PUBLICATIONS

@article{Asongu_548,
author = {Singh Le Roux P S Asongu S. A.},
url = {http://link.springer.com/article/10.1007/s10551-016-3291-7},
doi = {10.1007/s10551-016-3291-7},
year = {2016},
date = {2016-08-13},
journal = {Journal of Business Ethics},
abstract = {This study examines the efficiency of tools for fighting software piracy in the conditional distributions of software piracy. Our paper examines software piracy in 99 countries over the period 1994–2010, using contemporary and non-contemporary quantile regressions. The intuition for modelling distributions contingent on existing levels of software piracy is that the effectiveness of tools against piracy may consistently decrease or increase simultaneously with the increasing levels of software piracy. Hence, blanket policies against software piracy are unlikely to succeed unless they are contingent on initial levels of software piracy and tailored differently across countries with low, medium and high levels of software piracy. Our findings indicate that GDP per capita, research and development expenditure, main intellectual property laws, multilateral treaties, bilateral treaties, World Intellectual Property Organisation treaties, money supply and respect for the rule of law have negative effects on software piracy. Equitably distributed wealth reduces software piracy, and the tendency not to indulge in software piracy because of equitably distributed wealth increases with the increasing software piracy levels. Hence, the negative degree of responsiveness of software piracy to changes in income levels is an increasing function of software piracy. Moreover, the relationships between policy instruments and software piracy display various patterns: U-shape, Kuznets-shape, S-shape and negative thresholds. A negative threshold represents negative estimates with the increasing negative magnitude throughout the conditional distributions of software piracy. We also discuss the policy implications of our study.},
keywords = {Intellectual property rights, Panel data, Software piracy},
pubstate = {published},
tppubtype = {article}
}

@article{Asongu_551,
author = {Jacinta Nwachukwu C Simplice A. Asongu},
url = {http://www.sciencedirect.com/science/article/pii/S0166497216300281},
doi = {10.1016/j.technovation.2016.04.002},
year = {2016},
date = {2016-07-15},
journal = {Technovation},
volume = {55-56},
number = {September-October},
pages = {1-13},
abstract = {This study assesses the synergy effects of governance in mobile phone penetration for inclusive human development in Sub-Saharan Africa with data for the period 2000–2012. It employs a battery of interactive estimation techniques, namely: Fixed effects, Generalised Method of Moments and Tobit regressions. Concepts of political (voice and accountability and political stability/no violence), economic (government effectiveness and regulation quality) and institutional (corruption-control and rule of law) governance are employed. The following findings are established. The previously apparent positive correlation between mobile phones and inclusive development can be extended to a positive effect. Although political governance is overwhelmingly not significant across estimated models, the average effects from economic governance are higher relative to institutional governance. On the interactions between mobile phones and governance variables, while none are apparent in Fixed effects regressions, there are significant synergy effects in Generalised Method of Moments and Tobit estimations, notably, from: regulation quality in the former and political stability, voice and accountability and rule of law in the latter. There is consistent evidence of convergence in inclusive human development. Policy implications are discussed.},
keywords = {Mobile phones; governance; inclusive human development},
pubstate = {published},
tppubtype = {article}
}

@article{Asongu_552,
author = {Asongu Simplice Efobi Uchenna},
url = {http://www.sciencedirect.com/science/article/pii/S2110701716300592},
doi = {doi:10.1016/j.inteco.2016.06.004},
year = {2016},
date = {2016-07-10},
journal = {International Economics},
abstract = {We assess the effects of terrorism on capital flight in a panel of 29 African countries for which data is available for the period 1987–2008. The terrorism dynamics entail domestic, transnational, unclear and total terrorisms. The empirical evidence is based on Generalised Method of Moments (GMM) with forward orthogonal deviations and Quantile regressions (QR). The following findings are established. First, for GMM, domestic, transnational, unclear and total terrorisms consistently increase capital flight. Second, for QR, with the exception of transnational terrorism for which a positive effect on capital flight is apparent in the 0.90th quintile, terrorism dynamics affect capital flight in low quintiles of the capital flight distribution. In other words, terrorism increases capital flight for the most part when initial levels of capital flight are low. Policy implications are discussed.},
keywords = {Africa; Capital flight; Foreign capital; Terrorism; Violence},
pubstate = {published},
tppubtype = {article}
}