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University of Venda (2019)

Strategies for coping with household food insecurity in Chipinga District of Zimbabwe

Chifamba, Ephraim

Titre : Strategies for coping with household food insecurity in Chipinga District of Zimbabwe

Auteur : Chifamba, Ephraim

Université de soutenance : University of Venda

Grade : Doctor of Philosophy (PhD) in Rural Development 2019

Résumé partiel
Household food deficit is a serious and prevalent public security issue, especially for people living in the dry areas of Zimbabwe. Yet national welfare surveys usually exclude a large portion of the dry areas. This explains partially why there is inadequate data on household food deficit. Food deficit confronting households living in isolated and inaccessible communities is unique. Studies have focused on the status, determinants and the factors influencing adoption of viable options. The current study was designed to assess the state of food deficit among families and how they survived during lean periods. Several dynamics of food deficit (incidence, determinants, coping strategies and the challenges affecting the adoption of viable coping options) were examined using insights from the Mortimore and Adams model, Actor-oriented model and the sustainable livelihood framework. Four separate studies were carried out. A sequentially integrated mixed methods design was used, split into interconnected qualitative and quantitative research phases. Results of the first phase informed the second one. A multi-stage sampling procedure was followed leading to the selection of Chipinge district, wards and villages as the study areas. Data were collected from 120 randomly and purposively sampled respondents. A household questionnaire survey, key informant interviews, citizen jury, participatory mapping and focus group discussions were utilised to gather data. A tape recorder was used as an assistive device in data collection. A 7-day food recall method was used to collect data on coping mechanisms that participants preferred. Thematic content analysis was applied to bring meaning to qualitative data and interpreting participatory maps. The quantitative data were captured and analysed using the International Business Machines (IBM) Statistical Package for Social Sciences (SPSS) version 24.0. Descriptive statistics, Household Food Insecurity Access Scale (HFIAS), point score analysis, household food balance model and Coping Strategy Index were used to analyse quantitative data. Approximately, 81 % of the respondents reported that they were vulnerable to food deficit. Households headed by women, children and the elderly were food insecure. However, those headed by people more than 60 years old and children were the most food insecure


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