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This paper deals with poverty decompositions into subgroups defined with respect to intervals of income and the robustness of comparisons of the absolute contribution of such groups to poverty. For instance, world poverty estimates by the World Bank often distinguish between the extreme poor whose incomes are lower than $1.25 a day (in PPP terms) and the other poor with incomes between $1.25 and $2.5 a day. Existing dominance conditions can tell whether overall poverty and extreme poverty have declined in a robust manner when comparing countries at two points of time, but they cannot say anything for the contribution of the non-extreme poor to overall poverty. In the present paper we propose stochastic generalized dominance criteria to perform robust poverty ordering when the focus is placed on some interval of the poverty domain. Using generated data based on grouped data from World Bank’s PovcalNet tool, the paper finally investigates whether the robust decline of extreme poverty around the world during the last decades was also accompanied by a decline of the contribution of non-extreme poverty.

An axiomatic approach is used to propose a measure of extreme poverty which is not only multidimensional in nature, but also recognizes the fact that there are interaction effects between different deprivations, and that the length of time during which deprivations are felt may also have a negative impact on household well-being. The proposed definition of extreme poverty formalizes an approach developed by Joseph Wresinski, the founder of the International Movement ATD Fourth World.

This study examined the impact of poverty using multiple poverty measures on students with disabilities, using data from the first wave of the Special Education Longitudinal Study (SEELS; Wagner, Marder, Blackorby, & Cardosa, 2004). Multiple definitions of poverty based on previous research were employed in the present study, to address limitations of the federal poverty measure. These definitions included (a) 50% of the federal threshold (extreme poverty), (b) the federal threshold, (c) 150%, and (d) 200% of the federal threshold. These measures were then used with the SEELS data that were obtained from 9,747 parent interviews and 4,912 student assessments based on subtests of the Woodcock-Johnson Tests of Achievement. Both student and household characteristics data were used to identify the extent to which income and poverty were associated with academic achievement and disability using multiple poverty measures. Findings of interest were uncovered in the extreme poverty category, with more pronounced differences revealed in gender and ethnicity. Overall, this research suggests that poverty is a better predictor of academic achievement than ethnicity, and that life circumstances become increasingly less positive as family income declines. Future research and policy implications are discussed.

Latin America experienced a long period of sustained growth since 2003 that positively impacted social and labor market indicators, including poverty. This paper contributes to the understanding of this process as it carries out a comparative study of poverty and indigence dynamics in five Latin American countries during 2003–2012. Specifically, it extends the analysis of a previously published study by broadening the time coverage and examining indigence mobility. It analyzes the extent to which countries with different levels of poverty (extreme poverty) incidence diverge in terms of exit and entry rates, and identifies the relative importance of the frequency and impact of events associated with poverty transitions. For this, a dynamic analysis of panel data is carried out using regular household surveys. Sizeable rates of poverty and indigence movements were observed in all five countries and it was found that a large proportion of poor or indigent households experienced positive events, mainly related to the labor market; however, only a small fraction of them actually exited poverty and indigence. It appeared, therefore, that even when the economy behaved reasonably well, high levels of labor turnover and income mobility (even of a negative nature) still prevail, mainly associated with the high level of precariousness and the undeveloped system of social protection that characterize the studied countries.

The paper analyses the prevalence of extreme and multidimensional poverty in line with the sustainable development agenda. In addition, the paper examines the drivers of extreme poverty while accounting for the potential spillover effect of poverty in the region.

The study adopts the pooled OLS with Discroll-Kraay robust standard errors to control for cross-sectional dependence. In addition, given the strong potential for endogeneity of poverty index, the authors also employ the generalized method of moments (GMM), which accounts for simultaneity and endogeneity problems, and the spatial error and lag models to control for all forms of spatial and temporal dependence since the factors that affect poverty disperse across borders.

The study finds that in addition to the traditional drivers of poverty (unemployment, low per capita GDP growth and public debt), poverty in Sub-Saharan Africa is a symptom of a deeper structural problem (lack of access to water and sanitation, high level of corruption and low level of financial development, and frequent economic busts). Likewise, the results from the spatial econometric specification show, consistently across all the specifications, that there is a substantial spillover effect of poverty across the region.

The main novelty of the paper is that the authors investigate the “economic shrinkage hypothesis,” and examined the potential negative spillover effect of poverty in the region.

This is an account‐taking paper on the status of global poverty and its reduction. The purpose of this paper is to examine why some countries reduce poverty more quickly than others.

The data on the population living below $1 a day during 2000 and 2002 reported in the World Development Indicators (WDI) 2004 have been used to identify the status and determinants of poverty across countries. Next, using the national data on poverty level with respect to countries having a $1 poverty level of more than 3 percent as reported in WDI‐2004, the rate of change in the poverty level was calculated. In both cases, the explained and the explanatory variables used in the multiple regression frameworks were selected based on theory and other empirical findings.

The results indicate that countries with sustainable agricultural growth, foreign capital flows, and better infrastructure tend to achieve a faster reduction in poverty. Research limitations/implications – In a cross‐country empirical analysis, it is difficult to obtain consistent and uniform infrastructure indices. The proxies used in this paper could be improved.

The practical implications of policy formulations are to strengthen economic activities such as labour‐intensive export promotion, emphasis on agriculture productivity, improved communication and infrastructure, besides effectively implementing policy initiatives such as population control, reduced dependency on aids and reducing malnutrition to achieve a lower incidence of health expenditure.

This paper identifies the common economic characteristics that prevail across the countries with extreme poverty by developing a statistically consistent model from a pool of explanatory variables selected from earlier cross‐country poverty studies.

The purpose of this paper is to analyze the dynamic asymmetric relationship between financial technology (FinTech) adoption and poverty alleviation on annual data for the Sub-Saharan Africa (SSA) region over the period from 2004 to 2020.

This study adopted the general method of moments (GMM) method on annual data for 127 countries including 45 countries from the SSA region over the period from 2004 to 2020.

The study’s findings show that improvement in FinTech may initially decrease the rate of extreme poverty, leading to a decrease in total poverty as a percent of the population. While there is an initial decrease in the rate of extreme poverty with improvements of FinTech, once the FinTech index reaches its threshold level of 37.18 points, further improvement in FinTech tends to decrease as penetration increases, giving rise to an decrease in the rate of poverty alleviation.

Policymakers should design more aggressive and comprehensive policies directed at recouping the maximum gains of FinTech adoption, with a reasonable threshold target.

Policymakers in the SSA region must be aware of a FinTech threshold level of 37.18 points. To ensure the highest reduction in extreme poverty, policymakers must keep investing in FinTech to reach this threshold level.

FinTech improvement leads to poverty alleviation. Policymakers in the SSA region can fully recoup the benefits of FinTech by achieving a pre-set threshold level.

This paper addresses that gap in the literature by studying the impact of FinTech, instead of the traditional financial inclusion measures, on poverty in the 45 countries in the SSA region, exploring the potential dynamic asymmetry of this poverty-FinTech link, and testing the presence and statistical significance of the threshold level of FinTech.

Regional minimum income (RMI) schemes have been a fundamental tool for fighting poverty in Spain at a regional level. However, the redistributive power of these schemes has not been as effective as was expected in reducing inequality during the last decades. On the other hand, the introduction of the new ‘Minimum Vital Income’ (MVI) by the Spanish Central Government represents a novel measure for fighting poverty, by guaranteeing minimum incomes from a national perspective as a policy response to the asymmetric impact of the COVID-19 crisis upon income distribution. Using EUROMOD,¹ this paper simulates both the distributional effects of the introduction of the MVI and what the effects on inequality and poverty in each Spanish region would be if the national scheme were to substitute the current regional schemes. The results referring to MVI introduction indicate that inequality and poverty would decrease in all dimensions: incidence, intensity, and inequality among the poor (Foster–Greer–Thorbecke poverty measures). Additionally, the negative effects of RMI elimination would be offset by the positive effects of MVI introduction for most regions, leading us to consider that the simulated scenario entails better redistributive results, as well as additional savings for Spanish Public Accounts, in a context of growing debt. Our findings can provide public policy-makers with useful information about the convenience of fighting poverty at a national level as regards distribution and revenue.

Urban sociological research posits a strong correlation between social isolation and the growth in illicit activities of street culture, namely the drug trade and violent gang activities. However, in this article we offer an explanation for why, even in the absence of extreme poverty and social isolation from mainstream institutions, youths in Cambridge, Massachusetts feel vulnerable to illicit street cultural activities. We also offer an explanation for why these youths perceive the effects of social dislocation to be similar to that experienced by youths from larger central cities. As we will elaborate below, some students in Cambridge are affected by illicit street cultural activities because: (1) social dislocation is a relative phenomenon and not merely an absolute phenomenon as described by William J. Wilson; (2) there is a social dislocation spill‐over effect from larger central cities that intensifies or amplifies the experiences of youths in the relatively poorer neighborhoods of Cambridge; (3) and some youths, from stable working‐class or wealthier neighborhoods in Cambridge, view involvement in the illicit activities of street culture as a reputable means of gaining peer respect through status group affiliation.