Open AccessDeterminants of Poverty: A Spatial Analysis.
Author(s) -
Siti Aisyah Nawawi,
Ibrahim Busu,
Norashikin Fauzi,
Mohamad Faiz Mohd Amin
Publication year - 2019
Publication title -
journal of tropical resources and sustainable science/journal of tropical resources and sustainable science
Language(s) - English
Resource type - Journals
eISSN - 2462-2389
pISSN - 2289-3946
DOI - 10.47253/jtrss.v7i2.514
Subject(s) - poverty , spatial analysis , geography , poisson regression , socioeconomics , log linear model , statistics , econometrics , economics , demography , linear model , mathematics , economic growth , sociology , population
Eradicating poverty has become the main concern for Malaysian government since independence. Recognising the incidence of poverty through standard statistical data tables alone is no longer adequate. This study examines socio-demographic effects on poverty and measures spatial patterns in poverty risk looking for high risk of areas. The poverty data were counts of the numbers of poverty cases occurring in every ten districts of Kelantan. To model these data, a spatial autocorrelation was detected prior to a Poisson Log Linear Leroux Conditional Autoregressive was fitted to the data. The result shows the variables household members, number of non-education of household head and log number of female household head significantly associated with the number of poor households. Tumpat was found as the highest risk area of poverty.