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Exploring Critical Success Factors for Green Housing Projects: An Empirical Survey of Urban Areas in China

Author(s):

Medium: journal article
Language(s): English
Published in: Advances in Civil Engineering, , v. 2019
Page(s): 1-13
DOI: 10.1155/2019/8746836
Abstract:

The trend of China’s construction industry has gradually shifted from traditional high-consumption to efficient green development mode to achieve the new goals of energy conservation, emission reduction, and sustainable development. The successful development of green housing (GH) has become a major strategic choice. Given the smooth implementation and delivery of GH projects, this study aimed to assess the impact of critical success factors (CSFs) on GH development by identifying controllable CSFs. Firstly, 20 controllable CSFs were identified through literature review. Secondly, the data collected by the questionnaire were used for principal component analysis (PCA). The factor analysis showed that the CSFs can be summarised into five important principal components, namely, (1) project management factors, (2) personnel ability factors, (3) teamwork-oriented factors, (4) human resource factors, and (5) financial and constraint factors. Finally, multiple regression analysis was used to assess the importance of CSFs. Results showed that project management factors, personnel capacity factors, and financial and constraint factors exerted positive impact on the successful development of the projects, with project management factors having the greatest impact. This work provides not only useful information and practical guidance for enterprises in GH development practice but also certain reference value for building a sustainable development society in China.

Copyright: © 2019 Peidong Sang and Haona Yao et al.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10400225
  • Published on:
    12/12/2019
  • Last updated on:
    02/06/2021
 
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