Residential mobility and the geography of low-income households

Urban Studies ◽  
2020 ◽  
pp. 004209802092212 ◽  
Author(s):  
Andrew Schouten
Keyword(s):  
Urban Communities ◽  
Low Income ◽  
Urban Areas ◽  
Central City ◽  
Panel Study ◽  
Suburban Communities ◽  
Household Resources ◽  
Suburban Poverty ◽  
Using Data ◽  
Low Income Households

In contrast to the traditional image of suburban communities as stable and secure enclaves surrounding a more volatile urban core, scholars have noted considerable increases in suburban poverty over the past several decades. Using data from the Panel Study of Income Dynamics (PSID) from 1999 to 2015 and a seven-category neighbourhood typology, this analysis seeks to better understand the growing economic distress of suburban areas in two stages: first by examining the degree to which low-income residents have left urban communities for suburban neighbourhoods; and second by identifying the types of low-income households that have made urban-to-suburban moves. Results show that although low-income households rapidly suburbanised during the study period, higher-income households left urban areas for suburban neighbourhoods at nearly the same rate. This finding suggests that while the overall number of economically disadvantaged residents in the suburbs has grown, population flows have had only a modest impact on the income composition of suburban neighbourhoods. Results also highlight important differences between low-income households that suburbanised during the study period and those that remained in urban communities. In particular, urban-to-suburban movers were more likely to be white, had more household resources and lived in origin neighbourhoods with fewer urban characteristics than the origin neighbourhoods of those who relocated within central-city areas.

scholarly journals Closing the Digital Divide in Low-Income Urban Communities: A Domestication Approach

10.28945/3885 ◽  
2017 ◽  
Vol 13 ◽  
pp. 117-142 ◽  
Author(s):  
Patrick Kanyi Wamuyu
Keyword(s):  
Urban Communities ◽  
Digital Divide ◽  
Low Income ◽  
Digital Literacy ◽  
Urban Areas ◽  
Internet Access ◽  
The Internet ◽  
Digital Inclusion ◽  
Marginalized Communities ◽  
Low Income Households

Aim/Purpose: Significant urban digital divide exists in Nairobi County where low income households lack digital literacy skills and do not have access to the internet. The study was undertaken as an intervention, designed to close the digital divide among low income households in Nairobi by introducing internet access using the domestication framework. Background: Information and Communication Technologies (ICTs) have the potential to help reduce social inequality and have been hailed as critical to the achievement of the Sustainable Development goals (SDGs). Skills in use of ICTs have also become a prerequisite for almost all forms of employment and in accessing government services, hence, the need for digital inclusion for all. Methodology: In this research study, I employed a mixed methods approach to investigate the problem. This was achieved through a preliminary survey to collect data on the existence of urban digital divide in Nairobi and a contextual analysis of the internet domestication process among the eighteen selected case studies. Contribution: While there have been many studies on digital divide between Africa and the rest of the world, within the African continent, among genders and between rural and urban areas at national levels, there are few studies exploring urban digital divide and especially among the marginalized communities living in the low-income urban areas. Findings: Successful domestication of internet and related technologies was achieved among the selected households, and the households appreciated the benefits of having and using the internet for the first time. A number of factors that impede use of internet among the marginalized communities in Nairobi were also identified. Recommendations for Practitioners: In the study, I found that use of differentiated costs internet services targeting specific demographic groups is possible and that use of such a service could help the marginalized urban communities’ access the internet. Therefore, ISPs should offer special internet access packages for the low-income households. Recommendation for Researchers: In this research study, I found that the urban digital divide in Nairobi is an indication of social economic development problems. Therefore, researchers should carryout studies involving multipronged strategies to address the growing digital divide among the marginalized urban communities. Impact on Society: The absence of an Information and Communication Technology (ICT) inclusion policy is a huge setback to the achievement of the SDGs in Kenya. Digital inclusion policies prioritizing digital literacy training, universal internet access and to elucidate the social-economic benefits of internet access for all Kenyans should be developed. Future Research: Future studies should explore ways of providing affordable mass internet access solutions among the residents of low-income communities and in eliminating the persistence urban digital divide in Kenya.

scholarly journals Adapting the Community-based Health Planning and Services (CHPS) to engage poor urban communities in Ghana: protocol for a participatory action research study

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e049564
Author(s):  
Mary Abboah-Offei ◽  
Akosua Gyasi Darkwa ◽  
Andrews Ayim ◽  
Adelaide Maria Ansah-Ofei ◽  
Delanyo Dovlo ◽  
...  
Keyword(s):  
Action Research ◽  
Participatory Action Research ◽  
Urban Communities ◽  
Low Income ◽  
Urban Areas ◽  
Health Planning ◽  
Phase 1 ◽  
Participatory Action ◽  
Community Based ◽  
Key Stakeholders

IntroductionWith rapid urbanisation in low-income and middle-income countries, health systems are struggling to meet the needs of their growing populations. Community-based Health Planning and Services (CHPS) in Ghana have been effective in improving maternal and child health in rural areas; however, implementation in urban areas has proven challenging. This study aims to engage key stakeholders in urban communities to understand how the CHPS model can be adapted to reach poor urban communities.Methods and analysisA Participatory Action Research (PAR) will be used to develop an urban CHPS model with stakeholders in three selected CHPS zones: (a) Old Fadama (Yam and Onion Market community), (b) Adedenkpo and (c) Adotrom 2, representing three categories of poor urban neighbourhoods in Accra, Ghana. Two phases will be implemented: phase 1 (‘reconnaissance phase) will engage and establish PAR research groups in the selected zones, conduct focus groups and individual interviews with urban residents, households vulnerable to ill-health and CHPS staff and key stakeholders. A desk review of preceding efforts to implement CHPS will be conducted to understand what worked (or not), how and why. Findings from phase 1 will be used to inform and co-create an urban CHPS model in phase 2, where PAR groups will be involved in multiple recurrent stages (cycles) of community-based planning, observation, action and reflection to develop and refine the urban CHPS model. Data will be managed using NVivo software and coded using the domains of community engagement as a framework to understand community assets and potential for engagement.Ethics and disseminationThis study has been approved by the University of York’s Health Sciences Research Governance Committee and the Ghana Health Service Ethics Review Committee. The results of this study will guide the scale-up of CHPS across urban areas in Ghana, which will be disseminated through journal publications, community and government stakeholder workshops, policy briefs and social media content. This study is also funded by the Medical Research Council, UK.

Urban Homeownership and Mental Health: Mediating Effect of Perceived Sense of Control

2012 ◽  
Vol 11 (4) ◽  
pp. 409-430 ◽  
Author(s):  
Kim R. Manturuk
Keyword(s):  
Mental Health ◽  
Low Income ◽  
Urban Areas ◽  
Regression Models ◽  
Mediating Effect ◽  
Sense Of Control ◽  
Using Data ◽  
The Relationship ◽  
Subjective Trust ◽  
Control Part

What are the mechanisms responsible for homeowners’ better mental health? Social disorganization theory suggests that the relationship between homeownership and mental health is mediated by perceived sense of control, trust in neighbors, and residential stability. This hypothesis is tested using data collected from respondents in 30 low–wealth urban areas. Using propensity score matching and regression models, I find that low–income homeowners report a greater sense of control and trust in their neighbors than comparable renters. Homeownership likewise has an impact on mental health, but the effect is entirely mediated by perceived sense of control. Part of that mediating effect is related to avoiding serious delinquency in mortgage payments. However, subjective trust and residential mobility did not mediate the relationship between homeownership and mental health. The study findings are discussed in light of the need for a cohesive theory of homeownership, particularly given changing economic realities.

scholarly journals Accessibility of summer meals and the food insecurity of low-income households with children

2016 ◽  
Vol 19 (11) ◽  
pp. 2079-2089 ◽  
Author(s):  
Daniel P Miller
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Low Income ◽  
Urban Areas ◽  
California Health Interview Survey ◽  
Lower Probability ◽  
Geographic Accessibility ◽  
Households With Children ◽  
The Impact ◽  
Low Income Households

AbstractObjectiveAlmost no previous research has examined the impact of the US Department of Agriculture’s (USDA) Summer Food Service Program and related Seamless Summer Option, which provide meals and snacks to low-income children over the summer. The present study investigated whether geographic accessibility of summer meals programme sites (a proxy for programme participation) was associated with food insecurity for low-income households.DesignThe study used data from the California Health Interview Survey (CHIS) and administrative data on summer meals sites in California. Geocoding was used to calculate driving time between CHIS households and nearby summer meals sites. Geographic accessibility was measured using a gravity model, which accounted for the spatially distributed supply of and demand for summer meals. Food insecurity and very low food security were measured using a standard six-item measure from the USDA.SubjectsLow-income families with children (n5394).SettingA representative surveillance study of non-institutionalized households in California.ResultsGeographic accessibility was not associated with food insecurity. However, geographic accessibility was associated with a significantly lower probability of very low food security in the full sample and among households with younger children and those living in less urban areas.ConclusionsThe USDA’s summer meals programme may be effective at reducing the most severe form of food insecurity for low-income households with children. Expanding the number of summer meals sites, the number of meals served at sites and sites’ hours of operation may be effective strategies to promote nutritional health over the summer months.

scholarly journals Differential overlap in human and animal fecal microbiomes and resistomes in rural versus urban Bangladesh

2021 ◽  
Author(s):  
Jenna M Swarthout ◽  
Erica R Fuhrmeister ◽  
Latifah Hamzah ◽  
Angela Harris ◽  
Mir A. Ahmed ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Urban Communities ◽  
Resistance Genes ◽  
Low Income ◽  
Urban Areas ◽  
Pathogenic Bacteria ◽  
Small Scale ◽  
Rrna Gene ◽  
Antimicrobial Resistance Genes ◽  
Long Read

Background Low- and middle-income countries (LMICs) bear the largest mortality burden due to antimicrobial-resistant infections. Small-scale animal production and free-roaming domestic animals are common in many LMICs, yet data on zoonotic exchange of gut bacteria and antimicrobial resistance genes (ARGs) in low-income communities are sparse. Differences between rural and urban communities in population density, antibiotic use, and cohabitation with animals likely influence the frequency of transmission of gut bacterial communities and ARGs between humans and animals. Here, we determined the similarity in gut microbiomes, using 16S rRNA gene amplicon sequencing, and resistomes, using long-read metagenomics, between humans, chickens, and goats in rural compared to urban Bangladesh. Results Gut microbiomes were more similar between humans and chickens in rural (where cohabitation is more common) compared to urban areas, but there was no difference for humans and goats. Urbanicity did not impact the similarity of human and animal resistomes; however, ARG abundance was higher in urban animals compared to rural animals. We identified substantial overlap of ARG alleles in humans and animals in both settings. Humans and chickens had more overlapping ARG alleles than humans and goats. All fecal hosts carried ARGs on contigs classified as potentially pathogenic bacteria, including Escherichia coli, Campylobacter jejuni, Clostridiodes difficile, and Klebsiella pneumoniae. Conclusions While the development of antimicrobial resistance in animal gut microbiomes and subsequent transmission to humans has been demonstrated in intensive farming environments and high-income countries, evidence of zoonotic exchange of antimicrobial resistance in LMIC communities is lacking. This research provides genomic evidence of overlap of antimicrobial resistance genes between humans and animals, especially in urban communities, and highlights chickens as important reservoirs of antimicrobial resistance. Chicken and human gut microbiomes were more similar in rural Bangladesh, where cohabitation is more common. Incorporation of long-read metagenomics enabled characterization of bacterial hosts of resistance genes, which has not been possible in previous culture-independent studies using only short-read sequencing. These findings highlight the importance of developing strategies for combatting antimicrobial resistance that account for chickens being reservoirs of ARGs in community environments, especially in urban areas.

scholarly journals From taking money to making money: SPARC, NSDF and Mahila Milan transform low-income shelter options in India

2018 ◽  
Vol 30 (1) ◽  
pp. 85-102 ◽  
Author(s):  
Sheela Patel ◽  
Aseena Viccajee ◽  
Jockin Arputham
Keyword(s):  
Community Development ◽  
Low Income ◽  
Urban Areas ◽  
Urban Poor ◽  
City Development ◽  
New Approach ◽  
Financial Architecture ◽  
Grassroots Groups ◽  
Entrepreneurial Behaviour ◽  
Low Income Households

In India, a new approach to finance has been transforming shelter options for low-income households and supporting community-led development over recent decades. This paper examines the financial architecture developed to support hundreds of community-driven efforts by grassroots groups working in alliance with the Mumbai-based NGO SPARC. Much has been written about this Alliance’s work, but its financial architecture has had little attention. This paper seeks to explain how grants given for grassroots community development in urban areas can produce new forms of entrepreneurial behaviour among the urban poor, showing how they can design and execute large projects with the expertise gained from more modest efforts. It also shows how this Alliance has managed, invested and revolved these grants and other sources of funding, including its own savings, to leverage resources and opportunities for inclusive city development.

The Welfare Effects of Carbon Tax on Chinese Households: A Study Based on the 2013 Chip Survey Data

2021 ◽  
pp. 2050019
Author(s):  
LI Xuehui ◽  
LI Zhi ◽  
WANG Zhengxin
Keyword(s):  
Low Income ◽  
Rural Areas ◽  
Household Income ◽  
Urban Areas ◽  
Carbon Tax ◽  
Rural Households ◽  
High Income ◽  
Cyclic Utilization ◽  
Urban Rural ◽  
Low Income Households

Based on the micro-data from the 2013 Chinese Household Income Project (CHIP) Survey, the authors use a Quadratic Almost Ideal Demand System (QUAIDS) model to simulate and measure the impacts on the welfare of urban and rural households with different incomes after a carbon tax at 50[Formula: see text]RMB/ton was levied in China. The results show that the collection of carbon tax will increase households’ consumer spending to varying degrees. In urban areas, the carbon tax exerts the greatest impact on low-income households, followed by high-income households; while in rural areas, it has the most significant effects on high-income households and the least on low-income households. On the whole, carbon tax’s impact on urban households is greater than that on rural households. To a certain extent, it can help the household income inequality change for the better and narrow the urban–rural income gap. Since the carbon tax does not act on the distribution of Chinese household income in a simply regressive or progressive way, the authors believe that China should implement supporting policies such as tax subsidies or tax refund as supplements to carbon taxation in an effort to establish a mechanism for cyclic utilization of carbon tax revenue.

scholarly journals Household resilience to climate change hazards in Uganda

2020 ◽  
Vol 12 (1) ◽  
pp. 59-73 ◽  
Author(s):  
George Oriangi ◽  
Frederike Albrecht ◽  
Giuliano Di Baldassarre ◽  
Yazidhi Bamutaze ◽  
Paul Isolo Mukwaya ◽  
...  
Keyword(s):  
Climate Change ◽  
Social Networks ◽  
Low Income ◽  
Urban Areas ◽  
Demographic Characteristics ◽  
Household Size ◽  
Social Resilience ◽  
Rainfall Events ◽  
Content Type ◽  
Low Income Households

Purpose As climate change shocks and stresses increasingly affect urban areas in developing countries, resilience is imperative for the purposes of preparation, recovery and adaptation. This study aims to investigate demographic characteristics and social networks that influence the household capacity to prepare, recover and adapt when faced with prolonged droughts or erratic rainfall events in Mbale municipality in Eastern Uganda. Design/methodology/approach A cross-sectional research design was used to elicit subjective opinions. Previous studies indicate the importance of subjective approaches for measuring social resilience but their use has not been well explored in the context of quantifying urban resilience to climate change shocks and stresses. This study uses 389 structured household interviews to capture demographic characteristics, social networks and resilience capacities. Descriptive and inferential statistics were used for analysis. Findings The ability of low-income households to meet their daily expenditure needs, household size, and networks with relatives and non government organizations (NGOs) were significant determinants of preparedness, recovery and adaptation to prolonged droughts or erratic rainfall events. Practical implications The results imply that policymakers and practitioners have an important role vis-à-vis encouraging activities that boost the ability of households to meet their daily expenditure needs, promoting small household size and reinforcing social networks that enhance household resilience. Originality/value Even the low-income households are substantially more likely to prepare for and recover from prolonged droughts or erratic rainfall events if they can meet their daily expenditure needs. This finding is noteworthy because the poorest in society are generally the most vulnerable to hazards.

Broadband adoption in urban and suburban California: information-based outreach programs ineffective at closing the digital divide

2020 ◽  
Vol 18 (3) ◽  
pp. 431-459
Author(s):  
Lloyd Levine
Keyword(s):  
Digital Divide ◽  
Low Income ◽  
Program Effectiveness ◽  
Low Cost ◽  
Vast Number ◽  
Content Type ◽  
The Past ◽  
The Usa ◽  
Using Data ◽  
Low Income Households

Purpose The digital divide has persisted in California and the USA as a whole at approximately the same level for the past decade. This is despite multiple programs being created and billions of dollars being spent to close it. This paper examines why the efforts to date have been ineffective and to offers policy alternatives that might be more successful. Design/methodology/approach Using data from three, variable constrained projects in California, this paper examines the effectiveness of information-based outreach efforts at closing the digital divide. The projects tested various outreach and enrollment methods to see which, if any, could increase broadband adoption in low-income households. Findings This project found that providing low-income households’ information about low-cost broadband offerings was ineffective at closing the digital divide. The findings in this paper were similar to those of two other works that examined the federal Broadband Technology Opportunities Program (BTOP) grants under the American Recovery and Reinvestment Act. Practical implications The findings of this paper along with the works cited that evaluated the BTOP program should be enough to change public policy. For the past ten years, efforts to close the digital divide have focused on providing information to low-income households. However, two independent surveys show broadband adoption has remained virtually flat during that period. Social implications The digital divide brings concomitant economic and education harms and challenges that plague those unable to access information, services, educational and employment opportunities with the same ease, speed and sufficiency as their connected peers and neighbors. Those harms exacerbate the already existing education and income divides. This paper shows that without a change in strategy, those harms will persist. Originality/value This paper breaks new ground and addresses one of the weaknesses identified in existing research. To the best of author’s knowledge, this is the first paper of its type to use programs designed to generate data that can be empirically evaluated for effectiveness. Prior studies attempted to assess program effectiveness by using data generated from fully implemented government programs. However, those programs contained a vast number of unidentified variables and insufficient data collection. They were not designed to facilitate academic evaluation, and as such made a true effectiveness evaluation challenging.

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