Showing papers on "Poverty published in 2024"
01 Jan 2024
TL;DR: Complex emergencies are associated with a variety of factors, such as war, poverty, overpopulation, human-caused environmental destruction and change, and natural disasters as discussed by the authors , leading to great human suffering and death, requiring external assistance and aid.
Abstract: Complex emergencies are associated with a variety of factors, such as war, poverty, overpopulation, human-caused environmental destruction and change, and natural disasters. They are caused by and result in complicated social, medical, and often political circumstances. They often occur in resource-limited settings and lead to great human suffering and death, requiring external assistance and aid.
01 Jan 2024
TL;DR: In this paper , the authors examine how corporations use their instrumental and structural power within markets and states to advance their policy agendas, including the U.S. military industrial complex, the rise of billionaire wealth, the role of a transnational investment bloc, Canadian imperialism in the English-speaking Caribbean, the power of an EU corporate bloc in Caribbean trade agreements, and the relationship between capitalism and poverty in rich capitalist countries.
Abstract: How do corporations use their instrumental and structural power within markets and states to advance their policy agendas? Capitalism and Class Power examines corporate power through chapters on the U.S. military industrial complex, the rise of billionaire wealth in the U.S., the role of a transnational investment bloc in U.S.–Saudi relations, the rise of global disinformation firms, Canadian imperialism in the English-speaking Caribbean, the power of an EU corporate bloc in Caribbean trade agreements, the relationship between capitalism and poverty in rich capitalist countries, and the relationship between “neoliberalism” and capitalism. Professor Cox concludes the volume with reflections on the importance of corporate power research to achieving systemic change.Contributors are: Melissa Boissiere, Aram Eisenschitz, Jaime Gough, Adam Hernandez, Tamanisha J. John, Mazaher Koruzhde, Rob Piper and Bryant Sculos.
TL;DR: Wang et al. as discussed by the authors employed a survey of 1926 farmers in five provinces of the Yellow River Basin in China, and examined the multi-dimensional poverty reduction effect of off-farm employment and the heterogeneous influence of different dimensions of offfarm employment (modes, levels, distances and frequency).
Abstract: ABSTRACT: As an essential way to enhance farmers’ self-development ability, off-farm employment plays an indispensable role in farmers’ multidimensional poverty reduction in many countries. Employing a survey of 1926 farmers in five provinces of the Yellow River Basin in China, this paper examined the multi-dimensional poverty reduction effect of off-farm employment and the heterogeneous influence of different dimensions of off-farm employment (modes, levels, distances and frequency). The results showed that (1) although absolute poverty in the income dimension was largely eliminated in the Yellow River Basin, the poverty in social resources, transportation facilities, employment security were the key bottlenecks restricting farmers’ self-development. (2) The province with the best multidimensional poverty reduction effect for non-farm employment was Shaanxi, with the largest contribution to employment security. (3) Improving off-farm employment level, distance and time can significantly alleviate the multi-dimensional poverty of farmers. Therefore, to lessen the multi-dimensional poverty of farmers in the Yellow River Basin, it is necessary to focus on the governance of multi-dimensional key poverty-stricken areas, such as the middle and upper courses of the Yellow River, adopting multidimensional poverty alleviation strategy of off-farm employment according to local conditions, working on the farmers’ deficiencies in social resources, mobility, employment security, and deepening the effect of off-farm employment on benefiting farmers and helping the poor.
TL;DR: In this article , the behavior of multidimensional and income poverty, as well as its determinants in Brazil, in addition to rural and urban areas, based on information from the 2019 National Continuous Household Sample Survey (PNADC).
Abstract: Abstract This paper studied the behavior of multidimensional and income poverty, as well as its determinants in Brazil, in addition to rural and urban areas, based on information from the 2019 National Continuous Household Sample Survey (PNADC). The Alkire-Foster methodology was used in the construction of a Multidimensional Poverty Index (MPI), in addition to the logit model to estimate the impacts of determinants related to household characteristics on poverty. The health and sanitation dimension was the one that contributed the most to the MPI, followed by the education and housing dimensions. Unidimensional poverty was greater than multidimensional and rural poverty was also greater. Among the determinants of poverty, being in households with non-white heads, younger, unmarried, unemployed, less educated and in the North and Northeast regions increased the chances of poverty. In addition, while female heads reduced the chances of multidimensional poverty, it increased the chances of the unidimensional one.