The Threshold and Asymmetric Effects of Financial Development on Economic Growth in BRICS Countries: Evidence from Panel Threshold-ARDL

Q4 Economics, Econometrics and Finance Iranian Economic Review Pub Date : 2021-10-12 DOI:10.22059/IER.2021.83921
M. Abdu, Selvasundaram Kumaravel, Sagathevan Sooriyan
{"title":"The Threshold and Asymmetric Effects of Financial Development on Economic Growth in BRICS Countries: Evidence from Panel Threshold-ARDL","authors":"M. Abdu, Selvasundaram Kumaravel, Sagathevan Sooriyan","doi":"10.22059/IER.2021.83921","DOIUrl":null,"url":null,"abstract":"In this paper we study the asymmetric effect and threshold of financial development on economic growth. We present a fresh evidence using the panel threshold-ARDL (Panel-TARDL) model for the 5 BRICS countries including Brazil, Russia, India, China and South Africa. We apply the Pool Mean Group (PMG) procedure for the estimation. The findings reveal that the long run threshold and asymmetric effects of finance taking place once the credit reached 38% of GDP. The financial development significantly improve the economic growth only below the threshold point thereafter the effect becomes negative. We find no significant threshold and asymmetry in the short run. Using a 58% as a threshold we find a negative effect of finance for both the segments of the threshold and no asymmetry is detected. These suggest that any level of credit above 38% of GDP will produce an adverse effect of finance on growth. The Policy implications of these results are also discussed.","PeriodicalId":38289,"journal":{"name":"Iranian Economic Review","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Economic Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22059/IER.2021.83921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper we study the asymmetric effect and threshold of financial development on economic growth. We present a fresh evidence using the panel threshold-ARDL (Panel-TARDL) model for the 5 BRICS countries including Brazil, Russia, India, China and South Africa. We apply the Pool Mean Group (PMG) procedure for the estimation. The findings reveal that the long run threshold and asymmetric effects of finance taking place once the credit reached 38% of GDP. The financial development significantly improve the economic growth only below the threshold point thereafter the effect becomes negative. We find no significant threshold and asymmetry in the short run. Using a 58% as a threshold we find a negative effect of finance for both the segments of the threshold and no asymmetry is detected. These suggest that any level of credit above 38% of GDP will produce an adverse effect of finance on growth. The Policy implications of these results are also discussed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
金砖国家金融发展对经济增长的门槛与非对称效应——来自面板门槛ARDL的证据
本文研究了金融发展对经济增长的非对称效应和门槛。我们使用面板阈值ARDL(panel TARDL)模型为包括巴西、俄罗斯、印度、中国和南非在内的5个金砖国家提供了新的证据。我们应用池平均群(PMG)程序进行估计。研究结果表明,一旦信贷占GDP的38%,金融的长期门槛和不对称效应就会发生。金融发展对经济增长的显著改善仅在阈值以下,此后效果变为负。从短期来看,我们没有发现显著的阈值和不对称性。使用58%作为阈值,我们发现金融对阈值的两个部分都有负面影响,并且没有检测到不对称性。这表明,任何超过GDP 38%的信贷水平都会对金融增长产生不利影响。还讨论了这些结果的政策含义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Iranian Economic Review
Iranian Economic Review Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
0.70
自引率
0.00%
发文量
0
期刊最新文献
The Role of Institutional Quality in the Impact of Oil Rents on Financial Development in Brazil and Norway Interaction between Financial Cycles and Business Cycles in Iran: A Bayesian Approach The Threshold and Asymmetric Effects of Financial Development on Economic Growth in BRICS Countries: Evidence from Panel Threshold-ARDL Forecasting Gasoline Consumption in Iran using Deep Learning Approaches Identifying the Moderating Role of Income Smoothing and Credit Quality towards Corporate Governance and Determinants
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1