{"title":"绿色金融倡议在维护海洋健康中的作用:来自国际数据库的新发现。","authors":"Le Thanh Ha","doi":"10.1177/11786302241304616","DOIUrl":null,"url":null,"abstract":"<p><p>This article empirically analyzes the influence of green finance (GF) on ocean health. Employing 10 indicators and a composite Ocean Health Index (OHI) to measure the efficiency and sustainability of ocean economies, the study spans 9 years across 35 countries. Multiple econometric methodologies, including Feasible Generalized Least Squares (FGLS), Panel-Corrected Standard Errors (PCSE), and the 2-step Generalized Method of Moments (GMM), demonstrate a substantial negative association between GF and ocean health. An extensive analysis of GF's relationship to the Ocean Health Index (OHI) components indicates that GF negatively impacts each of the 6 aspects of OHI. In the long run, however, when a Pooled Mean Group Autoregressive Distributed Lag (PMG-ARDL) model is used to assess the short- and long-term impacts, the results show a substantial positive association between GF and the ocean health. <b>JEL code:</b> J4; C12.</p>","PeriodicalId":11827,"journal":{"name":"Environmental Health Insights","volume":"18 ","pages":"11786302241304616"},"PeriodicalIF":2.3000,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11632887/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Function of Green Finance Initiative in Maintaining Ocean Health: Novel Findings From an International Database.\",\"authors\":\"Le Thanh Ha\",\"doi\":\"10.1177/11786302241304616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This article empirically analyzes the influence of green finance (GF) on ocean health. Employing 10 indicators and a composite Ocean Health Index (OHI) to measure the efficiency and sustainability of ocean economies, the study spans 9 years across 35 countries. Multiple econometric methodologies, including Feasible Generalized Least Squares (FGLS), Panel-Corrected Standard Errors (PCSE), and the 2-step Generalized Method of Moments (GMM), demonstrate a substantial negative association between GF and ocean health. An extensive analysis of GF's relationship to the Ocean Health Index (OHI) components indicates that GF negatively impacts each of the 6 aspects of OHI. In the long run, however, when a Pooled Mean Group Autoregressive Distributed Lag (PMG-ARDL) model is used to assess the short- and long-term impacts, the results show a substantial positive association between GF and the ocean health. <b>JEL code:</b> J4; C12.</p>\",\"PeriodicalId\":11827,\"journal\":{\"name\":\"Environmental Health Insights\",\"volume\":\"18 \",\"pages\":\"11786302241304616\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11632887/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Health Insights\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/11786302241304616\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Health Insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/11786302241304616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
The Function of Green Finance Initiative in Maintaining Ocean Health: Novel Findings From an International Database.
This article empirically analyzes the influence of green finance (GF) on ocean health. Employing 10 indicators and a composite Ocean Health Index (OHI) to measure the efficiency and sustainability of ocean economies, the study spans 9 years across 35 countries. Multiple econometric methodologies, including Feasible Generalized Least Squares (FGLS), Panel-Corrected Standard Errors (PCSE), and the 2-step Generalized Method of Moments (GMM), demonstrate a substantial negative association between GF and ocean health. An extensive analysis of GF's relationship to the Ocean Health Index (OHI) components indicates that GF negatively impacts each of the 6 aspects of OHI. In the long run, however, when a Pooled Mean Group Autoregressive Distributed Lag (PMG-ARDL) model is used to assess the short- and long-term impacts, the results show a substantial positive association between GF and the ocean health. JEL code: J4; C12.