Study On The Impact Of Technological Progress And Efficiency Catch-up On Agricultural Carbon Emissions

Since the new century,how to better adapt and respond to climate change is a global environmental issue facing mankind.In this context,countries are generally seeking green and low-carbon development paths.While the industrial sector is the major emitter of carbon,agriculture also plays a key role in global climate change,and the concept of "climate-smart" agriculture has emerged to promote sustainable agricultural development.The main idea is to reduce greenhouse gas emissions from agriculture while sustainably improving the productivity of agricultural systems,thereby enhancing the ability of agriculture to adapt to climate change.Agricultural carbon emission intensity has the dual attributes of "growth preservation" and "emission reduction",which is in line with the objective practical needs of China’s sustainable agricultural development.Based on this,this paper takes 31 provinces(municipalities and districts)in China as the research object,and takes the panel data from 2001 to 2018 as the sample to frame the agricultural carbon emission accounting system in four aspects,including agricultural materials,rice cultivation,soil carbon emission and straw treatment,and discusses the impact of technological progress and efficiency catching up on China’s agricultural carbon emission,and refines the strategies to reduce China’s agricultural carbon emission First,we refer to the existing literature and statistical yearbooks.Firstly,the index system of China’s agricultural carbon emission measurement is constructed by referring to the existing literature and relevant data in statistical yearbooks,and then the Moran index is applied to test whether China’s agricultural carbon emission has spatial correlation;finally,based on the above analysis,three spatial models under three spatial weight matrices are used to explore the impact of technological progress and efficiency catch-up on China’s agricultural carbon emission.The following conclusions were obtained from the above analysis.(1)The overall Moran index of China’s agricultural carbon emission intensity from 2001 to 2018 is positive,with an overall distribution of high-high and low-low agglomeration trends,and the positive spatial correlation has been strengthened in the later stage of the study.This not only confirms the significant local variability of China’s agricultural carbon emission intensity,but also illustrates the significant spatial correlation and dependence of agricultural carbon emission intensity among neighboring provinces,i.e.,agricultural carbon emission intensity among neighboring provinces will influence each other,showing the spatial convergence of agricultural carbon emission intensity.(2)In terms of direct effects,technological progress,efficiency catch-up,industrial structure adjustment,accelerated urbanization,expansion of per capita planting area,improvement of farmers’ education level and the level of fiscal support for agriculture have significant inhibiting effects on agricultural carbon emission intensity in the province;in terms of spatial spillover effects,agricultural carbon emission intensity between neighboring provinces has significant spatial correlation.Specifically,technological progress,efficiency catching up,industrial restructuring,accelerated urbanization,expansion of per capita cultivation area,improvement of farmers’ education level and level of financial support for agriculture can indirectly suppress the agricultural carbon emission intensity of this province.