{"title":"旧陷阱换新骡子:金融体系在摆脱中等收入陷阱中的作用研究","authors":"Srijanie Banerjee, Manish Sinha, Mrinalini Kacker","doi":"10.24294/fsj.v6i1.2301","DOIUrl":null,"url":null,"abstract":"The middle-income trap has been in developmental discussions for the better part of the last decade since the inability of most Latin American countries to break out of it. There is renewed interest in the concept since the realisation that one of the biggest economies in the world, i.e., China could be caught in it. While there is abundant literature on the part that social infrastructure and human capital development plays, the effect of financial systems is relatively ignored. This paper seeks to fill this gap by understanding the role of financial system variables in escaping the middle-income trap. By taking a sample of thirteen countries and using two classification techniques—Naive Bayes and random forest, it is concluded that both bank-based measures and market-based measures have an impact on income levels. These results have strong implications on understanding how to break out of the trap for policymakers.","PeriodicalId":447992,"journal":{"name":"Financial Statistical Journal","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Old trap for a new mule: A study on the role of financial systems in escaping the middle-income trap\",\"authors\":\"Srijanie Banerjee, Manish Sinha, Mrinalini Kacker\",\"doi\":\"10.24294/fsj.v6i1.2301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The middle-income trap has been in developmental discussions for the better part of the last decade since the inability of most Latin American countries to break out of it. There is renewed interest in the concept since the realisation that one of the biggest economies in the world, i.e., China could be caught in it. While there is abundant literature on the part that social infrastructure and human capital development plays, the effect of financial systems is relatively ignored. This paper seeks to fill this gap by understanding the role of financial system variables in escaping the middle-income trap. By taking a sample of thirteen countries and using two classification techniques—Naive Bayes and random forest, it is concluded that both bank-based measures and market-based measures have an impact on income levels. These results have strong implications on understanding how to break out of the trap for policymakers.\",\"PeriodicalId\":447992,\"journal\":{\"name\":\"Financial Statistical Journal\",\"volume\":\"117 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Financial Statistical Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24294/fsj.v6i1.2301\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Financial Statistical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24294/fsj.v6i1.2301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Old trap for a new mule: A study on the role of financial systems in escaping the middle-income trap
The middle-income trap has been in developmental discussions for the better part of the last decade since the inability of most Latin American countries to break out of it. There is renewed interest in the concept since the realisation that one of the biggest economies in the world, i.e., China could be caught in it. While there is abundant literature on the part that social infrastructure and human capital development plays, the effect of financial systems is relatively ignored. This paper seeks to fill this gap by understanding the role of financial system variables in escaping the middle-income trap. By taking a sample of thirteen countries and using two classification techniques—Naive Bayes and random forest, it is concluded that both bank-based measures and market-based measures have an impact on income levels. These results have strong implications on understanding how to break out of the trap for policymakers.