Chinese Geographical Science ›› 2021, Vol. 31 ›› Issue (2): 313-328.doi: 10.1007/s11769-021-1192-x

• Articles • Previous Articles     Next Articles

Evaluation and Influence Factor of Green Efficiency of China’s Agricultural Innovation from the Perspective of Technical Transformation

HE Weichun1, LI Erling1,2, CUI Zhizhen1   

  1. 1. Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education/Key Research Institute of Yellow River Civilization and Sustainable Development & Henan Collaborative Innovation Center for the Yellow River Civilization Heritage and Modern Civilization Construction/Institute of agriculture and rural sustainable development, Henan University, Kaifeng 475004, China;
    2. Collaborative Innovation Center of Urban-Rural Coordination, Henan University of Economics and Law, Zhengzhou 450000, China
  • Received:2020-05-10 Online:2021-03-20 Published:2021-02-06
  • Contact: LI Erling E-mail:erlingli@126.com
  • Supported by:
    Under the auspices of National Natural Science Foundation of China (No. 41971222), Planning Project of Philosophy and Social Science in Henan Province (No. 2019BJJ019), Program for Innovative Research Team (in Science and Technology) in University of Henan Province (No. 21IRTSTHN008), Graduate Education Quality Curriculum Construction Project of Henan Province (No. HNYJS2016KC24), First Class Discipline Development Project in Henan University (No. 2019YLZDYJ12)

Abstract: Agricultural innovation is important for the green transformation of agriculture. Based on the perspective of technology transformation, this paper builds a theoretical analysis framework and evaluation index system for green efficiency of agricultural innovation, and discusses the evolution laws and influencing factors of the green efficiency of China’s agricultural innovation from 2005 to 2017 utilizing the DEA model, Malmquist index, and Tobit regression analysis. The results show that: 1) The overall green efficiency of China’s agricultural innovation is not high, the green efficiency of agricultural innovation in eastern China is mainly driven by pure technical efficiency, while that in central and western China is mainly driven by the scale efficiency. The green efficiency of agricultural innovation shows significant spatial differences, and the low efficiency and relatively low-efficiency regions moved to central and southeastern China. 2) Technical progress is the main force affecting the change of green total factor productivity of China’s agricultural innovation, seeing a trend of decrease followed by an increase. Pure technical efficiency and scale efficiency exhibit an increasing-decreasing trend, and gradually transform into key factors that restrict the improvement of the green total factor productivity of agricultural innovation. 3) Agricultural technologies’ diffusion, absorption, and implementation are three influencing factors of the green efficiency of agricultural innovation. The local level of informatization, the number of agricultural technicians in enterprises and institutions, average education level of residents, and the level of agricultural mechanization have positive impacts on the promotion of the green efficiency of agricultural innovation, promoting the diffusion, absorption and implementation of agricultural innovation technology can significantly improve the green efficiency of agricultural innovation.

Key words: the green efficiency of agricultural innovation, Data Envelopment Analysis (DEA), Malmquist index, Tobit regression, China