TY  - JOUR
TI  - Total factor productivity and convergence of China’s textile industry
AU  - ZHANG JIANLEI
AU  - HE LIN
AU  - CHEN YUJIE
AU  - CHENG LONGDI
T2  - Industria Textila
AB  - The scale of China’s textile industry has grown to be the largest in the world with massive factor input. There is a strong
demand China’s textile industry, and as a traditional industry, should improve total factor productivity (TFP) to realize
technology-driven and sustainable development. TFP is a commonly used indicator to measure the level of technological
progress. But regional textile industry development in China is seriously unbalanced and regional TFP is quite different
from each other. It is worthwhile to estimate the textile industry TFP of China and different regions, analyse the changing
trend and test for their convergences. This paper firstly uses the nonparametric DEA-Malmquist index method to
measure and analyse the TFP and its evolution of China’s textile industry during 2007–2018 at the nation, region and
province levels. Then it uses the coefficient of variation to test for σ-convergence of China’s and regional textile industry
TFP. It also constructs an absolute β-convergence regression equation and panel data model, respectively to test for
absolute β-convergence and conditional β-convergence and determine whether the TFP of each region will also
converge to its own steady-state or not. The research results help explore the future development model of China’s
textile industry and provide corresponding policy suggestions for the upgrading and sustainable development of the
industry.
DO  - 10.35530/IT.073.02.202041
VL  - 73
IS  - 2
SP  - 171
EP  - 176
UR  - http://revistaindustriatextila.ro/images/2022/2/009%20JIANLEI%20Revista%20IndustriaTextila%20No2_2022.pdf
ER  -