Page 16 - Contributed Paper Session (CPS) - Volume 2

CPS1407 D.Dilshanie Deepawansa et al.
past. Poverty headcount index for Uva was 27.0 in 2006/07 and when compare
with Western province which is economically advance province in Sri Lanka
poverty headcount index was 8.2 percent for the same period However, after
10 years this province has shown a progress in combating against poverty
resulting the decline of poverty headcount index to 6.5 in 2016 while in
western province it was 1.7 percent. Nevertheless, this province is still the
fourth poorest province among the other nine provinces. The survey used a
two-stage stratified sampling method in which the Primary Sampling Units
(PSUs) were the census blocks prepared in the Census of Population and
Housing in 2011 and the Secondary Sampling Units (SSUs) were housing unit.
Three spatial residential sectors, that is the urban, rural and plantations-based
estate sectors in each district were the main selection domains. Plantation
sector is a special sub economic sector unique to Sri Lanka. This sector is
somewhat unique in its characteristics in all forms which range from
household unit to a political establishment. The origin of the plantation sector
was begun specially with tea plantation on the island by British. The survey
covered 1200 households and the sample was allocated among strata
proportionate to the population.

3. Result

3.1. Social Dimensions of Poverty and Deprivation
The analysis adopted a multidimensional approach to measuring poverty
by computing deprivation indices of three social factors, social capital, dignity
and autonomy. The indicators of each dimension were selected using three
correlation techniques: the Pearson Correlation test, Data Redundancy test
and Point Biserial test. The results of these tests generated 28 continuous
indicator variables for the analysis. We then constructed the Fuzzy
Deprivations Score and the five multidimensional indices defined above using
the selected indicators. Table 1 shows the results of all deprivation measures
with coefficient of variations for population sub-groups where the sub-groups
are classified according to characteristics that have been found in the Sri
Lankan literature to be correlated with consumption as well-as
multidimensional poverty (Kariyawasam, et al., 2012; Nanayakkara, 2012;
Semasinghe, 2015).

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