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Evaluating the Competitiveness of the Chinese Listed Construction Enterprises Based on OLS Regression Analysis Model

In: Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Yousong Wang

    (South China University of Technology)

  • Yakun Li

    (South China University of Technology)

  • Hongyang Li

    (South China University of Technology)

Abstract

With rapid development of China’s construction market, construction enterprises in the country are facing stronger competition and greater challenges, leading the research on evaluating the competitiveness of construction state-owned enterprises and private enterprises become worthy of attention. Based on the principle of literature measure analysis, this paper establishes an index system for enterprise competitiveness evaluation, and uses the clustering factor method to conduct Ordinary Least Squares (OLS) regression analysis. The empirical sample uses the year 2017 cross-sectional data of 10 listed state-owned enterprises and 10 listed private enterprises in Shanghai and Shenzhen Stock Exchanges. The result shows that the abilities of solvency, operation, research and development have different degrees of influence on the competitiveness of state-owned enterprises and private enterprises. Under the Chinese socialist market economy, the construction private enterprises have a gap of about 65% with the construction state-owned enterprises due to the lack of policies and resources. It is also necessary for the government to support them to catch up.

Suggested Citation

  • Yousong Wang & Yakun Li & Hongyang Li, 2021. "Evaluating the Competitiveness of the Chinese Listed Construction Enterprises Based on OLS Regression Analysis Model," Springer Books, in: Gui Ye & Hongping Yuan & Jian Zuo (ed.), Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, pages 755-763, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-8892-1_54
    DOI: 10.1007/978-981-15-8892-1_54
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