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

Zhang Ming-kai · Xinlan Chen · Yang Guangming

22 citations0/0 files storedFrontiers in Environmental Science

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Digital Economy and Transformation Energy, Environment, Economic Growth Sustainability and Innovation in Business

Abstract

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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References

1978Measuring the efficiency of decision making units 2022How does green finance affect green total factor productivity? Evidence from China 2021Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities 2018Defining, Conceptualising and Measuring the Digital Economy 2022Innovation in emerging economies: Research on the digital economy driving high-quality green development 2021Digital finance, green technological innovation and energy-environmental performance: Evidence from China's regional economies 2022Digital economy and carbon emission performance: Evidence at China's city level 2022How does digital finance influence green technology innovation in China? Evidence from the financing constraints perspective

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