Spatial Context and Poverty: Area-Level Effects and Micro-Level Effects on Household Poverty in the Texas Borderland &amp; Lower Mississippi Delta: United States, 2006

Poston, Dudley L.; Singelmann, Joachim; Siordia, Carlos; Slack, Tim; Robertson, Bruce A.; Sáenz, Rogelio; Fontenot, Kayla

doi:10.1007/s12061-010-9046-4

Cited by 21 publications

(16 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Poverty rates have been persistently higher for decades in the Southern United States, particularly in the borderland of Texas and Lower Mississippi Delta (hereafter referred to as ‘poverty hot‐spots’), compared to other parts of the United States (Poston et al. ). The recent increase in the US poverty rate and the persistently higher poverty rates in the Southern United States have revitalized interest in understanding whether government programmes have been effective in reducing the poverty rate.…”

Section: Introductionmentioning

confidence: 99%

The impact of government funding of poverty reduction programmes

Jung

Cho

Roberts

2015

Papers in Regional Science

View full text Add to dashboard Cite

This research evaluates the impacts on poverty rates of government funds for education, health and hospitals, and public welfare allocated to poverty reduction for counties with persistently high poverty in the Southern United States. Our analysis found that increases in education funding in a poverty hot-spot county reduce the poverty rates of that county and its neighbouring hot-spot counties. We also found that higher health and hospital funding in a hot-spot county is associated with higher poverty rates in neighbouring hot-spot counties and that public welfare funding is not effective in mitigating poverty either within or outside of poverty hot-spots.JEL classification: H75, I32, R58

show abstract

Section: Introductionmentioning

confidence: 99%

The impact of government funding of poverty reduction programmes

Jung

Cho

Roberts

2015

Papers in Regional Science

View full text Add to dashboard Cite

show abstract

“…For example, the negative statistical relationship between percent in-poverty and percent Latino in the Delta-Mississippi region may be due to three factors: the high level and long-term presence of poverty in the area; the low level of Latino concentrations (see Siordia, Panas, & Delgado, 2012); and postKatrina economics in the region. The Lower Mississippi Delta region has experience deep poverty for many decades (Poston, Singelmann, Siordia et al, 2010). It is possible Latinos would not reside in this area unless there is a healthy local labor market.…”

Section: Methodsmentioning

confidence: 99%

Sociospatial inequality: combining multilevel and spatial analysis

Siordia

2013

Journal of Maps

Self Cite

View full text Add to dashboard Cite

The idea that statistical relationships can change over time and space has been around for many centuries. Social scientists began investigating how statistical relationships shift over time, with techniques such as time series analysis, long ago and have only recently begun to explore shifts over geographical space. A map of the USA. mainland that makes use of recent population data to regress a geographically weighted regression is presented to show the reader an instance when a statistical relationship varies as a function of geographical space.

show abstract

“…The labor market ecology perspective further emphasizes the internal, external, and social divisions of labor that represent a structural approach to spatial poverty (Poston et al, ). In Vietnam, this would help to explain why households, even those with relatively high stocks of human capital, for example, high levels of education, and other resources would be less likely to escape poverty in underdeveloped places, for example, rural areas with relatively low levels of economic activities and FDI.…”

Section: Labor Market Ecology: a Multilevel Approach To Understandingmentioning

confidence: 99%

Escaping Poverty in Post‐Socialist Vietnam: Does Place Matter?

Sanders

Brown

2014

Poverty & Public Policy

View full text Add to dashboard Cite

Over the past two decades, Vietnam has exhibited remarkable success in eliminating poverty. In fact, since 1999 Vietnam had the highest percentage point reduction of households living in poverty of any country in Asia. Between 2004 and 2008, the period focused on in this article, the Vietnamese national poverty rate fell from 21 to 12 percent. Although Vietnam experienced a dramatic overall reduction in poverty, poverty levels remain spatially uneven. Provinces with large amounts of foreign investments report significantly higher levels of poverty reduction than economically isolated rural provinces. This article focuses on both temporal change and geographic variability in household poverty reduction. Using paneled household data, a series of multilevel logistic regressions are used to examine why some households are more likely to escape poverty than others, and whether a household's place of residence contributes to its likelihood of escaping poverty. We address two questions: (1) controlling for household‐level sociodemographic factors, does the geographic location in which a household is embedded affect its likelihood of escaping poverty, and (2) does the interaction between household characteristics and provincial‐level changes in foreign direct investment per capita between 2001 and 2008 affect the probability of a household escaping poverty during this time?

show abstract

Spatial Context and Poverty: Area-Level Effects and Micro-Level Effects on Household Poverty in the Texas Borderland & Lower Mississippi Delta: United States, 2006

Cited by 21 publications

References 44 publications

The impact of government funding of poverty reduction programmes

The impact of government funding of poverty reduction programmes

Sociospatial inequality: combining multilevel and spatial analysis

Escaping Poverty in Post‐Socialist Vietnam: Does Place Matter?

Contact Info

Product

Resources

About