GIS based poverty analysis and mapping for rural development planning in Nepal : a case study of Kaski District | |
| Author | Kshetri, Man Bahadur |
| Call Number | AIT Thesis no.RS-05-09 |
| Subject(s) | Poverty--Nepal Geographic information systems--Nepal Rural development--Nepal--Planning |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science |
| Publisher | Asian Institute of Technology |
| Abstract | Poverty in Nepal is widespread with thirty-two percent of the total population living below the poverty line. It is much more rampant, deeper and severe in rural areas compared to the urban areas. It is rather difficult to measure poverty incidence in smaller administrative units due mainly to insufficient data. Spatial and non-spatial data were used from different data sources. Multidimensional and income poverty measure used as the major techniques to capture the heterogeneity of the poverty. Deprivation, socio-economic, women empowerment and infrastructural development were assumed as the basic dimensions of human development to form the group of multidimensional indicators. Zero to one scoring transformation method was used to compute the value of the multidimensional indicators as unit less scores. The scores of a set of indicators under a basic dimension were computed as composite index to make a composite value of the basic dimension. The VDCs were ranked and categorized into four groups as good, fair, poor and very poor in every basic dimension. HDI and HPI were computed and ranked the VDCs on the basis of the value. GIS was used for the purpose of measuring the access to major infrastructures, integrating the spatial and non-spatial data to generate the new data to gauge the poverty and mapping the distribution of poverty. A cost surface modeling was used to measure the accessibility to major infrastructures. To examine the relationship between accessibility and multidimensional indicators t-Test had been done. Foster-Greer-Thorbecke (FGT) class of poverty measure was used for income measure. The per capita income of fifteen VDCs found below the poverty line. The status of VDCs found good in a basic dimension but not necessarily in the others. It indicated that there was imbalanced in sectoral development in the VDCs. Accessibility to major infrastructures found as a main cause of the poverty. Market center and road network accessibility were the most influential factors of poverty status. The VDCs located in the northern part of the district found as poor in every aspects of human development. The methodological approach and findings of the study might help to the researchers and, planners and decision-makers for launching poverty alleviation program achieving the intended objectives. |
| Year | 2005 |
| Type | Thesis |
| School | School of Advanced Technologies (SAT) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Kusanagi, Michiro; |
| Examination Committee(s) | Hazarika, Manzul Kumar ;Srisaang Kaojarern ;Paudel, Giridhari Sharma; |
| Scholarship Donor(s) | Asian Institute of Technology, Fellowship; |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2005 |