TY - JOUR
T1 - Impact of environment regulation on the efficiency of regional construction industry: A 3-stage Data Envelopment Analysis (DEA)
AU - Zhang, Jingxiao
AU - Li, Hui
AU - Xia, Bo
AU - Skitmore, Martin
N1 - Funding Information:
The research is supported by the National Natural Science Foundation of China [No. 71301013 ]; the Humanity and Social Science Program Foundation of the Ministry of Education of China [No. 13YJA790150 and No. 17YJA790091 ]; Shaanxi Social Science Fund [No. 2016ZB017 , No. 2016Z047 and No. 2014HQ10 ]; Xi'an Social Science Fund [No. 18J139 ]; Xi'an Science Technology Bureau Fund [No. CXY1512 [2]]; Xi'an Construction Science and Technology Planning Project [No. SJW201705 ]; Shaanxi Province Higher Education Teaching Reform Project [ 17BZ017 ]; Education Funding of Master of Engineering Management in China [No. 2017-ZX-004 ]; Special Fund for Graduate Student Education Reform of Central College, Chang'an University [ No. 300103187091 , No. 310623176201 , No. 310623176702 , No. 310628176702 and No. 310628161406 ]; Fundamental Research for Education Reform of Central College, Chang'an University [No. 300104282301 , No. 300104282318 , No. 300104282323 , No. 310623172904 , No. 310623171003 and No. 310623171633 ]; Fundamental Research for Funds for the Central Universities (Humanities and Social Sciences), Chang'an University [No. 300102418659 ]; Fundamental Research for Funds for the Central Universities , Chang'an University [No. 300102238201 ].
Publisher Copyright:
© 2018 Elsevier Ltd
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/11/1
Y1 - 2018/11/1
N2 - Although the impact of environmental regulation on industrial efficiency has been widely investigated in various industries, it remains largely unknown in the construction industry. Using 2011–2015 panel data of 30 provinces and cities in China, this paper aims to reveal whether environmental regulation has an impact on regional construction efficiency. A 3-Stage DEA Model is used to measure the technical efficiency of regional construction industries influenced by environmental regulations. Then Hansen's (Hansen, 1999) threshold regression model is used to analyse the threshold effect of environment regulation on the efficiency of regional construction industry. A single threshold value of 0.014 is identified to be used to group China's 30 provinces into high-regulation and low-regulation regions. The results show that environmental regulation has a significant impact on the efficiency of China's construction industry. Scale efficiency is the most affected. The technical efficiency of highly regulated provinces is less affected by environmental regulations. The findings provide a reference frame and analytical method for the analysis of construction efficiency of other developing countries, and provide practical implications for the implementation of environmental regulation policies and future policy formulation.
AB - Although the impact of environmental regulation on industrial efficiency has been widely investigated in various industries, it remains largely unknown in the construction industry. Using 2011–2015 panel data of 30 provinces and cities in China, this paper aims to reveal whether environmental regulation has an impact on regional construction efficiency. A 3-Stage DEA Model is used to measure the technical efficiency of regional construction industries influenced by environmental regulations. Then Hansen's (Hansen, 1999) threshold regression model is used to analyse the threshold effect of environment regulation on the efficiency of regional construction industry. A single threshold value of 0.014 is identified to be used to group China's 30 provinces into high-regulation and low-regulation regions. The results show that environmental regulation has a significant impact on the efficiency of China's construction industry. Scale efficiency is the most affected. The technical efficiency of highly regulated provinces is less affected by environmental regulations. The findings provide a reference frame and analytical method for the analysis of construction efficiency of other developing countries, and provide practical implications for the implementation of environmental regulation policies and future policy formulation.
UR - http://www.scopus.com/inward/record.url?scp=85053378281&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2018.07.189
DO - 10.1016/j.jclepro.2018.07.189
M3 - Article
AN - SCOPUS:85053378281
SN - 0959-6526
VL - 200
SP - 770
EP - 780
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -
