Index Decomposition Analysis on Factors Affecting Energy-Related Carbon Dioxide Emissions from Residential Consumption in Beijing

Beijing’s residential CO2 emissions have become the main growth point of CO2 emissions. However, the impact factors of the direct energy-related CO2 emissions from residents in Beijing have not been previously evaluated. This paper accessed the key factors that affect the residents’ CO2 emissions in...

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Main Authors: Fengyan Fan, Yalin Lei
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2017/4963907
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spelling doaj-9e986e8a8fdd4a53ad400571832a309c2020-11-24T21:24:58ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/49639074963907Index Decomposition Analysis on Factors Affecting Energy-Related Carbon Dioxide Emissions from Residential Consumption in BeijingFengyan Fan0Yalin Lei1Research Center for Strategy of Global Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, ChinaSchool of Humanities and Economic Management, China University of Geosciences, Beijing 100083, ChinaBeijing’s residential CO2 emissions have become the main growth point of CO2 emissions. However, the impact factors of the direct energy-related CO2 emissions from residents in Beijing have not been previously evaluated. This paper accessed the key factors that affect the residents’ CO2 emissions in Beijing from 1995 to 2015, using a newly built decomposition model with generalized Fisher index (GFI) and M-P model. The results were compared between urban and rural areas. Urban residential CO2 emissions did not change during 1995–1999 but then grew rapidly after 1999, while rural residential CO2 emissions fluctuated during the studied period. Increased per capita income is the most important pulling factor for the growth of residential CO2 emissions, while energy consumption intensity is a decisive factor in inhibiting residential CO2 emissions. Population size plays a pulling role in the growth of residential CO2 emissions. Energy structure exerts a role in inhibiting residential CO2 emissions, and its inhibition effect is stronger for urban residents. Average consumption propensity inhibits urban residential CO2 emissions but has little effect on rural residential CO2 emissions. The population migration from rural to urban areas in the urbanization process increases residential CO2 emissions. To reduce residential CO2 emissions, several recommendations have been proposed.http://dx.doi.org/10.1155/2017/4963907
collection DOAJ
language English
format Article
sources DOAJ
author Fengyan Fan
Yalin Lei
spellingShingle Fengyan Fan
Yalin Lei
Index Decomposition Analysis on Factors Affecting Energy-Related Carbon Dioxide Emissions from Residential Consumption in Beijing
Mathematical Problems in Engineering
author_facet Fengyan Fan
Yalin Lei
author_sort Fengyan Fan
title Index Decomposition Analysis on Factors Affecting Energy-Related Carbon Dioxide Emissions from Residential Consumption in Beijing
title_short Index Decomposition Analysis on Factors Affecting Energy-Related Carbon Dioxide Emissions from Residential Consumption in Beijing
title_full Index Decomposition Analysis on Factors Affecting Energy-Related Carbon Dioxide Emissions from Residential Consumption in Beijing
title_fullStr Index Decomposition Analysis on Factors Affecting Energy-Related Carbon Dioxide Emissions from Residential Consumption in Beijing
title_full_unstemmed Index Decomposition Analysis on Factors Affecting Energy-Related Carbon Dioxide Emissions from Residential Consumption in Beijing
title_sort index decomposition analysis on factors affecting energy-related carbon dioxide emissions from residential consumption in beijing
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2017-01-01
description Beijing’s residential CO2 emissions have become the main growth point of CO2 emissions. However, the impact factors of the direct energy-related CO2 emissions from residents in Beijing have not been previously evaluated. This paper accessed the key factors that affect the residents’ CO2 emissions in Beijing from 1995 to 2015, using a newly built decomposition model with generalized Fisher index (GFI) and M-P model. The results were compared between urban and rural areas. Urban residential CO2 emissions did not change during 1995–1999 but then grew rapidly after 1999, while rural residential CO2 emissions fluctuated during the studied period. Increased per capita income is the most important pulling factor for the growth of residential CO2 emissions, while energy consumption intensity is a decisive factor in inhibiting residential CO2 emissions. Population size plays a pulling role in the growth of residential CO2 emissions. Energy structure exerts a role in inhibiting residential CO2 emissions, and its inhibition effect is stronger for urban residents. Average consumption propensity inhibits urban residential CO2 emissions but has little effect on rural residential CO2 emissions. The population migration from rural to urban areas in the urbanization process increases residential CO2 emissions. To reduce residential CO2 emissions, several recommendations have been proposed.
url http://dx.doi.org/10.1155/2017/4963907
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