Abstract

In order to improve the agricultural eco-efficiency and promote the sustainable development of agriculture in Henan Province, China, based on the footprint theory, the super-efficiency SBM model is used to scientifically calculate and analyze the agricultural eco-efficiency in Henan Province. On this basis, the influencing factors of agricultural eco-efficiency in Henan Province are quantitatively analyzed by using the grey incidence analysis model. The results show that unilaterally considering one of grey water footprints and carbon footprints will overestimate or underestimate the agricultural eco-efficiency of Henan Province in different degrees in different time periods, and the agricultural eco-efficiency obtained by comprehensively considering grey water footprint and carbon footprint (GWCAEE) is more in line with the reality of agricultural development in Henan Province. In 2000-2004, GWCAEE in Henan Province was better. During 2005-2014, GWCAEE in Henan Province showed a fluctuating decline and continued to be in an inefficient state. From 2015 to 2019, GWCAEE of Henan Province gradually increased, and it became effective in 2019. In recent years, GWCAEE has developed well. Through the grey incidence analysis between 12 influencing factors including endogenous factors and exogenous factors and GWCAEE, it is found that the six leading factors of GWCAEE in Henan Province are agricultural structure, financial input for agriculture, number of agricultural employees, crop sown area, consumption of chemical pesticide, consumption of agricultural diesel oil. According to the above research conclusions, suggestions for improving agricultural eco-efficiency in Henan Province are put forward.

Highlights

  • In the past 40 years of reform and opening up, China’s agricultural economy has developed rapidly, but at the same time, it has caused a series of environmental problems

  • The results show that unilaterally considering one of grey water footprints and carbon footprints will overestimate or underestimate the agricultural eco-efficiency of Henan Province in different degrees in different time periods, and the agricultural eco-efficiency obtained by comprehensively considering grey water footprint and carbon footprint (GWCAEE) is more in line with the reality of agricultural development in Henan Province

  • Through the grey incidence analysis between 12 influencing factors including endogenous factors and exogenous factors and GWCAEE, it is found that the six leading factors of GWCAEE in Henan Province are agricultural structure, financial input for agriculture, number of agricultural employees, crop sown area, consumption of chemical pesticide, consumption of agricultural diesel oil

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Summary

Introduction

In the past 40 years of reform and opening up, China’s agricultural economy has developed rapidly, but at the same time, it has caused a series of environmental problems. Water pollution and the increase of greenhouse gas emission caused by agricultural production have become two key environmental problems Under this background, from the perspective of win-win economic and environmental benefits, it is of great significance to improve agricultural eco-efficiency (AEE) in order to solve the social contradiction between agricultural production and ecological environment protection and realize the sustainable development of agriculture. Zhang et al (2021) calculated the agricultural eco-efficiency of Shandong Province from 2000 to 2017 with agricultural carbon emissions and agricultural non-point source pollution as the unexpected output indicators, and found that the efficiency of Shandong Province was higher overall, but the regional differences were obvious.

Calculation Method of Grey Water Footprint
Super-Efficiency SBM Model Based on Unexpected Output
Grey Incidence Model
Data Source
Grey Incidence Analysis of GWCAEE and Influencing Factors
Selection of Exogenous Influencing Factors
Results and Analysis Base on Grey Incidence Models
Conclusion and Suggestions

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