Browsing by Author "Muzah, Onismo."

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An assessment of household food security in urban and peri-urban areas : a case study of Bindura Municipal area, Mashonaland central, Zimbabwe.
(2015) Muzah, Onismo.; Mudhara, Maxwell.
Urban household food security is gradually being recognised as a developmental challenge in sub-Saharan Africa, in general, and in Zimbabwe, in particular. The increase in the prices of food and high unemployment in Zimbabwe has made it difficult for the population, particularly for the urban poor, to meet their food requirements. This has affected the livelihoods patterns of the poor staying in urban and peri-urban areas. There are many complex reasons which make households food insecure. Poverty is mainly the driving factor due to lack of resources to purchase or procure food at household level. Poverty, combined with other socioeconomic and political problems, creates the bulk of food insecurity problems in urban and peri-urban areas. This study aimed to contribute to a better understanding of the nature and dynamics of urban and peri- urban household food security in Zimbabwe. The first objective of this study explored urban household livelihoods in Bindura Municipal area (Zimbabwe), by describing livelihood patterns, coping strategies and distinguishing between food secure and insecure households, using descriptive statistics. The second objective investigated the determinants of household food security among urban and peri-urban households. Lastly, the study evaluated the extent of urban and peri-urban household food security, by looking into their nutritional security and how this affects their welfare. Purposive sampling technique was employed to select 200 households in Bindura Municipal area. A structured questionnaire using multiple HFS measurement tools were used in this study, including Household Food Insecurity Access Scale (HFIAS), Household Dietary Diversity (HDD) and Coping strategy Index (CSI). The ordered probit regression model was used for assessing determinants of household food security, using the HFIAS as the depended variable. The results revealed that educational level, occupation, household expenditure on nonfood items, marital status and gender significantly affect household food security. The Tobit model was used to measure the extent of households’ nutritional security, using HDD as an indicator of food security. The results indicate that educational level, occupation and household expenditure positively influenced household dietary diversity and sources of vegetables negatively influenced household food security. This study concluded that urban farming has the potential for increasing household food security; and that; the government in collaboration with local authorities, should develop policies that improve access to land, particularly in peri-urban areas.
A synthesis of rural livelihood approaches in analysing household poverty, food security and resilience: A case study of Rushinga rural district in Zimbabwe.
(2018) Muzah, Onismo.; Green, Jannette Maryann.
Understanding rural livelihoods is an important goal to achieve the Sustainable Development Goals in Zimbabwe, in particular eradicating poverty and food insecurity in every household. Even though livelihoods of the rural poor are susceptible to recurrent shocks, risks and stresses, fostering resilience on rural livelihood approaches is a significant remedy for achieving household well-being. However rural livelihood failure to mitigate widespread poverty and food insecurity have never been adequately examined or explained in a context that can encourage rural development policies. The study provides a comprehensive analysis of livelihood approaches, specifically endeavouring to answer the following questions: What livelihood factors determine rural poverty and its dimensions in the study area? What is the extent of household vulnerability to food insecurity? Is the degree of livelihood resilience and adaptation to attain food security sustainable? The main objective of the study was to use the concept of livelihoods as the springboard to analyse and measure household vulnerability to poverty and food insecurity as well as the level of rural resilience. The study focused on three distinct Wards in the Rushinga District, Zimbabwe. The multi-stage sampling procedure was adopted to select fifteen villages and simple random sampling was used to select 300 households for the survey, 100 from each Ward and 20 from each village. The household level was used as the appropriate unit of analysis, because on aggregate, pooling of labour, consumption, resources, coping and survival strategies are relatively identified from a household perspective, as a common unit of analysis. Data analysis employed econometric models to compare livelihood outcomes from different socio-economic variables included in the study. Descriptive statistics such as chi-square, t-test, mean, percentages and frequencies were used to answer the objectives of the study and test the hypothesis. A theory of rural livelihood approaches was developed using conceptual frameworks compatible to the context of the study; the Sustainable Livelihood Framework (SLF), micro-level food security framework and the Resilience Framework (RF). In other words, the frameworks strive to explain that positive household well-being is a result of successful livelihood approaches and negative well-being is the result of livelihood failure. The Sustainable Livelihood Framework is an appropriate checklist tool to understand how poverty is influenced by socio-environmental factors, and also important for eradication models. It describes the relationship between the environmental context and the capitals or assets available to the rural poor. In negotiating possible livelihood outcomes, the poor select from a range of available options within a particular context and locality, and the study shows that natural and social capital are easily available to the poor. The Food Security Conceptual Framework (FSCF), just like the SLA, identifies the reason some households become food secure and some food insecure. It is because livelihood activities, processes and outcomes differ from one household to the other. Household food security is a function of availability and access to adequate food, both dimensions hinge on resource endowments to acquire sufficient food. Furthermore, the stability of availability and access to food is considered an important dimension of food security as well as utilisation which has a bearing on nutritional security. Utilisation is considered a biological perspective of food security; as the ability of the human body to ingest and metabolise food. Because of the vulnerability context within livelihood approaches, which eventually result in poverty traps, the study shows that the poor find themselves food insecure. When compared to resourceful households who are food secure, they have the capacity to produce and procure adequate food. In other words, food insecurity in the District was a result of poverty, as the poor lack the means to pursue other livelihood options. The Resilience Framework improves the understanding of how the interaction of capacity, socio-economic and environmental factors affect rural livelihoods and household consumption welfare. The study revealed that highly exposed and sensitive livelihood systems eventually “collapse”, leading to vulnerability to food insecurity as compared other household’s livelihood systems which were highly adaptive, resulting in easy “bouncing back” to normal household’s functions. Thus, livelihood approaches, in complex rural context, can only be sustainable to warrant food security if strengthened by the resilience of socio-ecological structures. Quantitative estimation of the dimensions of poverty measured in monetary metrics and food insecurity measured in calorie intake per adult equivalence using the Foster, Greer and Thorbecke (FGT) indices revealed that 70% of households were poor, thus, living below absolute food poverty line, average poverty gap was 38% and severity 15%. The prevalence calls for relevant stakeholders like the government to scale up efforts to minimize household poverty. Since poverty in this study was measured in terms of expenditure on food, household’s lack of purchasing power means households could be food insecure. Generally, the prevalence of food insecurity was high in the District; 60% households were deemed food insecure, the depth of food shortage per adult equivalence was 24% and the inequality among the food insecure households themselves was 13%. Notably, the results indicated that poverty and food insecurity were gender skewed and geographically concentrated. There were more poor female headed-households than male-headed households, and concentration of household vulnerability to food poverty in Ward 12 signals geographical poverty. This all points to inequality when it comes to controlling and access to key productive resources to enhance their livelihoods. At the household level, food insecurity alleviation strategies and policies should aim to empower women and transform the livelihood choices and priorities of vulnerable groups in society. The study revealed a strong relationship between geographically defined factors and level of well-being. Spatial disparities in living standards were caused by the existence of geographical poverty traps which caused cycles of livelihood failure, for example, inequality in resource endowments, education and health services and a host of other social economic factors. To examine the determinants of poverty, the study utilized a binary logic model. The results of the econometric model revealed that rural poverty is linked to geographic location, dependency ratio, marital status, total monthly income per capita, asset endowment, access to support services and maize yield (statistically significant at 10% and below). The implication of this result is that not a single livelihood predicator can cause poverty. These variables interact at a scale beyond the control of households, causing households to fall into severe poverty, over a given point in time. A binary logit model was also used to estimate the determinants of household food security, daily calorie availability per adult equivalence was adopted as the dependent variable. The results showed that household food insecurity was linked to dependency ratio, per capita monthly income, the value of assets, total livestock units (TLU) and maize yield. In the rural context, there was a link between the predictors of poverty and food insecurity. Whenever poor households were confronted with either transitory or chronic food insecurity, they developed mild, moderate and more severe food deficit coping strategies. Generally, the households in the study used minimal coping strategies, the cause was attributed to the availability of external aid rationings which eased the severity. Even though the utility of natural resources, in particular, land-based activities, constituted an important source of livelihoods, as Zimbabwe is regarded an agricultural economy, the sector has become a poverty and food insecurity trap. At the same time, results exhibited rural livelihood transition from conventional activities. In the rural context, the transition is owed to uncertainty in agriculture, because of erratic rainfall, shortage of labour, high costs of inputs, land degradation, among other factors. Resilience is a developing research discipline in the wake of climate change, described in different ways and understood in complex dimensions depending on context. In the context of rural livelihoods, it is described as the capacity of the rural economy to simultaneously balance social, economic, ecosystem and cultural functions when confronted with predicted or unpredicted vulnerability. As such, rural livelihood resilience is the ability of the socio-ecological system to cope, adapt absorb and transform from change. This study strives to quantitatively measure resilience in the domain of food security. Food security is an important aspect that every household strives to achieve. High costs of farm inputs, market failure, and rising food costs were among notable shocks uncounted by households in the study. However, agricultural drought was the major livelihood threat to land-based activities, as nearly 94% of interviewed households who relied on own production for their food security recorded absolute crop failure. To measure household resilience against food insecurity, the study used two-stage factor analysis using the Principal Component Factor method. The model considers resilience against food insecurity as available household options over a given time. Among other options, adaptive capacity is the most important livelihood option, which is the ability of a system to adjust and take advantage of opportunities in order to offset risks and shocks. Access to natural resources was not significant enough to explain resilience against food insecurity, this is mainly attributed to degradation of the resources or inequitable access, for example to land. Validation of the mean resilience index indicates that livelihood diversification correlates with high resilience because of high adaptive capacity as compared to a single livelihood option. The mean resilience index also revealed that male-headed households improved adaptive capacity, given their better access to resources, whereas female-headed remained vulnerable because they were either involved in non-diversified livelihoods or they are constrained in accessing productive assets and low endowment in human capital. Thus, rural development policies should spur livelihood diversification as core resilience strategy against food shortages.