Structural decomposition and Regional Sensitivity Analysis of industrial consumption embedded emissions from Chinese households

Households play a vital role in producing industrial emissions through final-consumption. As a result, related literature focuses mainly on the drivers of household demand embedded industrial production (DEIP) emissions. Recent evidence on industrial emissions, however, shows that targeting industri...

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Autor principal:	Muhammad Jawad Sajid
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Carbon emission Structural decomposition analysis Input-output model Hypothetical extraction method Household Regional Sensitivity Analysis (RSA) Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/3429053afec04ddd922c6e562a30a477
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spelling	oai:doaj.org-article:3429053afec04ddd922c6e562a30a4772021-12-01T04:39:57ZStructural decomposition and Regional Sensitivity Analysis of industrial consumption embedded emissions from Chinese households1470-160X10.1016/j.ecolind.2020.107237https://doaj.org/article/3429053afec04ddd922c6e562a30a4772021-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20311766https://doaj.org/toc/1470-160XHouseholds play a vital role in producing industrial emissions through final-consumption. As a result, related literature focuses mainly on the drivers of household demand embedded industrial production (DEIP) emissions. Recent evidence on industrial emissions, however, shows that targeting industrial carbon consumers and their final demand, particularly from households, is much more effective. Unfortunately, there isn't much literature on household demand embedded industrial consumption (DEIC) emissions. The aim of this study is to develop a model that can help analyze the impact of key drivers on household DEIC emissions. The model is applied to Chinese urban and rural household DEIC emissions. Additionally, the study also employees Regional Sensitivity Analysis to rank and map the most influential factors of Chinese rural and urban DEIC emissions. Results showed that for both rural and urban households, income/capita with an average impact of 35 Mt and 111 Mt was the main driver of DEIC emissions growth. Income/capita was also the most sensitive factor for rural and urban DEIC emissions. The consumer industry's Leontief effect (technology) had the second largest positive effect on both rural and urban household DEIC emissions. However, for rural and urban households, the second most sensitive factors were different. Emission intensity for rural households and consumption tendency for urban households had the greatest negative effects on respective DEIC emissions. Finally, the article discusses results, highlighting policy implications for reducing rural and urban household DEIC emissions.Muhammad Jawad SajidElsevierarticleCarbon emissionStructural decomposition analysisInput-output modelHypothetical extraction methodHouseholdRegional Sensitivity Analysis (RSA)EcologyQH540-549.5ENEcological Indicators, Vol 122, Iss , Pp 107237- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Carbon emission Structural decomposition analysis Input-output model Hypothetical extraction method Household Regional Sensitivity Analysis (RSA) Ecology QH540-549.5
spellingShingle	Carbon emission Structural decomposition analysis Input-output model Hypothetical extraction method Household Regional Sensitivity Analysis (RSA) Ecology QH540-549.5 Muhammad Jawad Sajid Structural decomposition and Regional Sensitivity Analysis of industrial consumption embedded emissions from Chinese households
description	Households play a vital role in producing industrial emissions through final-consumption. As a result, related literature focuses mainly on the drivers of household demand embedded industrial production (DEIP) emissions. Recent evidence on industrial emissions, however, shows that targeting industrial carbon consumers and their final demand, particularly from households, is much more effective. Unfortunately, there isn't much literature on household demand embedded industrial consumption (DEIC) emissions. The aim of this study is to develop a model that can help analyze the impact of key drivers on household DEIC emissions. The model is applied to Chinese urban and rural household DEIC emissions. Additionally, the study also employees Regional Sensitivity Analysis to rank and map the most influential factors of Chinese rural and urban DEIC emissions. Results showed that for both rural and urban households, income/capita with an average impact of 35 Mt and 111 Mt was the main driver of DEIC emissions growth. Income/capita was also the most sensitive factor for rural and urban DEIC emissions. The consumer industry's Leontief effect (technology) had the second largest positive effect on both rural and urban household DEIC emissions. However, for rural and urban households, the second most sensitive factors were different. Emission intensity for rural households and consumption tendency for urban households had the greatest negative effects on respective DEIC emissions. Finally, the article discusses results, highlighting policy implications for reducing rural and urban household DEIC emissions.
format	article
author	Muhammad Jawad Sajid
author_facet	Muhammad Jawad Sajid
author_sort	Muhammad Jawad Sajid
title	Structural decomposition and Regional Sensitivity Analysis of industrial consumption embedded emissions from Chinese households
title_short	Structural decomposition and Regional Sensitivity Analysis of industrial consumption embedded emissions from Chinese households
title_full	Structural decomposition and Regional Sensitivity Analysis of industrial consumption embedded emissions from Chinese households
title_fullStr	Structural decomposition and Regional Sensitivity Analysis of industrial consumption embedded emissions from Chinese households
title_full_unstemmed	Structural decomposition and Regional Sensitivity Analysis of industrial consumption embedded emissions from Chinese households
title_sort	structural decomposition and regional sensitivity analysis of industrial consumption embedded emissions from chinese households
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/3429053afec04ddd922c6e562a30a477
work_keys_str_mv	AT muhammadjawadsajid structuraldecompositionandregionalsensitivityanalysisofindustrialconsumptionembeddedemissionsfromchinesehouseholds
_version_	1718405804927746048

Structural decomposition and Regional Sensitivity Analysis of industrial consumption embedded emissions from Chinese households

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