{"title":"Economic growth, inflation and unemployment in Africa: an autoregressive distributed lag bounds testing approach, 1991–2019","authors":"Mario Gómez, Oluwasefunmi Eunice Irewole","doi":"10.1108/ajems-09-2022-0378","DOIUrl":null,"url":null,"abstract":"PurposeUnemployment is one of the major challenges facing most countries, including Africa as a continent. Seeking how to reduce unemployment, debt, inflation and increase gross domestic product (GDP), foreign direct investment (FDI) and gross capital formation in the continent has been an agenda of governments, policy makers and economists to. This study examines the relationship between economic growth, inflation, debt, FDI, gross capital formation, labor force, population and unemployment in Africa.Design/methodology/approachAn updated panel dataset of 29 African countries was selected from different regions from 1991 to 2019. These countries were selected based on their unemployment, population growth and inflation rates. The Pesaran cross-sectional dependence and panel unit root test (the Dickey–Fuller cross-sectional supplemented and the Im-Pesaran-Shin cross-sectional) were applied. Further, the panel Autoregressive Distributed Lag (ARDL) model (Bounds test) and pooled mean group (PMG) estimator were utilized in this work.FindingsThis shows that economic growth, debt, labor force and population have a positive relationship with unemployment in the long run. Therefore, an increase in these variables generates an increase in the selected African countries' unemployment growth. In contrast, inflation, FDI and gross capital formation have a negative relationship with unemployment in the long run, which implies that an increase in these variables reduces unemployment in the selected African countries.Research limitations/implicationsThis study has potential limitations because some data from the countries are not up to date and some years are missing from the data.Practical implicationsThis study contributes to understanding unemployment and Okun's law in the African economy. This study shows that an increase in economic growth leads to a rise in unemployment, while an increase in inflation leads to a decrease in unemployment.Originality/valueThis paper provides an insight into the major factors that increase and reduces unemployment for government and policy marker to take the adequate measure.","PeriodicalId":46031,"journal":{"name":"African Journal of Economic and Management Studies","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"African Journal of Economic and Management Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ajems-09-2022-0378","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 1
Abstract
PurposeUnemployment is one of the major challenges facing most countries, including Africa as a continent. Seeking how to reduce unemployment, debt, inflation and increase gross domestic product (GDP), foreign direct investment (FDI) and gross capital formation in the continent has been an agenda of governments, policy makers and economists to. This study examines the relationship between economic growth, inflation, debt, FDI, gross capital formation, labor force, population and unemployment in Africa.Design/methodology/approachAn updated panel dataset of 29 African countries was selected from different regions from 1991 to 2019. These countries were selected based on their unemployment, population growth and inflation rates. The Pesaran cross-sectional dependence and panel unit root test (the Dickey–Fuller cross-sectional supplemented and the Im-Pesaran-Shin cross-sectional) were applied. Further, the panel Autoregressive Distributed Lag (ARDL) model (Bounds test) and pooled mean group (PMG) estimator were utilized in this work.FindingsThis shows that economic growth, debt, labor force and population have a positive relationship with unemployment in the long run. Therefore, an increase in these variables generates an increase in the selected African countries' unemployment growth. In contrast, inflation, FDI and gross capital formation have a negative relationship with unemployment in the long run, which implies that an increase in these variables reduces unemployment in the selected African countries.Research limitations/implicationsThis study has potential limitations because some data from the countries are not up to date and some years are missing from the data.Practical implicationsThis study contributes to understanding unemployment and Okun's law in the African economy. This study shows that an increase in economic growth leads to a rise in unemployment, while an increase in inflation leads to a decrease in unemployment.Originality/valueThis paper provides an insight into the major factors that increase and reduces unemployment for government and policy marker to take the adequate measure.
期刊介绍:
African Journal of Economic and Management Studies (AJEMS) advances both theoretical and empirical research, informs policies and practices, and improves understanding of how economic and business decisions shape the lives of Africans. AJEMS is a multidisciplinary journal and welcomes papers from all the major disciplines in economics, business and management studies.