| 中国生物农业全要素生产率增长特征及行业差异 |
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| 引用本文： | 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. |
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| 作者姓名： | 季凯文 |
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| 作者单位： | 1 江西财经大学产业经济研究院，江西 南昌330013；;
2 江西省发展改革研究院经济研究所，江西 南昌330046 |
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| 基金项目： | 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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| 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、政府补贴的增加以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。
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| 关 键 词： | 生物农业 全要素生产率 三阶段DEA模型 Malmquist指数 |
| 收稿时间： | 2014-01-22 |
Growth features and industry differences of total factor productivity in China's bio-agriculture |
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| 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. |
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| Authors: | Ji Kaiwen |
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| Institution: | 1. Research Institute of Industrial Economics, Jiangxi Finance and Economics University, Nanchang 330013,Jiangxi, China;;
2. Economics Research Institute, Jiangxi Development and Reform Research Academy, Nanchang 330046,Jiangxi, China |
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| 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. |
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| Keywords: | bio-agriculture total factor productivity three stage DEA model Malmquist index |
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