Abstract

Traditionally, in the pursuit of economic development, ecological health was sacrificed, but this is no longer tenable considering the vast environmental damage that is difficult to control and expensive to repair. This is especially true for China’s Jianghuai River Basin (JRB). As a result, this paper uses the slacks-based measure (SBM) directional distance function and the tobit model on panel data from various cities and counties in the Jiangsu section of the HRB to empirically analyze regional green agricultural production efficiency and influencing factors from 2005 to 2019. The results illustrate that agricultural and environmental efficiency fluctuate upward in provincial areas. Still, a downward trend is observed in both redundancy and insufficiency rates of undesirable and desirable output. While this indicates improving regional agricultural and environmental efficiency, there is no readily detectable positive effect of technological progress and technical efficiency on green agricultural production efficiency improvements. Following a full analysis, policy implications are presented and discussed.

Highlights

  • The simultaneous and coupled development of the economy and environment is strongly dependent on improving the efficiency of green agricultural production and, a crucial part in alleviating the current disconnect between agricultural development and resource/environmental management.The Jianghuai ecological economic zones are the Grand Canal Cultural Zone and National Jianghuai Ecological Corridor Zone

  • Using the tobit regression model, we explore the external influencing factors affecting the green production efficiency and aim to reveal the problems existing in the green efficiency development of the Jianghuai Ecological Economic Zone, providing suggestions for improving the green agricultural efficiency in this region

  • The reason is that, except Baoying, Gaoyou and Xinghua, the rest of the counties of the Jianghuai Ecological Economic Zone are all located in northern Jiangsu, and the lack of investment in agricultural scientific and technological talents and lack of financial investment restrict the improvement of green agricultural efficiency

Read more

Summary

Background

The simultaneous and coupled development of the economy and environment is strongly dependent on improving the efficiency of green agricultural production and, a crucial part in alleviating the current disconnect between agricultural development and resource/environmental management. This paper uses the SBM directional distance function and tobit model to empirically analyze the regional green agricultural production efficiency and influencing factors. First and foremost, most of the existing literature focuses on evaluating regional (provincial) agricultural ecological green production efficiency. It lacks relevant research on evaluating agricultural green development performance at the county level (city and county). Using the tobit regression model, we explore the external influencing factors affecting the green production efficiency and aim to reveal the problems existing in the green efficiency development of the Jianghuai Ecological Economic Zone, providing suggestions for improving the green agricultural efficiency in this region

Slacks-Based Measure Directional Model
Malmquist–Luenberger Productivity Index
Data and Index Selection
Static Analysis of Agricultural Eco-Efficiency
Dynamic Analysis of Agricultural Eco-Efficiency
Redundancy Analysis of Green Agricultural Elements
Model Construction and Variable Selection
Tobit Regression Analysis
Findings
Conclusions and Recommendations

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.