Globalisation and Female Economic Participation in Sub-Saharan Africa

Asongu, Simplice A.; Efobi, Uchenna; Tanankem, Belmondo; Osabuohien, Evans

doi:10.1007/s12147-019-09233-3

Cited by 56 publications

(55 citation statements)

References 66 publications

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“…Some of the articulated activities are small farming corporations, petty trading and domestic chores that are not associated with any financial rewards. This perspective of gender exclusion in the continent is consistent with less contemporary literature on the involvement of women in formal economic activities (Ellis, Blackden, Cutura, MacCulloch & Seebens, 2007;FAO, 2011;Tandon & Wegerif, 2013;Asongu, Efobi, Tanankem & Osabuohien, 2019;Osabuohien, Efobi, Herrmann & Gitau, 2019). Furthermore, according to the World Bank and International Labour Organisation (ILO), the low welfare experience of developing countries is partly due to gender exclusion which dampens the negative responsiveness of poverty to economic growth (World Bank, 2015;ILO, 2013).…”

Section: Introductionsupporting

confidence: 84%

Inequality and the Economic Participation of Women in Sub-Saharan Africa: An Empirical Investigation

Asongu

Odhiambo

2019

SSRN Journal

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This study investigates the effect of inequality on female employment in 42 countries in sub-Saharan Africa for the period 2004-2014. Three inequality indicators are used, namely, the: Gini coefficient, Atkinson index and Palma ratio. Two indicators of gender inclusion are also employed, namely: female employment and female unemployment rates. The empirical analysis is based on the Generalised Method of Moments (GMM).The following main findings are established. First, inequality increases female unemployment in regressions based on the Palma ratio. Second, from the robustness checks, inequality reduces female employment within the frameworks of the Gini coefficient and Palma ratio.

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Section: Introductionsupporting

confidence: 84%

Inequality and the Economic Participation of Women in Sub-Saharan Africa: An Empirical Investigation

Asongu

Odhiambo

2019

SSRN Journal

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“…The terms "gender inclusion", "gender economic participation", "female labour force participation", "female employment", "female economic participation" and "gender economic inclusion" are used interchangeably throughout the study. While the term gender can be broadly applied to represent a plethora of identities that do not necessarily correspond to entrenched ideas about female and male, the concept of gender in this study is binary in terms of female and male, in accordance with contemporary gender issues literature (Asongu, Efobi, Tanankem & Osabuohien, 2020).…”

Section: Concluding Implications and Future Research Directionsmentioning

confidence: 98%

Inclusive education for inclusive economic participation: the financial access channel

Asongu

Nnanna²,

Acha-Anyi

2020

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Purpose The purpose of this study is to assess how inclusive education affects inclusive economic participation through the financial access channel. Design/methodology/approach The focus is on 42 sub-Saharan African countries with data for the period 2004-2014. The empirical evidence is based on the generalised method of moments. Findings The following findings are established. First, inclusive secondary education moderates financial access to exert a positive net effect on female labour force participation. Second, inclusive “primary and secondary school education” and inclusive tertiary education modulate financial access for a negative net effect on female unemployment. Third, inclusive secondary education and inclusive tertiary education both moderate financial access for an overall positive net effect on female employment. To provide more gender macroeconomic management policy options, inclusive education thresholds for complementary policies are provided and discussed. Originality/value Policy implications are discussed in the light of challenges of economic development in the sub-region and sustainable development goals.

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“…Following the previous studies, this study also uses the FGLS method for checking the robustness of results [69,[71][72][73]. Following Asongu et al [74] and Bergh and Nilsson [75], this study also uses the fixed effect regressions that adjust for clustering over countries as a complementary analysis because it can correct within panel heteroscedasticity and autocorrelation. Table 4 reports the PCSE long-run estimation results concerning the impact of life expectancy for 31 countries over the period 2000-2017.…”

Section: Resultsmentioning

confidence: 99%

Determinants of Life Expectancy in Most Polluted Countries: Exploring the Effect of Environmental Degradation

Rahman

Rana

Khanam

2020

Preprint

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Background: Better understanding of the determinants of national life expectancy is crucial for economic development, as healthy nation is a prerequisite for a wealthy nation. Many socioeconomic, nutritional, lifestyle, genetic and environmental factors can influence a nation’s health and longevity. Environmental degradation is one of the critical determinants of life expectancy, which is still under researched as the literature suggests Objectives: This study aims to investigate the determinants of life expectancy in 31 world’s most polluted countries with particular attention on environmental degradation using the World Bank annual data and British Petroleum data over the period of 18 years (2000-2017), Methods: The empirical investigation is based on the model of Preston Curve where panel corrected standard errors (PCSE) and feasible general least square (FGLS) estimates are employed to explore the long run effects. Pairwise Granger causality test is also used to have short run causality among the variables of interest taking into account the cross sectional dependence test and other essential diagnostic tests. Results: The results confirm the existence of Preston Curve, implying the positive effect of economic growth on the life expectancy. Environmental degradation is found as a threat while health expenditure, clean water and improved sanitation affect the life expectancy positively in the sample countries. The causality test results reveal one-way causality from carbon emissions to life expectancy and bidirectional causalities between drinking water and life expectancy, and sanitation and life expectancy. Conclusion: Our results reveal that environmental degradation is a threat for having the improved life expectancy in our sample countries. Based on the results of this study, we recommend that: (1) policy marker of these countries should adopt policies that will reduce carbon emissions and thus will improve public health and productivity; (2) environment-friendly technologies and resources, such as renewable energy, should be used in production process; (3) healthcare expenditure on national budget should be increased; and (4) clean drinking water and basic sanitation facilities must be ensured for all people.

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Globalisation and Female Economic Participation in Sub-Saharan Africa

Cited by 56 publications

References 66 publications

Inequality and the Economic Participation of Women in Sub-Saharan Africa: An Empirical Investigation

Inequality and the Economic Participation of Women in Sub-Saharan Africa: An Empirical Investigation

Inclusive education for inclusive economic participation: the financial access channel

Determinants of Life Expectancy in Most Polluted Countries: Exploring the Effect of Environmental Degradation

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