Spatiotemporal Evolution the GTFP of the Construction Industry--Empirical Analysis Based on the Yangtze River Economic Belt

Hongsheng Kan, Yuanyuan Dong, Bin Hu, Jingxiao Yu, Yajun Chen and Jinxian Zhao ()
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Hongsheng Kan: Qingdao University of Technology
Yuanyuan Dong: Qingdao University of Technology
Bin Hu: Qingdao University of Technology
Jingxiao Yu: Qingdao University of Technology
Yajun Chen: Qingdao University of Technology
Jinxian Zhao: Qingdao University of Technology

A chapter in Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, 2023, pp 501-515 from Springer

Abstract: Abstract The green development of the construction industry plays an important role in promoting the ecological civilization of China. By applying the SBM model, the global Malmquist–Luenberger index, and the GeoDetector model, this paper examines the green total factor productivity (GTFP) of the construction industry of the Yangtze River Economic Belt. Results show that ① the GTFP of the construction industry of the Yangtze River Economic Belt has demonstrated a growth trend in most years with an average annual growth that exceeds the national level. In the upstream, middle, and lower reaches of the river, the changes in GTFP show great convergence, whereas the technical efficiency and technical progress indices show volatile trends; ② the increase in GTFP is seriously polarized and reflects an unbalanced development in the Yangtze River Economic Belt. The highest and lowest GTFP levels are reported in the downstream and upstream areas of the river, respectively. However, opposite trends are observed for the annual GTFP growth rate. This research is the basic work to further find the driving factors of GTFP growth and formulate the policy to improve the GTFP of the construction industry of the Yangtze River Economic Belt.

Keywords: Green total factor productivity; spatiotemporal Evolution; SBM model; global Malmquist–Luenberger index; Yangtze River Economic Belt (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-981-99-3626-7_40

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