Open Access Journal Article

Research on the Heterogeneity of Green Biased Technology Progress in Chinese Industries: Decomposition Index Analysis Based on the Slacks-based measure integrating

by Yuxin Meng a,* orcid ,  Lu Liu a ,  Zhenlong Xu b orcid ,  Wenwen Gong c orcid  and  Guanpeng Yan d orcid
a
College of Economics and Management, Xinjiang University, Urumqi, China
b
Kogod Business School, American University, Washington, USA
c
College of Economics, Xinjiang Institute of Technology, Aksu, China
d
School of Economics, Shandong University, Jinan, China
*
Author to whom correspondence should be addressed.
JEA  2022, 10; 1(2), 10; https://doi.org/10.58567/jea01020002
Received: 15 October 2022 / Accepted: 12 December 2022 / Published Online: 13 December 2022
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Abstract

Green-biased technological progress takes into account the influence of energy input and pollution emissions, which is of great significance to China's green development. This paper decomposes technological progress into two categories: green input-biased technological progress (IBTC) and green output-biased technological progress (OBTC), using the Slacks-based measure integrating (SBM) model. The factor bias in technological progress is determined based on data from 34 industries in China from 2000 to 2015. The results show that green-biased technological progress exists significantly in the industry, and most of it promotes the growth of green total factor productivity. IBTC first tends to consume energy to pursue capital between capital input and energy input, while it tends to save energy after the Eleventh Five-Year Plan. Between labor input and energy input, it is biased towards saving labor and consuming resources. OBTC is biased towards promoting industrial growth and curbing pollution emissions. Medium and light-polluting industries are biased toward promoting industrial growth and curbing pollution emissions, while heavy-polluting industries are biased towards emitting more pollution.

Keywords: Green input biased technological progress; Green output biased technological progress; Slacks-based measure integrating; Factor bias; Total Factor Productivity;
Copyright: © 2022 by Meng, Liu, Xu, Gong and Yan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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ACS Style
Meng, Y.; Liu, L.; Xu, Z.; Gong, W.; Yan, G. Research on the Heterogeneity of Green Biased Technology Progress in Chinese Industries: Decomposition Index Analysis Based on the Slacks-based measure integrating. Journal of Economic Analysis, 2022, 1, 10. https://doi.org/10.58567/jea01020002
AMA Style
Meng Y, Liu L, Xu Z, Gong W, Yan G. Research on the Heterogeneity of Green Biased Technology Progress in Chinese Industries: Decomposition Index Analysis Based on the Slacks-based measure integrating. Journal of Economic Analysis; 2022, 1(2):10. https://doi.org/10.58567/jea01020002
Chicago/Turabian Style
Meng, Yuxin; Liu, Lu; Xu, Zhenlong; Gong, Wenwen; Yan, Guanpeng 2022. "Research on the Heterogeneity of Green Biased Technology Progress in Chinese Industries: Decomposition Index Analysis Based on the Slacks-based measure integrating" Journal of Economic Analysis 1, no.2:10. https://doi.org/10.58567/jea01020002
APA style
Meng, Y., Liu, L., Xu, Z., Gong, W., & Yan, G. (2022). Research on the Heterogeneity of Green Biased Technology Progress in Chinese Industries: Decomposition Index Analysis Based on the Slacks-based measure integrating. Journal of Economic Analysis, 1(2), 10. https://doi.org/10.58567/jea01020002

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