Search

This study investigates the impact of natural resources on wealth inequality as a first attempt on a panel of 45 developed and developing countries over the period 2000-2014. Using the Generalized Method of Moments, the results provide stong evidence that natural resources increase wealth inequality within a linear empirical framework. These results are robust to the use of alternative natural resources and wealth inequality measures. Additionnaly, a nonlinear analysis provides evidence of an inverted U shaped relationship between natural resources and wealth inequality. The net effect of enhancing natural resources on wealth inequality is positive and building on the corresponding conditional negative effect, the attendant natural resource thresholds for inclusive development are provided. It follows that while natural resources increase wealth inequality, some critical levels of natural resources are needed for natural resources to reduce wealth inequality.

The study assesses the role of governance in modulating the effect of oil wealth on wealth inequality in 45 countries in the world. The empirical evidence is based on Pooled Ordinary Least Squares and the Generalised Method of Moments. The findings show that oil rents unconditionally increase wealth inequality while govenance dyanmics (in terms of rule of law, corruption-control, government effectiveness, regulatory quality) moderate oil rents for an overall net negative effect on wealth inequality. Good governance thresholds at which the unconditional effect of oil rents on the wealth inequality changes from positive to negative are computed and discussed. It follows that while governance is a necessary condition for improving the redistributive effects of oil wealth, it becomes a sufficient condition for net positive improvements in wealth distribution only when some critical levels of good governance have been reached. Other policy implications are discussed.

Surprisingly, little is known about the cross-country effect of information and communication technology (ICT) on wealth inequality. At the same time, there is some tentative evidence suggesting that information and communication technology is positively correlated with income inequality. However, whether and how ICT affects wealth inequality is less explored, particularly because of the lack of reliable data on wealth inequality. This paper, therefore, fills this gap and contributes to this new literature by investigating the effect of ICT on wealth inequality in a sample of 45 developed and developing countries over the period 2000-2017. ICT is measured with six different indicators (including internet penetration, mobile penetration, ICT service exports, the ICT index, ICT quality, and ICT quantity), while wealth inequality is measured with three different indicators (comprising billionaire wealth to GDP, the Top 1% wealth share, and the Top 10% wealth share). The empirical analysis is based on the Generalised Method of Moments, and the results show that ICT increases wealth inequality. Furthermore, we show that democracy mitigates the increasing effect of ICT on wealth inequality. This result suggests that improving democracy in both developed and developing countries is an effective mechanism for mitigating the effects of ICT on wealth inequality. Therefore, we encourage efforts to implement democratic institutions that ensure respect for citizens' freedoms, greater democratic accountability, and executive constraints that allow for a more egalitarian distribution of wealth.