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Substantial transition to clean household energy mix in rural China

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 household energy statistical system is incomplete and is often asso...

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Autores principales: Shen, Guofeng, Xiong, Rui, Tian, Yanlin, Luo, Zhihan, Jiangtulu, Bahabaike, Meng, Wenjun, Du, Wei, Meng, Jing, Chen, Yuanchen, Xue, Bing, Wang, Bin, Duan, Yonghong, Duo, Jia, Fan, Fenggui, Huang, Lei, Ju, Tianzhen, Liu, Fenggui, Li, Shunxin, Liu, Xianli, Li, Yungui, Wang, Mu, Nan, Ying, Pan, Bo, Pan, Yanfang, Wang, Lizhi, Zeng, Eddy, Zhan, Chao, Chen, Yilin, Shen, Huizhong, Cheng, Hefa, Tao, Shu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283105/
https://www.ncbi.nlm.nih.gov/pubmed/35854783
http://dx.doi.org/10.1093/nsr/nwac050
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author Shen, Guofeng
Xiong, Rui
Tian, Yanlin
Luo, Zhihan
Jiangtulu, Bahabaike
Meng, Wenjun
Du, Wei
Meng, Jing
Chen, Yuanchen
Xue, Bing
Wang, Bin
Duan, Yonghong
Duo, Jia
Fan, Fenggui
Huang, Lei
Ju, Tianzhen
Liu, Fenggui
Li, Shunxin
Liu, Xianli
Li, Yungui
Wang, Mu
Nan, Ying
Pan, Bo
Pan, Yanfang
Wang, Lizhi
Zeng, Eddy
Zhan, Chao
Chen, Yilin
Shen, Huizhong
Cheng, Hefa
Tao, Shu
author_facet Shen, Guofeng
Xiong, Rui
Tian, Yanlin
Luo, Zhihan
Jiangtulu, Bahabaike
Meng, Wenjun
Du, Wei
Meng, Jing
Chen, Yuanchen
Xue, Bing
Wang, Bin
Duan, Yonghong
Duo, Jia
Fan, Fenggui
Huang, Lei
Ju, Tianzhen
Liu, Fenggui
Li, Shunxin
Liu, Xianli
Li, Yungui
Wang, Mu
Nan, Ying
Pan, Bo
Pan, Yanfang
Wang, Lizhi
Zeng, Eddy
Zhan, Chao
Chen, Yilin
Shen, Huizhong
Cheng, Hefa
Tao, Shu
author_sort Shen, Guofeng
collection PubMed
description 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 household energy statistical system is incomplete and is often associated with high biases. Via a nationwide investigation, this study revealed 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.
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spelling pubmed-92831052022-07-18 Substantial transition to clean household energy mix in rural China Shen, Guofeng Xiong, Rui Tian, Yanlin Luo, Zhihan Jiangtulu, Bahabaike Meng, Wenjun Du, Wei Meng, Jing Chen, Yuanchen Xue, Bing Wang, Bin Duan, Yonghong Duo, Jia Fan, Fenggui Huang, Lei Ju, Tianzhen Liu, Fenggui Li, Shunxin Liu, Xianli Li, Yungui Wang, Mu Nan, Ying Pan, Bo Pan, Yanfang Wang, Lizhi Zeng, Eddy Zhan, Chao Chen, Yilin Shen, Huizhong Cheng, Hefa Tao, Shu Natl Sci Rev Research Article 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 household energy statistical system is incomplete and is often associated with high biases. Via a nationwide investigation, this study revealed 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. Oxford University Press 2022-03-14 /pmc/articles/PMC9283105/ /pubmed/35854783 http://dx.doi.org/10.1093/nsr/nwac050 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Shen, Guofeng
Xiong, Rui
Tian, Yanlin
Luo, Zhihan
Jiangtulu, Bahabaike
Meng, Wenjun
Du, Wei
Meng, Jing
Chen, Yuanchen
Xue, Bing
Wang, Bin
Duan, Yonghong
Duo, Jia
Fan, Fenggui
Huang, Lei
Ju, Tianzhen
Liu, Fenggui
Li, Shunxin
Liu, Xianli
Li, Yungui
Wang, Mu
Nan, Ying
Pan, Bo
Pan, Yanfang
Wang, Lizhi
Zeng, Eddy
Zhan, Chao
Chen, Yilin
Shen, Huizhong
Cheng, Hefa
Tao, Shu
Substantial transition to clean household energy mix in rural China
title Substantial transition to clean household energy mix in rural China
title_full Substantial transition to clean household energy mix in rural China
title_fullStr Substantial transition to clean household energy mix in rural China
title_full_unstemmed Substantial transition to clean household energy mix in rural China
title_short Substantial transition to clean household energy mix in rural China
title_sort substantial transition to clean household energy mix in rural china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283105/
https://www.ncbi.nlm.nih.gov/pubmed/35854783
http://dx.doi.org/10.1093/nsr/nwac050
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