Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis

With the rapid progress of socio-economic development and urbanization in China, a wide variety of literature has focused on the phenomenon of energy-consumption disparity, which in turn could be related to numerous fundamental energy dilemmas that China must deal with now or soon, including energy...

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Autores principales:	Ling Yang, Kai Zhao, Yankai Zhao, Mengyuan Zhong
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	energy consumption difference Gini coefficient Lorentz asymmetry coefficient urban–rural difference biomass energy space heating Technology T
Acceso en línea:	https://doaj.org/article/60f34afcacc8439d947415f52f239350
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spelling	oai:doaj.org-article:60f34afcacc8439d947415f52f2393502021-11-11T15:55:51ZIdentifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis10.3390/en142171491996-1073https://doaj.org/article/60f34afcacc8439d947415f52f2393502021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7149https://doaj.org/toc/1996-1073With the rapid progress of socio-economic development and urbanization in China, a wide variety of literature has focused on the phenomenon of energy-consumption disparity, which in turn could be related to numerous fundamental energy dilemmas that China must deal with now or soon, including energy use inefficiency, regional energy shortage, insufficient use of green energy, etc. However, in most cases, only a tendency scenario is discussed, while identifying which factors are more likely to affect the improvement of energy supply/use has not yet been fully explored. Therefore, this paper attempts to explore differences in energy consumption in specific, household-level aspects. Based on the information provided by Chinese General Social Survey (CGSS2015), the Gini coefficient and the Lorentz asymmetry coefficient are used to measure the difference among various categories of energy type and end use within and between different geographical sub-groups. The findings show that: (1) household energy-consumption behaviors exhibit a complicated effect on the overall level of energy-consumption difference; (2) from the supply side, energy users show the most significant difference in biomass energy consumption, while from the demand side, the contribution of space heating to the difference in total energy consumption is the highest; (3) a great urban–rural difference in energy consumption is generally observed with its difference within rural areas being much greater than in urban areas; (4) the eastern, middle and western regions weight differently in explaining the overall difference of energy consumption. These findings provide meaningful materials and references for policymakers in China to understand the overall situation of individual energy consumption to a great extent, and to locate key points to reform the current energy policy framework.Ling YangKai ZhaoYankai ZhaoMengyuan ZhongMDPI AGarticleenergy consumption differenceGini coefficientLorentz asymmetry coefficienturban–rural differencebiomass energyspace heatingTechnologyTENEnergies, Vol 14, Iss 7149, p 7149 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	energy consumption difference Gini coefficient Lorentz asymmetry coefficient urban–rural difference biomass energy space heating Technology T
spellingShingle	energy consumption difference Gini coefficient Lorentz asymmetry coefficient urban–rural difference biomass energy space heating Technology T Ling Yang Kai Zhao Yankai Zhao Mengyuan Zhong Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis
description	With the rapid progress of socio-economic development and urbanization in China, a wide variety of literature has focused on the phenomenon of energy-consumption disparity, which in turn could be related to numerous fundamental energy dilemmas that China must deal with now or soon, including energy use inefficiency, regional energy shortage, insufficient use of green energy, etc. However, in most cases, only a tendency scenario is discussed, while identifying which factors are more likely to affect the improvement of energy supply/use has not yet been fully explored. Therefore, this paper attempts to explore differences in energy consumption in specific, household-level aspects. Based on the information provided by Chinese General Social Survey (CGSS2015), the Gini coefficient and the Lorentz asymmetry coefficient are used to measure the difference among various categories of energy type and end use within and between different geographical sub-groups. The findings show that: (1) household energy-consumption behaviors exhibit a complicated effect on the overall level of energy-consumption difference; (2) from the supply side, energy users show the most significant difference in biomass energy consumption, while from the demand side, the contribution of space heating to the difference in total energy consumption is the highest; (3) a great urban–rural difference in energy consumption is generally observed with its difference within rural areas being much greater than in urban areas; (4) the eastern, middle and western regions weight differently in explaining the overall difference of energy consumption. These findings provide meaningful materials and references for policymakers in China to understand the overall situation of individual energy consumption to a great extent, and to locate key points to reform the current energy policy framework.
format	article
author	Ling Yang Kai Zhao Yankai Zhao Mengyuan Zhong
author_facet	Ling Yang Kai Zhao Yankai Zhao Mengyuan Zhong
author_sort	Ling Yang
title	Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis
title_short	Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis
title_full	Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis
title_fullStr	Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis
title_full_unstemmed	Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis
title_sort	identifying key factors in determining disparities in energy consumption in china: a household level analysis
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/60f34afcacc8439d947415f52f239350
work_keys_str_mv	AT lingyang identifyingkeyfactorsindeterminingdisparitiesinenergyconsumptioninchinaahouseholdlevelanalysis AT kaizhao identifyingkeyfactorsindeterminingdisparitiesinenergyconsumptioninchinaahouseholdlevelanalysis AT yankaizhao identifyingkeyfactorsindeterminingdisparitiesinenergyconsumptioninchinaahouseholdlevelanalysis AT mengyuanzhong identifyingkeyfactorsindeterminingdisparitiesinenergyconsumptioninchinaahouseholdlevelanalysis
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Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis

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