Suchergebnisse

This study empirically verifies the effect of terrorism on financial development and how globalisation and governance modulate the incidence of terrorism on financial development in Africa. Two terrorism indicators are adopted for this study, namely, the: number of terrorism incidences and number of terrorism deaths. The methodology involves the pooled data technique running from 1996-2018 for 34 African countries. The results from the POLS, Driscoll-Kraay and the Newey-West standard error corrections show that terrorism is detrimental to financial development. From the interactive regressions, three major tendencies are apparent. First, terrorism dynamics consistently have an unconditional negative effect on financial development. Second, the globalization and government dynamics modulate the terrorism dynamics to broadly induce a negative net effect on financial development. Third, policy thresholds at which the modulating variables reverse the net effect on financial development from negative to positive are: (i) 71.61572 trade (% of GDP) and 13.97872 FDI (% of GDP) for the incidence of terror and (ii) 1.16201 trade (% of GDP) for terror deaths. The computed thresholds make economic sense and worthwhile in terms of policy implications because they are within statistical range. The result is robust to alternative measures of terrorism and financial development. Policy implications are discussed.

This study examines the effect of political implications of women on industrialisation in Africa. The results after controlling for cross-sectional dependency show that women political implication Granger causes industrialisation in Africa. Besides, the Fixed effect Driscoll/Kraay standard error estimator reveal that women political empowerment negatively affect industrialisation in Africa. These negative effects are nullified by high economic freedom and high female economic participation in the economy. The investment freedom thresholds require for the negative net effects to be nullified are 52.30469, 55.51639, 49.324895, and 55.594059 respectively for the women political empowerment index, women civil liberty, women political participation and women civil society participation interactions; while when women economic participation rates of 43.0777, 35.82, and 46.9 are attained for women political empowerment index, women civil liberty and women civil society participation respectively, complementary policies are needed for a positive effect on industrialisation. The study implores policy makers to improve on the economic freedom of the countries and to elaborate on policies that favour women economic inclusion, if policy towards political inclusion is foreseen in the industrialisation agenda.

The objective of this study is to examine the effect of political inclusion on democracy in Africa. The results of the analyses through the OLS, system GMM, IV-Tobit and IV-2SLS show that political inclusion enhances democracy in Africa. This result is robust across alternative specifications of political inclusion and democracy. Besides, the results equally stood when controlled for colonisation and internal conflicts. As policy implications, policy makers in Africa should enhance their fight for political inclusion as one of the gateways to promoting democracy. In this respect, national laws could be put in place, which impose gender quotas in political positions in every country. Equally, the African Union could sign a convention on these quotas for respective countries to ratify.

Achieving sustainable development has been the dream of every society across the globe especially sequel to the dawn of the industrial revolution. Thus, understanding the fundamental determinants of the socio-politico-economic development of every economy is of prime importance for investors, policymakers, development agencies and the society at large. It is in this light that this study sought to empirically examine the key factors that explain the socioeconomic development patterns in Africa. The Instrumental Variable Two Stage Least Squares (IV-2SLS) estimation technique is adopted for a panel of 38 African countries over the 1996-2019 period. The empirical findings reveal that financial development and human capital are development enhancing in Africa while external financial inflows are detrimental to economic development. In addition, when other specific macroeconomic and structural variables were introduced in the model, the results show that institutional quality through governance, natural resources abundance, and industrialisation all explain both the social and economic development dynamics. These results were specific to income group, export structures and level of development. Moreover, salient policy implications are discussed.

This study examines the impact of financial inclusion on household health expenditure in 17 African countries. It argues that financial inclusion is an active influencer of individuals' health demand and that Gross Domestic Product (GDP) per capita and voluntary health insurance schemes tend to be active transmission channels through which financial inclusion affects household health expenditures. The study used an instrumental variable (2SLS) technique for the analysis over a period from 2008 to 2017.Results from the study show that being financially included leads to increase household health expenditures. Suggestions for policy emerging from this study to governments in Africa are on the aspect of fostering financial inclusion to a wider population alongside enhancing the Universal Health Coverage (UHC) plan to ease the burden of out-of-pocket payments on households.

AbstractThis article investigates the impact of microstructure factors on asset pricing in some African stock markets. We use data on stocks listed on the Johannesburg Stock Exchange, the "Bourse Régionale des Valeurs Mobilières," and the Nigeria Stock Exchange, and we consider international portfolio management from 2000 to 2014. Generalized least square and fixed effect are estimation methods used to highlight the effect of microstructure variables on expected return. At the same time, panel smooth transition regression (PSTR) modeling is considered to identify the thresholds in this effect. The results show that liquidity and to a lesser extent the number of trading days are the most common significant microstructure variables for all the studied markets. However, other variables' effects on the return are specific to the considered stock markets. Furthermore, the PSTR estimator reveals that the impact of indicated factors on asset pricing is not linear because it produces a double threshold between return and microstructure.