Spatiotemporal Evolution and Driving Factors of Agricultural Eco-efficiency in China

FENG Yajuan; QI Qiao; HAN Jiabin

doi:10.13961/j.cnki.stbctb.2018.06.039

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Spatiotemporal Evolution and Driving Factors of Agricultural Eco-efficiency in China

- Spatiotemporal Evolution and Driving Factors of Agricultural Eco-efficiency in China
- Bulletin of Soiland Water Conservation Vol. 38, Issue 6, Pages: 254-262(2018)
- 作者机构：
  
  辽宁工程技术大学工商管理学院,辽宁,葫芦岛,125105
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2018.06.039
  CLC：
- Published：2018
- 稿件说明：
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FENG Yajuan, QI Qiao, HAN Jiabin. Spatiotemporal Evolution and Driving Factors of Agricultural Eco-efficiency in China[J]. Bulletin of Soiland Water Conservation, 2018, 38(6): 254-262.
DOI：

FENG Yajuan, QI Qiao, HAN Jiabin. Spatiotemporal Evolution and Driving Factors of Agricultural Eco-efficiency in China[J]. Bulletin of Soiland Water Conservation, 2018, 38(6): 254-262. DOI： 10.13961/j.cnki.stbctb.2018.06.039.

摘要

[目的] 研究农业生态效率的时空演变及驱动因素，为推动生态农业的可持续发展提供理论支持。[方法] 构建超效率DEA-Malmquist模型对2007—2016年中国农业生态效率值的动态变化进行研究，利用空间自相关模型分析其分布特征，运用灰色关联模型探讨了农业生态效率时空变化的主要驱动因素。[结果] 观测期内，全要素农业生态效率值增长稳定，技术进步是农业生态效率提高的主要原因；农业生态效率空间分布具有全局自相关性，河南、山东等省份表现出“低—低”集聚特征；农业生态效率变化主要受科技支持、农地确权、农业机械密度、农业规模化水平等10个因素影响，各因素在不同时期作用存在差异。[结论] 观测期内，农业机械密度代替城市化水平成为主要驱动因素；农业生态效率变化的驱动因素逐渐由宏观环境和政策导向转变为以农业自身发展为导向。

Abstract

[Objective] This paper studied the spatiotemporal evolution and driving factors of agricultural eco-efficiency in China in order to provide theoretical support for promoting the sustainable development of eco-efficiency.[Methods] Spatiotemporal evolution and driving factors of agricultural eco-efficiency in China in 2007-2016 were analyzed by using super-efficiency DEA-Malmquist index

spatial autocorrelation model and grey relation model.[Results] During the observation period

the value of total factor agricultural eco-efficiency increased steadily

and technical progress was the main reason for the improvement of agricultural eco-efficiency. The spatial distribution of agricultural eco-efficiency has a national autocorrelation

and some regions such as Shandong Province and He'nan Province show "low-low" agglomeration characteristics. The change of agricultural eco-efficiency is mainly influenced by 10 factors

such as scientific and technological support

land approval

agricultural machinery density and agricultural scale level

etc.

and there are differences in the effects of various factors in the different periods.[Conclusion] During the observation period

agricultural mechanical density replaced urbanization level as the main driving factor. The driving factors of the change of agricultural eco-efficiency are gradually changing from the macro environment and policy orientation to the development of agriculture itself.

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