A Framework for Evaluating Rural Household Resilience to Economic Shocks

Thesis Abstract

Rural households in developing economies often face significant vulnerability to economic shocks such as price fluctuations, natural disasters, and market disruptions, which threaten their livelihood sustainability and socio-economic stability. Despite the critical importance of resilience in buffering these adverse effects, there remains a paucity of comprehensive and context-specific frameworks capable of accurately assessing and enhancing household resilience in rural settings. This study aims to develop and empirically validate a holistic framework for evaluating rural household resilience to economic shocks, with specific objectives to identify key resilience determinants, evaluate their relative importance, and propose targeted intervention strategies. Employing a mixed-methods research design, the study integrates qualitative and quantitative approaches to generate robust, context-sensitive insights. The primary population comprises 600 rural households across three distinct districts characterized by diverse socio-economic and environmental conditions. A stratified random sampling technique was employed to ensure representativeness, with household heads serving as respondents. Data collection involved structured questionnaires, in-depth interviews, and focus group discussions, with instruments validated through pilot testing and reliability assessments, including Cronbach’s alpha and construct validity measures. Quantitative data are subjected to descriptive statistics, correlation analysis, and multiple regression techniques to identify significant resilience factors and their interrelations. To further elucidate thematic patterns and contextual nuances, qualitative data are analyzed through thematic analysis using NVivo software, guided by the sustainable livelihood framework and resilience theory, notably the Social-Ecological Systems (SES) theory and the Adaptive Capacities framework. The integration of both analytical techniques facilitates the development of a comprehensive resilience assessment model. It is anticipated that findings will reveal key resilience indicators such as diversified livelihood strategies, social capital, access to financial services, and adaptive capacity metrics. The study expects to establish that certain socio-economic and institutional factors significantly influence household resilience levels, with variations across different socio-cultural and environmental contexts. The research contributes novel insights into resilience measurement by proposing a contextually grounded framework tailored for rural households vulnerable to economic shocks. It advances existing theoretical models by integrating multiple determinants into a unified assessment tool and empirically validating their relevance within a developing country context. The study also delineates the relative importance of different resilience components, offering a scientific basis for policymakers, development practitioners, and stakeholders to design targeted interventions and resource allocation strategies that foster resilience. The main conclusion underscores that resilience is multifaceted, shaped by economic, social, institutional, and environmental dimensions, and its assessment necessitates a holistic approach. Based on the findings, the study recommends strengthening social capital networks, promoting livelihood diversification, improving access to affordable credit, and enhancing local institutional capacities. It advocates for the integration of resilience metrics into rural development planning frameworks and calls for further research to test the framework’s applicability in different socio-economic and ecological settings. Overall, this research enhances understanding of resilience dynamics and provides a practical tool for assessing and strengthening rural household resilience to economic shocks, thereby contributing meaningfully to sustainable rural development discourse.