Locating The Poor: Spatial Poverty Mapping Of Household In Rajshahi City, Bangladesh
| dc.contributor.author | Boksh Moral, Md. Jahan | |
| dc.date.accessioned | 2018-06-22T08:11:51Z | |
| dc.date.available | 2018-06-22T08:11:51Z | |
| dc.date.issued | 2011-01 | |
| dc.description.abstract | The main objectives of the study are to analyze the spatial poverty mapping of household, determine spatial infrastructure and services of the poor and to find out the association between vulnerability and poverty. The study also analyzes the application of logistic regression to determine the most influential indicators of poverty. The spatial and non-spatial information are used in the study which are assembled from the published documents, database of Rajshahi Development Authority (RDA) and field investigations using a structured questionnaire. The spatial household poverty mapping of income, education, housing and health are analyzed in the study. The spatial heterogeneous poverty mapping of household is found in the study areas, which is affected by locational, socio-economic and environmental factors. In Meherchandi and Keshubpur, nearly 42% and 36% of the households live below poverty respectively. In the study areas, around 18% of the head of household have no institutional education. Bad to moderate categories of houses are found among the poor. Inadequate health facilities including unhygienic bathing water, lack of treatment facilities are found in the investigated mouzas (villages). The poor are living in indecent environment with inadequate infrastructure and services. Vulnerability is a great problem, which effects on their daily life. The most influential indicators of poverty are sanitation, health, education, family member and saving, which are done by logistic regression. The research can contribute toward poverty reduction in Bangladesh by providing spatial household information of the poor. Strategic policy of poverty can be developed by using the spatial household poverty mapping information. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/5763 | |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Sains Malaysia | en_US |
| dc.subject | The application of logistic regression to determine | en_US |
| dc.subject | the most influential indicators of poverty | en_US |
| dc.title | Locating The Poor: Spatial Poverty Mapping Of Household In Rajshahi City, Bangladesh | en_US |
| dc.type | Thesis | en_US |
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