Research on influencing factors and configuration effects of green innovation efficiency of patent-intensive industry

Abstract

ABSTRACT The paper analyses the influencing factors of the green innovation efficiency of patent-intensive industry based on grounded theory and interpretive structural model (ISM), on this basis, the fuzzy set qualitative comparative analysis (fsQCA) method is applied to reveal the configuration paths to high green innovation efficiency of the industry based on provincial panel data from 17 typical provinces in China from 2017 to 2019. Results of the paper indicate that: (1) all influencing factors of green innovation efficiency of patent-intensive industry can be classified into organizational factors, institutional factors, environmental factors, capital factors and technical factors; (2) among all 24 specific sub-factors which belong to these five categories, intellectual property protection, economic development level, trade openness, infrastructure construction, foreign direct investment, outward foreign direct investment and government support are the underlying factors that play the principle role in affecting the efficiency; (3) there are configuration paths to high green technology R&D efficiency, high green achievement transformation efficiency and high overall efficiency in patent-intensive industry. Research of the paper will contribute to promote green innovation and low-carbon transition in patent-intensive industry.