Analysis of agricultural eco-efficiency in Henan Province based on grey water footprint and carbon emission

doi:10.14088/j.cnki.issn0439-8114.2023.04.042

Abstract

Abstract: In order to promote the coordinated development of the agricultural economy and ecology in Henan Province, firstly, considering the impact of agricultural production on water resources and climate, the grey water footprint and carbon emission of Henan Province from 2000 to 2020 were calculated respectively. Secondly, from the perspective of the impact of agricultural production on the economy and environment, the growth rate of agricultural output value was compared with the average growth rate of the grey water footprint and carbon emission, and the agricultural ecological development status of Henan Province was comprehensively evaluated. Finally, from the perspective of input and output, using super SBM model, the grey water footprint and carbon emission were taken as environmental indicators into the ecological efficiency evaluation system, and the agricultural ecological efficiency of Henan Province from 2000 to 2020 was measured and evaluated. The results showed that the grey water footprint was mainly inverted “√” in three stages, and the carbon emission was inverted “√” in two stages. Except for a few years, the economic impact of agriculture was greater than the environmental impact, and the environmental pollution had improved obviously in recent years. From 2000 to 2004, the GWCAEE in Henan Province was in an effective state, from 2005 to 2014, the GWCAEE in Henan Province showed a fluctuating downward trend and remained in an inefficient state, and from 2015 to 2020, the GWCAEE in Henan Province gradually increased and reached an effective value in 2019.

Key words: agricultural ecological efficiency, grey water footprint, carbon emission, SBM model

CLC Number:

F323.22

LI Wen-yan, LI Bing-jun, MA Wen-ya. Analysis of agricultural eco-efficiency in Henan Province based on grey water footprint and carbon emission[J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(4): 239-246.

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