Agricultural Growth Under Carbon Emission Constraints:Measurement,Evaluation And Influencing Factors

The greenhouse effect caused by carbon dioxide emissions is an important environmental issue that many countries and regions are currently concerned about.In recent years,agriculture has achieved rapid development as an important industrial sector in China.At the same time,however,the amount of carbon dioxide emitted by agricultural production continues to increase.At present,the biggest problem facing China's agricultural production is how to obtain a balanced relationship between sustained and steady growth of the agricultural economy,efficient use of resources and environmental protection.Therefore,how to effectively achieve agricultural carbon emission reduction has become very important.Firstly,this paper comprehensively summarizes relevant research literature on carbon emissions at home and abroad,and masters the achievements and latest developments of current research on agricultural carbon emissions.Secondly,it puts forward and summarizes some basic concepts and related theoretical foundations involved in this paper.This paper divides the agricultural carbon emission sources in detail,and comprehensively measures the agricultural carbon emissions of 30 provinces(provinces and autonomous regions)in China,and analyzes the carbon emission characteristics of different regions on this basis.Furthermore,the SBM model based on undesired output and the Malmquist-luenberger index model are used to empirically analyze the total factor productivity of China's agricultural environment,and the panel Tobit regression model is used to empirically analyze the factors affecting the total factor productivity of China's agricultural environment.The research conclusions of carbon emission analysis are as follows:(1)The most important sources of carbon emissions in China's agricultural development are chemical fertilizers,rice,agricultural diesel and agricultural plastic films.The total amount of agricultural carbon emissions in the eastern and central regions has been higher than that in the western and northeastern regions,and the western region is much higher than that in the northeast.(2)The intensity of agricultural carbon emission in the central region is much higher than that in the eastern,western and northeastern regions,and the western region is higher than that in the northeast.The research conclusions of the total factor productivity analysis of the agricultural environment are as follows:(1)The SBM model analysis shows that the provinces with higher total factor productivity values of agricultural environment are mainly concentrated in the economically developed provinces such as Shanghai,Jiangsu,Zhejiang,Fujian,Hainan,etc,and the lower provinces are mainly concentrated in the central and western regions of Inner Mongolia,Shanxi,Gansu,Henan,Jiangxi,Yunnan,Ningxia,etc.(2)The Malmquist-luenberger index model analysis shows that the total factor productivity of agricultural environment in China shows a trend of volatility growth.The provinces with higher total factor productivity of agricultural environment are mainly concentrated in economically developed areas,and the lower provinces are mainly concentrated in the central and Remote areas of the west.(3)The Tobit regression results show that the industrial structure has a negative correlation with the total factor productivity of the agricultural environment,The per capita disposable income of rural residents,agricultural electricity consumption and the number of rural hydropower stations have positive effects on the total factor productivity of the agricultural environment.The area affected by agriculture has no significant impact on the total factor productivity of the agricultural environment.Finally,this paper proposes targeted countermeasures and suggestions,and provides corresponding theoretical and practical references for achieving low carbon agriculture development goals and energy conservation and emission reduction under the new normal strategic background.