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Research On The Impact Of Transfer Of Rural Labor On Green Total Factor Productivity Of Food

Posted on:2024-07-01Degree:MasterType:Thesis
Country:ChinaCandidate:Y T LiuFull Text:PDF
GTID:2531307088959109Subject:Agricultural management
Abstract/Summary:PDF Full Text Request
Promoting changes in agricultural development practices will contribute to the rural regeneration strategy and the "double carbon" objective.The problems of resource shortage and environmental pollution brought by the crude agricultural development method have urgently required.As the core agricultural industry.At present and in the future,in the context of continuing to promote the transfer of rural labor to non-farm employment,clarifying the impact of rural labor transfer on China’s food GTFP and the mechanism of the impact can help choose a better path for green and high-quality food development.This paper first analyzes the time-series evolution of the number of rural labor force transfer in China and the regional differences.Then,based on the DDF-GML index model,we measured the grain GTFP and its decomposition term coefficients from 1999 to 2020 at the national,east-central-west and inter-provincial scales in turn,and analyzed the spatial-temporal and regional characteristics of grain GTFP.Finally,the impact of rural labor migration on China’s grain GTFP and its component terms is analyzed by establishing a two-way fixed-effect model.The results of the research and analysis in this paper show that.First,from an overall perspective,the number of rural agricultural labor and the absolute number of rural labor both show a downward trend.The speed of rural non-agricultural transfer in each region of China is in the order of "East >Central > West".Among them,the eastern region is still a net inflow of rural labour in China,while the central and western regions are net outflows,with a tendency to move rural labour between provinces.Secondly,China’s grain GTFP shows a fluctuating and slow rising trend.And this rise mainly depends on the improvement of grain green technical efficiency(GEC)rather than grain green technical progress(GTC).After considering environmental factors,it is found that at present,China’s grain production increase is still factor input driven rather than GTFP enhancement driven,and the quality and sustainability of grain green production need to be improved.By region,the average annual growth rate of grain GTFP from 1999 to 2020 is in the following order: western region > central region > eastern region;at the provincial level,the growth of grain GTFP in the eastern provinces of China is mostly driven by the single track of grain GTC or double track with grain GEC,while the central and western provinces are mainly driven by the single track of grain GEC.From the decomposition index,the eastern region has the best status of grain green technology progress,and the western region has the highest grain green technology efficiency.Third,rural labor transfer is indirectly promoting the growth of China’s grain GTFP by positively driving China’s grain green technical efficiency and technological progress and thus.This indicates that the factor substitution deepening effect and technology reverse forcing effect of China’s rural food production is greater than the weakening effect of rural human capital generated by labor transfer.However,the impact of this effect relationship can differ in the east,middle and west regions,where the rural labor transfer has the highest degree of impact on food GTFP brings some positive effects on the yield improvement of green food production.The policy implications based on the research analysis are: more investment is needed to enhance the technological progress of grain greening;the protection of legal rights and interests of migrant workers in cities should be continuously enhanced,the displacement of the rural labor force should continue to be promoted,the distribution of regional greening inputs should be optimized according to local conditions.
Keywords/Search Tags:Rural labour migration, Food, Green total factor productivity, Green technical efficiency, Green technology advancement
PDF Full Text Request
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