Uncovering Variations, Determinants, and Disparities of Multisector-Level Final Energy Use of Industries Across Cities

With continuous industrialization and urbanization, cities have become the dominator of energy consumption, to which industry is making leading contribution among all sectors. Given the insufficiency in comparative study on the drivers of energy use across cities at multisector level, this study sel...

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Main Authors: Xianrui Liao, Wei Yang, Yichen Wang, Junnian Song
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/6/1806
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spelling doaj-1035345aac814c2fbb76b83862b0a5cf2020-11-24T21:21:52ZengMDPI AGSustainability2071-10502019-03-01116180610.3390/su11061806su11061806Uncovering Variations, Determinants, and Disparities of Multisector-Level Final Energy Use of Industries Across CitiesXianrui Liao0Wei Yang1Yichen Wang2Junnian Song3College of New Energy and Environment, Jilin University, Changchun 130012, ChinaCollege of New Energy and Environment, Jilin University, Changchun 130012, ChinaCollege of New Energy and Environment, Jilin University, Changchun 130012, ChinaCollege of New Energy and Environment, Jilin University, Changchun 130012, ChinaWith continuous industrialization and urbanization, cities have become the dominator of energy consumption, to which industry is making leading contribution among all sectors. Given the insufficiency in comparative study on the drivers of energy use across cities at multisector level, this study selected seven representative cities in China to quantify and analyze the contributions of factors to changes in final energy use (FEU) in industrial aggregate and sectoral levels by using Logarithmic Mean Divisia Index method. Disparities in the drivers of industrial FEU across cities were explicitly revealed within two stages (2005&#8211;2010 and 2010&#8211;2015). Some key findings are presented as follows. Alongside the increase in industrial output of seven cities within two stages, the variation trends in industrial FEU are different. Industrial output effect (contribution rate 16.7% ~ 184.0%) and energy intensity effect (contribution rate &#8722;8.6% ~ &#8722;76.5%) contributed to the increase in aggregate FEU positively and negatively, respectively. Beijing had the largest contribution share of industrial structure effect (&#8722;24.4% and &#8722;12.8%), followed by Shenyang and Xi&#8217;an. Contributions of energy intensity effect and industrial output effect for <i>Chemicals</i>, <i>Nonmetals</i>, <i>Metals</i>, and <i>Manufacture of equipment</i> were much larger than those of other sectors. The results revealed that production technological innovations, phase-out of outdated capacities of energy intensive industries, and industrial restructuring are crucial for reduction in industrial FEU of cities. This study also provided reference to reasonable industrial layout among cities and exertion of technological advantages from a national perspective.https://www.mdpi.com/2071-1050/11/6/1806Final energy useIndustrial sectorsLogarithmic Mean Divisia IndexDecomposition analysisCities
collection DOAJ
language English
format Article
sources DOAJ
author Xianrui Liao
Wei Yang
Yichen Wang
Junnian Song
spellingShingle Xianrui Liao
Wei Yang
Yichen Wang
Junnian Song
Uncovering Variations, Determinants, and Disparities of Multisector-Level Final Energy Use of Industries Across Cities
Sustainability
Final energy use
Industrial sectors
Logarithmic Mean Divisia Index
Decomposition analysis
Cities
author_facet Xianrui Liao
Wei Yang
Yichen Wang
Junnian Song
author_sort Xianrui Liao
title Uncovering Variations, Determinants, and Disparities of Multisector-Level Final Energy Use of Industries Across Cities
title_short Uncovering Variations, Determinants, and Disparities of Multisector-Level Final Energy Use of Industries Across Cities
title_full Uncovering Variations, Determinants, and Disparities of Multisector-Level Final Energy Use of Industries Across Cities
title_fullStr Uncovering Variations, Determinants, and Disparities of Multisector-Level Final Energy Use of Industries Across Cities
title_full_unstemmed Uncovering Variations, Determinants, and Disparities of Multisector-Level Final Energy Use of Industries Across Cities
title_sort uncovering variations, determinants, and disparities of multisector-level final energy use of industries across cities
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2019-03-01
description With continuous industrialization and urbanization, cities have become the dominator of energy consumption, to which industry is making leading contribution among all sectors. Given the insufficiency in comparative study on the drivers of energy use across cities at multisector level, this study selected seven representative cities in China to quantify and analyze the contributions of factors to changes in final energy use (FEU) in industrial aggregate and sectoral levels by using Logarithmic Mean Divisia Index method. Disparities in the drivers of industrial FEU across cities were explicitly revealed within two stages (2005&#8211;2010 and 2010&#8211;2015). Some key findings are presented as follows. Alongside the increase in industrial output of seven cities within two stages, the variation trends in industrial FEU are different. Industrial output effect (contribution rate 16.7% ~ 184.0%) and energy intensity effect (contribution rate &#8722;8.6% ~ &#8722;76.5%) contributed to the increase in aggregate FEU positively and negatively, respectively. Beijing had the largest contribution share of industrial structure effect (&#8722;24.4% and &#8722;12.8%), followed by Shenyang and Xi&#8217;an. Contributions of energy intensity effect and industrial output effect for <i>Chemicals</i>, <i>Nonmetals</i>, <i>Metals</i>, and <i>Manufacture of equipment</i> were much larger than those of other sectors. The results revealed that production technological innovations, phase-out of outdated capacities of energy intensive industries, and industrial restructuring are crucial for reduction in industrial FEU of cities. This study also provided reference to reasonable industrial layout among cities and exertion of technological advantages from a national perspective.
topic Final energy use
Industrial sectors
Logarithmic Mean Divisia Index
Decomposition analysis
Cities
url https://www.mdpi.com/2071-1050/11/6/1806
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AT yichenwang uncoveringvariationsdeterminantsanddisparitiesofmultisectorlevelfinalenergyuseofindustriesacrosscities
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