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农村用电碳排放变化驱动因素研究
引用本文:卢晓晴,方媛,梁泽奇. 农村用电碳排放变化驱动因素研究[J]. 广东工业大学学报, 2021, 38(5): 90-96. DOI: 10.12052/gdutxb.200145
作者姓名:卢晓晴  方媛  梁泽奇
作者单位:1. 广东工业大学 土木与交通工程学院,广东 广州 510006;2. 肇庆市供电局,广东 肇庆 526300
基金项目:国家自然科学基金资助项目(51608132)
摘    要:随着农村经济的不断发展,?农村能源消费正逐步由生物质能源向电力转变.因此,?从农村视角识别影响农村用电碳排放的潜在驱动因素,?是我国推进农村低碳发展、实现碳减排目标的重要前提.本文采用基于人口、富裕度和技术的随机影响回归模型(Stochastic?Impacts?by?Regression?on?Population,...

关 键 词:碳排放  农村用电  脱钩分析
收稿时间:2020-10-30

A Driving Factors Analysis of the Carbon Emission Change of Rural Electricity Consumption
Lu Xiao-qing,Fang Yuan,Liang Ze-qi. A Driving Factors Analysis of the Carbon Emission Change of Rural Electricity Consumption[J]. Journal of Guangdong University of Technology, 2021, 38(5): 90-96. DOI: 10.12052/gdutxb.200145
Authors:Lu Xiao-qing  Fang Yuan  Liang Ze-qi
Affiliation:1. School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China;2. Zhaoqing Power Supply Bureau, Zhaoqing 526300, China
Abstract:With the continuous development of rural economy, rural energy consumption is gradually changing from biomass energy to electricity. Therefore, identifying the potential driving factors of rural electricity carbon emissions from the perspective of rural areas is an important prerequisite for promoting rural low-carbon development and achieving carbon emission reduction goals. In this study, Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and ridge regression are used to analyze the influencing factors of carbon emissions from rural electricity consumption in Guangdong Province from 2005 to 2018. The results show that urbanization level, agricultural economic development level, effective irrigation area, agricultural mechanization level, agricultural fixed assets investment, income level and housing conditions are positively correlated with carbon emissions from rural power consumption. Among them, the per capita disposable income of rural residents is the most important factor affecting the carbon emission of rural electricity. In addition, there is a weak decoupling relationship between agricultural economic development and rural electricity carbon emissions. Finally, policy suggestions are put forward on how to reduce rural electricity carbon emissions in Guangdong Province.
Keywords:carbon emissions  rural electricity consumption  decoupling analysis  
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