scholarly journals Determinants of Climate Change Awareness among Rural Farming Households in South Africa

2018 ◽  
Vol 10 (5(J)) ◽  
pp. 116-124 ◽  
Author(s):  
Oduniyi Oluwaseun Samuel ◽  
Antwi Micheal ◽  
Busisiwe Nkonki-Mandleni
Keyword(s):  
Climate Change ◽  
South Africa ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Farm Size ◽  
Binary Logistic Regression Model ◽  
African Countries ◽  
North West ◽  
Climate Change Information ◽  
Farming Households

Climate change and rural livelihood capitals remain the major inextricable dimensions of sustainability in this twenty-first century globally. It is known to be an important challenge facing food security status among African countries. Additionally, it is an indisputable fact that climate change and agriculture are intertwined. In view of this, climate change awareness needs to be strengthened in the rural farming households. The study was carried out in Ngaka Modiri Molema District Municipality, in the North West Province of South Africa to determine awareness of climate change. Stratified random sampling technique was used to select three hundred and forty-six (346) farmers who were interviewed from the study area. Data were analyzed using statistical package for social sciences (SPSS). The binary logistic regression model was employed to analyse the factors driving climate change awareness. The study established that majority of the rural farmers in the study area aware of climate change, in which farm size, education, who owns the farm, information received on climate change, source of climate change information, climate change information through extension services, channel of information received on climate change and support received on climate change are statistically significant (p<0.05) determinants of climate change awareness in the study area.

scholarly journals Household Food Security Status and Its Determinants in Maphumulo Local Municipality, South Africa

2018 ◽  
Vol 10 (9) ◽  
pp. 3307 ◽  
Author(s):  
Primrose Ngema ◽  
Melusi Sibanda ◽  
Lovemore Musemwa
Keyword(s):  
South Africa ◽  
Food Security ◽  
Food Consumption ◽  
Dietary Diversity ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Household Food Security ◽  
Binary Logistic Regression Model ◽  
Household Food ◽  
Food Security Status

Food security at the household level remains a major issue in South Africa and for many other developing countries, particularly those in Africa. As a means of ensuring food security in KwaZulu-Natal province, various food security intervention programmes were launched. Nonetheless, food security remains an issue among households in the province. This paper estimates the household food security status of the “One Home One Garden” (OHOG) beneficiaries against that of non-beneficiaries and assesses the determinants of household food security status in Maphumulo. A stratified random sampling technique was used to sample 495 households (including 330 OHOG beneficiaries and 165 non-beneficiaries). The status of household food security was estimated by means of a “Household Dietary Diversity Score” (HDDS). Additionally, a Household Food Consumption Score” (HFCS) tool was employed to supplement the HDDS. The results showed that food consumption patterns were characterized by medium (4.89) and average (4.22) HDDS for the OHOG beneficiaries and non-beneficiaries, respectively. Taking HDDS as a proxy for household food security, an independent samples t-test (Levene’s test—equal variances assumed) reveals a significant (p < 0.001) relationship between the sample means of the two groups. A greater proportion (65%) of the OHOG beneficiaries had an acceptable (≥35) HFCS level, whereas just over half (54%) of the non-beneficiaries fell in the borderline (21.5 to 35) HFCS level. The determinants of household food security status were elicited by means of a binary logistic regression model. The results revealed that education (p = 0.036), receiving infrastructural support (irrigation) (p = 0.001), and participation in the OHOG programme (p = 0.000) positively influenced the food security status of households, yet household income (p = 0.000) and access to credit (p = 0.002) showed a negative correlation. This paper proposes that government and developmental agencies, in their efforts to enhance food security through food security intervention programmes, should support households by investing in education and agricultural infrastructure, as well as giving priority to smallholder infrastructural irrigation support for households that largely rely on rain-fed systems.

scholarly journals Migration among Farmers in Delta State, Nigeria: Is it a Climate Change Adaptation Strategy?

2020 ◽  
Author(s):  
Albert Ofuoku ◽  
Davina Okompu
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Binary Logistic Regression ◽  
Adaptation Strategy ◽  
Farm Families ◽  
Binary Logistic Regression Model ◽  
Extension Services ◽  
Coping Capacity ◽  
Significant Difference ◽  
Farming Households

Abstract Objective: The study has the purpose of evaluating the nexus between climate change and migration of farmers in Delta State, Nigeria. The influence exerted by cognitive situations and climate – driven stress on farmers’ decisions to migrate and the socioeconomic attributes of migrating and non-migrating farm families are examined. The emphasis is the function of migration in accessing climate and agricultural extension services as well as the contribution made by migration to promote farmers’ climate change coping capacity.Methodology: Survey was articulated using farming households in three agricultural zones of Delta State, Nigeria. Perceptions of farmers about alterations in climate were examined with the use of mental map technique. Binary logistic regression model was applied to assess the function of socioeconomic attributes of farm families while descriptive statistics was employed in evaluating the adaptive capacities of the migrating farming households.Findings: Climate – driven livelihood variables form part of the main propellers of migration among farmers. Migration as well as the socioeconomic attributes are influenced by perception of farmers about climate change. These appears significant difference between migrating and non-migrating farm families with respect to utilization of information, technology and knowledge emanating from agricultural and climate extension services. The gains from remittances, knowledge and social networks from host communities or zones raises migrating farm families capacity to adapt to climate change.Theoretical Implications: This paper contributes to the progressively dynamic body of knowledge by pointing out migration as an alternative climate change adaptation strategy to promote agriculture food security in any part of the world.Originality/Value: Micro – evidence is offered by this study with respect to contribution made by migration to adaptive capacity of farmers and their ability to have access to agricultural and climate extension services. This will be useful in the analysis of climate – driven migration in other nations that are agricultural economies. Insight is also offered regarding policy needs for the scaling down of farmers’ vulnerability to climate change.

scholarly journals Institutional Factors Affecting Farmers’ Decision to Adapt to Climate Change

2020 ◽  
Vol 12 (10) ◽  
pp. 50
Author(s):  
Mpho Tshikororo ◽  
Phineas Khazamula Chauke ◽  
Jethro Zuwarimwe
Keyword(s):  
Climate Change ◽  
Focal Point ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Limpopo Province ◽  
Institutional Factors ◽  
Cluster Sampling ◽  
Adaptation To Climate Change ◽  
Binary Logistic Regression Model ◽  
Extension Services

Adaptation to climate change has become the global focal point especially in recent years. Researchers have defined adaptation to climate change as an effective way for farmers to survive in the face of the scourge. This paper investigated how institutional factors plays a role in farmers&rsquo; decision to adapt to climate change. The population of the study was emerging farmers drawn from five districts of the Limpopo province of South Africa. The study used a two-stage cluster sampling technique to select a sample size of 206 emerging farmers. The dependent variable of the study was farmers&rsquo; decision to adapt to climate change while the explanatory variables consisted of institutional factors such as access to extension services, farmers&rsquo; organisation, membership and access to climate change information. Binary Logistic Regression model was used to determine emerging farmers&rsquo; decision to adapt to climate change in Limpopo province. The results showed that institutional factors such as access to both weather information and extension services together with special training on climate change adaptation significantly influenced farmers&rsquo; decision to adapt. Therefore, the study recommended participation of different stakeholders to provide institutional support to farmers and thus enhance their extent to adaptation.

scholarly journals Poverty and its Alleviating Strategies among Rural Farming Households in Benue State, Nigeria

2021 ◽  
Vol 21(36) (2) ◽  
pp. 33-44
Author(s):  
Samuel Upev ◽  
Amurtiya Michael ◽  
Shuaibu Mshelia ◽  
Justice Onu
Keyword(s):  
Social Protection ◽  
Household Head ◽  
Sampling Technique ◽  
Poverty Measurement ◽  
Farm Size ◽  
Binary Logistic Regression Model ◽  
Poverty Status ◽  
The Government ◽  
Household Heads ◽  
Farming Households

The study analysed rural farming households’ poverty status and alleviating strategies in Benue State, Nigeria. The specific objectives of the study were to: describes the rural household heads’ socio-economic characteristics; determine the poverty status of the respondents and its determinants; and identify poverty alleviating strategies of the respondents. Data for the study was collected from 420 respondents selected using a multi-stage sampling technique. Data collected were analysed using descriptive statistics, the Foster-Greer-Thorbecke poverty measurement index, and the Binary Logistic regression model. The findings of the study revealed a very high incidence of poverty (70%), having a gap of 0.34, and severity of 0.17. Poverty in the area is positively associated with the age of the household head and household size, while gender, educational level, off-farm activity, membership of a group, farm size, and land ownership are negatively associated with poverty. The common poverty alleviation strategies identified were agricultural wage labour (48.6%), rental services (45.0%), and transportation business (36.7%). Therefore, it was recommended that the government and other stakeholders should initiate sustainable social protection schemes that can assist rural residents in alleviating poverty until their condition improves.

scholarly journals Adoption of agroforestry practices and climate change mitigation strategies in North West province of South Africa

2019 ◽  
Vol 11 (5) ◽  
pp. 716-729 ◽  
Author(s):  
Oluwaseun Samuel Oduniyi ◽  
Sibongile Sylvia Tekana
Keyword(s):  
Climate Change ◽  
South Africa ◽  
Greenhouse Gas Emission ◽  
Causal Effect ◽  
Information Source ◽  
Sampling Technique ◽  
Mitigation Strategies ◽  
Content Type ◽  
North West ◽  
Agroforestry Practices

Purpose It is globally accepted that climate change is presently the greatest threat to the sustainability of human livelihood and biodiversity. Most farmers in the study area are highly aware of climate change and its consequences on the farming system; however, mitigation strategies are clearly lacking. Among the mitigation, mechanism to reduce the threat is achieved by increasing the amount of carbon sinks and reducing greenhouse gas emission through the adoption of agroforestry practices. The purpose of this study is to determine if awareness on climate change leads to the adoption of agroforestry practices, and to examine the determinants. Design/methodology/approach A total number of 117 questionnaires were administered to the farmers in the district using stratified random sampling technique. Data were captured and analysed using STATA and XLSTAT software. Descriptive statistics and Heckprobit sample selection model were used to determine the objectives of the study. Findings The result established that climate change awareness does not lead to the adoption of agroforestry in the study area in which information source and member’s association were statistically significant at (p < 0.1) and (p < 0.05), respectively, and determine the adoption of agroforestry practices, while farming experience (p < 0.1), age (p < 0.05), extension visit (p < 0.05) and education (p < 0.1), were the determining factors that influence the awareness of climate change in the study area. Practical implications Regular number of extensions visit, information and training on agroforestry should be provided to the farmers in the study area. Social implications Farmers’ association should be strengthened among the rural farmers. Originality/value The causal effect or relationship of climate change awareness on mitigation through the practice of agroforestry in South Africa, especially in the study area, has not been measured. This research set a pace in the area of climate change awareness leading to mitigation strategies through the use of agroforestry practices as an option to be used in the rural farming area of South Africa.

scholarly journals Climate Change and Health Preparedness in Africa: Analysing Trends in Six African Countries

2021 ◽  
Vol 18 (9) ◽  
pp. 4672
Author(s):  
Samuel Kwasi Opoku ◽  
Walter Leal Filho ◽  
Fudjumdjum Hubert ◽  
Oluwabunmi Adejumo
Keyword(s):  
Public Health ◽  
Climate Change ◽  
South Africa ◽  
Human Health ◽  
Health Systems ◽  
Health Professionals ◽  
Health Problems ◽  
Sub Saharan Africa ◽  
Basic Knowledge ◽  
African Countries

Climate change is a global problem, which affects the various geographical regions at different levels. It is also associated with a wide range of human health problems, which pose a burden to health systems, especially in regions such as Africa. Indeed, across the African continent public health systems are under severe pressure, partly due to their fragile socioeconomic conditions. This paper reports on a cross-sectional study in six African countries (Ghana, Nigeria, South Africa, Namibia, Ethiopia, and Kenya) aimed at assessing their vulnerabilities to climate change, focusing on its impacts on human health. The study evaluated the levels of information, knowledge, and perceptions of public health professionals. It also examined the health systems’ preparedness to cope with these health hazards, the available resources, and those needed to build resilience to the country’s vulnerable population, as perceived by health professionals. The results revealed that 63.1% of the total respondents reported that climate change had been extensively experienced in the past years, while 32% claimed that the sampled countries had experienced them to some extent. Nigerian respondents recorded the highest levels (67.7%), followed by Kenya with 66.6%. South Africa had the lowest level of impact as perceived by the respondents (50.0%) when compared with the other sampled countries. All respondents from Ghana and Namibia reported that health problems caused by climate change are common in the two countries. As perceived by the health professionals, the inadequate resources reiterate the need for infrastructural resources, medical equipment, emergency response resources, and technical support. The study’s recommendations include the need to improve current policies at all levels (i.e., national, regional, and local) on climate change and public health and to strengthen health professionals’ skills. Improving the basic knowledge of health institutions to better respond to a changing climate is also recommended. The study provides valuable insights which may be helpful to other nations in Sub-Saharan Africa.

scholarly journals Farmers’ Willingness to Pay for Index-Based Livestock Insurance in the North West of South Africa

Climate ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 47
Author(s):  
Oluwaseun Samuel Oduniyi ◽  
Michael Akwasi Antwi ◽  
Sibongile Sylvia Tekana
Keyword(s):  
South Africa ◽  
Willingness To Pay ◽  
Heat Waves ◽  
Contingent Valuation Method ◽  
Sample Selection ◽  
Rural Livelihoods ◽  
African Countries ◽  
Cross Sectional ◽  
North West ◽  
The North

Rural livelihoods in most developing countries are threatened by climate-related risks such as drought, flood, heat waves, storms, and so on. Although farmers have adopted several adaptation strategies, they have proven less effective than hoped. Hence, index-based livestock insurance, an innovation that significantly assists farmers to acclimatise to climate-related risks, has been proposed; and its adaptability has attracted a notable increase in other African countries. However, the success of its adoption is dependent on the inclination of the farmers to pay for the service. Accordingly, this study investigates their willingness to pay for index-based livestock insurance and its determinants, and the factors influencing the total livestock units to be insured in the North West province of South Africa. Cross-sectional data were obtained from 277 cattle farmers, drawn randomly from the study area. The contingent valuation method was applied to determine the farmers’ willingness to pay; and only 10.8% were willing to pay. Simultaneously, the Heckit sample selection model was used to analyse the data to identify the factors responsible for farmers’ willingness to pay and total livestock units to insure. The findings revealed that farmer’s experience, age, education, marital status, awareness of insurance and household dependents were statistically significant, and influenced the maximum price R600 ($42, max willingness to pay, WTP) of those who accepted index-based livestock insurance. However, by implication, the study concluded that to adopt index-based livestock insurance in the study area among the livestock farmers, there should be policies to cater for the aforementioned factors.

scholarly journals Evaluation of Factors Influencing the Inclusion of Indigenous Plants for Food Security among Rural Households in the North West Province of South Africa

2020 ◽  
Vol 12 (22) ◽  
pp. 9562
Author(s):  
Abiodun Olusola Omotayo ◽  
Adeyemi Oladapo Aremu
Keyword(s):  
South Africa ◽  
Logistic Regression ◽  
Food Security ◽  
Food System ◽  
Rural Households ◽  
Binary Logistic Regression ◽  
Indigenous Plants ◽  
North West ◽  
The North ◽  
North West Province

Underutilised indigenous plants can support and strengthen the existing food system, as they are considered as socio-economically and environmentally appropriate. These plants generally adapt to marginal conditions, which is essential for a resilient agriculture and sustainable food systems. The current study relied on food security and indigenous plants data collected from some selected rural households from the North West Province of South Africa. The utilised data were collected through a multi-stage sampling technique with the aid of a pre-tested semi-structured questionnaire, while descriptive methods Foster–Greer–Thorbecke (FGT) and binary logistic regression were used for data analysis. The models produced a good fit for the data, and the computed F-value was statistically significant (p < 0.01). The study examined socio-economic and food security status based on the knowledge and the perception of indigenous plants by the households. The incidence of food insecurity (θ0) was 0.4060, indicating that 40.6% of the participants were food insecure while 59.4% were food secured. Binary logistic regression results indicate that factors such as age, gender, educational attainment, inclusion of indigenous plants in diet, food expenditure, and access in the study area impacted results. It was also evident that the participants had considerable knowledge of indigenous plants. However, these indigenous plants were not cultivated or included in the diet by the majority of the participants. The formulation of appropriate holistic policies that support the incorporation of the indigenous plants into the food system is recommended.

scholarly journals Determinants of adaptation strategies to climate change among the smallholder farmers in Adama District, Ethiopia

2020 ◽  
Vol 12 (4) ◽  
pp. 463-476
Author(s):  
Hurgesa Hundera Hirpha ◽  
Sylvester Mpandeli ◽  
Amare Bantider
Keyword(s):  
Climate Change ◽  
Logistic Regression ◽  
Regression Model ◽  
Climate Change Adaptation ◽  
Logistic Regression Model ◽  
Smallholder Farmers ◽  
Binary Logistic Regression ◽  
Adaptation Strategies ◽  
Binary Logistic Regression Model ◽  
Content Type

Purpose The Ethiopian economy is mainly based on the rain-fed agriculture practiced by smallholder farmers. The sector is highly vulnerable to climate change impacts. This study aims to examine the determinants of adaptation strategies to climate change among the smallholder farmers in Adama District, Ethiopia. Design/methodology/approach A cross-sectional survey design was used to collect quantitative data using questionnaire with 351 randomly selected smallholder farmers. To collect qualitative data focus group discussions, key informant interviews and field observations were also used. Triangulated with thematic analysis, descriptive statistics and binary logistic regression model were used for the analysis. Findings The result indicated that the majority of the smallholder farmers use at least one climate change adaptation strategy in their local areas though the strategy is generally weak. In this regard, some of the dominant climate change adaptation activities identified in the study area are using improved crop varieties, planting trees, watershed management, adjusting planting date and terracing. The result from binary logistic regression model showed that age and sex of household head, as well as their education, family size, access to agricultural extension services and training on climate change significantly influence the practices of adaptation measures. Originality/value This study would help the practitioners to modify the existing weak adaptation activities by introducing advanced and technological-based adaptation strategies to the rural farming communities.

Analysis of arable crop farmers’ awareness to causes and effects of climate change in south western Nigeria

2015 ◽  
Vol 42 (7) ◽  
pp. 614-628 ◽  
Author(s):  
Shakirat Bolatito Ibrahim ◽  
Idris Akanbi Ayinde ◽  
Aisha Olushola Arowolo
Keyword(s):  
Climate Change ◽  
Sampling Technique ◽  
Household Size ◽  
Farm Size ◽  
Primary Data ◽  
Survey Method ◽  
Tobit Regression ◽  
Content Type ◽  
Mitigation And Adaptation ◽  
Arable Crop

Purpose – The purpose of this paper is to empirically analyze the determinants of arable crop farmers’ awareness to causes and effects of climate change in south western Nigeria. Design/methodology/approach – Using primary data, 150 arable crop farmers in Ogun State were selected through a multi stage sampling technique. Survey method was used to elicit information on farmers’ socioeconomic, production characteristics, and their level of awareness to causes and effects of climate change. The data collected were analyzed using descriptive statistics, environmental awareness index (EAI), and Tobit regression analysis. Findings – Most (81.08 percent) of the arable crop farmers were males with an average household size of eight persons, farming experience of 24 years and farm size of approximately 1 ha. The computed climate change EAI showed that only 47 percent of the respondents were aware of causes of climate change, while 68 percent were aware of its effects. Results further revealed that age, income from secondary occupation (p < 0.10), marital status, household size (p < 0.05), years of farming experience, frequency of extension contact, land size in hectare, and farm revenue (p < 0.01) were the determinants of respondents awareness to causes and effects of climate change. Practical implications – The study recommended among others that, awareness should be created among arable crop farmers on climate change causes and effects for appropriate mitigation actions to be taken for improved agricultural productivity. Originality/value – The study provided new empirical evidence on the awareness level of respondents to causes and effects of climate change on their production activities and livelihood in general. Implications for policy will be to provide a public education program that will target females, the poor, the illiterate, and the people in the economically active age group among others in order to create awareness and provide information and adequate knowledge on the causes and effects of climate change for proper mitigation and adaptation options.

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