scholarly journals Deconstructing the Impact of Entrepreneurship on Income Inequality in Sub-Saharan Africa Countries

2020 ◽  
Vol 34 (1) ◽  
pp. 273-284
Author(s):  
Jimoh S. Ogede

Abstract The study examines the impacts of entrepreneurship on income inequality in a panel of 29 Sub-Saharan African countries spanning from 2004 to 2020. The paper employs a dynamic heterogeneous panel approach to differentiate between long-run and short-run impacts of entrepreneurship on income inequality. The findings establish a robust and direct nexus between entrepreneurial activities and income disparity. The results of the two entrepreneurial indicators are stable. Besides, the coefficient of the human capital is positive in the regression and statistically significant at a 5 percent significance level. The proxies for macroeconomic factors exhibit diverse signs and impact, which suggest a policy stimulus aimed at refining macroeconomic situations and also ignite prospects for households to increase their incomes.

Author(s):  
Husam Rjoub ◽  
Chuka Uzoma Ifediora ◽  
Jamiu Adetola Odugbesan ◽  
Benneth Chiemelie Iloka ◽  
João Xavier Rita ◽  
...  

Sub-Saharan African countries are known to be bedeviled with some challenges hindering the economic development. Meanwhile, some of these issues have not been exhaustively investigated in the context of the region. Thus, this study aimed at investigating the implications of government effectiveness, availability of natural resources, and security threats on the regions’ economic development. Yearly data, spanning from 2007 to 2020, was converted from low frequency (yearly) to high frequency (quarterly) and utilized. Data analysis was conducted using Dynamic heterogeneous panel level estimators (PMG and CS-ARDL). Findings show that while PMG estimator confirms a long-run causal effect of governance, natural resources, and security threats on economic development, only natural resources show a short-run causal effect with economic development, while the CS-ARDL (model 2) confirms the significance of all the variables both in the long and short-run. Moreover, the ECT coefficients for both models were found to be statistically significant at less than 1% significance level, which indicates that the systems return back to equilibrium in case of a shock that causes disequilibrium, and in addition, reveals a stable long-run cointegration among the variables in the model. Finally, this study suggests that the policy makers in SSA countries should place more emphasis on improving governance, managing security challenges, and effectively utilizing rents from the natural resources, as all these have severe implications for the economic development of the region if not addressed.


2021 ◽  
Vol 13 (4) ◽  
pp. 1780
Author(s):  
Chima M. Menyelim ◽  
Abiola A. Babajide ◽  
Alexander E. Omankhanlen ◽  
Benjamin I. Ehikioya

This study evaluates the relevance of inclusive financial access in moderating the effect of income inequality on economic growth in 48 countries in Sub-Saharan Africa (SSA) for the period 1995 to 2017. The findings using the Generalised Method of Moments (sys-GMM) technique show that inclusive financial access contributes to reducing inequality in the short run, contrary to the Kuznets curve. The result reveals a negative effect of financial access on the relationship between income inequality and economic growth. There is a positive net effect of inclusive financial access in moderating the impact of income inequality on economic growth. Given the need to achieve the Sustainable Development Targets in the sub-region, policymakers and other stakeholders of the economy must design policies and programmes that would enhance access to financial services as an essential mechanism to reduce income disparity and enhance sustainable economic growth.


2021 ◽  
Vol 11 (8) ◽  
pp. 72-83
Author(s):  
Guivis Zeufack Nkemgha ◽  
Aimée Viviane Mbita ◽  
Symphorin Engone Mve ◽  
Rodrigue Tchoffo

This paper contributes to the understanding of the other neglected effects of trade openness by analysing how it affects life quality in sub-Saharan African countries over the period 2000–2016. We used two trade openness indicators, namely: Squalli and Wilson index and the rate of trade. The empirical evidence is based on a pooled mean group approach. With two panels differentiated by their colonial origin, the following findings are established: the trade openness variable measured by Squalli and Wilson index has no effect on life quality in the both groups of countries in the short-run. However, it has a positive and significant effect on life quality in the both group of countries in the long-run. The use of the rate of trade confirms the results in the both groups of countries in the long-run. The contribution of trade openness to life quality is 3.27 and 5.19 times higher in the Former British Colonies than that recorded in the Former French Colonies of SSA respectively to the use of Squalli and Wilson index and the rate of trade. Overall, we find strong evidence supporting the view that trade openness promotes life quality in SSA countries in the long run.


2019 ◽  
Vol 11 (1) ◽  
pp. 147-168 ◽  
Author(s):  
Nihar Ranjan Jena ◽  
Narayan Sethi

Purpose The purpose of this paper is to empirically examine the effectiveness of foreign aid in improving economic growth prospects in the sub-Saharan Africa (SSA) region from 1993 to 2017. Design/methodology/approach A sample of 45 SSA countries for the period 1993–2017 is considered for this study. The study uses various econometrics tools such as Pedroni and Kao’s cointegration test, Johansen-Fisher Panel cointegration test, FMOLS and PDOLS in order to ascertain the long-run and short-run dynamics among the variables under consideration. Findings The empirical results find that long-run and short-run relationships exist among foreign aid, economic growth, investment, financial deepening, price stability and trade openness of the SSA economies. The authors also find unidirectional causality running from foreign aid to economic growth. The policymakers in these countries are well-advised to implement suitable policy measures to build on the growth momentum created by foreign aid inflows. Originality/value The study uses a dynamic macroeconomic modeling framework to assess the impact of aid flows on economic growth in the SSA region. Taking into account the diversity of level of growth experienced by the 45 countries in the region, the study uses an appropriate regression technique, i.e., panel dynamic OLS whose results are robust. The finding is also supported by the Granger-causality test and robust cointegration techniques.


2021 ◽  
pp. 002190962199085
Author(s):  
Huiping Dong ◽  
Yifei Cai ◽  
Xing Shi

This study aims to investigate whether globalisation promotes economic output in Sub-Saharan African countries in both the short run and the long run. Based on the latest version of the KOF globalisation index, we employ a newly developed bootstrap autoregressive distributed lag model to analyse this question. Compared to the traditional autoregressive distributed lag model, which ignores the degenerate cases, the new approach could avoid spurious cointegration. Results show that globalisation and economic output are positively correlated for most Sub-Saharan African countries, while the causal effect cannot be concluded except for a couple of exceptions. This finding implies that globalisation cannot guarantee an increase in economic output in the long run for most Sub-Saharan African countries. The Granger causality test shows that globalisation leads to economic output for Burundi, Gabon, Rwanda, Senegal and Zambia in the short run. Conversely, economic output leads to globalisation for Burkina Faso, Cameroon, Ghana, Kenya and Senegal. For Senegal, globalisation and economic output mutually determine each other and therefore form a positive spiral development path. Policymakers should be aware of the specific features of different economies in making sound globalisation policies to avoid the underlying adverse effects of global integration.


2020 ◽  
Vol 14 (1) ◽  
pp. 113-129
Author(s):  
S. O. AKINBODE ◽  
T. M. BOLARINWA ◽  
O. O. HASSAN

Economies of Sub-Saharan African (SSA) countries have been growing slowly in recent time. Economic growth is thought to affect inequality but not much is known about the nature of such relationship in SSA and there is no concordance among the few available. This paper examined the relationship between economic growth and inequality in the region using data from 1990 to 2017estimated with the Panel Autoregressive Distributed Lag (ARDL) Model and Granger Causality. Hausman’s test suggested the superiority of the Pooled Mean Group (PMG) over the Mean Group (MG) Model. The PMG results showed that economic growth had significant and negative effect on income inequality (proxy by GINI-coefficient) in the long run suggesting a state of the later part of the Kuznet curve. This is in addition to the negative effect in the short run which is contrary to the theory. Furthermore, the result of the Granger Causality test revealed evidence of unidirectional relationship running from economic growth to income inequality in the region. Therefore, the study recommended that governments of Sub-Saharan African countries should implement policies and programmes capable of sustaining and improving inclusive growth in order to avoid high income inequality in the region.      


2021 ◽  
Vol 6 (1) ◽  
pp. e003499
Author(s):  
Ryan G Wagner ◽  
Nigel J Crowther ◽  
Lisa K Micklesfield ◽  
Palwende Romauld Boua ◽  
Engelbert A Nonterah ◽  
...  

IntroductionCardiovascular disease (CVD) risk factors are increasing in sub-Saharan Africa. The impact of these risk factors on future CVD outcomes and burden is poorly understood. We examined the magnitude of modifiable risk factors, estimated future CVD risk and compared results between three commonly used 10-year CVD risk factor algorithms and their variants in four African countries.MethodsIn the Africa-Wits-INDEPTH partnership for Genomic studies (the AWI-Gen Study), 10 349 randomly sampled individuals aged 40–60 years from six sites participated in a survey, with blood pressure, blood glucose and lipid levels measured. Using these data, 10-year CVD risk estimates using Framingham, Globorisk and WHO-CVD and their office-based variants were generated. Differences in future CVD risk and results by algorithm are described using kappa and coefficients to examine agreement and correlations, respectively.ResultsThe 10-year CVD risk across all participants in all sites varied from 2.6% (95% CI: 1.6% to 4.1%) using the WHO-CVD lab algorithm to 6.5% (95% CI: 3.7% to 11.4%) using the Framingham office algorithm, with substantial differences in risk between sites. The highest risk was in South African settings (in urban Soweto: 8.9% (IQR: 5.3–15.3)). Agreement between algorithms was low to moderate (kappa from 0.03 to 0.55) and correlations ranged between 0.28 and 0.70. Depending on the algorithm used, those at high risk (defined as risk of 10-year CVD event >20%) who were under treatment for a modifiable risk factor ranged from 19.2% to 33.9%, with substantial variation by both sex and site.ConclusionThe African sites in this study are at different stages of an ongoing epidemiological transition as evidenced by both risk factor levels and estimated 10-year CVD risk. There is low correlation and disparate levels of population risk, predicted by different risk algorithms, within sites. Validating existing risk algorithms or designing context-specific 10-year CVD risk algorithms is essential for accurately defining population risk and targeting national policies and individual CVD treatment on the African continent.


PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245951
Author(s):  
Delfina F. Hlashwayo ◽  
Betuel Sigaúque ◽  
Emília V. Noormahomed ◽  
Sónia M. S. Afonso ◽  
Inácio M. Mandomando ◽  
...  

Introduction Campylobacter spp. are zoonotic bacteria that cause gastroenteritis in humans worldwide, whose main symptom is diarrhea. In certain cases, extra intestinal manifestations may occur, such as Guillain Barré syndrome. The bacteria cause severe diarrhea mostly in children and in immunocompromised individuals. This review aims to address the prevalence of Campylobacter spp. in humans in sub-Saharan Africa. It also aims to understand the impact of HIV in the prevalence, as well as to report data on antibiotic resistance and propose research priorities. Methods We followed PRISMA guidelines to find studies on the occurrence of Campylobacter spp. in humans in all countries from sub-Saharan Africa. Studies published between 2000 and 2020 were searched in PubMed, Cochrane Library, CINAHL, African Index Medicus, African Journals Online, Google Scholar and Science Direct. We have conducted a random-effect meta-analysis and calculated the proportion of resistant isolates to different antibiotics. Results and discussion We found 77 studies that described such occurrence in humans in 20 out of 53 sub-Saharan African countries. Campylobacter jejuni was the most prevalent species. Pooled prevalence was 9.9% (CI: 8.4%–11.6%). No major variations within the different sub-regions were found. Most studies reported Campylobacter spp. as the cause of diarrhea, mainly in children. Some studies reported the bacteria as a possible etiologic agent of acute flaccid paralysis and urinary tract infection. Campylobacter spp. presented a higher pooled prevalence in HIV infected patients, although not statistically significant. High proportions of resistant strains were reported for many antibiotics, including erythromycin and tetracycline. Conclusion Campylobacter spp. occur in sub-Saharan Africa, although information is scarce or inexistent for many countries. Research priorities should include investigation of the understudied species; extra intestinal manifestations; the impact of HIV infection and associated risk factors. Control strategies should be reinforced to contain the spread of this pathogen and drug resistance.


2018 ◽  
Vol 30 (3) ◽  
pp. 444-461 ◽  
Author(s):  
Caner Demir ◽  
Raif Cergibozan ◽  
Adem Gök

The aim of the study is to investigate the impact of income inequality on environmental quality in Turkey within the Environmental Kuznets Curve framework. In order to observe the short-run and long-run effects of income inequality on environmental quality, an autoregressive distributed lag bounds test on CO2 emission has been employed for the period 1963–2011 of Turkey. The results of the analysis reveal that there is a negative association between CO2 emission level and income inequality, which implies that increasing income inequality reduces environmental degradation in Turkey. Hence, a greater inequality in the society leads to less aggregate consumption in the economy due to lower propensity to emit in the richer households resulting in better environmental quality. The findings confirm an argument in the existing literature, which suggests that for developing countries, until a certain level of development, environmental degradation increases as income inequality in the society decreases. The results also confirm the Environmental Kuznets Curve hypothesis.


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