonomous Region, the total factor productivity of agricultural circular economy showed different degrees of growth in various regions. In addition, the drivers of growth in different provinces(autonomous regions,municipalities) were also different, and there were some differences among different regions.
Based on the DEA-Malmquist index method, using the panel data in north China from 2011 to 2017 in five provinces(autonomous regions, municipalities) in north China, total factor productivity of the agricultural circular economy was calculated, and the efficiency changes and technological changes were systematically analyzed. The results showed that the total factor productivity of agricultural circular economy in north China showed a certain positive growth, which is the result of the combination of technological progress and comprehensive efficiency, and comprehensive efficiency was complementary. Except for Inner Mongolia Autonomous Region, the total factor productivity of agricultural circular economy showed different degrees of growth in various regions. In addition, the drivers of growth in different provinces(autonomous regions,municipalities) were also different, and there were some differences among different regions.
引文
[1]李涛.基于DEA方法的生态农业发展评价[D].武汉:华中农业大学,2018.
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[4]于婷,郝信波.粮食主产区农业生态效率时空特征及改善路径研究[J].生态经济,2018(9):105-109.
[5]郭耀辉,刘强,熊鹰,等.农业循环经济发展指数及障碍度分析---以四川省21个市州为例[J].农业技术经济,2018(11):132-138.
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[9]赵思涵,陈为.华北地区低碳经济发展效率研究[J].管理科学研究,2017(5):53-55.
[10]王力娟,林小浩.供给侧改革背景下河北省农业循环经济效率测评[J].科学技术创新,2017(1):297-298.
[11]郝志龙.对内蒙古循环农业经济发展问题的研究[D].呼和浩特:内蒙古农业大学,2015.
[2]冯亚娟,祁乔,韩家彬.中国农业生态效率的时空演变及驱动因素[J].水土保持通报,2018(6):255-262.
[3]周旭东,吕光辉.新疆农业生态效率时空差异及影响因素研究---基于DEA-Malmquist指数-Tobit模型分析[J].中南林业科技大学学报(社会科学版),2018(6):37-45.
[4]于婷,郝信波.粮食主产区农业生态效率时空特征及改善路径研究[J].生态经济,2018(9):105-109.
[5]郭耀辉,刘强,熊鹰,等.农业循环经济发展指数及障碍度分析---以四川省21个市州为例[J].农业技术经济,2018(11):132-138.
[6]赵婷.基于灰色关联的西北地区农业循环经济发展评价[J]中国农业资源与区划,2018(10):63-66.
[7]徐峥,陈书章,朱淡洁,等.基于DEA的河南省农业循环经济效率评价[J].河南农业大学学报,2011(4):483-492.
[8]王淑君,朱先奇,史彦虎.山西省农业循环经济发展水平评价和效率分析[J].数学的实践与认识,2017(10):53-57.
[9]赵思涵,陈为.华北地区低碳经济发展效率研究[J].管理科学研究,2017(5):53-55.
[10]王力娟,林小浩.供给侧改革背景下河北省农业循环经济效率测评[J].科学技术创新,2017(1):297-298.
[11]郝志龙.对内蒙古循环农业经济发展问题的研究[D].呼和浩特:内蒙古农业大学,2015.