Study on the Influence of Rural Population Structure on Agricultural Green Total Factor Productivity
[Objective]The development level of agricultural green total factor productivity in China was measured,and the mechanism and path of rural population structure on agricultural green total factor productivity were analyzed,so as to provide the theoretical basis and decision-making reference for promoting agricultural green development in China.[Method]Based on the input-oriented,constant return to scale and the super-efficient SBM model with unexpected output combined with Malmquist-Luenberger (ML) index,the agricultural green total factor productivity of 31 provinces and cities in China from 2000 to 2021 was measured by using the software of MaxDEA.[Result](1) The level of green total factor productivity in Chinese agriculture from 2000 to 2021 exhibited significant temporal and spatial differences.The level of green total factor productivity in agriculture showed a trend of slow decline followed by steady increase and then rapid increase,with the lowest value being 0.5016 in 2005 and the highest value being 0.8872 in 2020,divided by 2005 and 2013;the most provinces were at a medium to high level,with 1 province at a low level,15 provinces at a medium level,accounting for 48.39％,12 provinces at a medium to high level,accounting for 38.71％,and 3 provinces at a high level.(2) The various indicators of rural population structure had a significant inhibitory effect on agricultural green total factor productivity.(3) The impact of various indicators,such as rural child dependency ratio,gender ratio,Engel coefficient of rural residents,and average years of education of rural population,on agricultural green total factor productivity mainly depended on the efficiency of agricultural green technology in the rural population structure.(4) The impact of rural population structure on agricultural green total factor productivity had obvious regional characteristics,and the influence coefficients of various indicators varied significantly in different regions.Among the negative impacts of various indicators on agricultural green total factor productivity,the influence of rural child dependency ratio was most significant in the central region,the influence of rural gender ratio was most significant in the eastern region,the influence of average education years of rural population was most significant in the western region,and the influence of Engel coefficient of rural residents was relatively significant nationwide.[Conclusion]There were significant differences in the green total factor productivity of agriculture among different provinces in China,and the agricultural population structure inhibited the green development of agriculture,with regional variations.Therefore,it was necessary to build a sustainable rural labor input system,explore and cultivate rural female human resources,build a long-term mechanism for increasing farmers' income,promote the orderly transfer of rural labor,fill the gaps in regional opening up,and improve the ecological oriented financial investment structure for supporting agriculture.
rural population structureagricultural green total factor productivitygreen developmentSBM model
万方数据
维普
