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Systems
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Systems
Article . 2025
Data sources: DOAJ
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Article . 2025
Data sources: DBLP
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Political Connection Heterogeneity and Green Technological Innovation: Evidence from Chinese Listed Companies

Authors: Siqi Meng; Xiaoyu Wu; Shuyang Wang;

Political Connection Heterogeneity and Green Technological Innovation: Evidence from Chinese Listed Companies

Abstract

With the continuous development of today’s economy and the growing interest in green technological innovation, this study investigates the impact of executive political connection heterogeneity (EPCH) on corporate green technological innovation (CGTI) in Chinese listed companies. Specifically, it distinguishes between ascribed and achieved political connections, examining their influence on incremental and radical CGTI. This study employs a quantitative research design, utilizing a sample of Chinese A-share listed companies from 2007 to 2022. Data are sourced from the China Securities Market & Accounting Research (CSMAR) database and the China National Research Data Service (CNRDS) database. The study analysis applies fixed-effect regression models to test the relationships between political connection heterogeneity and innovation outcomes. The findings reveal that ascribed political connections promote incremental innovation, while achieved political connections drive radical innovation. Moreover, strong GEO weakens the effect of ascribed political ties on incremental CGTI while enhancing the effect of achieved political ties on radical CGTI. These results contribute to the understanding of how political ties influence corporate innovation strategies and provide insights into the role of dynamic capabilities in green technological advancements.

Keywords

green entrepreneurship orientation, TA168, T1-995, political connection heterogeneity, green technology innovation, dynamic capabilities, Technology (General), Systems engineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold