Factors that influence household food security in Hamburg and Melani, Eastern Cape, South Africa

Ningi, Thulani; Taruvinga, Amon; Zhou, Leocadia; Ngarava, Saul

doi:10.1080/20421338.2021.1927467

Cited by 15 publications

(23 citation statements)

References 30 publications

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“…The findings show that household size is positive and statistically significant, implying that additional members of a household would result in food insecurity. The results are consistent with studies conducted by Ningi et al (2021), Mazenda andMushayanyama (2021), andAzwardi et al (2019), which highlight that a rise in household size leads to food insecurity as many household members increase consumption, which raises the overall food insecurity status. Mojela et al (2018) and Oduniyi and Tekana (2020) argue that there is no evidence that household size and food insecurity are linked.…”

Section: Discussionsupporting

confidence: 90%

“…(2019), Mojela et al. (2018), Mthethwa and Wale (2021) and Ningi et al. (2021), who found that variables such as gender, race, food support and provision of a grant do matter for household food insecurity in the Gauteng City-Region.…”

Section: Discussionmentioning

confidence: 99%

“…For instance, Akinboade and Adeyefa (2017), Mojela et al. (2018) and Ningi et al. (2021) argue that sick people in urban areas tend to be food-insecure due to various factors limiting their participation in socio-economic activities, while other scholars, for instance, Mthethwa and Wale (2021), Oduniyi and Tekana (2020) and Mkhatshane (2019), are not able to identify any significant association between health status and household food security status.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

The invisible crisis: the determinants of local food insecurity in Gauteng municipalities, South Africa

Mazenda

Molepo

Mushayanyama

et al. 2022

BFJ

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PurposeThe purpose of this study is to estimate the determinants of household food insecurity in the Gauteng City-Region, South Africa. This is motivated by the fact that food insecurity remains a key challenge at the household level in South Africa. Furthermore, the Gauteng Province has been rapidly urbanising due to a migrant influx, both locally and internationally. The findings will assist the country in achieving its mandate on the local economic development policy, Agenda 2063 and the Sustainable Development Goals 1 and 2.Design/methodology/approachThe study adopted a quantitative cross-section design, utilising the binary logistic regression technique, drawing on the Gauteng City-Region Observatory Quality of Life 2020/2021 data, consisting of 13,616 observations, randomly drawn from nine municipalities in Gauteng City-Region.FindingsThe main findings of the study highlight unemployment, health status, education, household size, indigency and income as the main determinants of food insecurity in Gauteng City-Region. Policies towards sustainable urban agriculture, improving access to education, increasing employment and income, and health for all can help improve the food insecurity status of households in the Gauteng City-Region.Research limitations/implicationsFurther studies would require an in-depth assessment of household coping mechanisms, as well as the influence of household income (notably government social grants) and access to credit on household food security status, to better understand the dynamics of food security in the Gauteng City-Region.Practical implicationsDeterminants of food insecurity should be considered when developing and implementing policies to reduce food insecurity in urban municipalities.Social implicationsThe study is of interest as it interdicts food insecurity issues, which have an effect on socio-economic well-being.Originality/valueThe study adds value by providing evidence on the determinants of food insecurity in an urban setting in a developing country. Gauteng is the richest of all provinces in South Africa and is also at the receiving end of internal and international migration. Factors affecting food insecurity have changed in the nine cities. This compromises nutrition safety and calls for targeted policy interventions.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

The invisible crisis: the determinants of local food insecurity in Gauteng municipalities, South Africa

Mazenda

Molepo

Mushayanyama

et al. 2022

BFJ

Self Cite

View full text Add to dashboard Cite

show abstract

“…Socioeconomic conditions play a key role in the households' food security (Ningi et al, 2021). Human capital is one of the most important and widely studied determinants of food security (Alam et al, 2018; Ali et al, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Rural households' food security and its determinants in coastal regions of Bangladesh

Panezai

Moniruzzaman

Saqib

et al. 2022

Natural Resources Forum

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The coastal zone of Bangladesh is suffering from a wide range of climate change‐driven hazards. Limited attention has been given to these zones' food security assessment. Therefore, this study aims to assess the status of food security and its determinants among different groups of Bangladeshi coastal households. It also identifies their livelihood risks and coping strategies during stressed situations. Data were collected from 1350 households from coastal districts through a questionnaire survey. Food security was calculated and compared with the recommended average (2400 kcal/capita/day). A binary logit model was used to identify the determinants of food security among rural coastal households. Livelihood risks and coping mechanisms were recorded through open‐ended questions. The findings of this study revealed that although on average, sampled households were food secure (2753 kcal/capita/day), 81% of landless households and 72% of marginal landholders within the sample appeared food insecure. Among various food items, rice supplied the greatest total daily calorie intake (1841.47 kcal), second was the edible oil (172.27 kcal). The regression model revealed that farm size, farm income, off‐farm income, and crop production had positive impacts on households' food security. Floods, salinity, heavy rainfall, and reduction of land productivity were high risks to the large farm households, while heavy rainfall, floods, and salinity were high risks to the landless farm households. To cope with these risks, the majority of large farm households used their savings and sold livestock and poultry as coping strategies. The landless and marginal farmers were mostly helped by nongovernmental and government‐run organizations, moved elsewhere to find work, sold their labor, and were involved in fishing. It was concluded that different groups of farmers face different challenges. Our findings indicate that in order to protect landless and marginal farmers, government should implement policies aimed at increasing crop production by means of prioritizing saline‐tolerant crop varieties and the creation of more job opportunities.

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“…Ferrão [ 1 ] stated that hunger and malnutrition are caused by a lack of food and access to food. Ningi et al [ 56 ] stated that non-production factors consist of socio-economic and institutional factors such as gender, household size, energy security, and access to credit. Smith et al [ 42 ] added several other causes, including political instability, war and civil strife, macroeconomic imbalances and trade dislocations, environmental degradation, poverty, population growth, inadequate education, and poor health.…”

Section: Theoretical Framework and Hypothesismentioning

confidence: 99%

Effects of Corruption Control on the Number of Undernourished People in Developing Countries

Nugroho

Tovar

Bopushev

et al. 2022

Foods

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Developing countries will be home to 85% of the world’s population by 2030. Hence, it is important to ensure food security for them. This effort is not easy, as the number of undernourished people (NUP) in the world has increased. We investigated the impact of food and non-production factors on the NUP in developing countries. This study employed secondary data from 57 developing countries between 2002 and 2018. These countries come from three regions, namely Africa, Asia, and Latin America and the Caribbean. One-step and two-step generalized method of moments (sys-GMM) models were used to analyze the data. The findings showed that the food production index, cereal import dependency ratio, economic globalization index, and human capital index had different effects on the NUP in each region. The excellent news is that corruption control can help developing countries minimize their NUP. Based on the findings, we propose efforts to improve physical and economical food access and control corruption, and developing country governments and the international community must demonstrate a strong commitment to reducing the prevalence of undernourishment.

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Factors that influence household food security in Hamburg and Melani, Eastern Cape, South Africa

Cited by 15 publications

References 30 publications

The invisible crisis: the determinants of local food insecurity in Gauteng municipalities, South Africa

The invisible crisis: the determinants of local food insecurity in Gauteng municipalities, South Africa

Rural households' food security and its determinants in coastal regions of Bangladesh

Effects of Corruption Control on the Number of Undernourished People in Developing Countries

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