4.0 Article

Carbon productivity convergence club and its initial conditions: China's construction industry

Journal

Publisher

KEAI PUBLISHING LTD
DOI: 10.1080/10042857.2019.1574455

Keywords

Total factor carbon productivity; club convergence; construction industry; nonlinear time-varying factor model; ordered logit regression model

Funding

  1. International Cooperation Training Program for Graduate Students at Tongji University [2018XKJC-004]

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A three-stage method is proposed to study the convergence clubs for the dynamic total factor carbon productivity (DCP) and the initial conditions. The first stage is to measure the DCP that reflects the initial difference. The second stage is to identify the convergence club of DCP. The last stage is to examine the initial factors that may affect the formation of the convergence club. Construction industry data from 30 provinces in mainland China from 2005 to 2016 were adopted to conduct an empirical study. The empirical results showed that (1) the arithmetic mean value of China's provincial DCP showed an upward trend and the standard deviation showed an expanding trend. (2) There are five convergence clubs, but 13 provinces failed to converge to any club. (3) The higher the degree of construction industry marketization in 2005, the greater the probability that the provinces belong to a club with higher DCP. To improve the DCP, the effective diffusion of low-carbon construction technologies and the market-oriented reform of state-owned construction companies should be promoted. The three-stage method can also be applied to study different industries in different countries or regions.

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