Mattayaphutron S Suchira Mattayaphutron, Lecturer, Department of Agricultural Extension and Communication, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom, Thailand
Email: Suchira.m@ku.th
Mahamat N Nayaeming Mahamat, PhD, Lecturer, Faculty of Humanities and Social Sciences, Prince of Songkla University, Thailand
Email: Nayeming.m@psu.ac.th

Abstract:

The poverty incidence of households in Thailand is an enduring problem with efforts to resolve this issue culminating in the first edition of the national economic and social development plan.  At present, the poverty rate at the household level in the country has decreased since 2000-2013, but   the agricultural sector remains uniquely problematic.  In 2011, the proportion of poor households in agriculture reached 21.56 percent, more than 281,000 households.  Therefore, this study aims to identify factors that determine the extent to which agricultural households are experiencing poverty by using Logistic Regression Analysis while using data form Household Socio-Economic Survey conducted by NSO for the year 2013.  The study found that agricultural households mostly have men as head of household.  Most of them are between 51-60 years of age and have only received formal education till the primary level.  There are 3-4 members per household and there are 1-2 people that do not work in rice cultivation as their main job.  The factors that affect the chances of poverty for agricultural households depend on the dependency ratio and they are many members are working in the agricultural sector that makes agricultural households are a chance of experiencing increasing poverty.  The level of education of the household head can help to reduce the chances of poverty, that is, at least a Diploma and/or Bachelor Degree.  Therefore, when establishing guidelines to tackle the poverty of agricultural households in Thailand, the government should increase educational for to members in agricultural households and support agricultural training for technical knowledge to the head of household in order to enhance agricultural production.

Keywords:Poverty, agricultural households, logistic regression analysi.