Advances in Economics, Management and Political Sciences
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Proceedings of the 2nd International Conference on Management Research and Economic Development
Series Vol. 87 , 07 June 2024
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Research on the Impact of High-Tech Enterprise Certification Policy on Corporate Technological Innovation: An Empirical Study Based on Listed Company Data
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Abstract
This study utilizes a variety of models testing for robustness, such as the PSM-DID approach, by analyzing market data from publicly traded companies over the period 2006 to 2022, while omitting any instances suspected of manipulating research and development activities. It delves into how the policy for certifying high-technology companies in China influences their innovative processes. Findings indicate that certification as a high-technology business significantly fosters innovation among Chinese firms, notably in the realm of inventing new patents. Such certification enhances company innovation both directly and indirectly. It is observed that, in comparison to major state-owned corporations, smaller private firms and those driven by shareholder incentives gain more advantages from being recognized as high-tech enterprises. This investigation adds to the academic discourse by offering an empirical analysis of China's policies aimed at bolstering innovation, thereby enabling a deeper insight into the factors propelling company innovation and the complex dynamics between government incentive programs and corporate innovative activities.
Keywords
High-tech enterprise certification, Mathematical statistics, Robustness test, PSM-DID
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Management Research and Economic Development
- ISBN (Print)
- 978-1-83558-469-9
- ISBN (Online)
- 978-1-83558-470-5
- Published Date
- 07 June 2024
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/87/20240789
- Copyright
- 07 June 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited