全要素生产率
集聚经济
面板数据
经济
杠杆(统计)
经济地理学
中国
中国工业
产业组织
制造业
生产力
实证研究
订单(交换)
国际贸易
业务
计量经济学
宏观经济学
微观经济学
地理
哲学
考古
认识论
财务
营销
机器学习
计算机科学
作者
Yousong Wang,Yao Yao,Yangbing Zhang,Boya Su,Tongyuan Wu
标识
DOI:10.1080/01446193.2022.2156570
摘要
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.
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