This study investigates the effect information sharing has on financial sector development JEL Classification: G20; G29; L96; O40; O55

This study assesses if increasing information and communication technology (ICT) enhances inclusive human development in a sample of 49 countries in Sub-Saharan Africa for the period 2000-2012. The empirical evidence present in this study, is based on instrumental variable Tobit regressions, in order to account for simultaneity and the limited range in the dependent variable. In the interest of increasing room for policy implications and controlling for the unobserved heterogeneity, the analysis is decomposed into the fundamental characteristics that human development based on: income levels, legal origins, religious dominations, political stability, landlockedness and resource-wealth. Our findings show that policies designed to boost ICT (mobile phone, internet, telephone) penetration will increase inclusive development in the post-2015 sustainable development agenda. The degree of positive responsiveness of inclusive development to ICT varies across fundamental characteristics of human development and ICT dynamics. The study has substantial policy relevance because the adoption and/or penetration rate of ICT can be influenced by policy to achieve inclusive development outcomes. Further policy implications are also discussed.

This study complements existing literature by investigating how the advancement in information and communication technology affects the formal economic participation of women. The focus is on 48 African countries for the period 1990‐2014. The empirical evidence is based on ordinary least squares, fixed effects and the generalized method of moments regressions. The results show that improving communication technology increases female economic participation with the following consistent order of increasing magnitude: mobile phone penetration, internet penetration and fixed broadband subscriptions. The findings are robust to the control for heterogeneities across countries. Policy implications are discussed in the paper.

Using Kauffman, Kraay, and Mastruzzi governance indicators, this article analyzes the impact of formal institutions on the knowledge economy-by assessing how the enforcement

The study assesses the role of financial development on income inequality in a panel of 48 African countries for the period 1996 to 2014. Financial development is defined in terms of depth (money supply and liquid liabilities), efficiency (from banking and financial system perspectives), activity (at banking and financial system levels) and stability while, three indicators of inequality are used, namely, the: Gini coefficient, Atkinson index and Palma ratio. The empirical evidence is based on Generalised Method of Moments. When financial sector development indicators are used exclusively as strictly exogenous variables in the identification process, it is broadly established that with the exception of financial stability, access to credit (or financial activity) and intermediation efficiency have favourable income redistributive effects. The findings are robust to the: control for unobserved heterogeneity in terms of time effects and inclusion of time invariant variables as strictly exogenous variables in the identification process. The findings are also robust to the Kuznets hypothesis: a humped shaped nexus between increasing GDP per capita and inequality. Policy implications are discussed.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractHow do government policies and institutions affect stock market performance? As stock markets grow broader and deeper in African countries, the question becomes more critical.Government quality dynamics of corruption-control, government-effectiveness, political-stability or no violence, voice & accountability, regulation quality and rule of law are instrumented with income-levels, religious-dominations, press-freedom degrees and legal-origins to account for stock market performance dynamics of capitalization, value traded, turnover and number of listed companies. The results demonstrate a significant positive association between stock market performance measures and the quality of government institutions. These findings suggest countries with better developed government institutions would favor stock markets with higher market capitalization, better turnover ratios, higher value in shares traded and greater number of listed companies.

The paper examines whether the Arab Spring phenomenon was predictable by complete elimination in the dispersion of core demands for better governance, more jobs and stable consumer prices. A methodological innovation of the Generalized Methods of Moments is employed to assess the feasibility and timing of the revolution. The empirical evidence reveals that from a projection date of 2007, the Arab Spring was foreseeable between 2011 and 2012. The paper contributes at the same time to the empirics of predicting revolutions and the scarce literature on modeling the future of socio-economic events. Caveats and cautions are discussed.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu finding for developing countries may not be relevant for Africa. Terms of use: Documents in EconStor mayJEL Classification: B20; F35; F50; O10; O55