中国生物农业全要素生产率增长特征及行业差异

季凯文

科研管理 ›› 2016, Vol. 37 ›› Issue (7) : 145-153.

科研管理 ›› 2016, Vol. 37 ›› Issue (7) : 145-153.
论文

中国生物农业全要素生产率增长特征及行业差异

  • 季凯文1,2
作者信息 +

Growth features and industry differences of total factor productivity in China’s bio-agriculture

  • Ji Kaiwen1,2
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文章历史 +

摘要

本文以上市公司为样本,采用考虑环境因素的三阶段DEA-Malmquist指数模型,实证分析了中国生物农业全要素生产率的真实增长特征及行业差异。研究发现,宏观经济的快速扩张、政府补贴的增加及过于集中的股权结构,不利于全要素生产率的提升;剔除环境变量和随机误差的影响后,全要素生产率增长更为显著且主要由技术效率推动,技术水平呈现退步趋势;全要素生产率增长的样本差异分化明显,各子行业发展相对均衡,而子行业内部良莠不齐。为此,政府应优化外部环境、促进技术创新、强化分类指导,以便更为有效地提升生物农业全要素生产率。

Abstract

Taking listed companies as sample and using three stage DEA-Malmquist index model which considers environmental factors, this paper makes empirical analysis on the real growth features and industry differences of total factor productivity in China’s bio-agriculture. The results show that rapid expansion of macro economy, increase of government subsidies and excessive concentration of ownership structure, are not conducive to improve total factor productivity; growth of total factor productivity is more significant which driven mainly by technical efficiency and technical level is backward after eliminating influence of environmental variables and random errors; sample differences of total factor productivity growth is obvious, development of various sub-sectors is relatively balanced, but development of internal sub-sector is uneven. Therefore, government should optimize external environment, promote technological innovation, and strengthen classification guidance in order to improve total factor productivity of bio-agriculture more effectively.

关键词

生物农业 / 全要素生产率 / 三阶段DEA模型 / Malmquist指数

Key words

bio-agriculture / total factor productivity / three stage DEA model / Malmquist index

引用本文

导出引用
季凯文. 中国生物农业全要素生产率增长特征及行业差异[J]. 科研管理. 2016, 37(7): 145-153
Ji Kaiwen. Growth features and industry differences of total factor productivity in China’s bio-agriculture[J]. Science Research Management. 2016, 37(7): 145-153

基金

国家自然科学基金项目“基于损失厌恶的的供应链决策行为与管理策略研究”(编号:71261006,起止时间:2013-2016);江西省社会科学“十二五”规划项目“中国生物农业技术效率测度及其提升路径研究”(编号:15GL35,起止时间:2015-2017);
中国博士后科学基金第59批面上资助项目“技术效率、技术进步与中国生物农业发展”(编号:2016M592102,起止时间:2016-2018)


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