Nonlinear impacts of CSR performance on firm risk: New evidence using a panel smooth threshold regression
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DOI: 10.1016/j.frl.2022.102721
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Cited by:
- Kong, Dongmin & Xiong, Mengxu & Qin, Ni, 2022. "Business Tax reform and CSR engagement: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 82(C).
- Veltri, Stefania & Bruni, Maria Elena & Iazzolino, Gianpaolo & Morea, Donato & Baldissarro, Giovanni, 2023. "Do ESG factors improve utilities corporate efficiency and reduce the risk perceived by credit lending institutions? An empirical analysis," Utilities Policy, Elsevier, vol. 81(C).
- Wang, Tianyu & Yang, Bo, 2023. "Corporate social responsibility, stakeholders’ governance and idiosyncratic risk," Finance Research Letters, Elsevier, vol. 57(C).
- Ehsan Poursoleyman & Gholamreza Mansourfar & Mohammad Kabir Hassan & Saeid Homayoun, 2024. "Did Corporate Social Responsibility Vaccinate Corporations Against COVID-19?," Journal of Business Ethics, Springer, vol. 189(3), pages 525-551, January.
- Uyar, Ali & Kuzey, Cemil & Karaman, Abdullah S., 2022. "ESG performance and CSR awards: Does consistency matter?," Finance Research Letters, Elsevier, vol. 50(C).
- Samuel Buertey & Richard Ramsawak & Raymond K. Dziwornu & Yong‐Seok Lee, 2024. "Corporate social responsibility and dividend payout policy in extraordinary time: Empirical study of South Africa," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(1), pages 514-527, January.
- Caiazza, Stefano & Galloppo, Giuseppe & La Rosa, Giovanni, 2023. "The mitigation role of corporate sustainability: Evidence from the CDS spread," Finance Research Letters, Elsevier, vol. 52(C).
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More about this item
Keywords
Corporate social responsibility; Firm risk; Panel smooth threshold regression;All these keywords.
JEL classification:
- G30 - Financial Economics - - Corporate Finance and Governance - - - General
- L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
- C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
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