Coupling coordination degree and influencing factors of green science and technology innovation efficiency and digital economy level: Evidence from provincial panel data in China

Green innovation and the digital economy are the new engine and driving force for Chinese high-quality development and will become the mainstream of China’s high-quality development. Therefore, it is of great significance to explore the interaction between the two for the formulation of economic dev...

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Main Authors: Zhang Mingkai, Chen Xinlan, Yang Guangming
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Environmental Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2023.1104078/full
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author Zhang Mingkai
Chen Xinlan
Yang Guangming
author_facet Zhang Mingkai
Chen Xinlan
Yang Guangming
author_sort Zhang Mingkai
collection DOAJ
description Green innovation and the digital economy are the new engine and driving force for Chinese high-quality development and will become the mainstream of China’s high-quality development. Therefore, it is of great significance to explore the interaction between the two for the formulation of economic development policies. This paper constructed an evaluation system of green science and technology innovation efficiency (GSTIE) and digital economy level (DEL) based on 30 provinces in China. Through the corrected coupling coordination degree (CCD) model, this paper measured the coupling coordination degree of green science and technology innovation efficiency and DEL and analyzed its provincial differences and spatial effects. By employing the fuzzy set Qualitative Comparative Analysis (fsQCA) method, this paper further explored the influencing factors configuration affecting the coupling coordination degree of GSTIE and DEL. The research results are as follows. Compared with the development of green science and technology innovation, the development of the digital economy was relatively backward. The coupling coordination degree between China’s provincial GSTIE and DEL showed an overall increasing trend year by year, and there was obvious spatial heterogeneity in which the eastern region was the highest, followed by the western and central regions. A single influencing factor does not constitute a necessary condition for a high coupling coordination degree. There were four paths that improve the coordinated development level between GSTIE and DEL: HC + RD + OP-jointly driven, RD + OP-dual driven, HC + GS-dual driven, and GS-oriented. Finally, based on the research conclusions, this paper proposed corresponding policy suggestions.
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spelling doaj.art-16a5901b25304aa5acdaec01df95ed9e2023-02-23T06:24:46ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2023-02-011110.3389/fenvs.2023.11040781104078Coupling coordination degree and influencing factors of green science and technology innovation efficiency and digital economy level: Evidence from provincial panel data in ChinaZhang Mingkai0Chen Xinlan1Yang Guangming2Faculty of Management and Economics, Kunming University of Science and Technology, Kunming, ChinaSchool of Business Administration, Chongqing Technology and Business University, Chongqing, ChinaSchool of Management, Chongqing University of Technology, Chongqing, ChinaGreen innovation and the digital economy are the new engine and driving force for Chinese high-quality development and will become the mainstream of China’s high-quality development. Therefore, it is of great significance to explore the interaction between the two for the formulation of economic development policies. This paper constructed an evaluation system of green science and technology innovation efficiency (GSTIE) and digital economy level (DEL) based on 30 provinces in China. Through the corrected coupling coordination degree (CCD) model, this paper measured the coupling coordination degree of green science and technology innovation efficiency and DEL and analyzed its provincial differences and spatial effects. By employing the fuzzy set Qualitative Comparative Analysis (fsQCA) method, this paper further explored the influencing factors configuration affecting the coupling coordination degree of GSTIE and DEL. The research results are as follows. Compared with the development of green science and technology innovation, the development of the digital economy was relatively backward. The coupling coordination degree between China’s provincial GSTIE and DEL showed an overall increasing trend year by year, and there was obvious spatial heterogeneity in which the eastern region was the highest, followed by the western and central regions. A single influencing factor does not constitute a necessary condition for a high coupling coordination degree. There were four paths that improve the coordinated development level between GSTIE and DEL: HC + RD + OP-jointly driven, RD + OP-dual driven, HC + GS-dual driven, and GS-oriented. Finally, based on the research conclusions, this paper proposed corresponding policy suggestions.https://www.frontiersin.org/articles/10.3389/fenvs.2023.1104078/fullgreen science and technology innovationdigital economycoupling coordinationcondition configurationfsQCA
spellingShingle Zhang Mingkai
Chen Xinlan
Yang Guangming
Coupling coordination degree and influencing factors of green science and technology innovation efficiency and digital economy level: Evidence from provincial panel data in China
Frontiers in Environmental Science
green science and technology innovation
digital economy
coupling coordination
condition configuration
fsQCA
title Coupling coordination degree and influencing factors of green science and technology innovation efficiency and digital economy level: Evidence from provincial panel data in China
title_full Coupling coordination degree and influencing factors of green science and technology innovation efficiency and digital economy level: Evidence from provincial panel data in China
title_fullStr Coupling coordination degree and influencing factors of green science and technology innovation efficiency and digital economy level: Evidence from provincial panel data in China
title_full_unstemmed Coupling coordination degree and influencing factors of green science and technology innovation efficiency and digital economy level: Evidence from provincial panel data in China
title_short Coupling coordination degree and influencing factors of green science and technology innovation efficiency and digital economy level: Evidence from provincial panel data in China
title_sort coupling coordination degree and influencing factors of green science and technology innovation efficiency and digital economy level evidence from provincial panel data in china
topic green science and technology innovation
digital economy
coupling coordination
condition configuration
fsQCA
url https://www.frontiersin.org/articles/10.3389/fenvs.2023.1104078/full
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AT chenxinlan couplingcoordinationdegreeandinfluencingfactorsofgreenscienceandtechnologyinnovationefficiencyanddigitaleconomylevelevidencefromprovincialpaneldatainchina
AT yangguangming couplingcoordinationdegreeandinfluencingfactorsofgreenscienceandtechnologyinnovationefficiencyanddigitaleconomylevelevidencefromprovincialpaneldatainchina