Study on Spatio-temporal Evolution and Influencing Factors of Agricultural Green Ecological Efficiency in Yangtze River Economic Belt from Perspective of Ecological Value
On the basis of the value of agricultural ecosystem services(ESV),the super-efficiency SBM model based on undesirable output was used to measure the agricultural green ecological efficiency in the Yangtze River Economic Belt from 2012 to 2021,and its spatio-temporal evolution law and influencing factors were empirically studied.The results show that:(1)The green ecological efficiency of agriculture in the Yangtze River Economic Belt decreased first and then increased,remained stable after 2018,and was at a high level as a whole.The regional difference is significant,showing'middle-stream>upper-stream>down-stream'from the average value.(2)The value of agricultural green ecological efficiency in the provinces and cities of the Yangtze River Economic Belt has been improved as a whole and is more concentrated on higher efficiency values.The gap between high and low efficiency regions has narrowed,and the overall agricultural green ecological efficiency value of the region tends to be concentrated and balanced.(3)The spatial differentiation characteristics are significant,and the spatial change trend shows an inverted U-shaped trend from west to east and an increasing trend from south to north,and the difference between north and south is greater than that between east and west.(4)The degree of aging,agricultural human capital and agricultural planting structure have a significant positive promotion effect on agricultural green ecological efficiency,and the density of agricultural machinery has a significant negative inhibitory effect on agricultural green ecological efficiency.Based on this,this paper proposes countermeasures and suggestions based on the national strategy to promote the high-quality development of agriculture in the Yangtze River Economic Belt.
Agricultural green ecological efficiencyYangtze River Economic BeltEcological valueSpatio-temporal evolutionSuper-efficiency SBM model