Climate Change, Food Security and Sustainable Development in Africa

Tumushabe, Jennifer Turyatemba

doi:10.1057/978-1-349-95232-8_53

Cited by 46 publications

(33 citation statements)

References 2 publications

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“…Results from this study are corroborated by previous studies reporting that 235 million people are chronically hungry in SSA. Regarding causes, many factors, such as climate change, farm productivity and access to soil amendments, labour availability and family income, influence food insecurity in SSA (Mendum & Njenga, 2018;Tumushabe, 2018). Conflicts and insecurity are among the primary drivers of food insecurity in Africa.…”

Section: Discussion and Concluding Remarksmentioning

confidence: 99%

The Impact of Remittances on Food Security Status in the Global South

Ebadi

Ahmadi

Sirkeci

et al. 2018

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International remittances to developing countries attract increasing attention because of their rise in volume and their impact on the recipient countries. Receiving remittances from outside the country has become a household coping strategy that might reduce poverty, alleviate hunger, promote better diets and increase productive investments. The main purpose of this study is to investigate the link between receiving remittances and the food security status in the Global South countries. This is the first study that examines the association between food security and receiving remittances by using the Food Insecurity Experience Scale (FIES) for individuals in the Global South. Data were obtained from the 2017 Gallup World Poll (GWP), which interviewed face-to-face 68,463 individuals in more than 60 countries. We have found a significant association between receiving remittances and food security. In the unadjusted logistics regression, irrespective of geography, severe food insecurity was significantly related to not receiving remittances (OR=1.532; P= 0.000). Although receiving remittances seems to positively affect the food security status of individuals in the GS, the association might not apply to all countries in the analyzed sample.

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Section: Discussion and Concluding Remarksmentioning

confidence: 99%

The Impact of Remittances on Food Security Status in the Global South

Ebadi

Ahmadi

Sirkeci

et al. 2018

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“…Based on the cumulative normal probability distribution, the probit regression analysis takes on the values zero (0) and one (1) and is a commonly used model in social science research to analyse data where the dependent variable is dichotomous. A probit regression model was used to elicit the reasons that make the urban and peri-urban households to practice UPA activities or not.…”

Section: The Probit Regression Analysismentioning

confidence: 99%

“…The Food and Agriculture Organisation (FAO) of the United Nations (UN) and the World Bank set the eradication of hunger and poverty as their highest priority to be dealt with internationally [1]. The target date to achieve this goal and others was the year 2015 [2].…”

Section: Introductionmentioning

confidence: 99%

Does Urban and Peri-Urban Agriculture Contribute to Household Food Security? An Assessment of the Food Security Status of Households in Tongaat, eThekwini Municipality

Khumalo

Sibanda

2019

Sustainability

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Regardless of the steady increase in the economic growth of South Africa, poverty levels and food insecurity have not declined as one would have anticipated. Urban and peri-urban agriculture (UPA) presents an opportunity as a livelihood strategy to alleviate poverty and ensure household food security within the urban and peri-urban spheres. However, less research has been done in this area to discover the contribution of UPA on households’ food security. This paper assesses the food security status of households that practised any form of UPA activities (later on referred to the rest of this paper as UPA practising households) and those that did not (later on referred to the rest of this paper as non-UPA practising households) within the Tongaat peri-urban area of eThekwini Municipality. The specific objectives of the paper are to estimate the household food security status of the UPA practising households vis-à-vis the non-UPA practising households and to elicit the reasons associated with the practice of UPA activities. Two hundred and eight (208) households (that is 109 and 99 UPA and non-UPA practising households respectively) were selected using a stratified random sampling procedure. The Household Dietary Diversity Score (HDDS) and Household Food Insecurity Access Score (HFIAS) measures were employed to estimate a household’s food security status. A probit regression analysis was used to elicit the reasons associated with the practice of UPA activities by households. A non-parametric independent samples test (Mann-Whitney U) was used to compare whether there were significant differences between the two groups. A Pearson Chi-Square test reveals that the employment status, access to arable land, land tenure (ownership rights or arable land) and household monthly income variables were statistically significantly associated with the food security status (in terms of HDDS) of households. The results from the HDDS tool, show that a greater proportion (54%) of the UPA practising households consumed >6 food groups (deemed to be food secure in terms of dietary access) as compared to their counterparts, the non-UPA practising households (40%) in the same food group. However, the Mann-Whitney U test (U = 5292, p = 0.808) show that there was no significant difference from this data in terms of the dietary diversity (HDDS) of the two groups. The HFIAS measure reveal that a greater proportion (about 72%) of the UPA practising households indicated that they never or rarely worried about food shortages (deemed to be food secure in terms of food access) as compared to their counterparts—the non-UPA practising households (about 61%) that never or rarely worried about food shortages. The Mann-Whitney U test (U = 4118.5, p = 0.001) show that there was a significant difference in terms of food access (HFIAS) of the two groups. Overall, the results show that although UPA practising households seemed to be better off in terms of food access as compared to the non-UPA households, the results are inconclusive or show no evidence that a significant difference existed concerning dietary diversity of the two groups. The probit regression analysis shows that the variable arable land size (p = 0.000) has a positive correlation with the practice of any UPA activity. In order for UPA to enhance the household food security status (particularly in terms of dietary diversity) within the peri-urban spheres, an integrated approach (with agricultural land support from government and city planners) together with the diversification of high-value UPA activities by households is paramount.

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“…21 Changes in precipitation can also impact food production and food security, with possible implications for malnutrition, already a concern in South Africa. 22 Climate change health impacts are not mentioned in the White Paper on NHI but this should not suggest that health-care professionals in South Africa are unaware of them.…”

Section: Possible Direct and Indirect Impacts Of Climate Change On Nhimentioning

confidence: 99%