{"title":"绿色债券对制造业企业信用风险的影响研究","authors":"Chun Cheng, Xu-qian Wen, Kai Xu","doi":"10.54560/jracr.v13i3.382","DOIUrl":null,"url":null,"abstract":"This article takes 30 listed enterprises in the manufacturing industry as samples, uses the KMV model to measure the default distance, and tests the validity of the measurement results to investigate whether issuing green bonds has a potential impact on the credit risk of enterprises. The results show that the KMV model has a better ability to predict corporate credit risk; and enterprises that have issued green bonds generally have lower credit risk due to signaling effects and other effects. Finally, this article puts forward relevant recommendations such as policy support and database construction based on the research results. This article provides a basis for enterprises to broaden financing channels and strengthen credit risk management.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Impact of Green Bonds on Credit Risk of Manufacturing Enterprises\",\"authors\":\"Chun Cheng, Xu-qian Wen, Kai Xu\",\"doi\":\"10.54560/jracr.v13i3.382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article takes 30 listed enterprises in the manufacturing industry as samples, uses the KMV model to measure the default distance, and tests the validity of the measurement results to investigate whether issuing green bonds has a potential impact on the credit risk of enterprises. The results show that the KMV model has a better ability to predict corporate credit risk; and enterprises that have issued green bonds generally have lower credit risk due to signaling effects and other effects. Finally, this article puts forward relevant recommendations such as policy support and database construction based on the research results. This article provides a basis for enterprises to broaden financing channels and strengthen credit risk management.\",\"PeriodicalId\":31887,\"journal\":{\"name\":\"Journal of Risk Analysis and Crisis Response JRACR\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Risk Analysis and Crisis Response JRACR\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54560/jracr.v13i3.382\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Risk Analysis and Crisis Response JRACR","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54560/jracr.v13i3.382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Impact of Green Bonds on Credit Risk of Manufacturing Enterprises
This article takes 30 listed enterprises in the manufacturing industry as samples, uses the KMV model to measure the default distance, and tests the validity of the measurement results to investigate whether issuing green bonds has a potential impact on the credit risk of enterprises. The results show that the KMV model has a better ability to predict corporate credit risk; and enterprises that have issued green bonds generally have lower credit risk due to signaling effects and other effects. Finally, this article puts forward relevant recommendations such as policy support and database construction based on the research results. This article provides a basis for enterprises to broaden financing channels and strengthen credit risk management.