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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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2023-02-01
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Series: | Frontiers in Environmental Science |
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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. |
first_indexed | 2024-04-10T07:53:51Z |
format | Article |
id | doaj.art-16a5901b25304aa5acdaec01df95ed9e |
institution | Directory Open Access Journal |
issn | 2296-665X |
language | English |
last_indexed | 2024-04-10T07:53:51Z |
publishDate | 2023-02-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Environmental Science |
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 |
work_keys_str_mv | AT zhangmingkai couplingcoordinationdegreeandinfluencingfactorsofgreenscienceandtechnologyinnovationefficiencyanddigitaleconomylevelevidencefromprovincialpaneldatainchina AT chenxinlan couplingcoordinationdegreeandinfluencingfactorsofgreenscienceandtechnologyinnovationefficiencyanddigitaleconomylevelevidencefromprovincialpaneldatainchina AT yangguangming couplingcoordinationdegreeandinfluencingfactorsofgreenscienceandtechnologyinnovationefficiencyanddigitaleconomylevelevidencefromprovincialpaneldatainchina |