STATUS OF SANITATION FACILITIES AND ITS IMPACTS ON HEALTH IN MAINPURI CITY OF UTTAR PRADESH, INDIA

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Mohini Saran ◽  
Mohini Saran
Keyword(s):  
Urban Areas ◽  
Urban Poor ◽  
Universal Access ◽  
Uttar Pradesh ◽  
Total Sample ◽  
Income Group ◽  
Lower Income Group ◽  
Associated Diseases ◽  
Related Risk ◽  
Public Health Challenges

Nearly 60 million people in urban areas lack access to improved sanitation arrangements, and more than two-thirds of wastewater is let out untreated into the environment, polluting land and water bodies. Urban sanitation in India faces many challenges. To respond to these environmental and public health challenges, urban India will need to address the full cycle of sanitation, i.e., universal access to toilets, with safe collection, conveyance and treatment of human excreta. There has been a significant increase in waste generation because of rapid population growth and economic development. Thus, waste management and sanitation became major environmental and health problem. In rainy season condition gets worse. This paper outlines these concerns, and highlights the need for focusing on access to water and the full cycle of sanitation for the urban poor, as fundamental to addressing the sanitation challenge. In this paper an attempt has been made to identify the sanitation related risk factors and its relationship with associated diseases in Mainpuri city. The study is based on primary sources of data collected through household surveys in Mainpuri city. Households belong to different income groups. The total sample size consists of 1836 households. The result showed that the sanitation condition and associated diseases or living standards and health conditions are related to each other. In this paper typhoid fever, cholera, malaria, etc. diseases were observed. The lower income group households are most vulnerable. They suffer most because of their poor sanitation conditions.

scholarly journals Impact on poverty and income inequality in Malaysia’s economic growth

2017 ◽  
Vol 15 (1) ◽  
pp. 55-62 ◽  
Author(s):  
Rabiul Islam ◽  
Ahmad Bashawir Abdul Ghani ◽  
Irwanshah Zainal Abidin ◽  
Jeya Malar Rayaiappan
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Rural Areas ◽  
Urban Areas ◽  
Income Group ◽  
Lower Income Group ◽  
Working People ◽  
Quality Of Living ◽  
The Government

Poverty and income inequality are extreme issues that still exist in Malaysia. Any rise in poverty and income inequality definitely affect economic growth. There are many great efforts taken by the government of Malaysia to eradicate poverty and to reduce the gap of income inequality which occurs since 1970’s. The incidence of poverty and income inequality is higher in rural areas compared to urban areas. This paper is mainly to study the level of poverty and income inequality in Malaysia together with government intervention to develop Malaysia’s economic growth. The research is focused among the working people at Ipoh, Perak. In this paper, questionnaire forms are being distributed to get information regarding the issue of poverty and income inequality. It also looks into the strategies taken by the government of Malaysia to eradicate poverty and income inequality. Few recommendations are given in terms of education policy, financial aid and assistance from government and non-government organization (NGO) to upgrade the standard and quality of living among the poor and lower-income group of people.

scholarly journals A study on factors responsible for rural urban migration

2020 ◽  
Vol 5 (02) ◽  
pp. 194-197
Author(s):  
N. K. Singh ◽  
Kshitij Parmar
Keyword(s):  
Social Factors ◽  
Rural Areas ◽  
Urban Areas ◽  
Rank Order ◽  
Uttar Pradesh ◽  
Total Sample ◽  
Economic Factors ◽  
Urban Migration ◽  
Natural Factors ◽  
Rural Urban Migration

Rural India is yet a larder of problems like malnourishment, illiteracy, unemployment, poverty, sottishness and lack of basic infrastructure like schools/colleges, hospitals, sanitation, etc. This has pushed to rural youth moving out of villages to work in cities. Present study entitled “A study on factors responsible for rural urban migration” was conducted to explore the causes behind migration. The study was conducted in two industrially backward districts of Uttar Pradesh viz. Fatehpur and Banda. From each district one block, from each block four villages and from each village 10 respondents were selected through purposive random sampling from the list of families of rural migrants. Thus the total sample size was of 80 respondents. The data were collected by personal interview through structured schedule and simply analyzed through mean score and rank order. After making an exhaustive list of factors with the consultation of local people, causes were categorized in to five categories viz. economic factors, social factors, natural factors, good facilities of cities and other factors. Results of the study revealed that the major economic factors of migration are employment opportunities, poverty, low agriculture productivity, fragmentation of holding and Indebtedness. Prominent social factors encouraging migration were large size of family, desire to overcome of poverty, better educational opportunities, attraction towards better ways of living and loss of social prestige. Among natural factors exhaustion of natural resources was reported of highest importance. Important good facilities attracting to people are more avenue for earning better livelihood, educational facilities, medical facilities, communication facilities and good electric supply etc. Some other factors reported important by the respondents were lack of basic amenities in rural areas, better working conditions in the urban areas and hope of bright future. At the end, investigators felt that there is much more scope to conduct micro studies on migration process and its consequences to the urban as well as rural areas.

Farmers Sustainability and Social Justice: Evidences of Land Inequalities in Uttar Pradesh

2020 ◽  
pp. 232-238
Keyword(s):  
Social Justice ◽  
Sample Size ◽  
Field Survey ◽  
Uttar Pradesh ◽  
Total Sample ◽  
Small Farmers ◽  
Land Fragmentation ◽  
Total Sample Size ◽  
Fragmentation Index ◽  
State Economy

The present study is an attempt to inspect the aspect of social justice among the farmers in terms of fragmented land and farmers’ distress in Uttar Pradesh. The data were obtained through field survey via interview scheduled. A sample of 80 respondents from each targeted village namely, Jansar, Sithauli, Charsoni, and Jonai were selected from each region of Uttar Pradesh state economy. Thus, the study used a total sample size of 320 samples. Simmons index (1968) for canvassing the land fragmentation index (LFI) was applied in the Uttar Pradesh context. Further distress was measured via the help of ratios. It flaunted causes and degrees of distress were relatively high among marginal and small farmers. The result of LFI confirms that high fragmentation was a cause of subsistence income among marginal and small farms compared to semi-medium, and medium farms.

scholarly journals Financial Resources and Biomarkers of Aging in the National Health and Aging Trends Study

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 589-589
Author(s):  
Laura Samuel ◽  
Laken Roberts ◽  
Danielle Boyce ◽  
Melissa Hladek ◽  
Sarah LaFave ◽  
...  
Keyword(s):  
Hemoglobin A1c ◽  
Income Group ◽  
Cross Sectional Study ◽  
Financial Strain ◽  
Diabetes Diagnosis ◽  
Lower Income ◽  
Sampling Weights ◽  
Cross Sectional ◽  
Lower Income Group ◽  
Biomarkers Of Aging

Abstract Lower income and financial strain (i.e. difficulty making ends meet) are associated with worse aging biomarkers, but evidence among nationally representative samples is limited. This cross-sectional study tested whether income to poverty ratio (analyzed separately for those <500% vs. ≥500% poverty threshold) and financial strain are associated with biomarkers of aging among NHATS participants aged ≥65 years (n=4,648), adjusting for age, race/ethnicity, gender, smoking, BMI, and diabetes diagnosis for hemoglobin A1c. Sampling weights were applied. Among those with incomes <500% poverty, higher income was associated with lower hemoglobin A1c (b= -0.0196, p=0.007), CMV (b= -0.0689, p<0.001) and CRP (b= -0.0428, p=0.012). Among those with incomes ≥500%, higher income was associated with lower IL-6 (b= -0.0001, p=0.023) and lower CMV (b= -0.0001, p<0.001). Financial strain was not associated with biomarkers. Income is more strongly associated with biomarkers among the lower income group, calling for special attention to this vulnerable population.

Stakeholders’ Perspectives on the Unmet Needs and Health Priorities of the Urban Poor in South-East Nigeria

2021 ◽  
pp. 0272684X2110334
Author(s):  
Ifeyinwa Arize ◽  
Daniel Ogbuabor ◽  
Chinyere Mbachu ◽  
Enyi Etiaba ◽  
Benjamin Uzochukwu ◽  
...  
Keyword(s):  
Urban Areas ◽  
Urban Poor ◽  
Health Workers ◽  
Cost Of Care ◽  
Health Needs ◽  
Health Priorities ◽  
Primary Health Care System ◽  
Dual Practice ◽  
Double Burden ◽  
Primary Health

Relatively little is known about readiness of urban health systems to address health needs of the poor. This study explored stakeholders’ perception of health needs and strategies for improving health of the urban poor using qualitative analysis. Focus group discussions (n = 5) were held with 26 stakeholders drawn from two Nigerian states during a workshop. Urban areas are characterised by double burden of diseases. Poor housing, lack of basic amenities, poverty, and poor access to information are determinants of health of the urban poor. Shortage of health workers, stock-out of medicines, high cost of care, lack of clinical practice guidelines, and dual practice constrain access to primary health services. An overarching strategy, that prioritises community-driven urban planning, health-in-all policies, structured linkages between informal and formal providers, financial protection schemes, and strengthening of primary health care system, is required to address health needs of the urban poor.

scholarly journals Clustering Techniques for Secondary Substations Siting

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1028
Author(s):  
Silvia Corigliano ◽  
Federico Rosato ◽  
Carla Ortiz Dominguez ◽  
Marco Merlo
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Universal Access ◽  
Distribution Networks ◽  
Industrialized Countries ◽  
Agglomerative Clustering ◽  
Clustering Techniques ◽  
Hierarchical Agglomerative Clustering ◽  
Efficient Planning ◽  
Target Set

The scientific community is active in developing new models and methods to help reach the ambitious target set by UN SDGs7: universal access to electricity by 2030. Efficient planning of distribution networks is a complex and multivariate task, which is usually split into multiple subproblems to reduce the number of variables. The present work addresses the problem of optimal secondary substation siting, by means of different clustering techniques. In contrast with the majority of approaches found in the literature, which are devoted to the planning of MV grids in already electrified urban areas, this work focuses on greenfield planning in rural areas. K-means algorithm, hierarchical agglomerative clustering, and a method based on optimal weighted tree partitioning are adapted to the problem and run on two real case studies, with different population densities. The algorithms are compared in terms of different indicators useful to assess the feasibility of the solutions found. The algorithms have proven to be effective in addressing some of the crucial aspects of substations siting and to constitute relevant improvements to the classic K-means approach found in the literature. However, it is found that it is very challenging to conjugate an acceptable geographical span of the area served by a single substation with a substation power high enough to justify the installation when the load density is very low. In other words, well known standards adopted in industrialized countries do not fit with developing countries’ requirements.

scholarly journals Where Do I Allocate My Urban Allotment Gardens? Development of a Site Selection Tool for Three Cities in Benin

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 318
Author(s):  
B. G. J. S. Sonneveld ◽  
M. D. Houessou ◽  
G. J. M. van den Boom ◽  
A. Aoudji
Keyword(s):  
Food Insecurity ◽  
Urban Agriculture ◽  
Low Income ◽  
Urban Areas ◽  
Urban Poor ◽  
Site Suitability ◽  
Rapid Urbanization ◽  
Middle Income ◽  
Support Tool ◽  
Allotment Gardens

In the context of rapid urbanization, poorer residents in cities across low- and middle-income countries increasingly experience food and nutrition deficiencies. The United Nations has highlighted urban agriculture (UA) as a viable solution to food insecurity, by empowering the urban poor to produce their own fresh foods and make some profit from surplus production. Despite its potential role in reducing poverty and food insecurity, there appears to be little political will to support urban agriculture. This is seen in unclear political mandates that are sustained by information gaps on selection criteria for UA sites. The research reported here addresses this issue in the form of a decision-making support tool that assesses the suitability of cadastral units and informal plots for allotment gardens in urban and peri-urban areas. The tool was developed and tested for three rapidly expanding cities in Benin, a low-income country in West Africa, based on an ordered logit model that relates a set of 300 expert assessments on site suitability to georeferenced information on biophysical and socio-economic characteristics. Soil, land use, groundwater depth, vicinity to market and women’s safety were significant factors in the assessment. Scaled up across all cadastral units and informal sites, the tool generated detailed baseline maps on site suitability and availability of areas. Its capacity to support policymakers in selecting appropriate sites comes to the fore by reporting changes in site suitability under scenarios of improved soil fertility and enhanced safety for women.

scholarly journals In the Same Boat, but not Equals: The Heterogeneous Effects of Indirect Taxation on Child Health in Punjab-Pakistan

2020 ◽  
Vol 11 (3) ◽  
Author(s):  
Faiz Ur Rehman ◽  
Muhammad Nasir
Keyword(s):  
Negative Impact ◽  
Income Group ◽  
Z Score ◽  
Negative Effects ◽  
Indirect Taxation ◽  
Nutrition Survey ◽  
Lower Income Group ◽  
Food Items ◽  
Heterogeneous Effects ◽  
The Impact

AbstractThe 2011 National Nutrition Survey of Pakistan revealed that 51% of the country’s population was consuming less than 2,100 calories a day. In the backdrop of rising food insecurity, hunger, and malnutrition in Pakistan, this study aims to measure the effects of indirect taxation on health outcomes of children (<5 years). More specifically, the impact of the incidence of General Sales Tax (GST) in the province of Punjab has been estimated on a child’s height and weight. The proponents of the uniform GST argue that the tax would not affect children because most food items consumed by children are exempted from the GST. However, the opponents believe that households, especially those belonging to the lower-income group, would reallocate resources away from children in the face of higher GST. To study these effects, we utilized three different waves (2007–08, 2011 & 2014) of Multiple Indicators Cluster Surveys (MICS). The results show that the tax incidence, and not the GST rate, has a significantly negative impact on children’s height-for-age Z-score (HAZ). No effect was found on the weight-for-age-z-score (WAZ). These results are robust to different specifications and exhibit considerable heterogeneity across different income groups. These findings suggest that the exemption of certain food items for children from the GST may not eliminate the negative effects of this tax on a child’s health. Thus, our study raises concerns about the long term welfare consequences of GST.

RURAL–URBAN MIGRATION AND CHILD SURVIVAL IN URBAN BANGLADESH: ARE THE URBAN MIGRANTS AND POOR DISADVANTAGED?

2008 ◽  
Vol 40 (1) ◽  
pp. 83-96 ◽  
Author(s):  
M. MAZHARUL ISLAM ◽  
KAZI MD ABUL KALAM AZAD
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Urban Poor ◽  
Child Survival ◽  
Childhood Mortality ◽  
Policy Implications ◽  
Urban Migration ◽  
Under Five ◽  
Urban Migrants ◽  
Urban Rural

SummaryThis paper analyses the levels and trends of childhood mortality in urban Bangladesh, and examines whether children’s survival chances are poorer among the urban migrants and urban poor. It also examines the determinants of child survival in urban Bangladesh. Data come from the 1999–2000 Bangladesh Demographic and Health Survey. The results indicate that, although the indices of infant and child mortality are consistently better in urban areas, the urban–rural differentials in childhood mortality have diminished in recent years. The study identifies two distinct child morality regimes in urban Bangladesh: one for urban natives and one for rural–urban migrants. Under-five mortality is higher among children born to urban migrants compared with children born to life-long urban natives (102 and 62 per 1000 live births, respectively). The migrant–native mortality differentials more-or-less correspond with the differences in socioeconomic status. Like childhood mortality rates, rural–urban migrants seem to be moderately disadvantaged by economic status compared with their urban native counterparts. Within the urban areas, the child survival status is even worse among the migrant poor than among the average urban poor, especially recent migrants. This poor–non-poor differential in childhood mortality is higher in urban areas than in rural areas. The study findings indicate that rapid growth of the urban population in recent years due to rural-to-urban migration, coupled with higher risk of mortality among migrant’s children, may be considered as one of the major explanations for slower decline in under-five mortality in urban Bangladesh, thus diminishing urban–rural differentials in childhood mortality in Bangladesh. The study demonstrates that housing conditions and access to safe drinking water and hygienic toilet facilities are the most critical determinants of child survival in urban areas, even after controlling for migration status. The findings of the study may have important policy implications for urban planning, highlighting the need to target migrant groups and the urban poor within urban areas in the provision of health care services.

scholarly journals Rural–Urban Disparities in Access to Improved Sanitation in Indonesia: A Decomposition Approach

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110299
Author(s):  
Sri Irianti ◽  
Puguh Prasetyoputra
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Universal Access ◽  
Decomposition Analysis ◽  
Multivariate Regression Analysis ◽  
Probit Regression ◽  
Decomposition Approach ◽  
Explanatory Variables ◽  
Improved Sanitation ◽  
The Government

One of the targets in the Sustainable Development Goals (SDGs), which is Target 6.2, aims to achieve access to adequate and equitable sanitation. The Government of Indonesia targets universal access to improved sanitation in 2019. However, almost two out of five households in Indonesia are without access to improved sanitation. Moreover, access to improved sanitation is lower in rural areas than that in urban areas. Studies examining the drivers of the disparity in Indonesia are also limited. Therefore, this study was aimed at assessing the characteristics associated with the rural–urban disparity in access to improved sanitation facilities among households in Indonesia. We employed data from the 2016 Indonesian National Socio-Economic Survey (SUSENAS) comprising 290,848 households. The analysis was twofold. First, we fitted multivariate probit regression models using average marginal effects as the measure of association. We then conducted a detailed non-linear decomposition of the rural–urban disparity attributable to all the explanatory variables. The multivariate regression analysis suggested that households living in rural areas were 11.35% (95% confidence interval = [10.97, 11.72]) less likely to have access to improved sanitation facilities than those residing in urban areas. The decomposition analysis suggested that 48.78% are attributable to spatial, demographic, housing, and socio-economic factors, which meant that almost half of the inequalities could be reduced by equalizing these factors. The results provide a decomposition of factors amenable to curtail urban–rural inequalities. Hence, equity-oriented approaches to increasing access to improved sanitation should be prioritized to achieve universal access in 2030 in line with SDG Target 6.2.

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