Author: Uddhab Kumar Bhandary
AIT Library Call Number: AIT Thesis no.RD-01-09
Year: 2001
Academic Program: Regional and Rural Development Planning (RRDP)
Type: Thesis (M.Sc.) – Asian Institute of Technology, 2001
Examination Committee: Jayant Kumar Routray (Chairperson); Soparth Pongquan, Rajendra Prasad Shrestha (Examination Committee Members)
Abstract: Nepal is predominantly a rural country where severity of poverty is higher in the rural areas. Decentralization act is not much functional due to lack of systematic data, lack of information on poverty-stricken area, and easy and understandable techniques for assessing poverty and development situation. The research has attempted to examine existing DDC database, its adequacy, its application and further improvement in planning in rural development in Kaski of district, Nepal through a series of interaction with local planners, local leaders and personnel. The available numerical data is applied to assess and compare poverty and development situation in all 43 VD Cs of the district. VDCs were categorized on the basis of income but it is felt that categorization of VDCs by income alone is not justifiable to predict the poverty situation ofVDCs and hence social wellbeing index as a proxy of poverty measure is computed. These two are compared with other sets of composite indices directly or indirectly reflecting poverty to assess overall situation at VDC level. In another effort, a series of maps are prepared using individual and composite indices from GIS, to assess and compare the VDC situations. Statistical techniques are applied to assess the linkages among indicators and their relationship with composite indices. The finding reveals that income and social wellbeing – an index a proxy of poverty measure have weak relation with other individual and composite indices of development indicators. The indicators such as rural population density, area of VDC with slope greater than 30 degree, distance of VDCs from the district center and distance of VDCs from the road head, road density have high correlation with other poverty and development indicators. Similarly, percentage of thatched roof houses, overall literacy, and percentage of cultivated land has good correlation with the poverty and development. In the existing database of the DDC, few natural resource data, health related data such as child and maternal mor
Scholarship Donor(s): The German Academic Exchange Service (DAAD)
Note: A thesis submitted m partial fulfillment of the requirements for the degree of Master of Science, School of Environment, Resources and Development
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