In the context of global warming, the pursuit of an ecological economy has intensified, with Green Technological Innovation (GTI) playing a pivotal role. However, most existing studies tend to focus on the impact of individual technological or environmental regulatory factors on GTI, often overlooking the synergistic effects of multidimensional factors. Based on the TOE theoretical framework, we used fuzzy set qualitative comparative analysis (fsQCA) to deal with the data of relevant indicators of Chinese provinces in 2022, analyzed the conditional groupings of high green technological innovation levels from the grouping perspective and came up with the following results: (1) There are five types of groupings to achieve high GTI including technology-government-talent joint-driven, technology integration-led, technology innovation-economic structure double-driven, technology-economy double-driven and government-talent double-driven. (2) Technology Application Capability, University Research Capacity and Talent Reservation are necessary conditions to constitute a high GTI level. The results of the study show the technological, organizational and environmental factors driving high GTI, with a view to providing China and even worldwide countries with locally unique paths to improve GTI.
Tian et al. (Tue,) studied this question.