Climate change is one of the most important environmental issues facing the world today. The impact of climate change is a reality and it cuts across all climate-sensitive sectors including the Agriculture sector. It is well documented by several scientists, Intergovernmental Panel on Climate Change and other experts that climate change threatens sustainable economic development and the totality of human existence. This study will enable small scale maize farmers in Mpumalanga province to understand the challenges and the threat posed by climate variability and climate change. The study was conducted in Nkangala District, Mpumalanga province. Mpumalanga province remains the largest production region for forestry and the majority of the people living in Mpumalanga are farmers and they have contributed immensely to promote food security. However, due to the threat by climate variability and change, sectors such as the Agriculture, Water etc are experiencing the following pattern: (a) Putting livelihoods and food production at serious risks due to extreme climatic events, climate variability and change. It was noted that there is a need for climate change awareness across the agriculture sector. Currently, there is enough evidence that shows that climate change is affecting different elements of agriculture such as crops and livestock. Random sampling technique was used to select two hundred and fifty farmers to be interviewed. The questionnaires were administrated to household head farmers and included matters relating to household general information, climate change awareness, land characteristics, observation on climate change and agronomic practices including maize production. Data was analysed using the statistical for social sciences (SPSS version 20). Descriptive statistics was used to describe data and Univariate regression analysis was conducted to demonstrate the relationship and association of variables. It was noted that the majority of farmers in this province need capacity building and also climate change awareness initiatives which would assist these farmers to build the adaptive capacity, increase resilience and reduce vulnerability. By coming up with these kind of interventions it is believed that some of these farmers would be able to change their farming methods, diversify their cropping systems and also introduce drought tolerant crops in order for them to have good yields and also be able to generate good income.
Adaptation to climate change varies according to regions, it could be effective in relation to people and their locations. Adaptation to climate change in sub-Saharan Africa is different from that of developed countries, as resources are limited. This study was conducted in Ngaka Modiri Molema District Municipality in North West Province of South Africa. This study examined the determinants of climate change adaptation strategies among rural farmers' households in the study area. A total number of 346 questionnaires were administered to the farmers in the district using the stratified random sampling technique. Data were captured and analyzed using SPSS and EVIEWS software. Multicollinearity analysis was first performed to remove highly correlated variables from the model followed by the use of Tobit regression analysis. The results of the analysis indicated that farm size (p < 0.01), gender (p < 0.01), type of farm (p < 0.05), farm ownership (p < 0.05), land acquisition (p < 0.01), source of climate change information (p < 0.01), support received on climate change (p < 0.1), and adaptation barrier were statistically significant (p < 0.01) and influenced climate change adaptation strategies. The study concluded that to support climate change adaptation among the rural farmers in the study area, considerable attention should be paid to understanding the socio-economic characteristics of the rural households, source of information and support received on climate change.
Zimbabwe has recently experienced a considerable shift towards the production of more cash crops, such as tobacco, at the expense of food crops. Although cash cropping has been associated with increased income, the question is whether the income gained from cash crops would be enough to provide the food needs of farming households. This research was conducted to analyse the impact of cash crops on household food security. A cross-sectional survey consisting of 281 randomly selected smallholder farmers in Shamva District was used for primary data collection. Data were analysed using the Tobit regression model and Propensity score matching (PSM). The household dietary diversity score (HDDS) was used to measure food security. The PSM results showed a positive impact of cash crop production on the HDDS. This could be attributed to the income effect of cash cropping. Furthermore, Tobit regression results showed that cash crop production (p < 0.1), non-farm income (p < 0.01), total arable land (p < 0.05) and access to draft power (p < 0.05) positively influenced household food security. Household size negatively impacted food security (p < 0.05). While the results from this study suggest the need to promote cash crop production, it should not be regarded as the panacea for addressing food insecurity. There is a need for further research to derive optimum combinations of cash and food crops in the crop mixture for smallholder farmers to achieve food security. Furthermore, opportunities for off-farm livelihood options should be developed, since non-farm income had a positive effect on food security.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.