Mapping China's flows of emissions in the world's carbon footprint: A network approach of production layers

We propose a combination of a structural path analysis (SPA) with the complex network analysis to capture the existence of different sector or industry clusters in the transmission of carbon emissions from China to the rest of worlds economy through imports. We used OECD-ICIO input-output framework...

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Detalles Bibliográficos
Autores: López Santiago, Luis Antonio, Arce González, Guadalupe, Jiang, Xuemei
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/46283
Acceso en línea:https://hdl.handle.net/10578/46283
Access Level:acceso abierto
Palabra clave:Carbon footprint
Emissions embodied in trade
Multiregional input-output model
Network analysis
Processing exports
Structural path analysis
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spelling Mapping China's flows of emissions in the world's carbon footprint: A network approach of production layersLópez Santiago, Luis AntonioArce González, GuadalupeJiang, XuemeiCarbon footprintEmissions embodied in tradeMultiregional input-output modelNetwork analysisProcessing exportsStructural path analysisWe propose a combination of a structural path analysis (SPA) with the complex network analysis to capture the existence of different sector or industry clusters in the transmission of carbon emissions from China to the rest of worlds economy through imports. We used OECD-ICIO input-output framework and identified different types of communities as boosts and suppliers of carbon emissions by type of industry, type of final demand, and the different stages of production.We have found that some worldwide industries, such as consumption of textiles and wholesale and retail trade, could reduce the emissions generated in China by collaborating with their direct suppliers since they receive a large part of their emissions from the first and second stage of production. However, it is not so easy for other consumption industries, such as food, computers, motor vehicles and most of the service industries, which are more diffuse ones, and incorporate most of their carbon emissions from China from furthest stages of production (3 to 9). In terms of economic policy, this imply that if these industries (or firms) that supply the final demand of the world economy want to reduce a significant part of their emissions generated in China, it should be through establishing collaboration agreements with the suppliers in China that are in the remote stages of the production process, which entails higher transaction costs.Elsevier202620262020info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://hdl.handle.net/10578/46283reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésECO2016-78939-Rinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/462832026-05-27T07:36:41Z
dc.title.none.fl_str_mv Mapping China's flows of emissions in the world's carbon footprint: A network approach of production layers
title Mapping China's flows of emissions in the world's carbon footprint: A network approach of production layers
spellingShingle Mapping China's flows of emissions in the world's carbon footprint: A network approach of production layers
López Santiago, Luis Antonio
Carbon footprint
Emissions embodied in trade
Multiregional input-output model
Network analysis
Processing exports
Structural path analysis
title_short Mapping China's flows of emissions in the world's carbon footprint: A network approach of production layers
title_full Mapping China's flows of emissions in the world's carbon footprint: A network approach of production layers
title_fullStr Mapping China's flows of emissions in the world's carbon footprint: A network approach of production layers
title_full_unstemmed Mapping China's flows of emissions in the world's carbon footprint: A network approach of production layers
title_sort Mapping China's flows of emissions in the world's carbon footprint: A network approach of production layers
dc.creator.none.fl_str_mv López Santiago, Luis Antonio
Arce González, Guadalupe
Jiang, Xuemei
author López Santiago, Luis Antonio
author_facet López Santiago, Luis Antonio
Arce González, Guadalupe
Jiang, Xuemei
author_role author
author2 Arce González, Guadalupe
Jiang, Xuemei
author2_role author
author
dc.subject.none.fl_str_mv Carbon footprint
Emissions embodied in trade
Multiregional input-output model
Network analysis
Processing exports
Structural path analysis
topic Carbon footprint
Emissions embodied in trade
Multiregional input-output model
Network analysis
Processing exports
Structural path analysis
description We propose a combination of a structural path analysis (SPA) with the complex network analysis to capture the existence of different sector or industry clusters in the transmission of carbon emissions from China to the rest of worlds economy through imports. We used OECD-ICIO input-output framework and identified different types of communities as boosts and suppliers of carbon emissions by type of industry, type of final demand, and the different stages of production.We have found that some worldwide industries, such as consumption of textiles and wholesale and retail trade, could reduce the emissions generated in China by collaborating with their direct suppliers since they receive a large part of their emissions from the first and second stage of production. However, it is not so easy for other consumption industries, such as food, computers, motor vehicles and most of the service industries, which are more diffuse ones, and incorporate most of their carbon emissions from China from furthest stages of production (3 to 9). In terms of economic policy, this imply that if these industries (or firms) that supply the final demand of the world economy want to reduce a significant part of their emissions generated in China, it should be through establishing collaboration agreements with the suppliers in China that are in the remote stages of the production process, which entails higher transaction costs.
publishDate 2020
dc.date.none.fl_str_mv 2020
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10578/46283
url https://hdl.handle.net/10578/46283
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv ECO2016-78939-R
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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