scholarly journals Poverty Suburbanization: Theoretical Insights and Empirical Analyses

2015 ◽  
Vol 3 (2) ◽  
pp. 71-90 ◽  
Author(s):  
Kenya L. Covington
Keyword(s):  
Residential Segregation ◽  
Metropolitan Areas ◽  
Housing Affordability ◽  
Factors Associated ◽  
Urban Political Economy ◽  
Urban Core ◽  
The Poor ◽  
Percentage Points ◽  
Major Metropolitan Area ◽  
Growth And Change

Today almost every major metropolitan area in the U.S. has experienced rising poverty at a rate that surpasses its urban core (Kneebone & Berube, 2013, p. 2). Poverty suburbanization has accelerated about 3.3 percentage points over the last decade. In this article, factors associated with the growing share of poor in suburbs in the 100 largest metropolitan areas were examined. The analysis sought to address the overarching question: what metropolitan factors are associated with poverty suburbanization? Poverty suburbanization growth rates and temporal changes in metropolitan level factors for 2000 and 2008 are highlighted. Change regression results reveal important macro level and within suburb effects illuminating recent changes in the spatial distribution of the poor. Positive changes in housing affordability appear to open up access to suburban neighborhoods, while metropolitan job decentralization and residential segregation have countervailing effects on the suburbanization of the poor. Findings from this paper suggest that it is appropriate to place the suburbanization of poverty in the contemporary period within an urban political economy framework of urban growth and change.

Zoning and affordability: A reply to Rodríguez-Pose and Storper

Urban Studies ◽  
2020 ◽  
pp. 004209802091033 ◽  
Author(s):  
Michael Manville ◽  
Michael Lens ◽  
Paavo Monkkonen
Keyword(s):  
Land Use ◽  
Metropolitan Areas ◽  
Housing Prices ◽  
Housing Affordability ◽  
Housing Construction ◽  
Land Use Regulation ◽  
Housing Production ◽  
Housing Density ◽  
The Poor ◽  
Housing Outcomes

Would increasing allowable housing densities in expensive cities generate more housing construction and make housing more affordable? In a provocative article, Andrés Rodríguez-Pose and Michael Storper survey the evidence and answer no. Restrictions on housing density, they contend, do not substantially influence housing production or price. They further argue that allowing more density in growing metropolitan areas would only improve housing outcomes for the affluent, and most likely harm the poor. We take issue with both of these contentions. While uncertainties remain in the study of housing prices and land use regulation, neither theory nor evidence warrant dispensing with zoning reform, or concluding that it could only be regressive. Viewed in full, the evidence suggests that increasing allowable housing densities is an important part of housing affordability in expensive regions.

scholarly journals Factors Associated with Poor Glycemic Control Amongst Rural Residents with Diabetes in Korea

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 391
Author(s):  
Junhee Ahn ◽  
Youngran Yang
Keyword(s):  
Physical Activity ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Fasting Blood Glucose ◽  
Regular Physical Activity ◽  
Poor Glycemic Control ◽  
Rural Residents ◽  
Factors Associated ◽  
The Poor ◽  
Positive Urine

(1) Background: Glycemic control is an effective way to reduce the cardiovascular complications of diabetes. The purpose of this study was to identify the factors associated with poor glycemic control amongst rural residents with diabetes in Korea. (2) Methods: This cross-sectional analysis was conducted amongst a total of 522 participants who had completed baseline health examinations for the Korean Genome and Epidemiology Study (KoGES) Rural Cohort from 2005 to 2011. The subjects were divided into two groups: the good glycemic control group (GCG) (glycosylated hemoglobin (HbA1C) < 7%) and the poor GCG (HbA1C ≥ 7%). Logistic regression was used to examine the role of sociodemographics, health-related behavior, comorbidity and diabetes-related and clinical factors in poor glycemic control amongst rural residents with diabetes. (3) Results: In total, 48.1% of participants were in the poor GCG. Poor GCG was significantly associated with drinking (odds ratio (OR) = 0.42, 95% CI = 0.24–0.71), lack of regular physical activity (OR = 1.68, 95% CI = 1.03–2.76), fasting blood glucose (FBG) > 130 mg/dL (OR = 7.80, 95% CI = 4.35–13.98), diabetes for > 7 years (OR = 1.79, 95% CI = 1.08–2.98), cholesterol ≥ 200 mg/dL (OR = 1.73, 95% CI = 1.05–2.84) and positive urine glucose (OR = 6.24, 95% CI = 1.32–29.44). (4) Conclusion: Intensive glucose control interventions should target individuals amongst rural residents with diabetes who do not engage in regular physical activity, have been diagnosed with diabetes for more than seven years and who have high fasting-blood glucose, high cholesterol levels and glucose-positive urine.

scholarly journals Time versus State in Insurance: Experimental Evidence from Contract Farming in Kenya

2018 ◽  
Vol 108 (12) ◽  
pp. 3778-3813 ◽  
Author(s):  
Lorenzo Casaburi ◽  
Jack Willis
Keyword(s):  
Crop Insurance ◽  
Counterparty Risk ◽  
Harvest Time ◽  
Contract Farming ◽  
Present Bias ◽  
The Poor ◽  
Percentage Points ◽  
Randomized Control ◽  
The Difference

The gains from insurance arise from the transfer of income across states. Yet, by requiring that the premium be paid up front, standard insurance products also transfer income across time. We show that this intertemporal transfer can help explain low insurance demand, especially among the poor, and in a randomized control trial in Kenya we test a crop insurance product which removes it. The product is interlinked with a contract farming scheme: as with other inputs, the buyer of the crop offers the insurance and deducts the premium from farmer revenues at harvest time. The take-up rate for pay-at-harvest insurance is 72 percent, compared to 5 percent for the standard pay-up-front contract, and the difference is largest among poorer farmers. Additional experiments and outcomes provide evidence on the role of liquidity constraints, present bias, and counterparty risk, and find that enabling farmers to commit to pay the premium just 1 month later increases demand by 21 percentage points. (JEL G22, I32, O13, O16, Q12, Q14)

De Quervain’s Disease

2000 ◽  
Vol 25 (1) ◽  
pp. 65-69 ◽  
Author(s):  
N. R. M. KAY
Keyword(s):  
De Quervain’S Disease ◽  
Factors Associated ◽  
The Poor ◽  
First Extensor Compartment ◽  
Extensor Compartment

The basic anatomy of the first extensor compartment is presented with a review of the pathology of de Quervain’s stenosing tenovaginitis. The results in 100 medicolegal cases of de Quervain’s disease are analysed and reasons are sought for the poor results. A review of the known factors associated with the causation of de Quervain’s disease is presented with recommendations about the management of this condition.

Residential Segregation and Ethnic Enterprise in U.S. Metropolitan Areas

2000 ◽  
Vol 47 (3) ◽  
pp. 408-424 ◽  
Author(s):  
Mary J. Fischer ◽  
Douglas S. Massey
Keyword(s):  
Residential Segregation ◽  
Metropolitan Areas

scholarly journals Trisomy 11 as an Additional Chromosome Alteration in a Child with Acute Promyelocytic Leukemia with Poor Prognosis

2012 ◽  
Vol 2012 ◽  
pp. 1-4
Author(s):  
Elenice Ferreira Bastos ◽  
Lidiane Alice Silva ◽  
Marcelo Coelho Ramos ◽  
Glicínia Pimenta ◽  
Paulo Ivo Cortez ◽  
...  
Keyword(s):  
Prognostic Significance ◽  
Good Prognosis ◽  
Promyelocytic Leukemia ◽  
Response To Treatment ◽  
Chromosome 11 ◽  
Molecular Cytogenetic ◽  
Factors Associated ◽  
The Poor ◽  
Additional Chromosome ◽  
Chromosome Alteration

The prognostic significance of the additional abnormalities to the t(15; 17) remains controversial. We report a case of promyelocytic leukemia (APL) in a ten-year-old boy. Classical and molecular cytogenetic (FISH) studies of a bone marrow sample obtained at diagnosis revealed the presence of trisomy of chromosome 11 as an additional chromosomal abnormality to the t(15; 17). The presence of the translocation t(15; 17), the cytogenetic marker of APL, is usually associated with good response to treatment with ATRA. In this case, although the patient had risk factors associated with good prognosis, he evolved and died quickly. So it seems that the presence of the trisomy 11 may be associated with disease progression and the poor outcome. To our knowledge, this is the first reported case of t(15; 17) associated with trisomy of chromosome 11 in a child with APL.

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