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Analysis Of The Spatial And Temporal Evolution Characteristics And Influencing Factors Of Carbon Emissions From Food Consumption Of Urban And Rural Residents In China

Posted on:2024-02-01Degree:MasterType:Thesis
Country:ChinaCandidate:M Y PangFull Text:PDF
GTID:2531307067958239Subject:Agriculture
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The high quality development of economic and social,the continuous improvement of people’s living standards,and the improvement of dietary quality of residents,but there are still differences in the structure of food consumption between urban and rural residents.From the perspective of urban-rural differences,exploring the optimal path to reduce greenhouse gas emissions from food consumption has become a key focus of energy conservation and emission reduction under the "double carbon target".In this paper,we use the integrated carbon conversion coefficient method and input-output model to measure the per capita direct carbon emissions,household indirect carbon emissions and industrial indirect carbon emissions of food consumption of urban and rural residents in 31 provinces(autonomous regions and municipalities directly under the central government)from 2010 to 2020,analyze the characteristics of carbon emissions of food consumption during the study period,and conduct a spatial exploration of the total carbon emissions of food consumption.Finally,we analyzed the spatial heterogeneity influence factors through geographic detectors,and obtained the following main conclusions.(1)In terms of temporal characteristics,the per capita carbon emission of food consumption and total carbon emission of food consumption of urban and rural residents during the study period show an accelerated upward trend over time,with urban residents growing higher and faster than rural residents,with significant changes in the types of direct and household indirect carbon emission composition of urban and rural residents,but relatively small changes in quantity,and the largest proportion of industrial indirect carbon emission in food consumption carbon emission,while it is the urban and rural residents’ food This is one of the important reasons why the gap between urban and rural residents’ food consumption carbon emissions is widening year by year.(2)In terms of spatial characteristics,the total carbon emissions from food consumption of urban residents in the study area showed a significant positive spatial correlation during the study period.The trend of spatial agglomeration is "bimodal" due to economic and environmental factors,and the points with spatial agglomeration are concentrated in high-high agglomeration areas and low-low agglomeration areas,and regions with faster economic development and abundant resources are more likely to form high-high agglomeration areas than other regions.The regions with faster economic development and abundant resources are more likely to form high-high agglomerations than other regions,while the regions with smaller population and relatively backward development are more likely to form low-low agglomerations.There is no significant spatial correlation between the total carbon emissions of rural residents’ food consumption in each study area due to the current urban-rural dualistic development.(3)In terms of influencing factors,the factors of resident population,population movement,goods movement,agricultural,forestry,animal husbandry and fishery output value,and per capita plant food consumption all explain a high degree of spatial heterogeneity of total carbon emissions from resident food consumption during the study period.Among them,the impact of resident population is the highest;the impact of freight volume and cargo turnover indicators by region,which reflect the movement of goods,gradually increases;the impact of passenger volume and passenger turnover indicators by region,which reflect the movement of population,has a small decreasing trend;the impact of total output value of agriculture,forestry,animal husbandry and fishery fluctuates and increases during the study period;the impact of per capita plantbased food consumption passes the significance test in fewer years and has the lowest impact and gradually decreases.Based on the above findings,we propose countermeasures to reduce the carbon emissions of residents’ food consumption:(1)Reasonable dietary adjustment to reduce direct carbon emissions of food consumption;(2)Technological upgrading and transformation to reduce carbon emissions of food consumption households;(3)Whole industry chain upgrading and empowerment to reduce carbon emissions of food consumption industries;(4)Using spatial advantages to reduce carbon emissions of food consumption of urban and rural residents.
Keywords/Search Tags:Food consumption carbon emission, Urban-rural differences, Spatial correlation, Impact factor detection
PDF Full Text Request
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