Poverty Dynamics Research Articles

Poverty Dynamics and Caries Status in Young Adolescents.

To investigate whether timing, accumulation and trajectories of poverty are associated with dental caries in young adolescents. The study was conducted within the Generation R Study, which is an ongoing population-based prospective cohort study conducted in Rotterdam, the Netherlands. This study included 2653 children. Information about household income and number of children and adults living in a household at six time points from pregnancy to 13 years old was retrieved from parental questionnaires to construct the poverty variable. Dental caries was assessed with the decayed, missing and filled teeth index through intraoral photographs at the age of 13 years. Sociodemographic and oral health-related characteristics were included as possible confounders. The association between poverty and dental caries was analysed on the basis of the three lifecourse theories, that is, critical period, cumulative risk and social mobility model. For the latter, we used latent class growth analysis (LCGA) to identify poverty trajectories over time. Next, the associations were studied with Hurdle Negative Binomial Models. Poverty at birth and intermittent poverty up to the age of 13 were significantly associated with dental caries at 13 years of age (OR 1.41, 95% CI 1.01-1.99; OR 1.36, 95% CI 1.01-1.83 respectively) and with an increased mean number of decayed teeth by 34% (95% CI 1.02-1.76; 95% CI 1.05-1.71, respectively). LCGA showed four trajectories for the probabilities of poverty. All trajectories were significantly associated with dental caries at 13 years of age, with the 'downward mobility' trajectory showing the strongest association with dental caries (OR 1.55, 95% CI 1.05-2.29) and an increasing mean number of decayed teeth by 58% (95% CI 1.18-2.12) than the 'stable absent' trajectory. Poverty at birth, intermittent poverty and downward poverty trajectory were associated with higher odds and higher mean number of decayed teeth at 13 years of age. The three lifecourse models influenced dental caries status during adolescence, hence strategies and policies targeted to improve socioeconomic conditions on deprived children should be implemented.

Economic Growth in Indonesia: Dynamics of Poverty, Unemployment, and Health Budgets

Even with Indonesia's impressive recent economic expansion, issues including poverty, unemployment, health care spending, housing, education, and labor productivity continue to be serious problems. International organization databases, government reports, academic publications, national statistics agencies, and academic publications are some of the sources that can be used for secondary quantitative data analysis encompassing 34 provinces from 2018 to 2022. The results show that unemployment, poverty all have a detrimental effect on economic growth. On the other hand health budget allocations all have a favorable impact. The study concludes that while investments in health budgets positively influence growth by enhancing human capital and, poverty, unemployment negatively impact economic growth. This study's conclusion about the correlation between the variables can offer insightful information to practitioners across a range of fields and public policy.

The Paradox of Progress towards SDG7: Governance Quality and Energy Poverty Dynamics in Pakistan

This study investigates the multidimensional aspects of energy poverty in Pakistan from 2000 to 2022, specifically evaluating the direct, indirect, and total effects of socioeconomic and environmental factors. We employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the impacts of income, population, governance quality, energy intensity, fuel prices, and renewable energy consumption on energy poverty. The study further contributes by examining the mediating role of governance quality and developing the World Governance Indicators (WGI) Index. The findings indicate significant negative effects of energy intensity and renewable energy consumption on energy poverty. Conversely, population growth and income levels demonstrate positive effects, contradicting conventional economic development and energy access assumptions. Governance quality establishes direct and indirect effects that mediate most relationships between independent variables and energy poverty. Bootstrapping analysis confirms the significance of governance quality as a mediator. The model describes significant energy poverty variance with robust predictive relevance. This study emphasizes the need to adopt a comprehensive strategy to decrease Pakistan’s energy poverty by articulating socioeconomic, environmental, and governance factors. Our findings offer valuable information for policymakers to achieve UN Sustainable Development Goal 7, embarking on governance reforms, promoting sustainable growth, and enforcing investments in energy efficiency and renewable sources as Pakistan approaches the 2030 SDG 7 deadline.

Unveiling Poverty Dynamics in India: Examining Convergence and Determinants at Sub-National Level

ABSTRACT This paper tries to investigate the question of whether the poverty ratio across Indian states is converging in the post-2000s. We addressed this question of spatial convergence of the poverty ratio using unconditional convergence over the period 2004–05 to 2018–19 for 18 major states of India, considering both rural and urban regions. We used the unit-level data of NSSO’s Consumer Expenditure Surveys (CES) for the 61st, 68th and PLFS 2018–19 rounds for the analysis. Besides, we try to assess the driving factors of poverty through a panel regression model. The results reveal that in the first period from 2004–05 to 2011–12, Indian states experienced a divergence in the overall poverty ratio and rural poverty. However, the second period, 2011–12 to 2018–19, witnessed no specific trend of convergence or divergence across states. Again, in the case of urban poverty, there is no particular pattern of poverty convergence or divergence during both periods. The study shows that the Gini coefficient, educational expenditure, household size, infant mortality, literacy rate, MPCE, primary-sector income and per capita power availability are the significant determinants of poverty in India.

Conquerors of poverty – a case study of Colombo slum dwellers

PurposeWhile extensive research has explored poverty in various dimensions, there remains a notable dearth of studies focusing on success stories of slum dwellers overcoming adversity. This research seeks to address this gap by investigating the strategies employed by individuals to transcend poverty. Moreover, it evaluates the practicality and effectiveness of existing theories in real-world contexts through careful interpretation.Design/methodology/approachData were gathered from two distinct cases through comprehensive, in-depth interviews. These narratives were subjected to scrutiny employing the Description Analysis Interpretation method. Subsequent interpretation and theoretical exploration were guided by Bourdieu’s class theory. The overarching goal was to shed light on the remarkable journeys of specific slum residents who surpassed the constraints of poverty. This endeavor not only highlighted the practical efficacy of these theories but also underscored their relevance in illuminating real-world scenarios through interpretation.FindingsThe findings underscore the capacity of slum dwellers to rise above poverty, thereby emphasizing the practical utility of specific theories aimed at poverty alleviation in elucidating their experiences. Notably, social capital, a cornerstone of Bourdieu’s class theory, emerges as equally pivotal as economic capital in shaping individuals' trajectories.Research limitations/implicationsThe study’s scope is confined to narratives within the Colombo slums, offering a platform for future researchers to extend their investigations beyond this context. By employing alternative methodologies and exploring diverse geographical regions, scholars can broaden their understanding of poverty alleviation strategies and their applicability across varied socioeconomic landscapes. This calls for wider research for comprehensive exploration and comprehension of poverty dynamics beyond singular locales.Practical implicationsThe study provides invaluable insights for policymakers, governmental bodies and nongovernmental organizations, urging them to reconsider and reformulate policies, educational strategies and community development programs tailored to the needs of slum dwellers and their children. These insights offer a pathway toward more effective interventions aimed at fostering sustainable upliftment within these marginalized communities.Originality/valueThis research fills a critical gap in poverty literature by exploring success stories of slum dwellers overcoming adversity, an area often overlooked. It uniquely investigates the strategies these individuals employ to transcend poverty, offering fresh insights into the practical application of poverty alleviation theories. Utilizing Bourdieu’s class theory, the study highlights the importance of both social and economic capital in these success narratives. By focusing on real-life experiences, it underscores the relevance and utility of these theories in real-world contexts, enriching the theoretical discourse and providing valuable perspectives for policymakers and practitioners.

Subsidizing Inclusive Insurance to Reduce Poverty

In this article, we assess the benefits of coordination and partnerships between governments and private insurers and provide further evidence for microinsurance products as powerful and cost-effective tools for achieving poverty reduction. To explore these ideas, we model the capital of a household from a ruin-theoretic perspective to measure the impact of microinsurance on poverty dynamics and the governmental cost of social protection. We analyze the model under four frameworks: uninsured, insured (without subsidies), insured with subsidized constant premiums, and insured with subsidized flexible premiums. Although insurance alone (without subsidies) may not be sufficient to reduce the likelihood of falling into the area of poverty for specific groups of households, because premium payments constrain their capital growth, our analysis suggests that subsidized schemes can provide maximum social benefits while reducing governmental costs.

Looking for a way out: The dynamics of slum life, poverty, and everyday resistance in Katherine Boo’s Behind the Beautiful Forevers

This article looks into the implications of urban informality in Katherine Boo’s Behind the Beautiful Forevers: Life, Death and Hope in a Mumbai Slum (2012) as represented in slum life and urban poverty. It aims to investigate the impact of urban poverty on the everyday practices of slum dwellers and their endeavors to escape the trap of poverty in an attempt to highlight the human dimension of the slum. The article seeks to unravel multi-layers of the interaction between people and poverty and the differing models of resistance to poverty and social exclusion depicted in the nonfiction narrative. The article examines slum life from a descriptive sociological perspective with a detailed description of how people survive in poverty. The study of the culture of slums entails an analysis of the survival techniques and everyday practices of slum dwellers, the relations and patterns of behavior among the different categories of people inhabiting a slum, and the outcomes of the interplay between place, culture, and power relations in such communities. This is implemented through an eclectic sociological approach that comprises theories of space, culture, and resistance as proposed by James Scott, Theodore W. Schultz, and Henri Lefebvre.

Optimal control and cost-effectiveness analysis of alcohol addiction and poverty dynamics in a population

Optimal control and cost-effectiveness analysis of alcohol addiction and poverty dynamics in a population

Poverty dynamics for Ghana during 2005/06–2016/17: An investigation using synthetic panels

Ghana has consistently kept its poverty rate lower than the regional average over the past 25 years, but this positive trend has slowed down recently. Without actual panel data, it would be next to impossible to probe into the dynamic patterns beneath this trend. We offer the first study that examines the dynamics of overall, moderate, and extreme poverty in Ghana during 2005/06–2016/17, addressing the lack of actual panel data by constructing synthetic panel data from three nationally representative cross-sectional rounds of the Ghana Living Standards Surveys (GLSSs).We present a well-defined decomposition framework, which allows us to examine a rich profile of the dynamics among different population groups. Beyond poverty analysis, we further investigate the dynamics of the full consumption expenditure distribution. Although we find considerable conditional chronic (extreme) poverty rates hovering around 50–60%, there was more upward mobility than downward mobility during this period. Poor households were also more likely to have stronger consumption expenditure growth. The findings suggest that factors such as educational attainment, female household headship, urban residence, and nonagricultural work are positively correlated with poverty reduction. Compared to all other correlates, educational attainment appears to be the most effective in pushing households out of poverty and keeping them from falling into poverty. These results contribute to the growing literature on poverty dynamics in developing countries in general and provide new and relevant inputs for policy advice in Ghana in particular, especially since policies that address chronic poverty typically differ from those that tackle transient poverty.

The socioeconomic dimensions of racial inequality in South Africa: A social space perspective.

It is well evidenced that South Africa is characterised by extreme socioeconomic inequality, which is strongly racialised. We offer an original sociological perspective, which departs from established perspectives considering the dynamics of vulnerability and poverty to focus on the structuring of classed and racialised privilege. We map how stocks of economic, cultural, and social capital intersect to generate systematic and structural inequalities in the country and consider how far these are associated with fundamental racial divides. To achieve this, we utilise rich, nationally representative data from the National Income Dynamics Study and employ Multiple Correspondence Analysis to construct a model of South African 'social space'. Our findings underscore how entrenched racial divisions remain within South Africa, with White people being overwhelmingly located in the most privileged positions. However, our cluster analysis also indicates that forms of middle-class privilege percolate beyond a core of the 8% of the population that is white. We emphasise how age divisions are associated with social capital accumulation. Our cluster analysis reveals that trust levels increase with economic and cultural capital levels within younger age groups and could therefore come to intensify social and racial divisions.

Predictive stability study of poverty trend in Uganda using selected indicators

This study investigates poverty dynamics in Uganda, employing an extensive stability analysis of different socioeconomic indicators to understand long-term trends and likely drivers of poverty. An eighteen years yearly secondary data from 1992 to 2020 on poverty rates for the selected indicators under review sourced from World Bank site was utilized for all the data analysis. Outcomes from extensive data analysis shows considerable reductions in poverty rates over time, especially in outlying areas of eastern and northern Uganda despite increasing income inequality as suggested by the increasing Gini coefficient. All the metrics have a significant impact on Uganda's poverty rates, with the exception of the poverty headcount ratio, which stands at USD 6.85 per day (2017 PPP) as a percentage of the population. Particularly, the forecasted values also show a fluctuating trend movement, both downward and upward, suggesting possible variability in future poverty rates in Uganda. The necessity to carefully evaluate as well as monitor poverty dynamics to guide policy interventions aimed at reducing poverty is underlined by this information. Additionally, the stability analysis framework suggested in this research provides insights into the viability as well as resilience of Uganda's socioeconomic system in tackling poverty, enabling evidence based policies and interventions in poverty reduction. The study suggests more examination of various other dimensions of poverty and non-monetary indicators of well-being to better our understanding and support better poverty alleviation methods in Uganda along with other similar settings.

Decentralization Of Vietnam'S forestlands: The policy process and impact

The decentralization of land is crucial for effective production, welfare improvement, and social development. However, the formulation, outcome, and impact of land decentralization policies are influenced by political regimes, policy processes, geographical areas, and socio-economic settings. This study focuses on Vietnam's forest and forestland allocation program over the past 30 years to investigate its impact on poverty dynamics. Retrospective policy analysis and an extended random effect treatment model with longitudinal panel data collected from 53,568 plots in 12 provinces across Vietnam from 2008 to 2018 were used. The findings suggest that while the forestland allocation policy has a positive effect on poverty alleviation, it has minimal impact on the poorest household groups. Additionally, actual tree planting is more beneficial to the non-poor group, indicating a lack of incentivized policies for tree planting and inadequate consideration of the genuine livelihood needs and investment capacities of land recipients, especially poor households. Policy improvements are recommended to better align with the rationale, aims, and social expectations.

Family Structure and Poverty Changes Among U.S. White Alone (non-Hispanic) Families in the United States: A State of Families Project Report (1967–2022)

This report is the second in a series of State of Families (SoF) project data reports to be published throughout Volume 60 (2024) of Marriage and Family Review (MFR). MFR partnered with the Statistical Consulting Center at Miami University to systematically analyze the conditional state of U.S. families and family life across diverse contexts. This inaugural report focuses on U.S. White alone (non-Hispanic) families (with and without children under 18 years of age) in the United States, examining changes in family structure and poverty levels over time (1967–2022). Using data from the U.S. Census Bureau, we explore trends in married-couple families, single-parent families, cohabiting households, and other family types within the demographic category of White alone (non-Hispanic) population. Additionally, we investigate the dynamics of poverty among different family structures within this group. The report aims to provide a comprehensive overview of the evolving landscape of White alone (non-Hispanic) families in the context of broader societal shifts and economic realities in the U.S.

Empirical analysis of poverty dynamics in central Asia: Unraveling the vicious circle of systemic factors and policy implications

Empirical analysis of poverty dynamics in central Asia: Unraveling the vicious circle of systemic factors and policy implications

Measuring human settlement wealth index at 10-km resolution in low- and middle-income countries from 2005 to 2020 using multi-source remote sensing data

Measuring human settlement wealth index at 10-km resolution in low- and middle-income countries from 2005 to 2020 using multi-source remote sensing data

Are we underestimating inner-megacity energy poverty in developing countries? Evidence from 2054 households in beijing, China

The prevalence of poverty and inequality in megacities often manifests as high levels of energy poverty and disparities in household energy consumption. A comprehensive survey of 2054 households in Beijing was conducted in 2023 to examine the dynamics of energy poverty within such an urban settings. As one of the world's most influential megacities, Beijing offers a distinct and insightful case study for understanding energy poverty in a rapidly urbanizing global context. Utilizing the 10 % and low-cost/high-income (LIHC) methods, we estimated that the energy poverty rate in Beijing ranges between 16.07 % and 17.53 %, with the highest rates observed in suburban areas. In addition, we explored the spatial differences in energy poverty and the root causes. Our research reveals a significant correlation between economic and geographical factors and the spatial distribution of energy poverty. Furthermore, our findings suggest that larger populations tend to be associated with reduced disparities in energy poverty across different areas. Therefore, we suggest promoting the use of energy-efficient installations, implementing time-sensitive heating systems, and providing electricity and hygienic cooking facilities.

The Application of Plural Panelist Synthesis Method in Identifying Determinant Factors That Influence Economic Growth

This research aims to study intra-generational income mobility and poverty, and it also seeks to characterize and measure individual mobility by analyzing the duration of poverty, consecutive versus transient poverty, and the likelihood of re-entry. Researchers used a synthetic panel approach to estimate individual income in the second round based on data from the first round. This approach allows research to look at changes in individual income over time, even though actual panel data is unavailable. Based on research results, it show that the main factor influencing stagnation is the difficulty of leaving poverty, not the problem of entering poverty. In addition, analyses that consider the entire period also provide different results regarding the level of permanence in poverty. Synthetic panel analysis shows that the individuals who move out of poverty are those who were poor at the start of each period studied, not those who already had incomes above the poverty line. In addition, these results also show that the proportion of individuals who experience poverty in a shorter period is greater than that of those who experience poverty for four years. The analysis shows changes in poverty dynamics between the two periods studied. Successive poverty dominates, meaning that individuals who fall into poverty tend to remain poor over that period. However, the predominance is shifting towards transient poverty, where individuals experience poverty for shorter periods, moving in and out of poverty within that period.

Inequality and poverty in Spain: Insights from a regional convergence analysis

AbstractWe study the dynamics of inequality and poverty across 17 Spanish regions during 2008–2021. Through a club convergence approach, the results show noticeable differences in both indicators, income inequality (S80/S20) and poverty rate: two clubs are endogenously derived from inequality, while the analysis of the poverty was conducted in four clubs. In addition, the results are complemented with the outcomes for the GDP per capita, where more heterogeneity is detected, with three clubs, but with six divergent regions. The ordered logit model allows to identify the driving factors of such clubs. Finally, policy implications are discussed: the findings recommend the need for specific public policies to address regional differences in terms of economic and social growth also considering the trajectories—convergence or divergence—in inequality and poverty and their determining factors.

Unveiling Indonesia’s poverty dynamics: Analyzing the structural impact of the tourism sector on poverty depth and severity

This study addresses the impact of the tourism sector on poverty, poverty depth, and poverty severity in Indonesia, focusing on the micro-level dynamics in the province. Despite numerous tourism destinations, their strategic contribution to regional progress remains underexplored. The motivation stems from the need to comprehend the nuanced relationship between tourism and poverty at both the national and local levels, with specific attention to the untapped potential at the province level in Indonesia. We hypothesize that a higher tourism sector GRDP will be inversely correlated with poverty levels, and the inclusion of a Covid-19 variable will reveal a structural impact on poverty dynamics. Employing a Panel Regression Model, secondary data from the Central Statistics Agency (BPS) spanning 2011–2020 is utilized. A panel data regression equation model, including CEM, FEM, and REM, is employed to analyze the intricate relationship between tourism and poverty. The findings demonstrate a negative correlation between higher tourism sector GRDP and the number of poor people. The Covid-19 variable, considered a structural break, reveals a significant association between increased cases and elevated poverty and severity across Indonesian provinces. This study contributes a micro-level analysis of tourism’s role, emphasizing its impact at the provincial level. The findings underscore the need for strategic initiatives to harness the untapped potential of tourism in alleviating poverty and promoting regional progress.

Further complications to poverty of place: daily poverty dynamics across space

AbstractIt is well established that living in a high‐poverty area often leads to lower levels of well‐being for residents. While these deleterious effects of place‐based poverty are well‐documented, the conceptual mechanisms linking poverty of place to negative outcomes remain debated, and the our understanding of the spatial patterning of poverty remains underdeveloped. In this paper, we problematize simple conceptualizations of the negative impacts of poverty exposure by illustrating the dynamic patterns poverty displays across cities on a daily basis. The vast majority of prior research on poverty of place has relied upon data anchored to place of residence. Thus, poverty rates broadly reflect poverty as it exists at night. This bias toward nighttime statistics leaves us with an incomplete understanding of spatial inequalities because daytime poverty rates can differ markedly from nighttime poverty rates due to work‐related commuting patterns. Here, we use novel data from the Census Transportation Planning Products to fully illustrate diurnal patterns in poverty at the census tract level in metropolitan America. Through a combination of descriptive, spatial, and statistical analyses, we show that the majority of census tracts experience changes in poverty throughout the day. Through a series of regression models, we also show that diurnal patterns in poverty are unevenly distributed along the lines of suburbanization, race, economic status, age composition, and industrial structure. Overall, our findings provide analytic insights into properly documenting poverty across space, while further problematizing lingering culture of poverty frameworks.