No abstract

The aim of this work is to determine the factors affecting development, not only the economic ones, which play a central role in economic literature, but also social. To do so we have used a wide sample of countries and have estimated a panel data for 171 of those that have been members of the United Nations (UN) for a period of 16 years (from 1995 to 2010 inclusive). The results obtained allow us to conclude that fight against poverty, provision of basic infraestructure, and investment in greater democracy, greater stability and less corruption, have, in all cases, a positive effect on human development in these countries.

The aim of this work is to study the Kuznets curve in order to examine whether the hypothesis on inequality and development that he posited in his 1955 article is verified or not when using the data at our disposal today; these data are more numerous, both for countries and periods available, than when Kuznets originally conducted his study. The approach that makes this research unique is that it will be performed by differentiating the sample in terms of underdeveloped and developed countries. In this regard, at present (with the data and methodologies of Cochrane-Orcutt and GMM System), the Kuznets hypothesis seems to be robustly verified because, when taking a variable other than the Log GDPpc (GDP per capita in logarithms) as a measure of development, such as the HDI or the proportional contribution of the agricultural sector on GDP, the relationship described by Kuznets still seems to be present; this is not a regularity when using the basic GDPpc variable. Moreover, it has been observed that, over the very long term, the Milanovic hypothesis seems to appear; namely, that inequality follows a sinusoid form rather than a concave curve. Finally, a section has been included in which we see how the 3 effects (scale, technique and composition) of world trade on inequality affect, as has been applied in recent years on CO2 emissions in the Environmental Kuznets Curve (EKC).

The main objective of this work is to analyze whether inequality in income distribution has an effect on COVID-19 incidence and mortality rates during the first wave of the pandemic, and how the public health system mitigates these effects. To this end, the case of 819 Spanish municipalities is used, and a linear cross-sectional model is estimated. The results obtained allow us to conclude that a higher level of income inequality generates a higher rate of infections but not deaths, highlighting the importance of the Spanish National Health Service, which does not distinguish by income level. Likewise, early detection of infection measured by the number of primary care centers per 100,000 inhabitants, access to health care for the treatment of the most severe cases, unemployment as a proxy for job insecurity, climatic conditions, and population density are also important factors that determine how COVID-19 affects the population.

Why do the majority of African countries fail to take the steps that would lead them towards greater development? The aim of this work is to determine the factors affecting development, not only the economic ones, which play a central role in economic literature, but also social. To do so, we have used a wide sample of countries and have estimated a panel data for 171 countries of those that have been members of the United Nations (UN) for a period of 16 years (from 1995 to 2010 inclusive). Our results lead us to conclude that monetary instability and the colonial past of these countries have had a negative impact on their level of human development. However, improvements in the efficiency of governmental policy and instruments, investment in greater democracy, greater stability and less corruption, have, in all cases, a positive effect on human development in these countries.