{"title":"企业社会责任与企业经营:基于银行业的实证分析","authors":"Hsin-Mei Su, Chien-Ming Huang, Ting-Huei Liao","doi":"10.6186/IJIMS.2015.26.2.4","DOIUrl":null,"url":null,"abstract":"This study is to explore the relationship between the domestic banking industries devoting to the Corporate Social Responsibility (CSR) actions with their operating performance. In contrast to the previous studies, this study further observes the effect related to the bank risk taking degree. Regarding recent studies, it can be found the level of corporate social responsibility usually being access by qualitative indicators, but cannot observe the differences brought by the degree of the corporate devotion to CSR. In view of this, by using the CSR quantitative data provided by CSRHUB to the banking industry of Taiwan, taking into account of the operating performance and various levels of risk categories regression models, the empirical results confirm that when the banks devote to CSR, it will be helpful for the company accounting-based performance levels, but it could not explain the potential risk of default, only has a significant relationship with the operating risk. If the bank is the subsidiary of the financial corporation, although devoting to the CSR would increase the operating cost of the company; however, the external benefits associated with CSR could ease the pressure of having less operating profit, and mitigate the fluctuations in earnings.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"16 1","pages":"151-165"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Corporate Social Responsibility and Business Operations: An Empirical Analysis of Banking Industry\",\"authors\":\"Hsin-Mei Su, Chien-Ming Huang, Ting-Huei Liao\",\"doi\":\"10.6186/IJIMS.2015.26.2.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study is to explore the relationship between the domestic banking industries devoting to the Corporate Social Responsibility (CSR) actions with their operating performance. In contrast to the previous studies, this study further observes the effect related to the bank risk taking degree. Regarding recent studies, it can be found the level of corporate social responsibility usually being access by qualitative indicators, but cannot observe the differences brought by the degree of the corporate devotion to CSR. In view of this, by using the CSR quantitative data provided by CSRHUB to the banking industry of Taiwan, taking into account of the operating performance and various levels of risk categories regression models, the empirical results confirm that when the banks devote to CSR, it will be helpful for the company accounting-based performance levels, but it could not explain the potential risk of default, only has a significant relationship with the operating risk. If the bank is the subsidiary of the financial corporation, although devoting to the CSR would increase the operating cost of the company; however, the external benefits associated with CSR could ease the pressure of having less operating profit, and mitigate the fluctuations in earnings.\",\"PeriodicalId\":39953,\"journal\":{\"name\":\"International Journal of Information and Management Sciences\",\"volume\":\"16 1\",\"pages\":\"151-165\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information and Management Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6186/IJIMS.2015.26.2.4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information and Management Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6186/IJIMS.2015.26.2.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
Corporate Social Responsibility and Business Operations: An Empirical Analysis of Banking Industry
This study is to explore the relationship between the domestic banking industries devoting to the Corporate Social Responsibility (CSR) actions with their operating performance. In contrast to the previous studies, this study further observes the effect related to the bank risk taking degree. Regarding recent studies, it can be found the level of corporate social responsibility usually being access by qualitative indicators, but cannot observe the differences brought by the degree of the corporate devotion to CSR. In view of this, by using the CSR quantitative data provided by CSRHUB to the banking industry of Taiwan, taking into account of the operating performance and various levels of risk categories regression models, the empirical results confirm that when the banks devote to CSR, it will be helpful for the company accounting-based performance levels, but it could not explain the potential risk of default, only has a significant relationship with the operating risk. If the bank is the subsidiary of the financial corporation, although devoting to the CSR would increase the operating cost of the company; however, the external benefits associated with CSR could ease the pressure of having less operating profit, and mitigate the fluctuations in earnings.
期刊介绍:
- Information Management - Management Sciences - Operation Research - Decision Theory - System Theory - Statistics - Business Administration - Finance - Numerical computations - Statistical simulations - Decision support system - Expert system - Knowledge-based systems - Artificial intelligence