Influencing factors of green building practitioners’ competition perceptions: evidence from China

Chaofan Wang, Xiaojun Xie*, Chuanmin Shuai, Xiaoqian Ma, Zihan Wang, Yongxia Chen, Xinyi Chen, Vladimir Strezov

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The concept of green sustainability has driven innovation in green construction technologies (GCTs), fostering heightened competition in the construction market. However, there is limited research on the factors that influence the perceptions of green building practitioners (GBPs) regarding the intense market competition. To address this, based on 407 questionnaires collected in China, this study employs the ordinal logistic regression (ORL) method to investigate the relationship between heterogeneity, psychological capital and industry pressure, and GBPs’ perceptions of market competition intensity. The results reveal that (1) GBPs’ competition perceptions (CPs) are generally high and (2) Individual and occupational differences in GBPs’ CPs are significantly different. Notably, higher education levels correlating to diminished CPs, and managers exhibit greater sensitivity compared to non-managers. (3) Perceived value and company’s environmental responsibility are the most influencing factors that significantly affect GBPs’ CPs. This study offers implications for enhancing GBPs’ understanding of GCTs and industrial competition, thus contributing to improving decision-makers’ strategies for establishing competitive advantages. Additionally, it aids in formulating market competition rules, thereby fostering the transformation of the construction industry.

Original languageEnglish
JournalInternational Journal of Construction Management
Early online date8 Mar 2024
DOIs
Publication statusE-pub ahead of print - 8 Mar 2024

Bibliographical note

Publisher Copyright:
© 2024 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • competition perceptions
  • Green building market
  • heterogeneity
  • industrial pressure
  • ordinal logistic regression
  • stakeholders

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