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Erschienen in: Review of Quantitative Finance and Accounting 1/2017

20.06.2016 | Original Research

Application of multi-level matching between financial performance and corporate social responsibility in the banking industry

verfasst von: Meng-Wen Wu, Chung-Hua Shen, Ting-Hsuan Chen

Erschienen in: Review of Quantitative Finance and Accounting | Ausgabe 1/2017

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Abstract

This study applies a new matching method to examine the old yet debatable idea that high corporate social responsibility (CSR) is associated with improved bank financial performance (FP). The conventional matching method focuses on one treatment effect. Thus, the old method is considered inappropriate when banks exhibit various degrees of CSR. To address this problem, we first apply the new multi-level matching method to multi-degree CSR and therefore contribute to studies that consider multi-degree CSR without adopting a multi-level matching method. We propose that “the more CSR, the better the FP,” which implies that banks engaged in more CSR exhibit better FP. Results before and after the matching significantly differ. CSR insignificantly influences bank FP before matching, but CSR has a strongly positive influence on bank FP after matching. Such effect on bank FP is further strengthened when banks increase their CSR activities, which supports our argument.

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Fußnoten
1
Friedman (1970) holds a different view and asserts that the social responsibility of firms aims to obtain maximum profits for shareholders.
 
2
Imbens (2004) suggests an intuitive manner of checking whether or not a treatment is effective for the lagged outcome. If the effect is zero, then the unconfoundedness assumption possibly holds. However, this test requires knowing the starting dates of the treatment event, and the exact dates of adopting the varying degrees of treatment in social science may not be available.
 
3
EIRIS is a company that administers questionnaires to more than 10,000 corporations to assess their level of CSR. EIRIS was founded in 1983 by churches and charities interested in making principled investment decisions. EIRIS is a global provider of survey data, and it analyzes surveys for clients, which include 80 major institutional investors and other socially responsible mutual funds.
 
4
Kinder, Lydenberg, and Domini is a company that compiles social responsibility rating indices. This database rates a wide range of firms in terms of various degrees of social responsibility, including community participation, diversity, employee interests, environmental considerations, and shareholder interests. Other firms adopt alternative CSR ratings, such as the Business in the Community-Corporate Responsibility Rating, Oekom-Corporate Responsibility Rating, and Vigeo-Corporate Social Responsibility Rating.
 
5
For example, Jehn et al. (1999) conducted surveys with the five-point Likert scale to explore the differential effects of social category diversity, value diversity, informational diversity, task type, and task interdependence on workgroup performance. Al-Hussami (2008) investigated the relationship of the job satisfaction of nurses with their organizational commitment and perceived organization by conducting surveys with the five-point Likert scale. Gil et al. (2005) administered surveys with the five-point Likert scale to analyze the effects of change-oriented leaders on group outcomes.
 
6
Previous empirical studies use the PSM method to investigate various issues. For example, Pana et al. (2015) use the PSM method to investigate the effect of the adoption of transactional websites by credit unions and find that transactional websites offer credit union members convenient services with no negative effect on the interest rate on deposits.
 
7
Similar to other studies, we consider ROE as the proxy for bank FP because for a high leveraged firm, such as a bank, investors are more concerned about ROE than other measures. Ackermann (2010) states that a low ROE can make investments in the banking sector unattractive relative to other business sectors. Mishkin (2013) states that a high capital induces a decrease in return on equity and increase in safety.
 
8
The former is English in origin, whereas the latter is derived from Roman law, which consists of French, German, and Scandinavian countries.
 
9
The net effect of CSR(s) = (coefficient + coefficient × GDPPER) × CSR(s), where GDPPER is inserted using the average of GDP per capita in each CSR regime. The averages of the GDP per capita in the four regimes are 27,450.7, 36,073.3, 38,523.6, and 43,746.1.
 
10
The net effect of CSR(s) = (coefficient + coefficient × GDPGROWTH) × CSR(s), where GDPGROWTH is inserted using average of GDP growth rate in each CSR regime. The averages of the GDP growth rate in the four regimes are 2.565, 0.791, 0.494, and 0.770 %.
 
11
We do not report the estimated results here, but the report is available upon request.
 
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Metadaten
Titel
Application of multi-level matching between financial performance and corporate social responsibility in the banking industry
verfasst von
Meng-Wen Wu
Chung-Hua Shen
Ting-Hsuan Chen
Publikationsdatum
20.06.2016
Verlag
Springer US
Erschienen in
Review of Quantitative Finance and Accounting / Ausgabe 1/2017
Print ISSN: 0924-865X
Elektronische ISSN: 1573-7179
DOI
https://doi.org/10.1007/s11156-016-0582-0

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