Do CEO and chairman characteristics affect green innovation? evidence from a comparative analysis of machine learning models
Using the extreme gradient boosting (XGBoost) algorithm, which is at the forefront of machine learning algorithms, this study comprehensively examines the impact of CEO and chairman characteristics on corporate green innovation. It has been used a sample of listed companies in China from 2010 to 202...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
Springer Science and Business Media
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/115658/1/115658.pdf http://psasir.upm.edu.my/id/eprint/115658/ https://link.springer.com/article/10.1007/s10668-024-05202-3?error=cookies_not_supported&code=47a7f310-fbdd-417b-aa81-6f61ac3e6739 |
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