Improving poverty target and alleviation policy using spatial statistics and GIS

Abstract

Poverty is spatially dependent. In rural area, the poor people depend on natural resources for subsistence agriculture. The government announced poverty alleviation policy on the national agenda. However, poor households responded that they did not gain expected benefit from the poverty alleviation programs due to no logical selection strategy for investment or targeting the poor. Poverty mapping is a powerful tool to identify and visualize the pocket of poverty and the affluence as well. The combination of GIS and SA analysis is suitable to identify associated factors of poverty, and indicated the spatial pattern of poverty which is appropriate for address poverty interventions. This paper aims to evaluate the possibility of investigates the potential of spatial statistical analysis and GIS analysis with Basic Minimum Need (BNM) database in Samrongthap district, Surin province. The household survey and BMN database at different time was conducted and analyzed spatial pattern of poverty for this study. The similarity results of pattern and distribution from both data are suggested to use BNM database to analyze spatial distribution of poverty in national scale. In addition, this finding can help the government officer to address the poverty alleviation programs related to their problems and poverty pocket area which is suitable and effective in analysis the changing of poverty distribution base on the database.