Exploring the path of inter-provincial industrial transfer and carbon transfer in China via combination of multi-regional input–output and geographically weighted regression model

Due to the adjustment of China's regional industrial structure, some industries, especially industrial industries, are gradually transferring to the mainland. This process is also accompanied by carbon transfer. However, few studies focus on the consistency of industrial transfer and carbon tra...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yanan Wang, Xinran Wang, Wei Chen, Lu Qiu, Bowen Wang, Wenhao Niu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Industrial transfer Carbon transfer Multi-regional input–output model Geographically weighted regression model Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/ec06904c339641299db34cb9dc2245ae
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ec06904c339641299db34cb9dc2245ae
record_format	dspace
spelling	oai:doaj.org-article:ec06904c339641299db34cb9dc2245ae2021-12-01T04:47:59ZExploring the path of inter-provincial industrial transfer and carbon transfer in China via combination of multi-regional input–output and geographically weighted regression model1470-160X10.1016/j.ecolind.2021.107547https://doaj.org/article/ec06904c339641299db34cb9dc2245ae2021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21002120https://doaj.org/toc/1470-160XDue to the adjustment of China's regional industrial structure, some industries, especially industrial industries, are gradually transferring to the mainland. This process is also accompanied by carbon transfer. However, few studies focus on the consistency of industrial transfer and carbon transfer path, and do not consider the role of environmental regulation. Based on the multi-regional input–output (MRIO) model, this study measures the industrial transfer and carbon transfer of 30 provinces in China, and compares the path of industrial transfer and carbon transfer. Considering the spatial differences of provinces, the GWR model is used to investigate the impact of industrial structure, energy intensity, urbanization and environmental regulation on carbon transfer. The results show that the eastern coastal region is the largest industrial outflow area and the largest carbon inflow area. The direction of industrial transfer and carbon transfer is inconsistent, indicating that there are other factors that affect carbon transfer. Environmental regulation is negatively correlated with net carbon outflow. Industrial structure, energy intensity and urbanization all contribute to carbon transfer. Among them, energy intensity has the greatest impact on carbon transfer, and the elastic coefficient is above 8. Therefore, it is suggested to strengthen technological innovation, increase the development and utilization of renewable energy, and realize the diversified utilization of energy resources.Yanan WangXinran WangWei ChenLu QiuBowen WangWenhao NiuElsevierarticleIndustrial transferCarbon transferMulti-regional input–output modelGeographically weighted regression modelEcologyQH540-549.5ENEcological Indicators, Vol 125, Iss , Pp 107547- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Industrial transfer Carbon transfer Multi-regional input–output model Geographically weighted regression model Ecology QH540-549.5
spellingShingle	Industrial transfer Carbon transfer Multi-regional input–output model Geographically weighted regression model Ecology QH540-549.5 Yanan Wang Xinran Wang Wei Chen Lu Qiu Bowen Wang Wenhao Niu Exploring the path of inter-provincial industrial transfer and carbon transfer in China via combination of multi-regional input–output and geographically weighted regression model
description	Due to the adjustment of China's regional industrial structure, some industries, especially industrial industries, are gradually transferring to the mainland. This process is also accompanied by carbon transfer. However, few studies focus on the consistency of industrial transfer and carbon transfer path, and do not consider the role of environmental regulation. Based on the multi-regional input–output (MRIO) model, this study measures the industrial transfer and carbon transfer of 30 provinces in China, and compares the path of industrial transfer and carbon transfer. Considering the spatial differences of provinces, the GWR model is used to investigate the impact of industrial structure, energy intensity, urbanization and environmental regulation on carbon transfer. The results show that the eastern coastal region is the largest industrial outflow area and the largest carbon inflow area. The direction of industrial transfer and carbon transfer is inconsistent, indicating that there are other factors that affect carbon transfer. Environmental regulation is negatively correlated with net carbon outflow. Industrial structure, energy intensity and urbanization all contribute to carbon transfer. Among them, energy intensity has the greatest impact on carbon transfer, and the elastic coefficient is above 8. Therefore, it is suggested to strengthen technological innovation, increase the development and utilization of renewable energy, and realize the diversified utilization of energy resources.
format	article
author	Yanan Wang Xinran Wang Wei Chen Lu Qiu Bowen Wang Wenhao Niu
author_facet	Yanan Wang Xinran Wang Wei Chen Lu Qiu Bowen Wang Wenhao Niu
author_sort	Yanan Wang
title	Exploring the path of inter-provincial industrial transfer and carbon transfer in China via combination of multi-regional input–output and geographically weighted regression model
title_short	Exploring the path of inter-provincial industrial transfer and carbon transfer in China via combination of multi-regional input–output and geographically weighted regression model
title_full	Exploring the path of inter-provincial industrial transfer and carbon transfer in China via combination of multi-regional input–output and geographically weighted regression model
title_fullStr	Exploring the path of inter-provincial industrial transfer and carbon transfer in China via combination of multi-regional input–output and geographically weighted regression model
title_full_unstemmed	Exploring the path of inter-provincial industrial transfer and carbon transfer in China via combination of multi-regional input–output and geographically weighted regression model
title_sort	exploring the path of inter-provincial industrial transfer and carbon transfer in china via combination of multi-regional input–output and geographically weighted regression model
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/ec06904c339641299db34cb9dc2245ae
work_keys_str_mv	AT yananwang exploringthepathofinterprovincialindustrialtransferandcarbontransferinchinaviacombinationofmultiregionalinputoutputandgeographicallyweightedregressionmodel AT xinranwang exploringthepathofinterprovincialindustrialtransferandcarbontransferinchinaviacombinationofmultiregionalinputoutputandgeographicallyweightedregressionmodel AT weichen exploringthepathofinterprovincialindustrialtransferandcarbontransferinchinaviacombinationofmultiregionalinputoutputandgeographicallyweightedregressionmodel AT luqiu exploringthepathofinterprovincialindustrialtransferandcarbontransferinchinaviacombinationofmultiregionalinputoutputandgeographicallyweightedregressionmodel AT bowenwang exploringthepathofinterprovincialindustrialtransferandcarbontransferinchinaviacombinationofmultiregionalinputoutputandgeographicallyweightedregressionmodel AT wenhaoniu exploringthepathofinterprovincialindustrialtransferandcarbontransferinchinaviacombinationofmultiregionalinputoutputandgeographicallyweightedregressionmodel
_version_	1718405757604462592

Exploring the path of inter-provincial industrial transfer and carbon transfer in China via combination of multi-regional input–output and geographically weighted regression model

Ejemplares similares