School of Humanities and Social Sciences, Beijing Institutes of Technology, No. 5 South Zhongguancun Street, Haidian District, 100081, Beijing, P. R. China.
Rural Development Institute, Chinese Academy of Social Sciences, No.5, Jiangguomen Inner Street, Dongcheng District, 100871, Beijing, P. R. China.
Environ Sci Pollut Res Int. 2024 Oct;31(50):60539-60554. doi: 10.1007/s11356-024-35124-6. Epub 2024 Oct 10.
It has been widely recognized that accelerating green residential energy transition from traditional solid fuels (biomass and coal) to clean and high-efficient energy sources is critical for rural sustainable development. However, little attention has been paid to estimate panel data discrete choice models to analyze the dynamic behavior information of individual households in the process of energy transition. Hence, this paper investigates green residential energy transition using a panel dataset from 3308 rural households in eight provinces of China in 2015 and 2018. The results show that although traditional solid biomass still plays a dominating role in rural residential energy choice, fuel switching from solid fuels to modern clean energy alternatives is taking place. Off-farm employment plays an important role in the transition towards more sustainable energy sources, as households with off-farm employed heads and higher off-farm income level are highly likely to choose superior energy alternatives other than traditional biomass. Besides, the educational level of the household head and household location are also important influencing factors of household residential energy choices. Based on these findings, this paper suggests that job creation in non-farm sectors should be given a priority in future policy design to promote rural green energy transition in residential sector. North-south differences should be taken into account, whereas more policy options for optimizing biomass energy use should be explored.
人们普遍认识到，加速绿色住宅能源转型，将传统固体燃料（生物质和煤炭）转变为清洁高效的能源，对农村可持续发展至关重要。然而，人们很少关注估计面板数据离散选择模型，以分析能源转型过程中个体家庭的动态行为信息。因此，本文利用 2015 年和 2018 年中国 8 个省份的 3308 户农村家庭的面板数据集，研究了绿色住宅能源转型。结果表明，尽管传统固体生物质仍在农村住宅能源选择中占据主导地位，但从固体燃料向现代清洁能源的燃料转换正在发生。非农就业在向更可持续的能源转型中起着重要作用，因为有非农就业的家庭户主和更高的非农收入水平的家庭更有可能选择优于传统生物质的能源替代品。此外，户主的教育水平和家庭所在地也是影响家庭住宅能源选择的重要因素。基于这些发现，本文建议在未来的政策设计中优先考虑非农部门的就业创造，以促进农村住宅部门的绿色能源转型。应考虑南北差异，并应探索更多优化生物质能利用的政策选择。
