Rizwan Firdos, Mohammad Subhan, Babu Bakhsh Mansuri, Majed Alharthi
{"title":"解读 COVID-19 大流行病对外国直接投资的影响及其决定因素:南盟国家的经验启示","authors":"Rizwan Firdos, Mohammad Subhan, Babu Bakhsh Mansuri, Majed Alharthi","doi":"10.1108/jes-08-2023-0420","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>This paper aims to unravel the impact of post-pandemic COVID-19 on foreign direct investment (FDI) and its determinants in the South Asian Association for Regional Cooperation (SAARC) Countries.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>The study utilized four macroeconomic variables includes growth domestic product growth rate (GDPG), inflation rate (IR), exchange rate (ER), and unemployment rate (UR) to assess their impact on post-pandemic FDI, along with two variables control of corruption (CC) and political stability (PS) to measure the influence of good governance. Random effects, fixed effects, cluster random effects, cluster fixed effects and generalized method of moments (GMM) models were applied to a balanced panel dataset comprising eight SAARC countries over the period 2010–2021. To identify the random trend component in each variable, three renowned unit root tests (Levin, Lin and Chu LLC, Im-Pesaran-Shin IPS and Augmented Dickey-Fuller ADF) were used, and co-integration associations between variables were verified through the Pedroni and Kao approaches. Data analysis was performed using STATA 17 software.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The major findings revealed that the variables have an order of integration at the first difference I (1). Nonetheless, this situation suggests the possibility of a long-term link between the series. And the main results of the findings show that the coefficients of GDPG, CC and PS are positive and significant in the long run, showing that these variables boosted FDI inflows in the SAARC region as they are significantly positively linked to FDI inflows. Similarly, the coefficients of UR, IR, ER and COVID-19 are negative and significant.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>By identifying the specific impacts of the post-pandemic FDI and its determinants, governments and policymakers can formulate targeted policies and measures to mitigate the adverse effects and enhance investment attractiveness. Additionally, investors can gain a deeper understanding of the risk factors and adapt their strategies accordingly, ensuring resilience and sustainable growth. Finally, this paper adds value to the literature on the post-pandemic impact on FDI inflows in the SAARC region.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This paper is the first attempt to trace the impact of COVID-19 on Foreign Direct Investment and its determinants in the SAARC Countries. Most of the previous studies were analytical in nature and, if empirical, excluded some countries due to the unviability of the data set. This study includes all the SAARC member countries, and all variables' data are completely available. There is still a lack of empirical studies related to the SAARC region; this study attempts to fill the gap.</p><!--/ Abstract__block -->","PeriodicalId":47604,"journal":{"name":"JOURNAL OF ECONOMIC STUDIES","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unraveling the impact of COVID-19 pandemic on foreign direct investment and its determinants: empirical insights from SAARC countries\",\"authors\":\"Rizwan Firdos, Mohammad Subhan, Babu Bakhsh Mansuri, Majed Alharthi\",\"doi\":\"10.1108/jes-08-2023-0420\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>This paper aims to unravel the impact of post-pandemic COVID-19 on foreign direct investment (FDI) and its determinants in the South Asian Association for Regional Cooperation (SAARC) Countries.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>The study utilized four macroeconomic variables includes growth domestic product growth rate (GDPG), inflation rate (IR), exchange rate (ER), and unemployment rate (UR) to assess their impact on post-pandemic FDI, along with two variables control of corruption (CC) and political stability (PS) to measure the influence of good governance. Random effects, fixed effects, cluster random effects, cluster fixed effects and generalized method of moments (GMM) models were applied to a balanced panel dataset comprising eight SAARC countries over the period 2010–2021. To identify the random trend component in each variable, three renowned unit root tests (Levin, Lin and Chu LLC, Im-Pesaran-Shin IPS and Augmented Dickey-Fuller ADF) were used, and co-integration associations between variables were verified through the Pedroni and Kao approaches. Data analysis was performed using STATA 17 software.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>The major findings revealed that the variables have an order of integration at the first difference I (1). Nonetheless, this situation suggests the possibility of a long-term link between the series. And the main results of the findings show that the coefficients of GDPG, CC and PS are positive and significant in the long run, showing that these variables boosted FDI inflows in the SAARC region as they are significantly positively linked to FDI inflows. Similarly, the coefficients of UR, IR, ER and COVID-19 are negative and significant.</p><!--/ Abstract__block -->\\n<h3>Practical implications</h3>\\n<p>By identifying the specific impacts of the post-pandemic FDI and its determinants, governments and policymakers can formulate targeted policies and measures to mitigate the adverse effects and enhance investment attractiveness. Additionally, investors can gain a deeper understanding of the risk factors and adapt their strategies accordingly, ensuring resilience and sustainable growth. Finally, this paper adds value to the literature on the post-pandemic impact on FDI inflows in the SAARC region.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>This paper is the first attempt to trace the impact of COVID-19 on Foreign Direct Investment and its determinants in the SAARC Countries. Most of the previous studies were analytical in nature and, if empirical, excluded some countries due to the unviability of the data set. This study includes all the SAARC member countries, and all variables' data are completely available. There is still a lack of empirical studies related to the SAARC region; this study attempts to fill the gap.</p><!--/ Abstract__block -->\",\"PeriodicalId\":47604,\"journal\":{\"name\":\"JOURNAL OF ECONOMIC STUDIES\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-01-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JOURNAL OF ECONOMIC STUDIES\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/jes-08-2023-0420\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF ECONOMIC STUDIES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jes-08-2023-0420","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
摘要
本文旨在揭示 COVID-19 大流行后对南亚区域合作联盟(SAARC)国家外国直接投资(FDI)的影响及其决定因素。设计/方法/途径本研究利用四个宏观经济变量(包括国内生产总值增长率(GDPG)、通货膨胀率(IR)、汇率(ER)和失业率(UR))来评估它们对大流行后外国直接投资的影响,同时利用腐败控制(CC)和政治稳定性(PS)两个变量来衡量善治的影响。随机效应、固定效应、集群随机效应、集群固定效应和广义矩法(GMM)模型被应用于 2010-2021 年期间由八个南盟国家组成的平衡面板数据集。为了识别每个变量中的随机趋势成分,使用了三种著名的单位根检验(Levin, Lin and Chu LLC、Im-Pesaran-Shin IPS 和 Augmented Dickey-Fuller ADF),并通过 Pedroni 和 Kao 方法验证了变量之间的协整关系。数据分析使用 STATA 17 软件进行。然而,这种情况表明序列之间可能存在长期联系。主要研究结果表明,GDPG、CC 和 PS 的系数为正且长期显著,表明这些变量促进了南盟地区的外国直接投资流入,因为它们与外国直接投资流入显著正相关。通过确定大流行后外国直接投资的具体影响及其决定因素,政府和政策制定者可以制定有针对性的政策和措施,以减轻不利影响并提高投资吸引力。此外,投资者可以更深入地了解风险因素,并相应地调整其战略,从而确保复原力和可持续增长。最后,本文为南亚区域合作联盟(SAARC)地区关于疫情后对外国直接投资流入的影响的文献增添了价值。 原创性/价值 本文首次尝试追踪 COVID-19 对南亚区域合作联盟国家外国直接投资的影响及其决定因素。以前的研究大多是分析性的,即使是经验性的,也会因数据集的不可行性而将一些国家排除在外。本研究包括南亚区域合作联盟的所有成员国,所有变量的数据都完全可用。与南盟地区相关的实证研究仍然缺乏;本研究试图填补这一空白。
Unraveling the impact of COVID-19 pandemic on foreign direct investment and its determinants: empirical insights from SAARC countries
Purpose
This paper aims to unravel the impact of post-pandemic COVID-19 on foreign direct investment (FDI) and its determinants in the South Asian Association for Regional Cooperation (SAARC) Countries.
Design/methodology/approach
The study utilized four macroeconomic variables includes growth domestic product growth rate (GDPG), inflation rate (IR), exchange rate (ER), and unemployment rate (UR) to assess their impact on post-pandemic FDI, along with two variables control of corruption (CC) and political stability (PS) to measure the influence of good governance. Random effects, fixed effects, cluster random effects, cluster fixed effects and generalized method of moments (GMM) models were applied to a balanced panel dataset comprising eight SAARC countries over the period 2010–2021. To identify the random trend component in each variable, three renowned unit root tests (Levin, Lin and Chu LLC, Im-Pesaran-Shin IPS and Augmented Dickey-Fuller ADF) were used, and co-integration associations between variables were verified through the Pedroni and Kao approaches. Data analysis was performed using STATA 17 software.
Findings
The major findings revealed that the variables have an order of integration at the first difference I (1). Nonetheless, this situation suggests the possibility of a long-term link between the series. And the main results of the findings show that the coefficients of GDPG, CC and PS are positive and significant in the long run, showing that these variables boosted FDI inflows in the SAARC region as they are significantly positively linked to FDI inflows. Similarly, the coefficients of UR, IR, ER and COVID-19 are negative and significant.
Practical implications
By identifying the specific impacts of the post-pandemic FDI and its determinants, governments and policymakers can formulate targeted policies and measures to mitigate the adverse effects and enhance investment attractiveness. Additionally, investors can gain a deeper understanding of the risk factors and adapt their strategies accordingly, ensuring resilience and sustainable growth. Finally, this paper adds value to the literature on the post-pandemic impact on FDI inflows in the SAARC region.
Originality/value
This paper is the first attempt to trace the impact of COVID-19 on Foreign Direct Investment and its determinants in the SAARC Countries. Most of the previous studies were analytical in nature and, if empirical, excluded some countries due to the unviability of the data set. This study includes all the SAARC member countries, and all variables' data are completely available. There is still a lack of empirical studies related to the SAARC region; this study attempts to fill the gap.
期刊介绍:
The Journal of Economic Studies publishes high quality research findings and commentary on international developments in economics. The journal maintains a sound balance between economic theory and application at both the micro and the macro levels. Articles on economic issues between individual nations, emerging and evolving trading blocs are particularly welcomed. Contributors are encouraged to spell out the practical implications of their work for economists in government and industry