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

Yuxin Meng, Lu Liu, Zhenlong Xu, Wenwen Gong and Guanpeng Yan
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Yuxin Meng: College of Economics and Management, Xinjiang University, Urumqi, China
Lu Liu: College of Economics and Management, Xinjiang University, Urumqi, China
Zhenlong Xu: Kogod Business School, American University, Washington, USA
Wenwen Gong: College of Economics, Xinjiang Institute of Technology, Aksu, China
Guanpeng Yan: School of Economics, Shandong University, Jinan, China

Journal of Economic Analysis, 2022, vol. 1, issue 2, 17-34

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 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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