{"title":"金融与增长:非线性与结构性转变","authors":"Konstantin Krinichansky, Maksim Yurevich","doi":"10.22394/1993-7601-2023-72-5-22","DOIUrl":null,"url":null,"abstract":"This study focuses on the nature and limits of the relationship between financial development and economic growth. The revealed non-linearity of this relationship is associated with a latent restructuring of mechanisms of economic financing, which took place during the financial and economic crisis of 2007–2009 and the years following it. The crisis, which hit the banking sector the hardest, simultaneously increased the role of the stock market. Using the two-step system GMM approach and the structural breaks algorithm, it is shown that the economic growth rates after 2010 are significantly related to stock market indicators, rather than the credit depth ones commonly used in finance-growth models","PeriodicalId":8045,"journal":{"name":"Applied Econometrics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Finance and growth: Nonlinearity and structural shifts\",\"authors\":\"Konstantin Krinichansky, Maksim Yurevich\",\"doi\":\"10.22394/1993-7601-2023-72-5-22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study focuses on the nature and limits of the relationship between financial development and economic growth. The revealed non-linearity of this relationship is associated with a latent restructuring of mechanisms of economic financing, which took place during the financial and economic crisis of 2007–2009 and the years following it. The crisis, which hit the banking sector the hardest, simultaneously increased the role of the stock market. Using the two-step system GMM approach and the structural breaks algorithm, it is shown that the economic growth rates after 2010 are significantly related to stock market indicators, rather than the credit depth ones commonly used in finance-growth models\",\"PeriodicalId\":8045,\"journal\":{\"name\":\"Applied Econometrics\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Econometrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22394/1993-7601-2023-72-5-22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22394/1993-7601-2023-72-5-22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
Finance and growth: Nonlinearity and structural shifts
This study focuses on the nature and limits of the relationship between financial development and economic growth. The revealed non-linearity of this relationship is associated with a latent restructuring of mechanisms of economic financing, which took place during the financial and economic crisis of 2007–2009 and the years following it. The crisis, which hit the banking sector the hardest, simultaneously increased the role of the stock market. Using the two-step system GMM approach and the structural breaks algorithm, it is shown that the economic growth rates after 2010 are significantly related to stock market indicators, rather than the credit depth ones commonly used in finance-growth models
Applied EconometricsEconomics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
0.70
自引率
0.00%
发文量
0
期刊介绍:
The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.