Purpose: West Africa represents a very good case of a sub-region currently plagued with the problem of food insecurity. Traditional theories have attributed the increasing food insecurity in the region to problems of poor governance, corruption and climate change. In view of the persistent and increasing nature of armed conflict in the sub-region, the purpose of this paper is to examine the effect of increasing armed conflict on food security in Economic Community of West African States (ECOWAS) member countries. Design/methodology/approach: The study utilized the dynamic generalized method of moments (GMM) to investigate the effect of conflict intensity on food security in the 14 member states of the ECOWAS using annualized panel data from 2005 to 2015. Findings: The findings reveal that armed conflict is a significant predictor of food security in West Africa. Research limitations/implications: The findings of the study bring to fore, the urgent need to rethink global initiative for combating food insecurity. The effort must also identify the causes of armed conflicts and design sound strategies for de-escalating the armed conflicts. Resolving the escalating armed conflict entails developing a conflict resolution framework that is extremely sensitive to the causes of conflict in Africa and adopting localized ex ante institutional diagnostics that would help in understanding the nature of the conflicts. Originality/value: Traditional theory perceives climate change, social injustices, property right, food insecurity, religious extremism and bad governance as the predictors of armed conflicts. In this study, the authors departed from the traditional theory by demonstrating that the nature and trend of armed conflict could also pose a serious threat to food security.

This paper examines the interaction between health expenditure and health outcomes with due consideration for government effectiveness across developing African economies. The rich data for this study draw from forty-five Sub-Saharan African (SSA) countries covering the period 1960 to 2022. The analysis follows a country-specific comparative manner using the Autoregressive Distributed Lag (ARDL) model as the major estimation technique. The results indicate that poor health outcomes are not due to inadequate budgetary allocations alone. Specifically, this study found a cointegrating relationship and strong adjustment of health outcomes deriving from the shocks and dynamics of not just health expenditures, but also government effectiveness. It is therefore recommended that strong institutions and safety nets be created to guard against corruption and leakages that derail the beneficial impact of public health spending. Also, government expenditures should be focused more on cottage and primary health dimensions to better mitigate adverse health conditions in SSA countries.

Purpose: The purpose of this study is to investigate the energy–growth linkage in sub-Saharan Africa (SSA), with emphasis on real sectors’ contribution to aggregate growth using dynamic panel estimation techniques that are practically and conceptually superior to the static models. Design/methodology/approach: Dynamic panel econometric techniques pooled mean group, mean group and dynamic fixed effect were used to investigate the linkage among energy consumption, real sector value added and economic growth from 1967 to 2016 in 48 SSA countries. Findings: A strong empirical evidence in favor of energy dependence and growth hypothesis in the investigated SSA countries was found. The finding that real sector value added and overall growth rate adjust reasonably to the shocks and dynamics of the energy consumption variables makes energy consumption an enabler for growth. This indicates that well thought-out and implemented energy development policy will not only increase energy consumption but also elicit multi-sectoral growth while addressing the obvious energy deficiency in the SSA region. Research limitations/implications: It is also important to note the policy implications of the high adjustment profiles indicated by the error correction representations. All the speeds of adjustment of the three models denominated in time are slightly above a year and are all within predictable limits (they fall below unity or 100%). We found that when agriculture value added, manufacturing value added and overall economic growth rate in our SSA panel estimation exceed equilibrium levels as a result of deviations arising from energy related variables, downward adjustments at 66%, 62% and 78% per year, respectively, take place. Practical implications: The study indicates that well thought-out and implemented energy development policy will not only increase energy consumption but also elicit multi-sectoral growth while addressing the obvious energy deficiency in the SSA region. Social implications: Much as this study has made some addition to the literature on energy-growth nexus in the SSA region, which undoubtedly is an unveiling of economic forces in a collection of developing and energy deficient economies, it will be of great research significance if the form and style of this study is adopted for other economic blocs in the shapes and sizes of the SSA region. Originality/value: This study ensured currency of data, novelty of approach and disaggregated energy consumption into emerging sources, traditional sources and geographical access.