Pub Date : 2024-02-08DOI: 10.1108/jeas-06-2023-0142
Sandeep Kumar
PurposeThis paper presents a cross-sectional study that assessed the impact of the COVID-19 pandemic on rural migrants in Bihar. The primary objective of this study was to evaluate the overall impact of the pandemic on migrants and examine their livelihoods, with a focus on identifying measures that can mitigate the economic consequences.Design/methodology/approachThis study used a telephonic survey to collect primary data from 419 respondents. Descriptive statistics were used to analyze the data, and three indices were constructed: fear and worries, trust and prevention.FindingsThe findings provide insights into the psychological well-being of migrant workers and highlight the challenges they face in sustaining their livelihoods amidst the pandemic. This study concludes by suggesting potential measures to alleviate the economic impact and enhance the resilience of this vulnerable population.Research limitations/implicationsThis study may be limited by the representativeness of the sample as well as the potential for social desirability bias. The study may also be limited by the reliability and validity of the measures used to capture the fear and worries, trust and prevention indices.Originality/valueNumerous studies have examined the impact of the COVID-19 pandemic on rural migrants. However, there are limited studies that estimate the impact of the proposed study based on the challenges faced by rural migrants in Bihar during the pandemic.
{"title":"Impact of COVID-19 pandemic on rural migrants of Bihar: a cross-sectional study","authors":"Sandeep Kumar","doi":"10.1108/jeas-06-2023-0142","DOIUrl":"https://doi.org/10.1108/jeas-06-2023-0142","url":null,"abstract":"PurposeThis paper presents a cross-sectional study that assessed the impact of the COVID-19 pandemic on rural migrants in Bihar. The primary objective of this study was to evaluate the overall impact of the pandemic on migrants and examine their livelihoods, with a focus on identifying measures that can mitigate the economic consequences.Design/methodology/approachThis study used a telephonic survey to collect primary data from 419 respondents. Descriptive statistics were used to analyze the data, and three indices were constructed: fear and worries, trust and prevention.FindingsThe findings provide insights into the psychological well-being of migrant workers and highlight the challenges they face in sustaining their livelihoods amidst the pandemic. This study concludes by suggesting potential measures to alleviate the economic impact and enhance the resilience of this vulnerable population.Research limitations/implicationsThis study may be limited by the representativeness of the sample as well as the potential for social desirability bias. The study may also be limited by the reliability and validity of the measures used to capture the fear and worries, trust and prevention indices.Originality/valueNumerous studies have examined the impact of the COVID-19 pandemic on rural migrants. However, there are limited studies that estimate the impact of the proposed study based on the challenges faced by rural migrants in Bihar during the pandemic.","PeriodicalId":508444,"journal":{"name":"Journal of Economic and Administrative Sciences","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139854399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PurposeThis study empirically examines the impact of some domestic as well as global factors such as trade openness (TO), money supply (MS), exchange rate, global oil prices (GOPs) and interest rate (IR) on inflation.Design/methodology/approachThis study deploys a quantitative method considering 30 years of data (1991–2020) from four South Asian countries, namely, Sri Lanka, Pakistan, Bangladesh and India. To determine the potential impact of different factors on inflation, this study applies the panel analysis of the system generalized method of moments (SGMM).FindingsThis study empirically finds that TO, MS, exchange rate and GOPs have a positive impact on inflation, while IR and the structural adjustment program (SAP) have a negative impact on inflation. Out of the various determinants considered in this study, TO, exchange rate and the SAP are insignificant, while the rest of the variables are significant and consistent with previous studies.Practical implicationsThis study informs policymakers about maintaining price stability and fostering economic growth in South Asian nations. It breaks new ground as the first empirical examination of the International Monetary Fund (IMF)’s SAP impact on inflation in the region.Originality/valueThis study tries to find out whether the SAP of the IMF is responsible for inflation in South Asian countries. It gives renewed attention to the causality of inflation from the perspective of countries receiving loans from donors, especially the IMF.
目的 本研究以实证研究的方式探讨了贸易开放度（TO）、货币供应量（MS）、汇率、全球石油价格（GOPs）和利率（IR）等国内和全球因素对通货膨胀的影响。为了确定不同因素对通货膨胀的潜在影响，本研究采用了系统广义矩法（SGMM）的面板分析方法。研究结果本研究通过实证研究发现，TO、MS、汇率和 GOPs 对通货膨胀有积极影响，而 IR 和结构调整计划（SAP）对通货膨胀有消极影响。在本研究考虑的各种决定因素中，通货膨胀率、汇率和结构调整方案不显著，而其他变量显著，且与之前的研究一致。 本研究为政策制定者提供了有关在南亚国家保持价格稳定和促进经济增长的信息。作为国际货币基金组织（IMF）结构调整方案对该地区通货膨胀影响的首次实证研究，本研究开辟了新的领域。它从接受捐赠国（尤其是国际货币基金组织）贷款的国家的角度重新关注了通货膨胀的因果关系。
{"title":"Global and domestic drivers of inflation: evidence from select South Asian countries","authors":"Muhammad Sajid, Amanat Ali, Sareer Ahmad, Nikhil Chandra Shil, Izaz Arshad","doi":"10.1108/jeas-05-2023-0110","DOIUrl":"https://doi.org/10.1108/jeas-05-2023-0110","url":null,"abstract":"PurposeThis study empirically examines the impact of some domestic as well as global factors such as trade openness (TO), money supply (MS), exchange rate, global oil prices (GOPs) and interest rate (IR) on inflation.Design/methodology/approachThis study deploys a quantitative method considering 30 years of data (1991–2020) from four South Asian countries, namely, Sri Lanka, Pakistan, Bangladesh and India. To determine the potential impact of different factors on inflation, this study applies the panel analysis of the system generalized method of moments (SGMM).FindingsThis study empirically finds that TO, MS, exchange rate and GOPs have a positive impact on inflation, while IR and the structural adjustment program (SAP) have a negative impact on inflation. Out of the various determinants considered in this study, TO, exchange rate and the SAP are insignificant, while the rest of the variables are significant and consistent with previous studies.Practical implicationsThis study informs policymakers about maintaining price stability and fostering economic growth in South Asian nations. It breaks new ground as the first empirical examination of the International Monetary Fund (IMF)’s SAP impact on inflation in the region.Originality/valueThis study tries to find out whether the SAP of the IMF is responsible for inflation in South Asian countries. It gives renewed attention to the causality of inflation from the perspective of countries receiving loans from donors, especially the IMF.","PeriodicalId":508444,"journal":{"name":"Journal of Economic and Administrative Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139865578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PurposeThis study empirically examines the impact of some domestic as well as global factors such as trade openness (TO), money supply (MS), exchange rate, global oil prices (GOPs) and interest rate (IR) on inflation.Design/methodology/approachThis study deploys a quantitative method considering 30 years of data (1991–2020) from four South Asian countries, namely, Sri Lanka, Pakistan, Bangladesh and India. To determine the potential impact of different factors on inflation, this study applies the panel analysis of the system generalized method of moments (SGMM).FindingsThis study empirically finds that TO, MS, exchange rate and GOPs have a positive impact on inflation, while IR and the structural adjustment program (SAP) have a negative impact on inflation. Out of the various determinants considered in this study, TO, exchange rate and the SAP are insignificant, while the rest of the variables are significant and consistent with previous studies.Practical implicationsThis study informs policymakers about maintaining price stability and fostering economic growth in South Asian nations. It breaks new ground as the first empirical examination of the International Monetary Fund (IMF)’s SAP impact on inflation in the region.Originality/valueThis study tries to find out whether the SAP of the IMF is responsible for inflation in South Asian countries. It gives renewed attention to the causality of inflation from the perspective of countries receiving loans from donors, especially the IMF.
目的 本研究以实证研究的方式探讨了贸易开放度（TO）、货币供应量（MS）、汇率、全球石油价格（GOPs）和利率（IR）等国内和全球因素对通货膨胀的影响。为了确定不同因素对通货膨胀的潜在影响，本研究采用了系统广义矩法（SGMM）的面板分析方法。研究结果本研究通过实证研究发现，TO、MS、汇率和 GOPs 对通货膨胀有积极影响，而 IR 和结构调整计划（SAP）对通货膨胀有消极影响。在本研究考虑的各种决定因素中，通货膨胀率、汇率和结构调整方案不显著，而其他变量显著，且与之前的研究一致。 本研究为政策制定者提供了有关在南亚国家保持价格稳定和促进经济增长的信息。作为国际货币基金组织（IMF）结构调整方案对该地区通货膨胀影响的首次实证研究，本研究开辟了新的领域。它从接受捐赠国（尤其是国际货币基金组织）贷款的国家的角度重新关注了通货膨胀的因果关系。
{"title":"Global and domestic drivers of inflation: evidence from select South Asian countries","authors":"Muhammad Sajid, Amanat Ali, Sareer Ahmad, Nikhil Chandra Shil, Izaz Arshad","doi":"10.1108/jeas-05-2023-0110","DOIUrl":"https://doi.org/10.1108/jeas-05-2023-0110","url":null,"abstract":"PurposeThis study empirically examines the impact of some domestic as well as global factors such as trade openness (TO), money supply (MS), exchange rate, global oil prices (GOPs) and interest rate (IR) on inflation.Design/methodology/approachThis study deploys a quantitative method considering 30 years of data (1991–2020) from four South Asian countries, namely, Sri Lanka, Pakistan, Bangladesh and India. To determine the potential impact of different factors on inflation, this study applies the panel analysis of the system generalized method of moments (SGMM).FindingsThis study empirically finds that TO, MS, exchange rate and GOPs have a positive impact on inflation, while IR and the structural adjustment program (SAP) have a negative impact on inflation. Out of the various determinants considered in this study, TO, exchange rate and the SAP are insignificant, while the rest of the variables are significant and consistent with previous studies.Practical implicationsThis study informs policymakers about maintaining price stability and fostering economic growth in South Asian nations. It breaks new ground as the first empirical examination of the International Monetary Fund (IMF)’s SAP impact on inflation in the region.Originality/valueThis study tries to find out whether the SAP of the IMF is responsible for inflation in South Asian countries. It gives renewed attention to the causality of inflation from the perspective of countries receiving loans from donors, especially the IMF.","PeriodicalId":508444,"journal":{"name":"Journal of Economic and Administrative Sciences","volume":"23 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139805508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-10DOI: 10.1108/jeas-08-2023-0212
Anam Ul Haq Ganie, Arif Mohd Khah, Masroor Ahmad
PurposeThe main purpose of this study is to investigate the agriculture-induced environmental Kuznets curve (EKC) hypothesis in South Asian economies (SAE).Design/methodology/approachThis study employs econometric techniques, including Westerlund cointegration tests, cross-sectional augmented distributive lag model (CS-ARDL) and Dumitrescu and Hurlin (DH) causality tests to investigate the relationship between renewable and non-renewable energy consumption, agriculture, economic growth, financial development and carbon emissions in SAE from 1990 to 2019.FindingsThe CS-ARDL test outcome supports the presence of the agriculture-induced EKC hypothesis in SAE. Additionally, through the application of the DH causality test, the study confirms a unidirectional causality running from renewable energy consumption (REC), fossil fuel consumption (FFC), economic growth (GDP) and squared economic growth (GDP2) to carbon dioxide (CO2) emissions.Research limitations/implicationsThis study proposes that future research should extend comparisons to worldwide intergovernmental bodies, use advanced econometric methodologies for accurate estimates, and investigate incorporating the service or primary sector into the EKC. Such multidimensional studies can inform various methods for mitigating global climate change and ensuring ecological sustainability.Originality/valueEnvironmental degradation has been extensively studied in different regions and countries, but SAE face significant constraints in addressing this issue, and comprehensive studies in this area are scarce. This research is pioneering as it is the first study to investigate the applicability of the agriculture-induced EKC in the South Asian region. By filling this gap in the current literature, the study provides valuable insights into major SAE and their environmental challenges.
{"title":"Investigating the agriculture-induced environmental Kuznets curve hypothesis in South Asian economies","authors":"Anam Ul Haq Ganie, Arif Mohd Khah, Masroor Ahmad","doi":"10.1108/jeas-08-2023-0212","DOIUrl":"https://doi.org/10.1108/jeas-08-2023-0212","url":null,"abstract":"PurposeThe main purpose of this study is to investigate the agriculture-induced environmental Kuznets curve (EKC) hypothesis in South Asian economies (SAE).Design/methodology/approachThis study employs econometric techniques, including Westerlund cointegration tests, cross-sectional augmented distributive lag model (CS-ARDL) and Dumitrescu and Hurlin (DH) causality tests to investigate the relationship between renewable and non-renewable energy consumption, agriculture, economic growth, financial development and carbon emissions in SAE from 1990 to 2019.FindingsThe CS-ARDL test outcome supports the presence of the agriculture-induced EKC hypothesis in SAE. Additionally, through the application of the DH causality test, the study confirms a unidirectional causality running from renewable energy consumption (REC), fossil fuel consumption (FFC), economic growth (GDP) and squared economic growth (GDP2) to carbon dioxide (CO2) emissions.Research limitations/implicationsThis study proposes that future research should extend comparisons to worldwide intergovernmental bodies, use advanced econometric methodologies for accurate estimates, and investigate incorporating the service or primary sector into the EKC. Such multidimensional studies can inform various methods for mitigating global climate change and ensuring ecological sustainability.Originality/valueEnvironmental degradation has been extensively studied in different regions and countries, but SAE face significant constraints in addressing this issue, and comprehensive studies in this area are scarce. This research is pioneering as it is the first study to investigate the applicability of the agriculture-induced EKC in the South Asian region. By filling this gap in the current literature, the study provides valuable insights into major SAE and their environmental challenges.","PeriodicalId":508444,"journal":{"name":"Journal of Economic and Administrative Sciences","volume":"9 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139438785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-09DOI: 10.1108/jeas-05-2023-0102
Zebran Khan, Ariba Khan, M. K. Nabi, Zeba Khanam
PurposeThe purpose of this study is to examine an integrated model, in which brand equity (BE) mediates the effects of social media usage (SMU) and electronic word of mouth (eWOM) on purchase intentions among Indian consumers of branded apparel.Design/methodology/approachAn online questionnaire was used to collect data from 317 Indian customers of branded apparel, and the data were analyzed using the partial least squares structural equation modeling (PLS-SEM) with the help of SmartPLS version 4.FindingsFirst, the results indicated that SMU, eWOM and BE significantly impact consumers purchase intention; at the same time, BE is influenced by SMU and eWOM. Second, results confirmed that BE partially mediates the effects of SMU and eWOM on the purchase intentions of consumers of apparel brands.Research limitations/implicationsThe study's dataset is limited in its generalizability as it is based on specific responses from Indian consumers of branded apparel via an online survey. The results of this study would help marketers and advertisers create customized advertising campaigns for the people who are most likely to buy their products. Marketers can also use social media to promote the uniqueness or point of difference (PoD) of their apparel brands.Originality/valueTo the best of the authors' knowledge, no study has been conducted on apparel brands in the Indian context that has tested an integrative model, in which BE mediates the effects of SMU and eWOM on the purchase intentions of customers of apparel brands.
{"title":"Demystifying the effect of social media usage and eWOM on purchase intention: the mediating role of brand equity","authors":"Zebran Khan, Ariba Khan, M. K. Nabi, Zeba Khanam","doi":"10.1108/jeas-05-2023-0102","DOIUrl":"https://doi.org/10.1108/jeas-05-2023-0102","url":null,"abstract":"PurposeThe purpose of this study is to examine an integrated model, in which brand equity (BE) mediates the effects of social media usage (SMU) and electronic word of mouth (eWOM) on purchase intentions among Indian consumers of branded apparel.Design/methodology/approachAn online questionnaire was used to collect data from 317 Indian customers of branded apparel, and the data were analyzed using the partial least squares structural equation modeling (PLS-SEM) with the help of SmartPLS version 4.FindingsFirst, the results indicated that SMU, eWOM and BE significantly impact consumers purchase intention; at the same time, BE is influenced by SMU and eWOM. Second, results confirmed that BE partially mediates the effects of SMU and eWOM on the purchase intentions of consumers of apparel brands.Research limitations/implicationsThe study's dataset is limited in its generalizability as it is based on specific responses from Indian consumers of branded apparel via an online survey. The results of this study would help marketers and advertisers create customized advertising campaigns for the people who are most likely to buy their products. Marketers can also use social media to promote the uniqueness or point of difference (PoD) of their apparel brands.Originality/valueTo the best of the authors' knowledge, no study has been conducted on apparel brands in the Indian context that has tested an integrative model, in which BE mediates the effects of SMU and eWOM on the purchase intentions of customers of apparel brands.","PeriodicalId":508444,"journal":{"name":"Journal of Economic and Administrative Sciences","volume":"21 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139443769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：