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In this paper, we develop a new index labelled the African Women Vulnerability index (AWVI) with a focus on rural women using the Round 7 Afrobarometer Survey. The AWVI comprises 59 indicators in six dimensions namely: safety, empowerment, health, education, economic prosperity and digitalisation. Our findings show that: (i) Botswana performs best while women in Guinea and Sudan are the most vulnerable. Indeed, Mauritius appears as a good example in some dimensions such as health and digitalisation. (ii) Except for the dimension digitalisation, rural women's vulnerabilities in other dimensions are very close to those at the national level. (iii) National vulnerability trends strongly explain rural women's vulnerability especially for the economic, empowerment and health dimensions.

This paper measures the macroeconomic impact of recent political crisis, protest and uprisings in Africa with the generalized synthetic control method and evaluates the role played by natural resource dependence on the modulation of the impact. We find that political crisis, protests and uprisings have a significant and negative impact on economic growth while the impact is positive on investment and price level. For economic growth, the deviation of the actual series from the counterfactual is negative, instantaneous, persistent and highly significant; indicating non-negligible costs of the shock. Indeed, dependence on natural resources amplifies the negative effect of political crisis, protests and uprisings on GDP. Finally, the more the treated country depends on natural resources, the more it becomes resilient from the investment losses caused by political crisis.

In this paper, we revisit the relationship between governance and human development in Africa during the period 2010-2019 taking into account the existence of spatial dependence and controlling the endogeneity problem through a Generalized Spatial Two Stage Least Squares (2SLS). The exploratory spatial data analysis reveals the existence of spatial dependence of human development and governance quality. Our empirical findings support that in Africa, "good fences make good neighbours" or proximity matters in the distribution of human development. Implications are discussed.

This study evaluates the economic impact of severe natural disasters in Africa using the generalized synthetic control method. In other words, it assesses how gross domestic product (GDP) would have been affected if severe natural disasters did not occur. Moreover, it explores the determinants of the destructiveness of the impact, focusing on the role played by capital. We find that severe natural disasters induce a significant and continuous reduction of GDP many years after the event. Indeed, economic losses caused by disasters depend on the level of capital (human capital, employment and capital stock) and aspects of governance quality (political stability and absence of violence). In other words, negative synergies are apparent because while capital stock, employment and human capital unconditionally reduce the macroeconomic impact of natural disasters, the corresponding conditional or interactive effects with political stability are also negative. Policy implications are discussed.

The study provides thresholds of income inequality that if exceeded will nullify the positive effect of governance dynamics on gender-inclusive education in 42 countries in sub-Saharan Africa for the period 2004-2014. The Generalised Method of Moments is used as an estimation strategy. The following findings are established. First, the unconditional effects of governance dynamics on inclusive education are consistently positive whereas the corresponding conditional effects from the interaction between inequality and governance dynamics are consistently negative. Second, the levels of inequality that completely crowdout the positive incidence of governance on inclusive "primary and secondary education" are: 0.587 for the rule of law and 0.565 for corruption-control. Third, the levels of inequality that completely dampen the positive incidence of governance on inclusive "secondary education" are: 0.601 for "voice & accountability" and 0.700 for regulation quality. Fourth, for tertiary education, inequality thresholds are respectively 0.568 for political stability and 0.562 for corruption-control. The main policy implication is that for governance dynamics to promote inclusive education in the sampled countries, income inequality levels should be kept within the established thresholds. Other implications are discussed in the light of Sustainable Development Goals.

This exploratory study aims to assess Africa's lagging position in global heath in relation to some health care infrastructure before critically examining the situation of Africa in the light of pressing Covid-19 healthcare infrastructural needs in terms of number of hospital beds, intensive care units (ICU) beds and ventilators per 100 000 people. A comparative analysis is provided to showcase which regions are leading in the health facilities in the world in general and Africa in particular as well as countries that are lagging in the attendant healthcare facilities. Analytical insights are provided to illustrate that the Covid-19 pandemic has revealed how Africa cannot reach most Sustainable Development Goals (SDGs), especially SDG-3 on health and wellbeing. Moreover, corresponding inferences suggest that the continent is unprepared for future pandemics in terms of health facilities.

This study assesses the incidence of the Covid-19 pandemic on poverty levels in 50 African countries by employing the PovcalNet computational tool for poverty monitoring. The empirical evidence is based on: (i) Pre Covid-19 macroeconomic projections of October 2019 and revised macroeconomic projections of April 2020 and (ii) three poverty thresholds, notably, US$1.90, US$3.20, and US$5.50 per day for the extreme, middle and higher poverty lines. The following main findings are established. First, the extreme poverty line of US$1.90 per day has increased by US$0.1 per day while the middle poverty line and the higher line have increased by US0.19$ and US0.32$, respectively. Second, the poverty headcount has increased to 35.85% for the US1.90$ poverty line, 57.55% for the US3.20$ per day poverty line and 76.42% for the higher poverty line (US5.5$ per day). Third, the corresponding additional percentage points in poverty headcount ratio are: (i) an increase of 2.09% for the poverty thresholds of US1.90$ per day and US3.2$ per day, corresponding to 28, 140, 345 and 26, 418, 200 million, respectively of the new poor in absolute terms and (ii) a boost of 1.78% for the higher poverty line of US5.5$ per day, corresponding to 19, 062, 643 million of the new poor. Fourth, country-specific tendencies are also provided for more targeted policy implications.

This study improves the African Regional Integration Index (ARII) proposed by the African Union, the African Development Bank and the United Nations Economic Commission for Africa by providing a theoretical framework and addressing shortcomings related to weighting and aggregation of the indicator. This paper measures monetary integration in the eight African Regional Economic Communities (RECs) by constructing an Index of African Monetary Integration (IAMI). It proposes an Optimal Currency Area as theoretical framework and uses a panel approach to appreciate the dynamics of the index over different periods of time. The findings show that: (i) inflation and finance (trade and mobility) present the highest (lowest) score while ECOWAS is (EAC and IGAD are) the highest (least) performing. (ii) Surprisingly, in most RECs, the highest contributors to wealth creation are not the top performers in regional monetary integration. (iii) The RECs in Africa are characterized by a stable monetary integration which is different from the gradual process usually observed in monetary integration because with the exception of the EAC and UMA, the dynamics of IAMI show a steady trend in the overall index across time. Policy implications are discussed.

Objective To examine the enabling and constraining factors that influence African social scientists involvement in malaria control. Methods Convenience and snowball sampling was used to identify participants. Data collection was conducted in two phases: a mailed survey was followed by in-depth phone interviews with selected individuals chosen from the survey. Findings Most participants did not necessarily seek malaria as a career path. Having a mentor who provided research and training opportunities, and developing strong technical skills in malaria control and grant or proposal writing facilitated career opportunities in malaria. A paucity of jobs and funding and inadequate technical skills in malaria limited the type and number of opportunities available to social scientists in malaria control. Conclusion Understanding the factors that influence job satisfaction, recruitment and retention in malaria control is necessary for better integration of social scientists into malaria control. However, given the wide array of skills that social scientists have and the variety of deadly diseases competing for attention in Sub Saharan Africa, it might be more cost effective to employ social scientists to work broadly on issues common to communicable diseases in general rather than solely on malaria.