The Relationship between Government Subsidies and Enterprise Innovation Performance: A Visualized Bibliometric Analysis

Authors

  • Ge Ban
  • Thitinant Wareewanich
  • Thitinan Chankoson

Abstract

Innovation serves as the propelling force behind sustainable economic development. Government, business, and academic circles are increasingly recognizing the impact of government subsidies on enterprise innovation performance. However, there is a dearth of studies examining the relationship between government subsidies and enterprise innovation performance, particularly in terms of bibliometric analysis using visual tools. Therefore, this paper aims to bridge this theoretical gap by conducting a statistical analysis of 322 articles from the WoS platform about government subsidies and enterprise innovation performance. The findings reveal that China emerges as the primary country driving research in this field while Anonymous and Zuniga-Vicente JAe stand out as authoritative authors on this topic. Green innovation, environmental regulation and sustainable development; R&D; innovation performance; corporate governance; enterprise heterogeneity; policy, and strategy form seven key research areas within this theme. Additionally, high-frequency keywords include research and development (R&D), development subsidy, and policy. At the same time, the analysis of the aforementioned keywords, namely firm, technology, green innovation, and strategy, has been explosively conducted in recent years. However, research on green innovation and strategy continues to be ongoing till the present day. It can be inferred that these keywords represent or belong to frontier hotspots of research. This study has not only contributed to further scholarly research in this field but also provided a theoretical reference for government and corporate innovation practices.

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Published

2024-02-02

How to Cite

Ban, G. ., Wareewanich, T. ., & Chankoson, T. . (2024). The Relationship between Government Subsidies and Enterprise Innovation Performance: A Visualized Bibliometric Analysis . Migration Letters, 21(4), 23–45. Retrieved from https://migrationletters.com/index.php/ml/article/view/7208

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Section

Articles