Long-Term Trends in Rural and Urban Poverty: New Insights Using a Historical Supplemental Poverty Measure

2017 ◽  
Vol 672 (1) ◽  
pp. 123-142 ◽  
Author(s):  
Laura B. Nolan ◽  
Jane Waldfogel ◽  
Christopher Wimer
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Urban Poverty ◽  
Strong Relationship ◽  
The United States ◽  
Poverty Measure ◽  
Rural And Urban Areas ◽  
Urban America ◽  
Rural And Urban ◽  
Dramatic Decline

Poverty has a strong relationship to geography in the United States. Previous research has found that rural areas have higher average poverty rates than urban areas, but the new supplemental poverty measure (SPM) has shown in recent years that urban areas have higher average poverty. In this article, we analyze poverty trends from 1967 to 2014 in rural and urban America, using the improved SPM metrics. We find a dramatic decline in poverty in rural areas, and also show that the geographic adjustment of the poverty threshold in the SPM (which lowers poverty thresholds in less expensive areas and raises them in more expensive areas) is an important explanatory factor. We also find that changes in the demographic and economic characteristics of rural and urban residents help to explain the decline. Last, we investigate whether migration of the poor between rural and urban areas helps to account for differential poverty trends, but we find little evidence in support of that hypothesis.

Rural Child Maltreatment: A Scoping Literature Review

2020 ◽  
pp. 152483802091559 ◽  
Author(s):  
Kathryn Maguire-Jack ◽  
Brooke Jespersen ◽  
Jill E. Korbin ◽  
James C. Spilsbury
Keyword(s):  
United States ◽  
Child Maltreatment ◽  
Literature Review ◽  
Rural Areas ◽  
Urban Areas ◽  
The United States ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Scoping Literature Review ◽  
Research Studies

Topic of Review: The current study sought to review the state of existing knowledge on rural maltreatment. Method of Review: We conducted a scoping literature review to answer two research questions: (1) Is maltreatment higher in rural areas compared to urban areas? and 2) Are there unique correlates of maltreatment in rural areas? Number of Research Studies Meeting the Criteria for Review: This review included studies that compared child maltreatment in rural and urban areas in the United States (9) and predictors of maltreatment in rural areas (7). Criteria for Inclusion: Studies that compared child maltreatment in rural and urban areas in the United States were included. For our second research question, related to understanding maltreatment in rural areas, we included those studies that exclusively examined rural areas, when maltreatment was the outcome variable. How Research Studies Were Identified: Studies were reviewed from relevant databases ( Annual Reviews, PsychINFO, PubMed, Web of Science) between 1975 and 2019. Major Findings: Findings were mixed on whether rates of maltreatment were higher or lower in rural areas. While five studies reported higher rates of maltreatment in rural areas, four reported higher rates in urban areas. Overall, child maltreatment rates tended to be higher in urban areas among people of color and higher in rural areas among White people. One study found that community economic factors were not related to maltreatment in a rural area, in stark contrast to robust findings from urban areas.

Roundabouts in the United States: An International Comparison of Illuminance Requirements and Costs

2021 ◽  
pp. 036119812110028
Author(s):  
Franklin E. Gbologah ◽  
Simon Berrebi ◽  
Angshuman Guin ◽  
Michael O. Rodgers
Keyword(s):  
United States ◽  
Rural Areas ◽  
Urban Areas ◽  
The United States ◽  
Lighting Design ◽  
Rural And Urban Areas ◽  
The United Kingdom ◽  
Rural And Urban ◽  
Federal Guidelines ◽  
Illumination Models

United States federal guidelines recommend systematic illumination of roundabouts in both rural and urban areas. However, competing conventional intersections in rural areas can be kept unlit. Highway illumination is also a major contributor to intersection operating and maintenance costs. This paper reviews roundabout illumination policies from 44 countries to determine if systematic illumination is normal practice and if not, to identify the warranting conditions. In addition, this paper compares the illumination level requirements and implied costs for three reference U.S. rural roundabouts with their equivalents from 15 selected countries. Professional lighting design software, DIALux®, was used to build roundabout illumination models corresponding to the recommended illuminances in the study countries and the simulation outputs were converted into annual operating costs to facilitate the comparisons. The findings indicate that most countries (approximately 59%) do not require systematic illumination of roundabouts in rural areas. While a few countries (approximately 16%) do attempt to illuminate all roundabouts it is more common to find such a requirement in urban areas. The study also finds that the average minimum maintained illuminance is higher in the U.S.A. than in Europe and the United Kingdom. However, the U.S. tax payer pays significantly less than their counterparts in the other countries studied. These findings are significant because the desired proliferation of roundabouts in the U.S.A. would receive a significant boost if the U.S.A. were to adopt lower illuminance levels, a non-systematic illumination policy, or both, for rural roundabouts.

scholarly journals Rural-urban differences in the labor-force impacts of COVID-19 in the United States

2021 ◽  
Author(s):  
Matthew M Brooks ◽  
Tom Mueller ◽  
Brian C. Thiede
Keyword(s):  
United States ◽  
Labor Force ◽  
Urban Areas ◽  
State Level ◽  
The United States ◽  
Rural Workers ◽  
Rural And Urban Areas ◽  
Urban America ◽  
Rural And Urban ◽  
Using Data

COVID-19 has had dramatic impacts on economic outcomes across the United States, yet most research on the pandemic has had a national or urban focus. We overcome this limitation using data from the U.S. Current Population Survey’s COVID-19 supplement to study pandemic-related labor force outcomes from May through December of 2020 in rural and urban areas. We find the pandemic has generally had a more severe labor force impact on urban residents than their rural counterparts. Urban adults were more likely to be unable to work, not paid for missed hours, and be unable to look for work due to COVID-19. However, rural workers were less likely to be able to work remotely than urban workers. These differences persist even when adjusting estimates for demographic composition and state-level policies, suggesting rural-urban differences in the COVID-19 experience cannot be explained by well-known demographic and political differences between rural and urban America.

scholarly journals Rural EMR adoption rates overtake those in urban areas

2015 ◽  
Vol 22 (2) ◽  
pp. 399-408 ◽  
Author(s):  
Brian E. Whitacre
Keyword(s):  
United States ◽  
Rural Areas ◽  
Urban Areas ◽  
National Level ◽  
State Level ◽  
The United States ◽  
Physician Practices ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Emr Adoption

Abstract Objective To assess rural-urban differences in electronic medical record (EMR) adoption among office-based physician practices in the United States. Methods Survey data on over 270 000 office-based physician sites (representing over 1 280 000 physicians) in the United States from 2012 was used to assess differences in EMR adoption rates among practices in rural and urban areas. Logistic regression tests for differences in the determinants of EMR adoption by geography, and a nonlinear decomposition is used to quantify how much of the rural-urban gap is due to differences in measureable characteristics (such as type of practice or affiliation with a health system). Results Overall EMR adoption rates were significantly higher for practices in rural areas (56%) vs those in urban areas (49%) in 2012 (P < 0.001). Twenty-nine states had statistically significantly different adoption rates between rural and urban areas, with only two states demonstrating higher rates in urban areas. EMR adoption continues to be higher for primary care practices when compared to specialists (51% vs 49%, P < 0.001), and state-level rural-urban differences in adoption are more pronounced for specialists. The decomposition technique finds that only 14% of the rural-urban gap can be explained by differences in measurable characteristics between practices. Conclusions At the national level, rates of EMR adoption are higher for rural practices than for their urban counterparts, reversing earlier trends. This suggests that outreach efforts, namely the Regional Extension Centers created by the Office of the National Coordinator, have been particularly effective in increasing EMR adoption in rural areas.

TURNING FARMERS INTO SOCIAL FARMER ENTREPRENEURS FOR DISADVANTAGED PEOPLE

2020 ◽  
Author(s):  
Remus Runcan
Keyword(s):  
Rural Communities ◽  
Low Income ◽  
Rural Areas ◽  
Urban Areas ◽  
Health And Safety ◽  
Physical Work ◽  
Healthy Environment ◽  
Rural And Urban Areas ◽  
Rural Development Programme ◽  
Rural And Urban

According to Romania’s National Rural Development Programme, the socio-economic situation of the rural environment has a large number of weaknesses – among which low access to financial resources for small entrepreneurs and new business initiatives in rural areas and poorly developed entrepreneurial culture, characterized by a lack of basic managerial knowledge – but also a large number of opportunities – among which access of the rural population to lifelong learning and entrepreneurial skills development programmes and entrepreneurs’ access to financial instruments. The population in rural areas depends mainly on agricultural activities which give them subsistence living conditions. The gap between rural and urban areas is due to low income levels and employment rates, hence the need to obtain additional income for the population employed in subsistence and semi-subsistence farming, especially in the context of the depopulation trend. At the same time, the need to stimulate entrepreneurship in rural areas is high and is at a resonance with the need to increase the potential of rural communities from the perspective of landscape, culture, traditional activities and local resources. A solution could be to turn vegetal and / or animal farms into social farms – farms on which people with disabilities (but also adolescents and young people with anxiety, depression, self-harm, suicide, and alexithymia issues) might find a “foster” family, bed and meals in a natural, healthy environment, and share the farm’s activities with the farmer and the farmer’s family: “committing to a regular day / days and times for a mutually agreed period involves complying with any required health and safety practices (including use of protective clothing and equipment), engaging socially with the farm family members and other people working on and around the farm, and taking on tasks which would include working on the land, taking care of animals, or helping out with maintenance and other physical work”

The Rural-Urban Continuum of Polarization: Understanding the Geography of the 2018 Midterms

The Forum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Kenneth M. Johnson ◽  
Dante J. Scala
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Metropolitan Areas ◽  
Political Attitudes ◽  
The United States ◽  
Rural America ◽  
Rural Regions ◽  
Urban America ◽  
Urban And Rural Areas ◽  
The Continuum

Abstract This study of the 2018 congressional midterms demonstrates how voting patterns and political attitudes vary across a spectrum of urban and rural areas in the United States. Rural America is no more a monolith than is urban America. The rural-urban gradient is better represented by a continuum than a dichotomy. This is evident in the voting results in 2018, just as it was in 2016. We found that the political tipping point lies beyond major metropolitan areas, in the suburban counties of smaller metropolitan areas. Democrats enjoyed even greater success in densely populated urban areas in 2018 than in 2016. Residents of these urban areas display distinctive and consistent social and political attitudes across a range of scales. At the other end of the continuum in remote rural areas, Republican candidates continued to command voter support despite the challenging national political environment. Voters in these rural regions expressed social and political attitudes diametrically opposed to their counterparts in large urban cores.

scholarly journals Urban–rural disparity in cancer incidence in China, 2008–2012: a cross-sectional analysis of data from 36 cancer registers

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e042762
Author(s):  
Shuai Yuan ◽  
Shao-Hua Xie
Keyword(s):  
Cancer Incidence ◽  
Rural Areas ◽  
Urban Areas ◽  
Incidence Rates ◽  
Cancer Type ◽  
Anatomic Site ◽  
Cross Sectional ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Urban Rural

ObjectiveThe substantial differences in socioeconomic and lifestyle exposures between urban and rural areas in China may lead to urban–rural disparity in cancer risk. This study aimed to assess the urban–rural disparity in cancer incidence in China.MethodsUsing data from 36 regional cancer registries in China in 2008–2012, we compared the age-standardised incidence rates of cancer by sex and anatomic site between rural and urban areas. We calculated the rate difference and rate ratio comparing rates in rural versus urban areas by sex and cancer type.ResultsThe incidence rate of all cancers in women was slightly lower in rural areas than in urban areas, but the total cancer rate in men was higher in rural areas than in urban areas. The incidence rates in women were higher in rural areas than in urban areas for cancers of the oesophagus, stomach, and liver and biliary passages, but lower for cancers of thyroid and breast. Men residing in rural areas had higher incidence rates for cancers of the oesophagus, stomach, and liver and biliary passages, but lower rates for prostate cancer, lip, oral cavity and pharynx cancer, and colorectal cancer.ConclusionsOur findings suggest substantial urban–rural disparity in cancer incidence in China, which varies across cancer types and the sexes. Cancer prevention strategies should be tailored for common cancers in rural and urban areas.

Relating Household Consumption Expenditures to Road Traffic Fatalities: A Rural–Urban Study

2021 ◽  
pp. 036119812110332
Author(s):  
Ruchika Agarwala ◽  
Vinod Vasudevan
Keyword(s):  
Developing Countries ◽  
Traffic Safety ◽  
Rural Areas ◽  
Urban Areas ◽  
Household Consumption ◽  
Household Expenditure ◽  
Traffic Fatality ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
The Relationship

Research shows that traffic fatality risk is generally higher in rural areas than in urban areas. In developing countries, vehicle ownership and investments in public transportation typically increase with economic growth. These two factors together increase the vehicle population, which in turn affects traffic safety. This paper presents a study focused on the relationship of various factors—including household consumption expenditure data—with traffic fatality in rural and urban areas and thereby aims to fill some of the gaps in the literature. One such gap is the impacts of personal and non-personal modes of travel on traffic safety in rural versus urban areas in developing countries which remains unexplored. An exhaustive panel data modeling approach is adopted. One important finding of this study is that evidence exists of a contrasting relationship between household expenditure and traffic fatality in rural and urban areas. The relationship between household expenditure and traffic fatality is observed to be positive in rural areas and a negative in urban areas. Increases in most expenditure variables, such as fuel, non-personal modes of travel, and two-wheeler expenditures, are found to be associated with an increase in traffic fatality in rural areas.

Komparácia pro-poor rastu vo vidieckych a mestských oblastiach Indonézie

2021 ◽  
Author(s):  
Barbora Frličková
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Poor People ◽  
Average Income ◽  
Poor Growth ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Poverty And Inequality ◽  
Partial Period ◽  
Urban And Rural Areas

The paper analyses construction and use of a selected indicator of pro-poor growth – the rate of pro-poor growth. It further explains the interpretation of this indicator in absolute and relative terms and indicates how economic growth affects poverty and inequality. The selected indicator is applied to the example of Indonesia and compares pro-poor growth in urban and rural areas of the country, examines regional disparities in terms of pro-poor growth for the period 1996–2019. From the absolute interpretation, pro-poor growth is observed in both urban and rural areas over the whole period. In relative terms, results of pro-poor growth for the first partial period (1996–2000) differ. While there was a relative pro-poor growth in the rural areas, there was a strong pro-poor growth in the cities with a significant decline in inequality observed (incomes of poor people increased while the average income of the whole population dropped). Indonesia achieved trickle-down growth in both rural and urban areas in two remaining periods (2000–2010 and 2010–2019).

scholarly journals The Quality of Life of Coronavirus Disease Survivors Living in Rural and Urban Area of Riau Province, Indonesia

2022 ◽  
Vol 14 (1) ◽  
pp. 33-42
Author(s):  
Suyanto Suyanto ◽  
Shashi Kandel ◽  
Rahmat Azhari Kemal ◽  
Arfianti Arfianti
Keyword(s):  
Quality Of Life ◽  
Rural Areas ◽  
Urban Areas ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
The Status ◽  
Rural And Urban Area

This study assesses the status of health-related quality of life (HRQOL) among coronavirus survivors living in rural and urban districts in Riau province, Indonesia. The cross-sectional study was conducted among 468 and 285 Coronavirus disease (COVID-19) survivors living in rural and urban areas, respectively in August 2021. The St. George Respiratory Questionnaire (SGRQ) was used to measure the HRQOL of COVID-19 survivors. A higher total score domain corresponds to worse quality of life status. Quantile regression with the respect to 50th percentile found a significant association for the factors living in rural areas, being female, having comorbidities, and being hospitalized during treatment, with total score of 4.77, 2.43, 7.22, and 21.27 higher than in their contra parts, respectively. Moreover, having received full vaccination had the score 3.96 in total score. The HRQOL of COVID-19 survivors living in rural areas was significantly lower than in urban areas. Factors such as living in rural areas, female sex, having comorbidities, and history of symptomatic COVID-19 infection were identified as significant predictors for lower quality of life. Meanwhile, having full vaccination is a significant predictor for a better quality of life. The results of this study can provide the targeted recommendations for improvement of HRQOL of COVID-19 survivors.

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