Abstract:
Climate change is considered as the major threat to the human beings in the future.
Vulnerability to the climate change refers to the potential of a system to be harmed by an
external threat and it is a function of exposure, sensitivity to impacts and the ability or lack
of ability to cope or adapt. Adaptive capacity represents the ability of a region or
community to cope with and thrive in the face of change. Communities vary in their
physical exposure to threats, and it is widely recognized that adaptation is place, culture,
and issue specific. This means that strategies to facilitate and enhance adaptive capacity
also must attend to context and recognize that capacities do not exist or are not developed
uniformly across all communities. In this context, an attempt has been made to construct
index to measure the adaptive capacity for the district level aggregate data. The data were
obtained from Sri Lanka Household and Expenditure Survey results in 2009/2010,
covering 25000 households. Constructing index raises several problems in the aggregation
including the decision of assigning weights to the selected assets. One purpose of this
research is to demonstrate a method of aggregating adaptive capacity indicators that result
in a composite index. Weighted Principal Components Analysis (WPCA) is performed on
assets and variables for the indicators in district level aggregation data. Constructed index
shown in the analysis that the positive relationship between adaptive capacity and social
assets are clearly followed by economic assets and physical assets, but human assets have
been attributed a negative association. Batticaloa, Jaffna, Ampara, Moneragala,
Trincomalee, Vavuniya and Puttlam districts had lower adaptive capacity, along with
Colombo and Gampaha had a higher level of adaptive capacity.
