Your search found 5 records
1 Danso-Abbeam, G.; Ojo, T. O.; Baiyegunhi, L. J. S.; Ogundeji, A. A. 2021. Climate change adaptation strategies by smallholder farmers in Nigeria: does non-farm employment play any role? Heliyon, 7(6):E07162. [doi: https://doi.org/10.1016/j.heliyon.2021.e07162]
Climate change adaptation ; Strategies ; Smallholders ; Farmers ; Non-farm employment ; Economic activities ; Nonfarm income ; Diversification ; Households ; Participation ; Socioeconomic environment ; Models / Nigeria
(Location: IWMI HQ Call no: e-copy only Record No: H050418)
https://www.cell.com/action/showPdf?pii=S2405-8440%2821%2901265-2
https://vlibrary.iwmi.org/pdf/H050418.pdf
https://vlibrary.iwmi.org/pdf/H050418.pdf
(1.08 MB) (1.08 MB)
Non-farm employment in agrarian communities in developing countries has received a lot of attention. However, its role in implementing climate change adaptation strategies is rarely discussed. This study employs a cross-sectional data to examine whether rural households in Southwest Nigeria are increasing the extent of climate change adaptation practices through their participation in non-farm employment. To account for selectivity bias, the study used endogenous treatment effect for count data model (precisely Poisson) augmented with the inverse probability-weighted-regression-adjustment (IPWRA) estimator. Both estimators found that rural non-farm jobs increase smallholder farmers' adaptive capacities and that participants would have used less adaptation techniques if they had not participated in non-farm work. Efforts to boost rural development must provide more employment opportunities for farmers, particularly during the off-cropping time. This will help farmers improve their ability to adopt more climate change adaptation strategies and, consequently increase farm productivity.
2 Ojo, T. O.; Adetoro, A. A.; Ogundeji, A. A.; Belle, J. A. 2021. Quantifying the determinants of climate change adaptation strategies and farmers' access to credit in South Africa. Science of the Total Environment, 792:148499. (Online first) [doi: https://doi.org/10.1016/j.scitotenv.2021.148499]
Climate change adaptation ; Strategies ; Smallholders ; Farmers ; Agricultural credit ; Agricultural productivity ; Drought ; Risk ; Resilience ; Sustainability ; Policies ; Livestock ; Nonfarm income ; Agricultural training ; Gender ; Models / South Africa
(Location: IWMI HQ Call no: e-copy only Record No: H050471)
(1.22 MB)
The damaging effects of climate change on agricultural productivity are on the increase. Relevant adaptation strategies are important to cope with climate change risks and sustain agricultural productivity. This study employed descriptive statistics, multivariate probit (MVP) model and endogenous switching regression model (ESRM), to analyze the data collected using a survey questionnaire from four provinces in South Africa. The study estimated the determining factors influencing the adoption of climate change adaptation strategies and credit access among smallholder farmers in the study areas. The empirical results of the multivariate probit model showed that location, access to extension, non-farm income, farming experience, crop and livestock production, susceptibility, agricultural training and access to credit variables influenced the smallholder decision to adopt climate change adaptation strategies. On the other hand, the ESRM showed that location, age, marital status, gender among others, influenced the decision to adopt climate change adaptation strategies. The variables such as location, education, drought experience affected the smallholder farmers' access to credit. Thus, to improve the adaptive capacity of farmers, stakeholders and government must cooperate and collaborate to improve the conditions under which farmers can gain access to climate change information and suitable agricultural credit as well as policy incentives to ensure overall sustainability of the agricultural sector.
3 Hlatshwayo, S. I.; Ojo, T. O.; Modi, A. T.; Mabhaudhi, Tafadzwanashe; Slotow, R.; Ngidi, M. S. C. 2022. The determinants of market participation and its effect on food security of the rural smallholder farmers in Limpopo and Mpumalanga provinces, South Africa. Agriculture, 12(7):1072. [doi: https://doi.org/10.3390/agriculture12071072]
Markets ; Participation ; Household food security ; Smallholders ; Farmers ; Rural areas ; Access to information ; Food insecurity ; Agriculture ; Gender ; Socioeconomic environment ; Probit analysis / South Africa / Limpopo / Mpumalanga
(Location: IWMI HQ Call no: e-copy only Record No: H051304)
https://www.mdpi.com/2077-0472/12/7/1072/pdf?version=1658454749
https://vlibrary.iwmi.org/pdf/H051304.pdf
https://vlibrary.iwmi.org/pdf/H051304.pdf
(0.99 MB) (0.99 MB)
Addressing the disproportionate burden of food insecurity in South Africa requires targeted efforts to help smallholder farmers to access markets. The purpose of this study was to assess determinants of market participation and its contribution to household food security. The secondary data used in this study were collected from 1520 respondents; however, 389 smallholder farmers participated in the market. The Household Food Insecurity Access Scale revealed that out of the total sample size, 85% of the households were food insecure while 15% were food secure. Gender of household head, receiving social grants and higher wealth index positively impacted market participation. Having a family member with HIV had a negative impact on market participation among smallholder farmers. The results from the extended ordered probit regression model showed that household size, having a family member with HIV and agricultural assistance had a positive and significant contribution to the household food insecurity situation of the smallholder farmers. On the other hand, the educational level of household head, ownership of livestock, age of household head, gender of household head, and having access to social grants had a negative and significant effect on the food insecurity status. Access to education and the market can improve household food security. Linking smallholder farmers, particularly women and aged farmers, to markets should form an intrinsic part of the government’s efforts to improve farming and food security and increase access to diversified food.
4 Bhebhe, Q. N.; Ngidi, M. S. C.; Siwela, M.; Ojo, T. O.; Hlatshwayo, S. I.; Mabhaudhi, Tafadzwanashe. 2023. The contribution of trees and green spaces to household food security in eThekwini Metro, KwaZulu-Natal. Sustainability, 15(6):4855. [doi: https://doi.org/10.3390/su15064855]
Household food security ; Greenspace ; Trees ; Food insecurity ; Nutrition security ; Sustainability ; Food access ; Communities ; Income ; Poverty ; Socioeconomic aspects / South Africa / KwaZulu-Natal / eThekwini Municipality / Osindisweni / Maphephetheni
(Location: IWMI HQ Call no: e-copy only Record No: H051817)
https://www.mdpi.com/2071-1050/15/6/4855/pdf?version=1678347667
https://vlibrary.iwmi.org/pdf/H051817.pdf
https://vlibrary.iwmi.org/pdf/H051817.pdf
(1.20 MB) (1.20 MB)
One of the most significant issues faced by many low- and middle-income nations, including South Africa, is ensuring access to healthy, affordable, and sustainable food. South Africa is renowned worldwide for its rich biodiversity and a vast body of traditional knowledge among those who consume forest foods. However, despite ecological diversity, frequent barriers remain to getting diversified household diets. This study sought to investigate the contribution of trees and green spaces to household food security in eThekwini. A total of 280 households met the inclusion criteria and consented to participate in this study by responding to questionnaires. The collected data were analysed using descriptive statistics, the computation of the Household Food Insecurity Access Scale (HFIAS), and the Instrumental Variable Poisson model. The study’s results revealed that only 29% of the respondents were food secure, 36% were mildly food insecure, 27% were moderately food insecure, and 8% were severely food insecure. The Instrumental Variable Poisson model results revealed that cultivated green spaces, wealth index, gender, education level of the head of households, and grants had a negative correlation with household food insecurity. On the other hand, non-cultivated green spaces, local trees, age, marital status, number of dependents, and monthly income positively correlated with food insecurity. Given the existence of trees and green spaces in eThekwini, there is potential for food security solutions to be formed around both cultivated and uncultivated green spaces to promote sustainable access to food and nutritious diets in low-income households. Policy interventions should adopt an approach that encourages the incorporation of foods from both cultivated and uncultivated trees and green spaces in people’s diets.
5 Hlatshwayo, S. I.; Ngidi, M. S. C.; Ojo, T. O.; Modi, A. T.; Mabhaudhi, T.; Slotow, R. 2023. The determinants of crop productivity and its effect on food and nutrition security in rural communities of South Africa. Frontiers in Sustainable Food Systems, 7:1091333. [doi: https://doi.org/10.3389/fsufs.2023.1091333]
Agricultural productivity ; Crop production ; Food security ; Nutrition security ; Rural communities ; Smallholders ; Farmers ; Households ; Food insecurity ; Dietary diversity ; Irrigation systems ; Small-scale farming ; Models / South Africa / Mpumalanga / Limpopo
(Location: IWMI HQ Call no: e-copy only Record No: H051971)
https://www.frontiersin.org/articles/10.3389/fsufs.2023.1091333/pdf
https://vlibrary.iwmi.org/pdf/H051971.pdf
https://vlibrary.iwmi.org/pdf/H051971.pdf
(0.40 MB) (405 KB)
Introduction: High crop productivity has the potential to improve the food and nutrition security status of not only smallholder farmers but also households in general. However, smallholder farmers operate in a dynamic environment whereby their crop production is affected by various factors that hinder it from lessening food insecurity and malnutrition in rural areas. The study investigated the determinants of crop productivity and its effect on household food and nutrition security status in South Africa.
Methods: This study employed a quantitative research method. A total of 1520 households were selected using the multi-stage stratified random sampling technique. Out of the total sample size of 1520, 386 were crop producers, 176 producers were from Mpumalanga province, and 210 producers were from the Limpopo province.
Results and discussion: Most of the smallholder farmers do not have access to the irrigation system, mechanization, and agricultural inputs. The Household Food Insecurity Access Scale showed that most smallholder farmers were food insecure, with 78% of the farmers in each province found to be food insecure. The results from Household Dietary Diversity Score (HDDS) showed that in the overall sampled population, 50% of smallholder farmers had highly diverse diets. Only 50% of the smallholder farmers had high dietary diversity in each province. Irrigation systems and involvement in crop production had a positive influence on the crop productivity of smallholder farmers. The results from the Conditional Mixed Process (CMP) model showed that ownership of livestock, harvest, and disability in the family negatively impacted smallholder farmers' food security status while household size had a positive effect on the food security of smallholder farmers. The results also showed that social grants, agricultural assistance, and harvest had a negative impact on the nutrition status of smallholder farmers. While household size had a positive impact on the nutrition status of smallholder farmers.
Conclusion and recommendations: Factors such as irrigation systems and involvement in crop production influenced crop productivity. Household size influenced the nutritional status of smallholder farmers while harvest size affected the food security status. There is a need to encourage more households to get involved in farming. Government and non-governmental organizations need to support smallholder farmers with agricultural productive resources like irrigation systems to improve their crop productivity.
Methods: This study employed a quantitative research method. A total of 1520 households were selected using the multi-stage stratified random sampling technique. Out of the total sample size of 1520, 386 were crop producers, 176 producers were from Mpumalanga province, and 210 producers were from the Limpopo province.
Results and discussion: Most of the smallholder farmers do not have access to the irrigation system, mechanization, and agricultural inputs. The Household Food Insecurity Access Scale showed that most smallholder farmers were food insecure, with 78% of the farmers in each province found to be food insecure. The results from Household Dietary Diversity Score (HDDS) showed that in the overall sampled population, 50% of smallholder farmers had highly diverse diets. Only 50% of the smallholder farmers had high dietary diversity in each province. Irrigation systems and involvement in crop production had a positive influence on the crop productivity of smallholder farmers. The results from the Conditional Mixed Process (CMP) model showed that ownership of livestock, harvest, and disability in the family negatively impacted smallholder farmers' food security status while household size had a positive effect on the food security of smallholder farmers. The results also showed that social grants, agricultural assistance, and harvest had a negative impact on the nutrition status of smallholder farmers. While household size had a positive impact on the nutrition status of smallholder farmers.
Conclusion and recommendations: Factors such as irrigation systems and involvement in crop production influenced crop productivity. Household size influenced the nutritional status of smallholder farmers while harvest size affected the food security status. There is a need to encourage more households to get involved in farming. Government and non-governmental organizations need to support smallholder farmers with agricultural productive resources like irrigation systems to improve their crop productivity.
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