Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China.
School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China.
Environ Sci Pollut Res Int. 2022 Aug;29(38):58161-58178. doi: 10.1007/s11356-022-19784-w. Epub 2022 Apr 1.
In the 14th Five-Year Plan, China clearly proposed to achieve carbon peak by 2030 and carbon neutralization by 2060, which will be incorporated into the Ecological Civilization Construction. Therefore, it is particularly important to control the consumption of fossil energy in rural areas. Under this background, the paper is based on the filed survey data of rural households and uses the method of CLAD (the censored least absolute deviations) estimation of Tobit model to study the influencing factors and structural characteristics of rural households' energy consumption. The results show that the consumption of traditional energy with low-quality takes a main proportion of total energy consumption in rural households, which is unreasonable and needs transforming urgently. Also, there is heterogeneity among regions. Family characteristics, family wealth, and energy conservation initiative have an impact on total energy consumption and different types of energy. Especially, households with high frequency of energy conservation behavior and strong policy perception will reduce the consumption of high-polluting firewood and increase the use of coal and electricity.
在“十四五”规划中,中国明确提出要在 2030 年前实现碳达峰、2060 年前实现碳中和,并将其纳入生态文明建设整体布局。因此,控制农村地区的化石能源消费尤为重要。在此背景下,本文基于农户实地调查数据,采用受限最小绝对离差(CLAD)估计的 Tobit 模型方法,研究了农户能源消费的影响因素和结构特征。结果表明,农村家庭总能源消费中以低质传统能源消费为主,这种消费结构不合理,亟待转型。同时,区域间存在异质性。家庭特征、家庭财富和节能意识对总能源消费和不同类型能源消费都有影响。特别是,节能行为频率高、政策感知能力强的家庭会减少高污染薪柴的使用,增加煤炭和电力的使用。