非农就业人数
能源消耗
经济
消费(社会学)
人均
人均收入
劳动经济学
人口经济学
农业经济学
农业
环境卫生
人口
地理
工程类
人口学
医学
电气工程
社会学
考古
社会科学
作者
Shaoyue Ma,Hecheng Man,Xiao Li,Xiangbo Xu,Mingxing Sun,Minghui Xie,Linxiu Zhang
出处
期刊:Energy
[Elsevier BV]
日期:2022-12-21
卷期号:267: 126486-126486
被引量:17
标识
DOI:10.1016/j.energy.2022.126486
摘要
Amid the rapid increase of energy consumption, the air pollution and related health problems caused by traditional energy consumption have become increasingly severe in rural areas, and it is now urgent to expand clean energy consumption and achieve energy upgrades. Nonfarm employment can significantly raise rural residents' incomes, which can then affect the available energy consumption choices. However, whether nonfarm employment can promote the transition of energy consumption and its potential influencing mechanisms must be further studied. Based on 2018 survey data on energy consumption in rural China, a cross-sectional regression method with instrumental variables is used to explore the effect of nonfarm employment on energy consumption. The results demonstrate that nonfarm employment has a significantly positive impact on energy efficiency and effective energy consumption per capita, but no significant impact is found on total energy consumption per capita. Specifically, nonfarm employment increases electricity, natural gas, and liquefied petroleum gas consumption, and reduces coal and biomass energy consumption. Nonfarm employment can affect household energy consumption in rural areas through income, demonstration, and labor effects. Income effect indicates that when nonfarm income increases by 1%, energy efficiency significantly increases by 0.108%, and effective energy consumption per capita significantly increases by 0.074%. Demonstration effect indicates that nonfarm employment outside the county significantly improves energy efficiency. Labor effect indicating that the threshold values of nonfarm employment time on energy efficiency and effective energy consumption are 10.278 standard working months and 11.367 standard working months. The research shows that nonfarm employment plays an important role in the clean and efficient transformation of energy in rural areas.
科研通智能强力驱动
Strongly Powered by AbleSci AI