Exploring the driving factors of construction industrialization development in China

Xiaer Xiahou, Jingfeng Yuan, Yan Liu, Yuchun Tang, Qiming Li

Research output: Contribution to journalArticleScientificpeer-review

11 Citations (Scopus)
24 Downloads (Pure)

Abstract

Construction industrialization (CI) has been adopted worldwide because of its potential benefits. However, current research shows the incentives for adopting CI may differ in different regions. While the promotion of CI in China is still at the initial stage, a systematical analysis of the driving factors would help decision makers get a comprehensive understanding of CI development and select proper strategies to promote CI. This research combines qualitative and quantitative methods to explore the construction industrialization driving factors (CIDFs) in China. The grounded theory method (GTM) was employed to explore CI concepts among 182 CI-related articles published in 10 top-tier journals from 2000 to 2017. A total of 15 CIDFs were identified, including one suggested by professionals during a pre-test questionnaire survey. The analysis showed that the development of CI in China is pushed by macrodevelopment and pulled by the government and is also a self-driven process. The major driving factors for CI adoption in China are the transformation and upgrade of the conventional construction industry and the solution of development dilemmas. Our study also suggests that pilot programs are, currently, the most effective method to promote CI in China and to accumulate experience so to gain recognition by the society. This research is also of value for CI promotion in other developing countries.

Original languageEnglish
Article number442
Number of pages16
JournalInternational Journal of Environmental Research and Public Health
Volume15
Issue number3
DOIs
Publication statusPublished - 2018

Keywords

  • China
  • Construction industrialization (CI)
  • Content analysis
  • Driving factors
  • Grounded theory method
  • Pull and push
  • Questionnaire survey

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