The Determinants of Carbon Emissions in the Chinese Construction Industry: A Spatial Analysis

As the largest carbon emitter in the world, China is confronted with great challenges of mitigating carbon emissions, especially from its construction industry. Yet, the understanding of carbon emissions in the construction industry remains limited. As one of the first few attempts, this paper contr...

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Main Authors: Na Lu, Shuyi Feng, Ziming Liu, Weidong Wang, Hualiang Lu, Miao Wang
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/4/1428
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spelling doaj-6b8bcc0f72a645c780f227a8941966fe2020-11-25T02:20:56ZengMDPI AGSustainability2071-10502020-02-01124142810.3390/su12041428su12041428The Determinants of Carbon Emissions in the Chinese Construction Industry: A Spatial AnalysisNa Lu0Shuyi Feng1Ziming Liu2Weidong Wang3Hualiang Lu4Miao Wang5School of Finance and Economics, Jiangsu University, Zhenjiang 212013, ChinaCollege of Public Administration, Nanjing Agricultural University, Nanjing 210095, ChinaSchool of Social and Public Administration, East China University of Science and Technology, Shanghai 200237, ChinaSchool of Finance and Economics, Jiangsu University, Zhenjiang 212013, ChinaSchool of Business, Changzhou University, Changzhou 213146, ChinaSchool of Finance and Economics, Jiangsu University, Zhenjiang 212013, ChinaAs the largest carbon emitter in the world, China is confronted with great challenges of mitigating carbon emissions, especially from its construction industry. Yet, the understanding of carbon emissions in the construction industry remains limited. As one of the first few attempts, this paper contributes to the literature by identifying the determinants of carbon emissions in the Chinese construction industry from the perspective of spatial spillover effects. A panel dataset of 30 provinces or municipalities from 2005 to 2015 was used for the analysis. We found that there is a significant and positive spatial autocorrelation of carbon emissions. The local Moran’s I showed local agglomeration characteristics of H-H (high-high) and L-L (low-low). The indicators of population density, economic growth, energy structure, and industrial structure had either direct or indirect effects on carbon emissions. In particular, we found that low-carbon technology innovation significantly reduces carbon emissions, both in local and neighboring regions. We also found that the industry agglomeration significantly increases carbon emissions in the local regions. Our results imply that the Chinese government can reduce carbon emissions by encouraging low-carbon technology innovations. Meanwhile, our results also highlight the negative environmental impacts of the current policies to promote industry agglomeration.https://www.mdpi.com/2071-1050/12/4/1428carbon emissionsthe construction industryspatial analysisspillover effects
collection DOAJ
language English
format Article
sources DOAJ
author Na Lu
Shuyi Feng
Ziming Liu
Weidong Wang
Hualiang Lu
Miao Wang
spellingShingle Na Lu
Shuyi Feng
Ziming Liu
Weidong Wang
Hualiang Lu
Miao Wang
The Determinants of Carbon Emissions in the Chinese Construction Industry: A Spatial Analysis
Sustainability
carbon emissions
the construction industry
spatial analysis
spillover effects
author_facet Na Lu
Shuyi Feng
Ziming Liu
Weidong Wang
Hualiang Lu
Miao Wang
author_sort Na Lu
title The Determinants of Carbon Emissions in the Chinese Construction Industry: A Spatial Analysis
title_short The Determinants of Carbon Emissions in the Chinese Construction Industry: A Spatial Analysis
title_full The Determinants of Carbon Emissions in the Chinese Construction Industry: A Spatial Analysis
title_fullStr The Determinants of Carbon Emissions in the Chinese Construction Industry: A Spatial Analysis
title_full_unstemmed The Determinants of Carbon Emissions in the Chinese Construction Industry: A Spatial Analysis
title_sort determinants of carbon emissions in the chinese construction industry: a spatial analysis
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-02-01
description As the largest carbon emitter in the world, China is confronted with great challenges of mitigating carbon emissions, especially from its construction industry. Yet, the understanding of carbon emissions in the construction industry remains limited. As one of the first few attempts, this paper contributes to the literature by identifying the determinants of carbon emissions in the Chinese construction industry from the perspective of spatial spillover effects. A panel dataset of 30 provinces or municipalities from 2005 to 2015 was used for the analysis. We found that there is a significant and positive spatial autocorrelation of carbon emissions. The local Moran’s I showed local agglomeration characteristics of H-H (high-high) and L-L (low-low). The indicators of population density, economic growth, energy structure, and industrial structure had either direct or indirect effects on carbon emissions. In particular, we found that low-carbon technology innovation significantly reduces carbon emissions, both in local and neighboring regions. We also found that the industry agglomeration significantly increases carbon emissions in the local regions. Our results imply that the Chinese government can reduce carbon emissions by encouraging low-carbon technology innovations. Meanwhile, our results also highlight the negative environmental impacts of the current policies to promote industry agglomeration.
topic carbon emissions
the construction industry
spatial analysis
spillover effects
url https://www.mdpi.com/2071-1050/12/4/1428
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