{"title":"Dynamics of Money Market Interest Rates in Ghana: Time‐Frequency Analysis of Volatility Spillovers","authors":"N. Akosah, I. Alagidede, E. Schaling","doi":"10.1111/SAJE.12287","DOIUrl":"https://doi.org/10.1111/SAJE.12287","url":null,"abstract":"","PeriodicalId":46929,"journal":{"name":"SOUTH AFRICAN JOURNAL OF ECONOMICS","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/SAJE.12287","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49201209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ethnic Diversity and Local Economies","authors":"Yonatan Dinku, D. Regasa","doi":"10.1111/SAJE.12286","DOIUrl":"https://doi.org/10.1111/SAJE.12286","url":null,"abstract":"","PeriodicalId":46929,"journal":{"name":"SOUTH AFRICAN JOURNAL OF ECONOMICS","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/SAJE.12286","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42389452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Convergence Triggers in Africa: Evidence from Convergence Clubs and Panel Models","authors":"Aweng Peter Majok Garang, Hatice Erkekoglu","doi":"10.1111/SAJE.12282","DOIUrl":"https://doi.org/10.1111/SAJE.12282","url":null,"abstract":"","PeriodicalId":46929,"journal":{"name":"SOUTH AFRICAN JOURNAL OF ECONOMICS","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/SAJE.12282","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46595577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The paper compares the economic progress of two countries, South Africa and China, in relation to the Lewis model. These economies are chosen because they have interesting similarities and also interesting differences. At the start of economic reform in China and with the advent of democracy in South Africa, both countries had surplus labour: they were at the first, labour-surplus, stage of the Lewis model. It is shown that, since then, South Africa has continued to experience surplus labour: the unemployment rate has risen. By contrast, China’s labour market is shown to have tightened, and there is evidence that China has entered the second, labour-scarce, stage of the Lewis model. The difference lies in their growth rates. There are sections explaining why the South African economy has grown slowly and why the Chinese economy has grown rapidly, in relation to the growth of their labour forces. The Lewis model provides an enlightening framework for explaining how widely the fruits of economic development can be shared.
{"title":"A Tale of Two Countries and Two Stages: South Africa, China and the Lewis Model","authors":"J. Knight","doi":"10.1111/SAJE.12280","DOIUrl":"https://doi.org/10.1111/SAJE.12280","url":null,"abstract":"The paper compares the economic progress of two countries, South Africa and China, in relation to the Lewis model. These economies are chosen because they have interesting similarities and also interesting differences. At the start of economic reform in China and with the advent of democracy in South Africa, both countries had surplus labour: they were at the first, labour-surplus, stage of the Lewis model. It is shown that, since then, South Africa has continued to experience surplus labour: the unemployment rate has risen. By contrast, China’s labour market is shown to have tightened, and there is evidence that China has entered the second, labour-scarce, stage of the Lewis model. The difference lies in their growth rates. There are sections explaining why the South African economy has grown slowly and why the Chinese economy has grown rapidly, in relation to the growth of their labour forces. The Lewis model provides an enlightening framework for explaining how widely the fruits of economic development can be shared.","PeriodicalId":46929,"journal":{"name":"SOUTH AFRICAN JOURNAL OF ECONOMICS","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/SAJE.12280","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43884657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Description of Predatory Publishing in South African Economics Departments","authors":"Andrew Kerr, P. Jager","doi":"10.1111/SAJE.12278","DOIUrl":"https://doi.org/10.1111/SAJE.12278","url":null,"abstract":"","PeriodicalId":46929,"journal":{"name":"SOUTH AFRICAN JOURNAL OF ECONOMICS","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/SAJE.12278","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44212638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Ujunwa, C. Okoyeuzu, Nelson N. Nkwor, A. Ujunwa
{"title":"Potential Impact of Climate Change and Armed Conflict on Inequality in Sub‐Saharan Africa","authors":"A. Ujunwa, C. Okoyeuzu, Nelson N. Nkwor, A. Ujunwa","doi":"10.1111/SAJE.12271","DOIUrl":"https://doi.org/10.1111/SAJE.12271","url":null,"abstract":"","PeriodicalId":46929,"journal":{"name":"SOUTH AFRICAN JOURNAL OF ECONOMICS","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/SAJE.12271","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47391271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract In an attempt to minimise the negative economic impacts of COVID-19 on vulnerable households the South African government allocated R50 billion in additional social assistance spending The cash transfer package included a temporary increase in existing grants and introduced a new ?Covid grant ? We assess the chosen package and compare it with an initial proposal to increase the Child Support Grant (CSG) Coverage, cost and welfare effects are calculated to measure the relative impacts in each case We find that while a significant increase in the CSG delivers resources most progressively, the addition of the COVID-19 grant may potentially reach a much larger group of otherwise uncovered, vulnerable individuals Critically, this extended coverage comes at a cost to the poorest households, via additional transfers to the upper income deciles However, we identify several categories of vulnerable household groups which suggests that the workers most negatively affected by the pandemic are not necessarily those in the poorest households The paper emphasises that social assistance to mitigate the consequences of COVID-19 should not be viewed necessarily as a standard poverty reduction exercise, but rather as an attempt to mitigate COVID-19-related income shocks for the vulnerable who were most negatively affected by the pandemic
{"title":"Social Assistance Amidst the COVID‐19 Epidemic in South Africa: A Policy Assessment","authors":"H. Bhorat, M. Oosthuizen, Benjamin Stanwix","doi":"10.1111/SAJE.12277","DOIUrl":"https://doi.org/10.1111/SAJE.12277","url":null,"abstract":"Abstract In an attempt to minimise the negative economic impacts of COVID-19 on vulnerable households the South African government allocated R50 billion in additional social assistance spending The cash transfer package included a temporary increase in existing grants and introduced a new ?Covid grant ? We assess the chosen package and compare it with an initial proposal to increase the Child Support Grant (CSG) Coverage, cost and welfare effects are calculated to measure the relative impacts in each case We find that while a significant increase in the CSG delivers resources most progressively, the addition of the COVID-19 grant may potentially reach a much larger group of otherwise uncovered, vulnerable individuals Critically, this extended coverage comes at a cost to the poorest households, via additional transfers to the upper income deciles However, we identify several categories of vulnerable household groups which suggests that the workers most negatively affected by the pandemic are not necessarily those in the poorest households The paper emphasises that social assistance to mitigate the consequences of COVID-19 should not be viewed necessarily as a standard poverty reduction exercise, but rather as an attempt to mitigate COVID-19-related income shocks for the vulnerable who were most negatively affected by the pandemic","PeriodicalId":46929,"journal":{"name":"SOUTH AFRICAN JOURNAL OF ECONOMICS","volume":"89 1","pages":"63-81"},"PeriodicalIF":1.3,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/SAJE.12277","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42520844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
One of the Sustainable Development Goals is to significantly reduce all forms of violence and related death rates everywhere. The economic development literature widely concurs that conflicts have adverse economic consequences that contribute to poverty, disinvestment, and lower human capital leading to widespread inequality and lower economic growth. As such, understanding the nature of conflict has been an important focus for political leaders, policymakers and researchers alike. However, the existing literature does not typically distinguish between the types of conflict, and empirical evidence relies on the assumption that effects are similar across the world. Using panel data analysis and a comprehensive disaggregated georeferenced conflict dataset from 1997 to 2016, we find significant evidence of heterogeneity in the predictors' effects on different types of conflicts in Africa.
{"title":"Conflict heterogeneity in Africa","authors":"Carolyn Chisadza, Matthew Clance","doi":"10.1111/saje.12297","DOIUrl":"https://doi.org/10.1111/saje.12297","url":null,"abstract":"One of the Sustainable Development Goals is to significantly reduce all forms of violence and related death rates everywhere. The economic development literature widely concurs that conflicts have adverse economic consequences that contribute to poverty, disinvestment, and lower human capital leading to widespread inequality and lower economic growth. As such, understanding the nature of conflict has been an important focus for political leaders, policymakers and researchers alike. However, the existing literature does not typically distinguish between the types of conflict, and empirical evidence relies on the assumption that effects are similar across the world. Using panel data analysis and a comprehensive disaggregated georeferenced conflict dataset from 1997 to 2016, we find significant evidence of heterogeneity in the predictors' effects on different types of conflicts in Africa.","PeriodicalId":46929,"journal":{"name":"SOUTH AFRICAN JOURNAL OF ECONOMICS","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/saje.12297","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63729608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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