To engage or not to engage in corporate social responsibility: Empirical evidence from global banking sector
Chung-Hua Shen,
Meng-Wen Wu,
Ting-Hsuan Chen and
Hao Fang
Economic Modelling, 2016, vol. 55, issue C, 207-225
Abstract:
Whether or not banks should engage in corporate social responsibility (CSR) activities is controversial because of the concomitant high cost even if banks could enjoy the benefits of a higher income as a result of their good reputation. Faced with this dilemma, bank managers are hesitant to engage in CSR. This study pursues this issue by examining whether or not banks engaging in CSR can bring profits and reduce non-performing loans. We apply three novel estimation methods to obtain the unbiased and full-blown CSR effect. The first two methods are matching methods, namely, conventional propensity score matching method and nearest-neighbor variance bias-corrected matching method (nn-VBC). The third method is Heckman's two-step method in switching regression. Regardless of the methods used, CSR banks overwhelmingly outperform non-CSR banks in terms of return on assets and return on equity. Our study offers policy suggestions for both government regulators and bank managers.
Keywords: Corporate social responsibility; Financial performance; Matching method; Heckman's two-step method (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (67)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999316300189
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:55:y:2016:i:c:p:207-225
DOI: 10.1016/j.econmod.2016.02.007
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().