File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A Regional and Provincial Productivity Analysis of the Chinese Construction Industry: 1995 to 2012

TitleA Regional and Provincial Productivity Analysis of the Chinese Construction Industry: 1995 to 2012
Authors
KeywordsConstruction
Productivity
China
Färe-Primont data envelopment analysis
Issue Date2016
PublisherAmerican Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/co.html
Citation
Journal of Construction Engineering and Management, 2016, v. 142 no. 11, article no. 05016013 How to Cite?
AbstractThe Chinese construction sector is one of the largest in the world, but the nation’s 31 provinces, autonomous regions, and municipalities (hereafter ‘provinces’ for simplicity) have experienced varying levels of economic development. It is important for stakeholders to truly understand Chinese construction sector efficiency and these regional disparities. Considering it a more robust approach, this study uses the Färe-Primont data envelopment analysis (DEA) method to estimate construction productivity and efficiency across China from 1995 to 2012. A general finding is that construction productivity in China has experienced incredible growth from a low base in 1995, with Eastern China the most productive region and Northern China the least. The most productive provinces were Zhejiang, Hunan and Jiangsu; contradicting conventional wisdom, the least productive were Beijing, Shanghai and Guangdong. Decomposing the productivity further, it is found that China’s construction industry appears to be more scale-efficient than technically efficient. In other words, the industry is operating at an optimal scale for productivity but relies less on technological advancement. This research provides significant insights for understanding productivity of the world’s largest construction market in a different perspective. The Färe-Primont DEA method appears to be an effective means of probing industry efficiency from different perspectives, and enables development of evidence-based policies targeted at improved construction productivity in particular regions or provinces.
Persistent Identifierhttp://hdl.handle.net/10722/223897
ISSN
2015 Impact Factor: 1.152
2015 SCImago Journal Rankings: 1.219

 

DC FieldValueLanguage
dc.contributor.authorChancellor, W-
dc.contributor.authorLu, W-
dc.date.accessioned2016-03-18T02:30:54Z-
dc.date.available2016-03-18T02:30:54Z-
dc.date.issued2016-
dc.identifier.citationJournal of Construction Engineering and Management, 2016, v. 142 no. 11, article no. 05016013-
dc.identifier.issn0733-9364-
dc.identifier.urihttp://hdl.handle.net/10722/223897-
dc.description.abstractThe Chinese construction sector is one of the largest in the world, but the nation’s 31 provinces, autonomous regions, and municipalities (hereafter ‘provinces’ for simplicity) have experienced varying levels of economic development. It is important for stakeholders to truly understand Chinese construction sector efficiency and these regional disparities. Considering it a more robust approach, this study uses the Färe-Primont data envelopment analysis (DEA) method to estimate construction productivity and efficiency across China from 1995 to 2012. A general finding is that construction productivity in China has experienced incredible growth from a low base in 1995, with Eastern China the most productive region and Northern China the least. The most productive provinces were Zhejiang, Hunan and Jiangsu; contradicting conventional wisdom, the least productive were Beijing, Shanghai and Guangdong. Decomposing the productivity further, it is found that China’s construction industry appears to be more scale-efficient than technically efficient. In other words, the industry is operating at an optimal scale for productivity but relies less on technological advancement. This research provides significant insights for understanding productivity of the world’s largest construction market in a different perspective. The Färe-Primont DEA method appears to be an effective means of probing industry efficiency from different perspectives, and enables development of evidence-based policies targeted at improved construction productivity in particular regions or provinces.-
dc.languageeng-
dc.publisherAmerican Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/co.html-
dc.relation.ispartofJournal of Construction Engineering and Management-
dc.rightsJournal of Construction Engineering and Management. Copyright © American Society of Civil Engineers.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectConstruction-
dc.subjectProductivity-
dc.subjectChina-
dc.subjectFäre-Primont data envelopment analysis-
dc.titleA Regional and Provincial Productivity Analysis of the Chinese Construction Industry: 1995 to 2012-
dc.typeArticle-
dc.identifier.emailLu, W: wilsonlu@hku.hk-
dc.identifier.authorityLu, W=rp01362-
dc.description.naturepostprint-
dc.identifier.doi10.1061/(ASCE)CO.1943-7862.0001177-
dc.identifier.hkuros257348-
dc.identifier.volume142-
dc.identifier.issue11-
dc.identifier.spagearticle no. 05016013-
dc.identifier.epagearticle no. 05016013-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats