Chi Keung Lau , Hemachandra Padhan , Amit Kumar Das , Aviral Kumar Tiwari , Giray Gozgor , Preksha Jain
{"title":"绿色债券对实现碳中和的工业可持续性的作用:来自人工神经网络方法的证据","authors":"Chi Keung Lau , Hemachandra Padhan , Amit Kumar Das , Aviral Kumar Tiwari , Giray Gozgor , Preksha Jain","doi":"10.1016/j.ribaf.2024.102659","DOIUrl":null,"url":null,"abstract":"<div><div>This paper examines the role of green bonds on industrial sustainability in 15 Organisation for Economic Co-operation and Development (OECD) economies from 2010 to 2020. In this context, we utilise the Augmented Mean Group (AMG), the Artificial Neural Network (ANN), and the Kernel-based Regularised Least Squares (KRLS) methods. It is found that the ANN predicts the influence of green bonds on industrial sustainability more accurately than other methods. It is also observed that green bonds accelerate industrial sustainability in the OECD economies. The upper percentile group is primarily concerned with industrial sustainability rather than the lower- and middle percentile groups. Therefore, the OECD economies should emphasise the green bonds component in the green finance baskets to achieve carbon neutrality.</div></div>","PeriodicalId":51430,"journal":{"name":"Research in International Business and Finance","volume":"73 ","pages":"Article 102659"},"PeriodicalIF":6.3000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The role of green bonds on industrial sustainability for achieving carbon neutrality: Evidence from the artificial neural network method\",\"authors\":\"Chi Keung Lau , Hemachandra Padhan , Amit Kumar Das , Aviral Kumar Tiwari , Giray Gozgor , Preksha Jain\",\"doi\":\"10.1016/j.ribaf.2024.102659\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper examines the role of green bonds on industrial sustainability in 15 Organisation for Economic Co-operation and Development (OECD) economies from 2010 to 2020. In this context, we utilise the Augmented Mean Group (AMG), the Artificial Neural Network (ANN), and the Kernel-based Regularised Least Squares (KRLS) methods. It is found that the ANN predicts the influence of green bonds on industrial sustainability more accurately than other methods. It is also observed that green bonds accelerate industrial sustainability in the OECD economies. The upper percentile group is primarily concerned with industrial sustainability rather than the lower- and middle percentile groups. Therefore, the OECD economies should emphasise the green bonds component in the green finance baskets to achieve carbon neutrality.</div></div>\",\"PeriodicalId\":51430,\"journal\":{\"name\":\"Research in International Business and Finance\",\"volume\":\"73 \",\"pages\":\"Article 102659\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2024-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in International Business and Finance\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0275531924004525\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in International Business and Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0275531924004525","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
The role of green bonds on industrial sustainability for achieving carbon neutrality: Evidence from the artificial neural network method
This paper examines the role of green bonds on industrial sustainability in 15 Organisation for Economic Co-operation and Development (OECD) economies from 2010 to 2020. In this context, we utilise the Augmented Mean Group (AMG), the Artificial Neural Network (ANN), and the Kernel-based Regularised Least Squares (KRLS) methods. It is found that the ANN predicts the influence of green bonds on industrial sustainability more accurately than other methods. It is also observed that green bonds accelerate industrial sustainability in the OECD economies. The upper percentile group is primarily concerned with industrial sustainability rather than the lower- and middle percentile groups. Therefore, the OECD economies should emphasise the green bonds component in the green finance baskets to achieve carbon neutrality.
期刊介绍:
Research in International Business and Finance (RIBAF) seeks to consolidate its position as a premier scholarly vehicle of academic finance. The Journal publishes high quality, insightful, well-written papers that explore current and new issues in international finance. Papers that foster dialogue, innovation, and intellectual risk-taking in financial studies; as well as shed light on the interaction between finance and broader societal concerns are particularly appreciated. The Journal welcomes submissions that seek to expand the boundaries of academic finance and otherwise challenge the discipline. Papers studying finance using a variety of methodologies; as well as interdisciplinary studies will be considered for publication. Papers that examine topical issues using extensive international data sets are welcome. Single-country studies can also be considered for publication provided that they develop novel methodological and theoretical approaches or fall within the Journal''s priority themes. It is especially important that single-country studies communicate to the reader why the particular chosen country is especially relevant to the issue being investigated. [...] The scope of topics that are most interesting to RIBAF readers include the following: -Financial markets and institutions -Financial practices and sustainability -The impact of national culture on finance -The impact of formal and informal institutions on finance -Privatizations, public financing, and nonprofit issues in finance -Interdisciplinary financial studies -Finance and international development -International financial crises and regulation -Financialization studies -International financial integration and architecture -Behavioral aspects in finance -Consumer finance -Methodologies and conceptualization issues related to finance