Measurement of China’s Green Total Factor Productivity Introducing Human Capital Composition

Can Cheng, Xiuwen Yu, Heng Hu, Zitian Su and Shangfeng Zhang ()
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Can Cheng: School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China
Xiuwen Yu: School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China
Heng Hu: School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China
Zitian Su: School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China
Shangfeng Zhang: School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China

IJERPH, 2022, vol. 19, issue 20, 1-19

Abstract: In the face of resource and environmental problems caused by extensive economic development, China has put forward a green development strategy. Scientific measurement and analysis of green total factor productivity (GTFP) is of great significance for achieving high-quality economic development. By introducing the human capital composition, including education, health, scientific research, and training, this paper study adopts the Slack Based Measure-Global Malmquist-Luenberger (SBM-GML) index to re-measure the GTFP and its decomposition of 30 provinces, municipalities, and autonomous regions in China from 2000 to 2019. The results show that: (1) China’s GTFP has a fluctuating growth trend, with an average annual growth rate of 2.31%. (2) In terms of its decomposition, technical progress is the main force driving GTFP growth, with a contribution rate of 1.59%; the improvement of technical efficiency is a secondary driving force, with a contribution rate of 0.71%. (3) The measurement results of GTFP, considering the human capital composition, are generally higher than those without consideration, and the GTFP growth under the two modes shows a trend of “high in the east and low in the west”. The conclusions have enlightening significance for improving GTFP and the growth potential of the economy in China.

Keywords: green total factor productivity; human capital composition; SBM-GML index (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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