Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Accueil du site → Doctorat → États-Unis → 2018 → The Relationship between Social Capital and Food Security of Chronically Vulnerable Areas in Rural Burkina Faso and Niger

Tulane University (2018)

The Relationship between Social Capital and Food Security of Chronically Vulnerable Areas in Rural Burkina Faso and Niger

Pendley, Sofia Curdumi.

Titre : The Relationship between Social Capital and Food Security of Chronically Vulnerable Areas in Rural Burkina Faso and Niger

Auteur : Pendley, Sofia Curdumi.

Université de soutenance  : Tulane University

Grade : Doctor of Philosophy (PhD) 2018

Résumé
Objective : The objective of this study was to operationalize social capital within the Burkina Faso and Niger context. This operationalization followed the literature and compared different approaches to characterizing social capital.

Data and Methods : This study used a cross-sectional approach using a representative survey from May 2015. The data were collected as part of an impact evaluation for Resilience in the Sahel-Enhanced (RISE), a United States Agency for International Development’s (USAID) Feed the Future program. The RISE goal is to increase the resilience of chronically vulnerable populations in agro-pastoral and marginal agriculture livelihood zones in Burkina Faso and Niger. This paper examines four methods for operationalizing social capital : (1) use of a proxy indicator of social capital, (2) creation of indices for bonding, bridging, and linking social capital, (3) creation of an index for social capital using factor analysis and (4) creation of an index for social capital using latent class analysis (LCA).

Results : This study selected LCA, and the resulting three classes identified, as the most appropriate method for defining and operationalizing social capital in this context. This method was selected due to limitations with other methods, constraints within this dataset, interpretability of the latent construct, and the amount of variance the latent class analysis classes contributed to an outcome of interest, food security.

Conclusion : Findings from this study have implications for future disaster research and implications for programs. It provides results on the applicability of different methods for measuring and operationalizing social capital in a disaster-prone context. Humanitarian programs may find that if they increase a household’s ability to share resources among local and extra-local networks, this may increase overall social capital levels. If social capital is accurately measured, then future research will better discern what mechanisms and components of social capital make households more or less resilient

Présentation (ProQuest)

Page publiée le 28 mai 2021