| Total Factor Productivity(TFP)is a key indicator to measure the quality of economic growth.The development of the construction industry is relatively extensive.Improving the TFP of the construction industry is an effective driving force for the high-quality development of the construction industry.Industrial agglomeration is a path worthy of attention to improve TFP,but it is seldom introduced into the research of TFP improvement in the construction industry.It is a fascinating research to explore the TFP improvement strategy of the construction industry from the perspective of industry agglomeration.Based on the panel data of 31 provinces,municipalities and autonomous regions in China from 2002 to 2017,construction industrial agglomeration(CIA)and the TFP of the construction industry was analyzed,and whether and how CIA affects construction industry TFP was studied empirically.First of all,industrial geographic concentration was used to measure the construction industrial agglomeration across the country,showing the prominent spatial agglomeration of the construction industry.The location quotient index was used to measure the CIA of each region and province.It is found that the changes of CIA in various regions are different,and the eastern region has gradually become the agglomeration center.Besides,the agglomeration performance of provinces varies greatly,with Zhejiang,Chongqing,Jiangsu,and Fujian being the highest of CIA.Secondly,the F(?)re-Primont DEA method was used to calculate TFP of the construction industry.TFP of construction industry increased rapidly from 2002 to 2013,with an average annual growth rate of 9.7%,but after 2014,there was a trend of stagnant growth,and the key reason is the lack of technological progress.TFP of the eastern region has consistently ranked first,followed by the central region.The TFP of western and northeastern regions are relatively backward,the main reason is the large gap in technical efficiency.The TFP performance of provinces varies greatly,and TFP of Fujian,Guangdong,Jiangsu,and Zhejiang performed well.Thirdly,CIA and construction industry’s TFP were used as core independent variable and dependent variable,respectively.A Panel linear regression model was constructed,and twostage least squares(2SLS)method was used for parameter estimation.It is found that CIA has a significant positive impact on the TFP of the construction industry,1% increase of the location quotient index can promote the TFP by 0.17%.In addition,the enterprise scale and economic development level have a positive impact on TFP,with a negative impact of the professional structure on TFP.Finally,panel threshold regression model was constructed to explore the non-linear impact of CIA on TFP of the construction industry.The positive impact of CIA on TFP has not been affected by the negative effects brought about by the excessive agglomeration of the construction industry,but it is regulated by the enterprise scale and the market ownership structure.If the average enterprise size is higher than the threshold of 143.03 million yuan,the impact coefficient will decline from 0.38 to 0.21.And,if the proportion of state-owned enterprise is higher than the threshold of 23%,the influence coefficient will increase from 0.15 to 0.71.The empirical research results prove that the strategy of industry agglomeration is applicable in the practice of TFP promotion in Chinese construction industry,but it is necessary to focus on the differences of the construction industry development in different regions.It is recommended to implement agglomeration policies according to local conditions,and encourage healthy competition and cooperation among construction companies to promote the TFP of the construction industry. |
