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author:

Ding, G. (Ding, G..) [1] | Su, X. (Su, X..) [2] | Wang, R. (Wang, R..) [3] | Gui, L. (Gui, L..) [4]

Indexed by:

Scopus

Abstract:

Based on the global entropy method to evaluate the technological innovation ability and the development level of green economy in Chinese provinces from 2006 to 2015, this paper uses partial least squares (PLS) method to measure the influence of various components of technological innovation ability on the development level of green economy in China. The empirical results show that at the provincial level in China, technological innovation capability has a significant positive impact on the development level of green economy. Among them, the technology input ability has the strongest influence on the development of green economy, followed by the technology output and support ability, while the technology diffusion ability has not formed a significant positive influence on the development level of green economy. The research further finds that the improvement of technology input ability can effectively promote the improvement of technology output, technology support, and technology diffusion ability. For the sake of improving the provincial development level of green economy of China, it is necessary for China’s provinces to enhance their technology input ability and improve their technological innovation resources allocation efficiency. © 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Keyword:

Green economy Influence Partial least squares Province Technological innovation capacity

Community:

  • [ 1 ] [Ding, G.]School of Economics and Management, Fuzhou University, Fujian, Fuzhou, 350100, China
  • [ 2 ] [Su, X.]School of Economics and Management, Fuzhou University, Fujian, Fuzhou, 350100, China
  • [ 3 ] [Wang, R.]School of Economics and Management, Fuzhou University, Fujian, Fuzhou, 350100, China
  • [ 4 ] [Gui, L.]Lingnan Tourism Research Institute, Guangdong University of Finance & Economics, Guangzhou, 510320, China

Reprint 's Address:

  • [Su, X.]School of Economics and Management, Fujian, China

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Source :

Environmental Modeling and Assessment

ISSN: 1420-2026

Year: 2022

Issue: 5

Volume: 27

Page: 747-757

2 . 4

JCR@2022

2 . 7 0 0

JCR@2023

ESI HC Threshold:64

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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