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Spatial analysis of change trend and influencing factors of total factor productivity in China’s regional construction industry

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  • Yuan Chen
  • Bingsheng Liu
  • Yinghua Shen
  • Xueqing Wang

Abstract

Total factor productivity (TFP) is a measure of long-term economic growth and a comprehensive industry-level productivity measure. There are large gaps in China’s regional construction industry development due to unbalanced regional economy. Based on TFP measurement, this article puts forward a two-hierarchical analysis framework with coefficient of variation, Moran scatterplot and coefficient of convergence to analyse change trend of the construction industry TFP in three major regions in terms of spatial diversity, correlation and convergence. Then, the geographically weighted regression model is utilized to explore the influencing mechanism on the TFP. The results indicate the differences of the regional construction industry TFP are enlarging. There is obvious spatial correlation and heterogeneity in the regional TFP without a relatively stable space pattern. The TFP also exhibits convergence effects among three major regions. The construction industry productivity in all regions is significantly affected by economic environment, industrial organization structure and technological level. Industrial organization structure exerts the various influences on the productivity in different regions.

Suggested Citation

  • Yuan Chen & Bingsheng Liu & Yinghua Shen & Xueqing Wang, 2018. "Spatial analysis of change trend and influencing factors of total factor productivity in China’s regional construction industry," Applied Economics, Taylor & Francis Journals, vol. 50(25), pages 2824-2843, May.
    • Handle: RePEc:taf:applec:v:50:y:2018:i:25:p:2824-2843
    DOI: 10.1080/00036846.2017.1409421
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    Cited by:

    1. Yu Chen & Haoming Shi & Jun Ma & Victor Shi, 2020. "The Spatial Spillover Effect in Hi-Tech Industries: Empirical Evidence from China," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    2. Gui Ye & Yuhe Wang & Yuxin Zhang & Liming Wang & Houli Xie & Yuan Fu & Jian Zuo, 2019. "Impact of Migrant Workers on Total Factor Productivity in Chinese Construction Industry," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
    3. Tang, Kai & Li, Zhenshan & He, Chun, 2023. "Spatial distribution pattern and influencing factors of relative poverty in rural China," Innovation and Green Development, Elsevier, vol. 2(1).
    4. Xiaoxi Wang & Yaojun Zhang & Danlin Yu & Xiwei Wu & Ding Li, 2022. "Changes in Demographic Factors’ Influence on Regional Productivity Growth: Empirical Evidence from China, 2000–2010," Sustainability, MDPI, vol. 14(7), pages 1-19, April.
    5. Lili Kang & Fei Peng, 2018. "Economic Reform and Productivity Convergence in China," Arthaniti: Journal of Economic Theory and Practice, , vol. 17(1), pages 50-82, June.
    6. Jinkai Li & Jingjing Ma & Wei Wei, 2020. "Analysis and Evaluation of the Regional Characteristics of Carbon Emission Efficiency for China," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
    7. Xueyao Zhang & Hong Chen, 2021. "Green Agricultural Development Based on Information Communication Technology and the Panel Space Measurement Model," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    8. Zhang, Jingxiao & Jin, Weixing & Yang, Guo-liang & Li, Hui & Ke, Yongjian & Philbin, Simon Patrick, 2021. "Optimizing regional allocation of CO2 emissions considering output under overall efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).

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