Substantial transition to clean household energy mix in rural China

被引:1
|
作者
Guofeng Shen [1 ]
Rui Xiong [1 ]
Yanlin Tian [1 ,2 ]
Zhihan Luo [1 ]
Bahabaike Jiangtulu [3 ]
Wenjun Meng [1 ]
Wei Du [4 ]
Jing Meng [5 ]
Yuanchen Chen [6 ]
Bing Xue [7 ]
Bin Wang [3 ,8 ]
Yonghong Duan [9 ]
Jia Duo [10 ,11 ,12 ]
Fenggui Fan [13 ]
Lei Huang [14 ]
Tianzhen Ju [15 ]
Fenggui Liu [16 ,17 ]
Shunxin Li [18 ]
Xianli Liu [19 ]
Yungui Li [20 ]
Mu Wang [21 ]
Ying Nan [22 ]
Bo Pan [23 ]
Yanfang Pan [24 ]
Lizhi Wang [25 ]
Eddy Zeng [26 ]
Chao Zhan [27 ]
Yilin Chen [28 ]
Huizhong Shen [28 ]
Hefa Cheng [1 ]
Shu Tao [1 ,28 ]
机构
[1] Xinjiang Key Laboratory of Environmental Pollution and Bioremediation, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences
[2] National Engineering Technology Research Center for Desert-Oasis Ecological Construction, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences
[3] University of Chinese Academy of Sciences
[4] School of Geography and Tourism, Anhui University
[5] School of Environment,Nanjing University
[6] College of Geography and Environmental Science,Northwest Normal University
[7] College of Geographical Science,Qinghai Normal University
[8] Academy of Plateau Science and Sustainability
[9] College of Chemistry,Chemical Engineering and Environment, Minnan Normal University
[10] School of Environmental Science and Engineering,Hubei Polytechnic University
[11] College of Urban and Environmental Sciences,Peking University
[12] Department of Environmental Engineering,Southwest University of Science and Technology
[13] College of Food Science,Tibet Agricultural and Animal Husbandry University
[14] College of Geography and Ocean Sciences, Yanbian University
[15] Faculty of Environmental Science and Engineering,Kunming University of Science and Technology
[16] College of Geography and Environmental Science,Henan University
[17] College of Ecology and Environment,Hainan University
[18] School of Environment, Jinan University
[19] Institute of Coastal Research, Ludong University
[20] College of Environmental Science and Technology, Southern University of Science and Technology
[21] Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC),Nanjing University of Information Science and Technology
[22] Institute of Reproductive and Child Health, Peking University
[23] Laboratory of Geographic Information Science, School of Geographic Sciences, East China Normal University
[24] The Bartlett School of Sustainable Construction,University College London
[25] College of Environment,Zhejiang University of Technology
[26] Institute of Applied Ecology, Chinese Academy of Sciences
[27] Department of Epidemiology and Biostatistics, School of Public Health, Peking University
[28] College of Resources and Environment, Shanxi Agricultural University
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
F323.214 [];
学科分类号
082802 ; 082803 ; 120405 ;
摘要
The household energy mix has significant impacts on human health and climate,as it contributes greatly to many health-and climate-relevant air pollutants.Compared to the well-established urban energy statistical system,the rural hous ehold energy statistical system is incomplete and is often associated with high biases.Via a nationwide investigation,this study reve aled high contributions to energy supply from coal and biomass fuels in the rural household energy sector,while electricity comprised ~20%.Stacking(the use of multiple sources of energy) is significant,and the average number of energy types was 2.8 per household.Compared to 2012,the consumption of biomass and coals in 2017 decreased by 45% and 12%,respectively,while the gas consumption amount increased by 204%.Increased gas and decreased coal consumptions were mainly in cooking,while decreased biomass was in both cooking(41%) and heating(59%).The time-sharing fraction of electricity and gases(E&G) for daily cooking grew,reaching 69% in 2017,but for space heating,traditional solid fuels were still dominant,with the national average shared fraction of E&G being only 20%.The non-uniform spatial distribution and the non-linear increase in the fraction of E&G indicated challenges to achieving universal access to modern cooking energy by 2030,particularly in less-developed rural and mountainous areas.In some non-typical heating zones,the increased share of E&G for heating was significant and largely driven by income growth,but in typical heating zones,the time-sharing fraction was <5 % and was not significantly increased,except in areas with policy intervention.The intervention policy not only led to dramatic increases in the clean energy fraction for heating but also accelerated the clean cooking transition.Higher income,higher education,younger age,less energy/stove stacking and smaller family size positively impacted the clean energy transition.
引用
收藏
页码:137 / 151
页数:15
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