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Impact of industrial agglomeration on total factor productivity in the construction industry: evidence from China

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  • Yousong Wang
  • Yao Yao
  • Yangbing Zhang
  • Boya Su
  • Tongyuan Wu

Abstract

Industrial agglomeration (IA), a common industrial phenomenon, has been verified to have a significant impact on total factor productivity (TFP) in many industries. However, the impact of IA on TFP is seldom investigated in the construction industry, despite the existence of the industrial agglomeration phenomenon in the construction industry. As such, this study aims to probe into the impact of IA on TFP in the construction industry, so as to provide new insights into the industry development and improvement of TFP in the construction industry. Based on the competing results of the agglomeration effect and congestion effect caused by IA, this study proposed three hypotheses on the impact mechanism of IA on TFP in the construction industry. Then, the non-linear regression model and linear regression model were developed to test the hypotheses based on the provincial panel data from 2002 to 2017 in China. The empirical results reveal that IA has a positive linear impact on TFP in the construction industry, and the impact of IA on TFP in the Chinese construction industry during the observed period is in the embryonic stage. Besides, both the firm scale and economic development level have positive impacts on TFP, whereas the specialization structure has a negative impact. Hence, the government can encourage industrial agglomeration in the construction industry to enhance TFP, in order to leverage the knowledge spillovers, labor pool, and other benefits from IA.

Suggested Citation

  • Yousong Wang & Yao Yao & Yangbing Zhang & Boya Su & Tongyuan Wu, 2023. "Impact of industrial agglomeration on total factor productivity in the construction industry: evidence from China," Construction Management and Economics, Taylor & Francis Journals, vol. 41(4), pages 322-337, April.
    • Handle: RePEc:taf:conmgt:v:41:y:2023:i:4:p:322-337
    DOI: 10.1080/01446193.2022.2156570
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