Research on the Group Paths of Green Technology Innovation in China

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.

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Publication Details

Journal
Highlights in Business Economics and Management
Published
2025-04-29
DOI
https://doi.org/10.54097/1f2hnx32
Primary Topic
Sustainable Supply Chain Management
Type
article
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article

Research on the Group Paths of Green Technology Innovation in China

Jingyu Tian, Ronghao Zhong
Highlights in Business Economics and Management
Sustainable Supply Chain Management
article

Research on the Group Paths of Green Technology Innovation in China

Jingyu Tian, Ronghao Zhong
article en

Abstract

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.

Highlights in Business Economics and ManagementVol. 54
China University of Political Science and Law (CN)
Openalex Percentile: Top 68%
Sustainable Supply Chain Management
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