scholarly journals Identifying factors that influence access to banking services in Bangladesh: A household level analysis

2018 ◽  
Vol 30 (1-2) ◽  
pp. 81-89
Author(s):  
Soma Dey ◽  
Sacchidanand Majumder

This study, employing a logistic regression model seeks to identify the important factors that influence household’s access to banking services. The result shows that about 31.7% households have bank account while the remaining 68.3% households have no such account. The result found that with the increase in age of household’s head access to banking services increased gradually. As observed, female headed household have greater access to banking services as compared to male headed household. More so, formerly/ever married headed households have less access to banking services by comparison with never married headed households. The result also shows that access to banking services gradually increased with increasing education level of household’s head. It is found that poor households have very less access to banking services as compared to non-poor households. Increased land ownership of household allowed gradual increase in the access to banking services. The result also mentions that nonowner homestead households have less access to banking services as compared to own homestead households. According to the logistics regression analysis, comparing with the rural households it has been found that the urban households have more access to banking facilities.Bangladesh J. Sci. Res. 30(1&2): 81-89, December-2017

2018 ◽  
Vol 13 ◽  
pp. 39
Author(s):  
Ganesh Sharma ◽  
Badri Aryal

<p>This study attempts to characterize a typical Chepang community in Chitwan  district with reference to their economy at household level based on the study conducted in Lothar Village Development Committee. Chepang are considered to be one of the highly marginalized communities in Nepal having traditional subsistence based small economies. Their houses are small with mud floor, stone walls and straw roofs. One third of the Chepang households do not have toilets. They rear small number of mixed livestocks in a house eg. Cattle, buffaloes, poultry, goat and pig. They do not have household amenities like freeze, telephone, television, computer, motorcar and motorbike; but have mobile phones. More than ninty percent of Chepang go to jungle to collect one or the other types of edibles like githavyakur, wild fruits, and chiuri.Ninty five percent of Chepang people do not have bank account, thus rely on their friends and relatives for borrowing in household needs for money. Chi-square test reveals highly significant association between size of landholding and food sufficiency months, level of education and annual income, purpose of taking loan and sources of loan; as well as estimated  annual income and account holding in bank.</p><p><em> </em><strong><em>Economic Literature</em></strong><em>, </em>Vol. XIII August 2016, page 39-45</p>


2012 ◽  
Vol 44 (35) ◽  
pp. 4639-4650 ◽  
Author(s):  
Sarah Brown ◽  
Andrew Dickerson ◽  
Jolian McHardy ◽  
Karl Taylor

2019 ◽  
Vol 1 (2) ◽  
pp. 77-86
Author(s):  
Irwan Muis ◽  
Sunarty Suly Eraku ◽  
Syahrizal Koem

Information on household poverty level in Wonosari Sub-district area is still very difficult to access by all parties. Therefore, this study aims to analyze poverty level and map of the spatial distribution of webGIS-based poor households in the site area. In determining the number of samples, descriptive statistical analysis techniques focused on assessing and describing the poverty level of each household. GIS analysis used GIS Application 2.18 to map the spatial distribution of poor households and regional poverty levels. GIS Application has been equipped with 2 web tools that are able to display webGIS-based maps. The results shows that the poverty level of households is in the poor category with a percentage of 72% of households, 14% of households are in the extremely poor category and 14% are in the fairly poor category. and 1 village is in a fairly poor category. This is a village that was built with a view that can be accessed by various PCs, laptops and android media so that the maps information from an analysis of household poverty levels and the spatial distribution of poor households can be accessed on the webGIS that has been built.


2018 ◽  
Vol 41 (3) ◽  
pp. 550-560
Author(s):  
Aristide Romaric Bado ◽  
A Sathiya Susuman

Abstract Background The aim of this article is to determine the factors associated with under-5 mortality and their evolution from 1993 to 2010 and to analyse the contributors of socioeconomic inequalities in mortality of children under-5 years during the same period. Data and methods The data used in this study were derived from the four rounds of Demographic and Health Survey (DHS) conducted in Burkina Faso in 1993, 1998 and 2010. Concentration measurement, logistics regression and Oaxaca–Blinder decomposition method were used to analyse data. Results Multivariate analysis revealed that being the first child (odds ratio = 1.8 for 1993, 1.7 for 1998, 1.2 for 2003 and 1.3 for 2010) or a twin (odds ratio = 4.5 for 1993, 2.8 for 1998, 2.7 for 2003 and 4.8 for 2010) were also significantly associated with the probability of dying. The variable (parity) was the main contributor to the part of the inequality due to differences in group characteristics and that would be due to the fact that women from poor households have greater parity compared to those from rich households. Conclusion For a reduction in mortality and inequalities related to mortality, the implementation of actions in favour of poor households and promotion of family planning programmes for birth spacing will be required.


2007 ◽  
Vol 39 (8) ◽  
pp. 1908-1925 ◽  
Author(s):  
Stefan Buzar

In this paper I aim to develop a relational geographical interpretation of energy poverty in the postsocialist states of Eastern and Central Europe, through a field-based study of inadequately heated homes in the Macedonian cities of Skopje and Štip. According to the reviewed evidence, domestic energy deprivation simultaneously shapes, and is shaped by, the institutional relationships between policy actors at different levels of governance, and the day-to-day interactions between vulnerable households and the built environment. It is contingent on three sets of processes: the socioeconomic implications of energy reforms in postsocialism, the inadequate energy efficiency of the homes of energy-poor households, and the mismatch between housing needs and heating systems at the household level. As a result of such interdependencies, households may become ‘imprisoned’ in particular types of sociospatial arrangements that contribute to the emergence of poverty.


Nutrients ◽  
2015 ◽  
Vol 7 (10) ◽  
pp. 8376-8391 ◽  
Author(s):  
Makiko Sekiyama ◽  
Hong Jiang ◽  
Budhi Gunawan ◽  
Linda Dewanti ◽  
Ryo Honda ◽  
...  

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