Urbanization and vulnerable employment: Empirical evidence from 163 countries in 1991-2019.

Many urban residents have recently lost their jobs due to the COVID-19 pandemic, which has made employment vulnerability in cities attained attention. It is thus important to explore the relationship between urbanization and employment. This study quantitatively analyzes spatiotemporal evolution and data correlation of urbanization and vulnerable employment, and explores the role urbanization plays in vulnerable employment by using historical data on 163 countries in the period 1991-2019 to test the theoretical hypothesis. The results show: It's clearly observed that there is a high correlation between the rate of urbanization and that of vulnerable employment, and the examples of G7 and BRICs are for it. The estimated urbanization yields a negative and statistically significant regression coefficient (-0.168), indicating that urbanization has a negative effect on vulnerable employment. If the urbanization rate increased by 1 %, the rate of vulnerable employment decreased by 0.168 %. The rural-urban sector conversion and changes in employment relationship driven by urbanization account for this. Countries with different income groups or populations have reacted differently to the rise in urbanization. Vulnerable employment in higher-income countries has been more significantly affected by the rise in urbanization, and more populous countries are more sensitive to it as well. These findings provide evidence for how urbanization promotes employment and decent work.

Short-term effects of the COVID-19 pandemic on employment and income of the Russian population: which groups were affected the most?

The paper analyzes short-term factors of job loss, wage reduction and factors of household income reduction in Russia in the context of the coronavirus crisis. Panel data of the Russian Longitudinal Monitoring Survey - Higher School of Economics (RLMS-HSE) served as empirical basis of the study. According to the study results, the highest risks of job loss are registered among females, young employees, unskilled workers, workers without professional education, and workers with low wages. However, almost the only factor of wage reduction (in case of retained employment) is employment in the most affected industries. Household income prior to the pandemic is the key determinant of household income reduction – the higher the level of material wellbeing, the higher the risk of income reduction. Increased probability of income reduction is also reported for families with children. The study has confirmed the hypothesis about negative impact of vulnerable employment on employment and wages of individuals, as well as household income.

COVID-19 Mortality Rate and Its Incidence in Latin America: Dependence on Demographic and Economic Variables.

The pandemic caused by COVID-19 has left millions infected and dead around the world, with Latin America being one of the most affected areas. In this work, we have sought to determine, by means of a multiple regression analysis and a study of correlations, the influence of population density, life expectancy, and proportion of the population in vulnerable employment, together with GDP per capita, on the mortality rate due to COVID-19 in Latin American countries. The results indicated that countries with higher population density had lower numbers of deaths. Population in vulnerable employment and GDP showed a positive influence, while life expectancy did not appear to significantly affect the number of COVID-19 deaths. In addition, the influence of these variables on the number of confirmed cases of COVID-19 was analyzed. It can be concluded that the lack of resources can be a major burden for the vulnerable population in combating COVID-19 and that population density can ensure better designed institutions and quality infrastructure to achieve social distancing and, together with effective measures, lower death rates.