货币政策冲击对阿富汗工业产出的影响

Q2 Economics, Econometrics and Finance Journal of Asian Finance, Economics and Business Pub Date : 2023-09-30 DOI:10.17261/pressacademia.2023.1812
Sardar Naeem Hakimzai
{"title":"货币政策冲击对阿富汗工业产出的影响","authors":"Sardar Naeem Hakimzai","doi":"10.17261/pressacademia.2023.1812","DOIUrl":null,"url":null,"abstract":"Purpose- This study examines the impact of monetary policy shocks on industrial output in Afghanistan. Quarterly secondary data were collected for the period from 2003 to 2021 from various official sources such as the Statistical Bulletin of the Central Bank of Afghanistan, the International Monetary Fund, and the World Bank. Methodology- This study used a three-stage procedure. The first stage involved testing the stability of the variables to be included in the model. The second stage involves selecting the optimal lag length using various lag length criteria. Finally, the Vector Error Correction (VECM) model was used to determine if there were any short-run correlations or dynamics among the variables. The study also conducted some post-tests to confirm the validity and robustness of the regression model. Findings- The results of the long-run vector error correction model show that there is a long-run causality running from monetary policy rate, broad money supply, inflation, exchange rate, and a commercial bank loan to the industrial sector. So, there was a speed of adjustment from the short-run to the long-run equilibrium. However, the Wald test confirmed that the short-run causality runs from the explanatory variables to the dependent variable. Commercial bank credit to the industrial sector was found to cause a change in industrial production in all six lag periods. The results were further supported by the Granger causality test. Shocks in commercial bank lending to the industrial sector were found to have no significant effect on industrial output. However, the performance of the industrial sector was the main cause of the flow of commercial banks' credit to the industrial sector. Conclusion- The study recommends that monetary policy should proceed with extreme caution in managing the exchange rate. The study also recommends that the Central Bank of Afghanistan should encourage commercial banks to offer credit to the industrial sector at low-interest rates. Keywords: Monetary policy shocks, industrial output, Vector Error Correction Model (VECM), Granger Causality Test, Afghanistan. JEL Codes: E52, E32, L60","PeriodicalId":15124,"journal":{"name":"Journal of Asian Finance, Economics and Business","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The effect of monetary policy shocks on industrial output in Afghanistan\",\"authors\":\"Sardar Naeem Hakimzai\",\"doi\":\"10.17261/pressacademia.2023.1812\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose- This study examines the impact of monetary policy shocks on industrial output in Afghanistan. Quarterly secondary data were collected for the period from 2003 to 2021 from various official sources such as the Statistical Bulletin of the Central Bank of Afghanistan, the International Monetary Fund, and the World Bank. Methodology- This study used a three-stage procedure. The first stage involved testing the stability of the variables to be included in the model. The second stage involves selecting the optimal lag length using various lag length criteria. Finally, the Vector Error Correction (VECM) model was used to determine if there were any short-run correlations or dynamics among the variables. The study also conducted some post-tests to confirm the validity and robustness of the regression model. Findings- The results of the long-run vector error correction model show that there is a long-run causality running from monetary policy rate, broad money supply, inflation, exchange rate, and a commercial bank loan to the industrial sector. So, there was a speed of adjustment from the short-run to the long-run equilibrium. However, the Wald test confirmed that the short-run causality runs from the explanatory variables to the dependent variable. Commercial bank credit to the industrial sector was found to cause a change in industrial production in all six lag periods. The results were further supported by the Granger causality test. Shocks in commercial bank lending to the industrial sector were found to have no significant effect on industrial output. However, the performance of the industrial sector was the main cause of the flow of commercial banks' credit to the industrial sector. Conclusion- The study recommends that monetary policy should proceed with extreme caution in managing the exchange rate. The study also recommends that the Central Bank of Afghanistan should encourage commercial banks to offer credit to the industrial sector at low-interest rates. Keywords: Monetary policy shocks, industrial output, Vector Error Correction Model (VECM), Granger Causality Test, Afghanistan. JEL Codes: E52, E32, L60\",\"PeriodicalId\":15124,\"journal\":{\"name\":\"Journal of Asian Finance, Economics and Business\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Asian Finance, Economics and Business\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17261/pressacademia.2023.1812\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Asian Finance, Economics and Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17261/pressacademia.2023.1812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

摘要

目的:本研究考察了货币政策冲击对阿富汗工业产出的影响。2003年至2021年期间的季度二级数据收集自各种官方来源,如阿富汗中央银行统计公报、国际货币基金组织和世界银行。研究方法:本研究采用三阶段程序。第一阶段包括测试模型中包含的变量的稳定性。第二阶段涉及使用各种延迟长度标准选择最佳延迟长度。最后,使用向量误差校正(VECM)模型来确定变量之间是否存在任何短期相关性或动态。本研究还进行了一些后验,以验证回归模型的有效性和稳健性。长期向量误差修正模型的结果表明,货币政策利率、广义货币供应量、通货膨胀、汇率和商业银行对工业部门的贷款之间存在长期因果关系。因此,从短期均衡到长期均衡有一个调整的速度。然而,Wald检验证实了短期因果关系从解释变量到因变量。研究发现,商业银行对工业部门的信贷在所有六个滞后期都引起了工业生产的变化。结果进一步得到格兰杰因果检验的支持。研究发现,商业银行对工业部门贷款的冲击对工业产出没有显著影响。然而,工业部门的表现是商业银行信贷流向工业部门的主要原因。结论:研究建议,货币政策在管理汇率方面应极其谨慎。该研究还建议,阿富汗中央银行应鼓励商业银行以低利率向工业部门提供信贷。关键词:货币政策冲击,工业产出,向量误差修正模型,格兰杰因果检验,阿富汗JEL代码:E52, E32, L60
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
The effect of monetary policy shocks on industrial output in Afghanistan
Purpose- This study examines the impact of monetary policy shocks on industrial output in Afghanistan. Quarterly secondary data were collected for the period from 2003 to 2021 from various official sources such as the Statistical Bulletin of the Central Bank of Afghanistan, the International Monetary Fund, and the World Bank. Methodology- This study used a three-stage procedure. The first stage involved testing the stability of the variables to be included in the model. The second stage involves selecting the optimal lag length using various lag length criteria. Finally, the Vector Error Correction (VECM) model was used to determine if there were any short-run correlations or dynamics among the variables. The study also conducted some post-tests to confirm the validity and robustness of the regression model. Findings- The results of the long-run vector error correction model show that there is a long-run causality running from monetary policy rate, broad money supply, inflation, exchange rate, and a commercial bank loan to the industrial sector. So, there was a speed of adjustment from the short-run to the long-run equilibrium. However, the Wald test confirmed that the short-run causality runs from the explanatory variables to the dependent variable. Commercial bank credit to the industrial sector was found to cause a change in industrial production in all six lag periods. The results were further supported by the Granger causality test. Shocks in commercial bank lending to the industrial sector were found to have no significant effect on industrial output. However, the performance of the industrial sector was the main cause of the flow of commercial banks' credit to the industrial sector. Conclusion- The study recommends that monetary policy should proceed with extreme caution in managing the exchange rate. The study also recommends that the Central Bank of Afghanistan should encourage commercial banks to offer credit to the industrial sector at low-interest rates. Keywords: Monetary policy shocks, industrial output, Vector Error Correction Model (VECM), Granger Causality Test, Afghanistan. JEL Codes: E52, E32, L60
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊最新文献
The meaning and practice of inclusion AMIDST gender diversity on boards of public sector organizations in Uganda COMPARATIVE ANALYSIS OF TALENT MANAGEMENT AT THE LEVEL OF ACADEMIC STUDIES THE MEDIATING EFFECT OF BRAND LIKEABILITY ON THE RELATIONSHIP BETWEEN BRAND IMAGE AND CONSPICUOUS CONSUMPTION DETERMINATION OF NEW FLIGHT ROUTE WITH DEA METHOD IN AIRLINE OPERATIONS INVESTIGATION OF TURKIYE S PERSPECTIVE ON SCIENCE AND TECHNOLOGY BY COUNTRY WITH MULTIVARIABLE STATISTICAL TECHNIQUES
×
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