Testing the validity of subjective and objective indicators to predict future wellbeing in the face of climatic shocks and stressors 2017

The data was collected through face to face interviews following a panel of respondents across three time points in three villages in Kyrgyzstan. Approximately 200 households were interviewed in each of the three communities, located in the provinces of Batken, Jalalabad and Naryn. Surveys were completed in April, July and November 2017, starting before and then continuing to monitor households throughout the main shock/stressor risk windows and critical periods for agricultural activities. These risk windows and critical periods included: floods, mudslides, planting crops in May/June, droughts, livestock and crop disease in June/July, and financial stressors from social events and weddings which traditionally occur in the months of August and September.Recent attempts to develop a standardised tool to quantify levels of household resilience to climate extremes typically generate very large household surveys, which take a number of hours to complete. Moreover significant questions exist around which resilience capacities to measure, how to measure them, and how to weight them for their relative importance in facilitating or hindering resilience in any given context. Subjective approaches to resilience measurement may offer an attractive alternative, because they ask respondents for a rating of their overall perceived resilience, thereby placing more emphasis on what resilience means to local people and leaving the choice of which capacities, in what combination and quantities, up to them. This data facilitates longitudinal quantitative comparison of the power of subjective and objective resilience measures to predict future wellbeing (in this case, represented by household food security) in the face of socio-environmental shocks and stressors in three contrasting case-study locations within Kyrgyzstan.

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Geographic Coverage:

Batken, Naryn & Jalalabad provinces, Kyrgyzstan

Temporal Coverage:

2017-04-20/2017-11-20

Resource Type:

dataset

Available in Data Catalogs:

UK Data Service

Topics: