scholarly journals Rural versus Urban Areas and the Supplemental Nutrition Assistance Program

2019 ◽  
Vol 49 (3) ◽  
pp. 538-557
Author(s):  
Senal A. Weerasooriya ◽  
Jeffrey J. Reimer
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Supplemental Nutrition Assistance Program ◽  
Economic Sectors ◽  
Supplemental Nutrition ◽  
Assistance Program ◽  
Rural And Urban Areas ◽  
Goods And Services ◽  
Rural And Urban ◽  
Nutrition Assistance

AbstractThis study quantifies how spending changes induced by the Supplemental Nutrition Assistance Program (SNAP) affects production and employment in rural and urban areas. A general equilibrium simulation model with an estimated demand system is first used to project how SNAP affects spending on different goods and services. These impacts are then linked to the expansion and contraction of different economic sectors that differ in importance across rural and urban Oregon. In urban areas, a number of service sectors linked to higher-income households shrink slightly in response to SNAP, while food-related sectors expand; the net effect on jobs is slightly negative. Production changes in rural areas are generally smaller, while having a slightly positive net effect on jobs. Overall, SNAP makes a positive difference for low- or no-income households without strong effects elsewhere in the economy.

Predictors of Supplemental Nutrition Assistance Program Use at Farmers’ Markets With Monetary Incentive Programming

2019 ◽  
Vol 33 (7) ◽  
pp. 1039-1048 ◽  
Author(s):  
Darcy A. Freedman ◽  
David Ngendahimana ◽  
En-Jung Shon ◽  
Kathryn Merritt ◽  
Julia Pon
Keyword(s):  
Program Implementation ◽  
Rural Areas ◽  
Monetary Incentive ◽  
Supplemental Nutrition Assistance Program ◽  
Farmers Markets ◽  
Hierarchical Regression ◽  
Supplemental Nutrition ◽  
Assistance Program ◽  
Incentive Program ◽  
Nutrition Assistance

Purpose: Healthy food incentive program implementation targeting people receiving Supplemental Nutrition Assistance Program (SNAP) benefits is supported by the federal Food Insecurity Nutrition Incentive (FINI) grant program. This study examined factors contributing to increased SNAP use at farmers’ markets with an FINI-funded incentive program. Design: Implementation evaluation. Setting: Sixteen states and District of Columbia. Participants: Two hundred eighty-two FINI-funded farmers’ markets open in 2016. Measures: Weekly SNAP sales and transactions per 1000 SNAP households in the Zip Code Tabulation Areas around markets. Analysis: Two-level hierarchical regression modeling. Results: Most farmers’ markets (53%) had less than 100 SNAP transactions in 2016. Weekly SNAP sales and transactions per 1000 SNAP households were 69.9% and 47.7% higher, respectively, if more than 1 incentive was available versus 1. Not having paid market staff resulted in declines in these sales (−34.3%) and transactions (−38.1%) compared to markets with paid staff. There was a 6.2% and 5.1% increase in SNAP sales and transactions for each additional produce vendor. Weekly SNAP sales and transactions were about 2 to 3 times higher in rural areas compared to metropolitan. Clustering of markets within states explained 10% of the variation in weekly SNAP sales and transactions. Conclusion: Four implementation factors were identified that may facilitate the reach of SNAP-based monetary incentive programs at farmers’ markets to maximize reach and impact among SNAP shoppers.

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”

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.

scholarly journals Does Supplemental Nutrition Assistance Program Reduce Food Insecurity among Households with Children? Evidence from the Current Population Survey

2021 ◽  
Vol 18 (6) ◽  
pp. 3178
Author(s):  
Jun Zhang ◽  
Yanghao Wang ◽  
Steven T. Yen
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Current Population Survey ◽  
Population Survey ◽  
Supplemental Nutrition Assistance Program ◽  
Supplemental Nutrition ◽  
Assistance Program ◽  
Current Population ◽  
Households With Children ◽  
Nutrition Assistance

The Supplemental Nutrition Assistance Program (SNAP) is designed to improve household diet and food security—a pressing problem confronting low-income families in the United States. Previous studies on the issue often ignored the methodological issue of endogenous program participation. We revisit this important issue by estimating a simultaneous equation system with ordinal household food insecurity. Data are drawn from the 2009–2011 Current Population Survey Food Security Supplement (CPS-FSS), restricted to SNAP-eligible households with children. Our results add to the stocks of empirical findings that SNAP participation ameliorates food insecurity among adults only, but increases the probabilities of low and very low food security among children. These contradictory results indicate that our selection approach with a single cross section is only partially successful, and that additional efforts are needed in further analyses of this complicated issue, perhaps with longitudinal data. Socio-demographic variables are found to affect food-secure households and food-insecure households differently, but affect SNAP nonparticipants and participants in the same direction. The state policy tools, such as broad-based categorical eligibility (BBCE) and simplified reporting, can encourage SNAP participation and thus ameliorate food insecurity. Our findings can inform policy deliberations.

Predictors of Farmers’ Market Shopping among People Receiving Supplemental Nutrition Assistance Program Benefits

2018 ◽  
Vol 61 (3-4) ◽  
pp. 488-499 ◽  
Author(s):  
Darcy A. Freedman ◽  
Eunlye Lee ◽  
Punam Ohri-Vachaspati ◽  
Erika Trapl ◽  
Elaine Borawski ◽  
...  
Keyword(s):  
Supplemental Nutrition Assistance Program ◽  
Supplemental Nutrition ◽  
Assistance Program ◽  
Farmers Market ◽  
Program Benefits ◽  
Nutrition Assistance

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).

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