Search

The article presents and validates an extensive multivariate dataset that offers insights into water–energy–food (WEF) nexus governance for social justice at the intrahousehold, household, and community levels. The lack of insights in the WEF nexus debate that take social justice and governance into account is what spurred the data collection. The initial process involved scoping the originally selected investigated sites and their suitability. Once the research areas were identified, the data were collected from 1184 households in the Matatiele, Magareng, and Greater Taung Local Municipalities in South Africa, using a semi-structured questionnaire and KoboCollect software. The freely available software was installed on Android Tablets which were used by the enumerators. The questionnaires were initially piloted in Matatiele Local Municipality, testing for internal validity and skip patterns, as well as time to complete the questionnaire. The reliability of the Likert responses from the questionnaire was evaluated using Cronbachʼs alpha. The questionnaire was then refined for data collection and utilized a total of twenty-two (22) locally trained enumerators who were employed at the investigated sites. These enumerators were trained in administering the questionnaire and the use of the KoboCollect software used in data collection. The enumerators also received training on how to conduct the survey ethically, including informed permission, confidentiality, and the option to withdraw from the interview. The design of the data collection process was a cross-sectional survey that was conducted between 6 June and 4 August 2022, using purposive sampling. At the end of each data collection day, the enumerators uploaded their collected data into the KoboTool cloud, which allowed the lead in the survey to assess the data and effect any correctional measures on the questionnaire if the need arose. The enumerators also used a WhatsApp chat group to communicate real time opportunities and challenges in the questionnaire, which allowed the lead in the survey to constantly update the questionnaire. The multivariate questionnaire was divided into sections of socioeconomic and demographic characteristics, community-level governance, decision-making, food, energy, and water security, social justice, legal knowledge, and rights to utilize these resources. The dataset will be of significance to multi-disciplinary researchers focusing on WEF security, governance, and social justice in Southern Africa. Furthermore, environmental and sustainability practitioners can find valuable insights from the provided data. The employed methodology is replicable and adaptable, enabling real-time monitoring of social justice and governance in the context of food, energy, and water security. The real time monitoring of governance and social justice in water, energy and food allows for the possibility of continual data collection and updating, and if a longitudinal design is adopted, it can be used for impact inquiry of any interventions or policies.

The study assesses how access to climate services influences cropping decisions and, subsequently, household food security. Employing a cross-sectional research design, the study surveyed a total of 217 smallholder crop farmers selected through a multistage sampling approach. Data were collected using a semi-structured questionnaire, and both descriptive statistics and a propensity score matching (PSM) model were employed for data analysis. Household food security was assessed using households' dietary diversity. The study's findings highlight that 69% of the surveyed farmers had access to weather forecasts, while only 24% had access to seasonal forecasts. Consequently, farmers with access to climate services exhibited changes in their farming decisions, including daily farming activities, planting timing, crop selection, and land preparation. Notably, approximately 35% of the respondents were identified as food insecure. The application of the propensity score matching model revealed that access to climate services had a statistically significant positive impact on farmers' decision-making processes and household food security. These results underscore the potential of climate services to enhance farmers' decision-making capabilities and, subsequently, improve household food security. Considering these findings, it is recommended that efforts to expand access to climate services among smallholder farmers in South Africa should be intensified. This can be achieved by developing and disseminating more accessible and tailored climate information, including seasonal forecasts. In addition, initiatives should ensure that climate services are integrated into agricultural extension services and support systems to equip farmers with the knowledge and tools they need to make informed decisions. [ABSTRACT FROM AUTHOR]

Experiential learning and discovery through farmer field schools (FFS) have the potential to empower smallholder livestock farmers who face heightened vulnerability to climate change. However, there are various levels of learning and discovery in FFS that can inform smallholder livestock farmer knowledge and perception. Understanding this is vital, as farmers' perceptions influence their readiness to adopt climate-smart practices, informing effective resilience-building strategies. Therefore, this study sought to investigate and assess the impact of the FFS approach on smallholder livestock farmers' perceptions of climate change, taking Raymond Local Municipality in South Africa as a case. The design followed by the study was a longitudinal survey, with three pools each signifying various FFS intervention points. The study utilized simple random sampling to collect data from 80 smallholder livestock farmers using structured questionnaires in each of the three cross-sectional pools, while descriptive statistics, Min–Max Normalization, and t-tests were used for analysis. The results show that there was an increase in the awareness of climate change due to the interventions of the FFS. Furthermore, there are cumulative differences between the knowledge and perception towards climate change between the three pooled cross-sections. In conclusion, participating in FFS had a significant impact on farmers' level of understanding and adaptation to climate change. The study recommends that the government and policymakers extensively promote FFS and support them financially so that they can provide more support to rural farmers as well as enhance knowledge on climate change. This study recommends the provision of workshops and awareness campaigns on climate change for farmers through FFS as this will assist farmers to be more sustainable on their farming systems and production. [ABSTRACT FROM AUTHOR]

The objective of the study was to assess the determinants of the utilization of digital technologies by smallholder farmers in South Africa. A cross-sectional survey of 250 smallholder farmers was purposively sampled from Port St Johns and Ingquza Hill Local Municipalities. Binary and ordered logistic regression were used to analyse the data. The results show that 55% of the smallholder farmers were using digital technologies. Out of these, 40% were using smartphones and radio. Close to 47% of the smallholder farmers who were using digital technologies were using them to some extent and 65% had been using digital technologies for a period of 1–4 years. 89% of the smallholder farmers using digital technologies indicated that they are beneficial and 83% had opted to continue using digital technologies to increase their skills and knowledge. However, 44% of the smallholder farmers who had opted to discontinue the use of digital technologies indicated that these technologies were not beneficial for them. Overall, 85% of the smallholder farmers would recommend the use of digital technologies to other farmers. Factors such as age, educational level, marital status, full-time farming, and land size affected the utilization of digital technologies while age, marital status, educational level, full-time farming, household size, non-crop producing, and tenure affected the extent of digital technology utilization. The study concludes that the partial utilization of low-tech digital technologies is a socio-economic driver. Recommendations include the promotion of digital technologies, especially high-tech technologies, taking into account the socio-economic circumstances of smallholder farmers. [ABSTRACT FROM AUTHOR]

Food is one of the essential areas of service delivery required for a household's wellbeing and development. Against this background, the literature suggests a high level of food insecurity among rural households in South Africa. Thus far, this study has investigated drivers of household-level food insecurity. Data were collected from 283 randomly selected respondents from Melani and Hamburg communities using a structured questionnaire. An ordered logit regression model was used to investigate drivers of household food insecurity. Descriptive statistics results revealed that most of the respondents from the study areas were food secure to mildly food secure (Melani-inland -73%; Hamburg-coastal -77.5%). The findings suggest that overall, the two communities were food secure. Econometrics results further revealed that factors like gender, household size, energy security, access to credit, farming, land ownership, and being able to afford to pay for water influence food insecurity of households in Melani and Hamburg. Therefore, to reduce household food insecurity, the study recommends that priority should be given to these socio-economic and institutional factors. This could be through improving gender and cultural policies which restrict women from generating income, training households about credit usage, and family planning to limit household sizes. [ABSTRACT FROM AUTHOR]

Economic diversification transforms an economy to utilize multiple sectors for growth. The problem is that developing countries have been slow in shifting away from mineral-energy complex-based development. However, sector-heterogeneity either reduces or increases exposure and/or adaptive capabilities to greenhouse gas emissions. The objective of the study was to ascertain the relationship between economic diversification and carbon dioxide (CO2) emissions in South Africa. The study utilized the autoregressive distributed lag-error correction model (ARDL-ECM) and included macroeconomic variables such as gross domestic product (GDP), population, foreign direct investment and trade balance. The Tress Index of 10 industries was utilized to measure economic diversification. Annual data from 1993 to 2020 were used in the study. The study found that in the short run, CO2 Granger caused economic diversity but in the long run, there was no association. Population also had a long- and short-run relationship with economic diversification, while CO2 emissions had a long- and short-run relationship with GDP. The study concludes that there is a unidirectional causality between economic diversification and CO2 emissions in the short run and no relationship in the long run. Economic diversification should be considered in national, economic and climate change policies of the country. [ABSTRACT FROM AUTHOR]