Analysis of Agricultural Eco-Efficiency and Influencing Factors in Henan Province ()
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.
Share and Cite:
Li, B. , Li, W. , Ma, W. and Zhang, Y. (2022) Analysis of Agricultural Eco-Efficiency and Influencing Factors in Henan Province.
Journal of Geoscience and Environment Protection,
10, 78-93. doi:
10.4236/gep.2022.101006.