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Regional Evaluation And Influencing Factors Of Provincial Urban And Rural Food Carbon Consumption In China Based On Various Statistical Methods

Posted on:2024-06-11Degree:MasterType:Thesis
Country:ChinaCandidate:J X TangFull Text:PDF
GTID:2557307079491474Subject:Applied statistics
Abstract/Summary:PDF Full Text Request
In the context of the increasing impact of human activities on the environment,sustainable consumption has become a global focus as a key component of the lowcarbon economy.Currently,household consumption is the foundation of social consumption,and research on its environmental impact is receiving widespread attention from the international academic community.Therefore,food consumption as an important component of household consumption,researching the food carbon consumption generated by food consumption is particularly important.This paper starts from the urban-rural and regional levels,firstly calculating the urban and rural food carbon consumption of 31 provinces in China,and then using grey correlation panel data clustering to regional division and evaluation.Based on this,the Theil index is used to analyze the regional differences in food carbon consumption of different types,and finally the LMDI method is used to analyze the influencing factors of food carbon consumption of different types.The research finds that:(1)Urban and rural residents are gradually shifting from a single consumption pattern dominated by plant food such as grains and vegetables to a diversified consumption pattern with equal emphasis both animal and plant food.The comprehensive carbon conversion coefficient of food and population size have a significant impact on food carbon consumption.(2)Compared with the single spatiotemporal characteristics of panel data only,and comprehensively considering the absolute quantity,increment speed and stability of panel data,the provincial optimal,medium and poor classification is more balanced.However,there are still fewer provinces that are evaluated as excellent in regional evaluation,and the food carbon consumption of urban and rural areas in many provinces still needs to be optimized.(3)The overall regional differences in food carbon consumption between urban and rural areas are increasing,and the total differences in rural areas are larger than that in urban areas.After 2002,the intra-regional differences are the main factor affecting the overall regional differences between urban and rural areas,among which the urban-rural differences are the main area influencing the intra-regional differences between urban and rural areas.(4)Residents’ affluence and Engel’s coefficient are the decisive factors for the changes in total food carbon consumption in urban areas,while food consumption intensity and residents’ affluence are the decisive factors for the changes in total food carbon consumption in rural areas.The contribution rates of factors affecting food carbon consumption in urban and rural middle classes can mostly reach the maximum among the three classes.Finally,in order to reduce food carbon consumption in a targeted manner and achieve sustainable food consumption,this paper suggests that the urban and rural differences and regional differences should be combined to establish the food carbon consumption level division standard and rating mechanism,and the policy measures for low carbon food consumption should be implemented.
Keywords/Search Tags:Food carbon consumption, Grey correlation analysis, Panel data clustering, Regional difference analysis, LMDI method
PDF Full Text Request
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