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Sustainable Cities and Society
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Water-energy nexus and its efficiency in China’s construction industry: Evidence from province-level data

Authors: Jingke Hong; Xiaoyang Zhong; Shan Guo; Guiwen Liu; Geoffrey Qiping Shen; Tao Yu;

Water-energy nexus and its efficiency in China’s construction industry: Evidence from province-level data

Abstract

Abstract The rapidly growing construction industry has accelerated water and energy scarcity in China, threatening its sustainable development. This study integrates multi-regional input-output (MRIO) and data envelopment analysis (DEA) to investigate the water-energy nexus in the construction industry at the provincial level through the entire industrial supply chain. Results show that the construction industry accounts for 8.97% and 27.20% of virtual water and embodied energy in China, respectively. The western area experiences the most energy- and water-intensive construction processes given its backward economy and outdated technological development. The northern area faces great challenges with regard to energy intensity improvements, whereas the central regions suffer from large pressure relating to inefficient water use. The manufacture of non-metallic mineral products, smelting, and the pressing of metals are the largest suppliers of virtual water and embodied energy. The efficiency assessment results demonstrate that Jiangsu and Zhejiang are two DEA-effective regions. China has achieved a relatively high level of scale efficiency but suffers from backward technology.

Countries
China (People's Republic of), Hong Kong, Netherlands, China (People's Republic of), Hong Kong
Related Organizations
Keywords

MRIO, Efficiency, Construction industry, DEA, Water-energy nexus

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    Top 1%
    influence
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    Top 10%
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 1%
Top 10%
Top 1%
Green