Assessing the impact of climate change adaptation strategies on food security and farm income: insights from Burkina Faso

Climate-smart agriculture (CSA) addresses food security issues under climate change. The research examined the effect of adopting CSA practices on food and nutrition security by small-scale urban crop (SSUC) farmers in the eThekwini (ETH) Municipalityusing purposive sampling from 412 SSUC farmers. Results suggest that socio-demographic and institutional factors influence household consumption patterns and dietary status of SSUC farmers. The probit selection model show that the farmer’s age, education, household size, off-farm income, monthly expenditure on food, agricultural training, group membership, and credit access significantly influenced CSA practices adoption decisions. The endogenous switching regression using marginal treatment effects shows that farm income, off-farm income, monthly expenditure on food, group membership, hired labour and distance to the farming site significantly affected household food consumption patterns. Gender, marital status, employment status, age, household size, farm and off-farm income, monthly expenditure on food, group membership, hired labour and number of part-time labourers from households significantly influenced the household dietary diversity status of SSUC farmers. The findings confirm heterogeneity in the effects of adopting CSA practices. Unobserved benefits are prevalent through a positive selection of CSA practices depicted by the Household Food Consumption Score (HFCS) and Household Dietary Diversity Score (HDDS). Adopting CSA practices enhanced the food and nutrition of SSCU farmers, shown by the average treatment effects (ATT) when farmers adopt CSA practices. Adopting CSA practices correlated positively with the food and nutrition security of SSUC farmers, with adopters being 16 and 31 percent more food secure concerning HFCS and HDDS, respectively. Hence, SSUC farmers in ETH Municipality adopting CSA practices were likely better off regarding food consumption patterns and dietary diversity. In light of this, a nexus between SSUC farmers, researchers, and extension services must consider suitable sets of CSA practices of relevant scale chosen and directed toward the welfare of localised contexts.

The primary objective of the study is the assessment and impact evaluation of improved and new agriculture technology adoption on farmers’ income level in the region (Faisalabad). There are seven technologies used in the study to assess technology adoption impact. A micro panel primary data (206-07 & 2018-19) has been used. The propensity score is estimated and matched for average treatment effects (ATE) to analyze income effect. The assessment of technology adoption is observed using logistic approach for pooled data. The technology poverty index is used to measure the level of farmer technology adoption rate. The results indicate that these technologies have positive and significant role on farmers’ poverty and income level in the study area. The used improved technologies for the current showed positive and significant role in the farmers’ income determination. These agriculture technologies have an important role in increasing farmer income and welfare in the study area. The study recommends that more incentives to be announced to develop and promote improved technologies for adoption. The provision of these technologies may increase farmers’ income level as well as food security by engaging in other income-generating activities.

This study examined the relationship among farming households’ technical efficiency, dietary diversity and farm income in Kwara state, Nigeria. Respondents were randomly sampled from among the National Special Programe for food security (NSPFS) beneficiaries and non benficiaies across the 3 geo-political zones in the study area. Stochastic frontier model was used to estimate the respondents’ technical efficiency while the dietary diversity score and farm income were analyzed with descriptive and inferential statistics. The Pearson Product Moment Correlation (PPMC) was used to assess the level of relationship among the indicators. The study revealed a significant linear relationship among households’ dietary diversity, farm income and technical efficiency. While technical efficiency was inversely related to farm income (r = -0.278, p = 0.01) and dietary diversity (r = -0.206, p = 0.05) on one hand, dietary diversity was positively related to farm income (r = 0.307, p = 0.05). The study has two important implications; first, increasing farm income may be of relevance if the goal of enhancing food security is pursued and benefits of technical efficiency growth may not necessarily translate into enhanced farm income and dietary diversity. This study therefore suggests the provision of infrastructures that would enable the farmers to access the benefits of improved technical efficiency.

Climate change perception and its impact on net farm income of smallholder rice farmers in South-West, Nigeria

Climate change continues to pose significant challenges to food security and livelihoods of smallholder farmers specifically in semi-arid regions. One approach that holds prospects for climate risk management is climate-smart agriculture (CSA). CSA has concentrated on crop practices with little attention to livestock especially indigenous (village) chickens as a potential practice that can be combined with crop agriculture. This study considers the adoption of three CSA practices: improved maize seeds (IS), soil management (SM), indigenous chicken (IC) enterprise and their various combinations. Using survey data collected from 300 farming households in semiarid Kenya, we estimate the impact of integrated crop-poultry system adoption on food security and farm income using multinomial endogenous treatment effect models. Robustness checks are conducted using alternative identification strategies. Results show that, generally, the adoption of IS, SM, IC and their combinations reduces the number of months without enough food and increases farm income. When we consider the magnitude of the impacts, interesting results emerge when a combination of the CSA practices are considered. The highest impact is observed with the joint adoption of SM & IC and IS &IC. Broadly, the empirical findings suggest that integrated systems (in our case crop-poultry integration), deserve both policy and research attention as they provide synergistic benefits that improve climate resilience and household welfare.

Household income improvement among Ghanaian livestock farmers: Does climate change adaptation strategies matter?

Food and nutrition insecurities continue to be significant issues for communities in developed and developing countries, even when there are plentiful harvests. In Ethiopia, climate change and other human-induced challenges are key factors contributing to this insecurity. Research and development experts suggest that implementing sustainable livelihood diversification strategies could be a viable solution. The objective of the study was to analyze the determinants of choice of livelihood diversification strategies and its impact on food and nutrition security among smallholder farmers in the West Shoa zone, Oromia region, Ethiopia. The research employed quantitative approaches for data gathering and analysis. A multistage sampling method was utilized to choose the study locations. A total of 385 smallholder farming households (215 diversifiers and 170 nondiversifiers) were randomly chosen as participants from the 2 districts and 7 rural villages in the area. Descriptive statistics (frequencies, percentages, and cross-tabs) and econometric models [multinomial logit model and multinomial endogenous switching regression (MESR) model] were employed to analyze the quantitative data. More than half (56%) of the farming households were able to diversify their livelihoods, whereas the remaining 44% were unable to do so, indicating a lack of means to engage in any form of livelihood diversification activity beyond agriculture. The results of the multinomial logit regression model revealed that various factors such as gender, age, family size, education level, farm experience, social norms, land ownership, livestock possession, access to credit, access to extension services, working capital, government policies, climate variability, livelihood training, and proximity to markets significantly influenced smallholder farming households' choices and adoption of diversification strategies. The MESR model demonstrated that engaging in farming and off-farming activities could increase food and nutrition security for farm households by 74.6% and 33.3%, respectively. Similarly, participating in farming and nonfarming activities was associated with a 71.3% improvement in food security and a 42.3% enhancement in nutrition security. However, combining farming with both nonfarm and off-farm activities did not have a significant impact on food security, but it did lead to a 15.2% increase in nutrition security. Involving smallholder farmers in livelihood diversification reduces poverty, food insecurity, and unemployment. This study shows that diversifying livelihoods positively impacts food and nutrition security by enabling farmers to produce more for consumption and income generation.

Ethiopian Smallholder farmers is highly vulnerable to climate variability and change due to its great reliance on climate sensetive economy .Different empirical evidence's has put forward about climate change perception and adaptation practices.However, the findings of major studies are highly aggregated and are of little help in addressing local peculiarities of perception and adaptation strategies .While, others were vague to understandand and finally difficult to implement at farm level. Hence ,this paper reviews the empirical literature on smallholder farmers’ perceptions and adaptation strategies of climate change in Ethiopia with specific objectives of; to review the Smallholder framers’ perception to climate change, to identify climate change adaptation strategies used by Smallholder farmers’ and to review factors that determine smallholder farmers choice of climate change adaptation strategies in Ethiopia.This paper was prepared through wide spread review of empirical evidence's. The review found that the majority of farmers in Ethiopia are aware of climate change in average change in temperatures and rainfall pattern with passion of weather extremes such as droughts ,floods,pest and disease manifestation. To deal with up the unfavorable sound effects of climate change, farmers have adopted strategies like crop diversification, using improved varieties, changing planting and harvesting dates, irrigation, planting tree crops, water and soil conservation techniques,switching to non-farm income activities, marketing during forage shock, using drought tolerant breed andfodder preservation.But , preference of adaptation strategies differs from place to place, farms to farms, and households capacity. At household level, most of the empirical evidence revealed Agro-ecological setting, sex, education level, landholding, farm income, non-farm income, livestock ownership, access to credit, extension visit, farmer-to-farmer extension, access to climate information and average distance from home to the farm have significant influence on the choice of climate adaptation strategies.The review result depicted that there is much dearth of empirical evidences regarding livestock sectors so far as much of the research is focused on crop sector's.Therefore, it has been suggested to further investigate deep rooted emperical evidence's on adaptation strategies of livestock sectors and available indigenous knowledge especially in pastoral areas.Further more, there is a need to explore impacts of climate change and single adaptation strategies on livelihood of smallholder's farmers at each farm level autonomously. Keywords: adaptation strategies; climate change; Ethiopia, perceptions; Smallholder farmer's DOI: 10.7176/IAGS/82-03 Publication date: May 31 st 2020

Climate change threatens African countries’ economic development and affects agriculture and food security. Ethiopia is especially vulnerable to the negative effects of climate change because its economy is dependent on climate-sensitive livelihoods that have limited potential for adaptation. Emerging evidence indicates that climate-smart agriculture (CSA) can help smallholder farmers adapt to climate change and increase agricultural productivity, thereby enhancing household income and food security. In the study area, different CSA practices have been adopted to mitigate the negative effects of climate change and improve agricultural productivity, income, and food security. Therefore, this study examines the impact of CSA practices on household income and food security in southern Ethiopia. A total of 385 households were selected using multistage sampling. Primary and secondary data were used, and propensity score matching with different types of matching algorithms, such as nearest neighbor, kernel, and radius matching, was employed to quantify the conditional impacts of CSA intervention on farm income and food security. In comparison with non adopters farmers that have adopted CSA practices had a higher food consumption score between 6.27 and 8.15, which was statistically significant at the 1% level. Overall, 34.55% of interviewed households had acceptable food consumption scores, 44.68% had borderline, and 20.77% had poor food consumption scores. Furthermore, households that adopted CSA practices had a 20.30% higher average annual farm income per hectare than non-adopters. The study suggests that effective extension services, accurate climate information, and sound policy support are required to promote and scale up CSA measures in the study area to improve farmers’ adaptive capacity, farm income, and food security.

The impacts of climate change on marine capture fisheries have been observed in several studies. It is likely to have a substantial effect on fishers’ income and food security. This study aims to estimate the impact of adaptation strategies on fishers’ income and their household’s food security. Data were collected from small-scale fishers’ households, which own a fishing boat smaller or equal to five gross tonnages (GT). The study sites were the two coastal regions of Malang and Probolinggo in East Java, Indonesia, due to the meager socioeconomic resources caused by climate change. A probit regression model was used to determine the factors influencing the fishers’ adaptation. Propensity score matching (PSM) was applied to evaluate the impact of the adaptation strategies on income and food security. Food security was measured by food consumption score (FCS). The findings indicated that participation in the fishers’ group affected adaptation strategies significantly, and so did the access to credit and climate information. Also, PSM showed that the adaptation strategies had a positive and significant impact on fishers’ income and food security. Those who applied the adaptation strategies had a higher income and FCS than those who did not. This finding implies that the fishery sector’s adaptation strategies can have significant expansion outcome and reduce exposure to risks posed by climate change. Therefore, the arrangement of more climate change adaptation strategies should be promoted by the government for small-scale fishers in Indonesia.

Climate change poses a significant threat to global agriculture, particularly for small-scale farmers who often lack the resources and knowledge to adapt. Without effective coping and adaptation strategies, agriculture in Africa is likely to suffer, leading to increased poverty and food insecurity. Adaptation to climate change is closely linked to farmers’ awareness of the issue, though the extent of this awareness in South Africa remains unclear due to conflicting previous studies. This study aimed to investigate the relationship between climate change awareness, adaptation strategies, and food security among small-scale farmers in the Eastern Cape Province, with the aim of understanding how farmers’ awareness of climate change influences their adaptation decisions and the subsequent impact on agricultural productivity and food security. The study used quantitative analysis to examine the relationship between climate change knowledge, adaptation, and food security. Multi-stage sampling was used to collect data from 200 small-scale farmers through semi-structured questionnaires. Logit regression and endogeneity switching regression were applied for data analysis. The study finds that small-scale farmers in the province are fully aware of climate change and have experienced its negative impacts, especially reduced farm returns (38%) and yields (36%), which threaten agricultural productivity, food security, and farmers’ economic viability. In response, farmers have adopted various strategies, including crop rotation (22%), using improved crop varieties (20%), changing planting dates (12%), and applying fertilizer or mulching (12%). Key factors influencing adaptation include age, access to climate information, education, market proximity, extension services, drought frequency, temperature and rainfall perceptions, radio ownership, farm income, size, and family size. The study shows that these adaptation strategies have improved agricultural yields and farm returns, positively contributing to food security in the area. Based on the study findings, this study recommends that governments and policymakers implement and provide targeted policy interventions, extension services, and educational programs that can enhance climate change knowledge among small-scale farmers.

Food security has remained topical over the period and Africa in among the world’s most food insecure regions. Several strategies have been adopted by rural dwellers to improve food security but the situation remains prevalent. One such approach is the adoption of income diversification strategies. This study assesses the effect of income diversification strategies of rice farmers on household food security in the North Tongu District of the Volta Region of Ghana with the use of a semi-structured questionnaires. The strategies of concern include ‘Rice income only’ (R); ‘Rice income plus other agricultural incomes’ (RA); ‘Rice income plus non-agricultural incomes’ (RN) and; ‘Rice income plus other agricultural and non-agricultural incomes’ (RAN). The ‘Rice income only’ (R) were those respondents that did not diversify in any way at all; they cultivated only rice The Multinomial Logit Model was used to estimate factors affecting the choice of income strategies. Being a household head, household size, employable skills and household food expenditure significantly affected choice of diversification. Respondents’ household food security was measured using the household dietary diversity score (HDDS). The mean HDDS was 5.81 indicating moderate food security. The Poisson Regression was used to model the effect of income diversification on food security. All the 3 diversification strategies had a positive and significant effect on food security. The study concluded that income diversification had a positive effect on food security and that attainment of high food security was associated with diversification into non-agricultural activities. The study recommends that farmer-field workshops should be organized periodically in the area to train farmers to equip them with non-farm skills so they can explore other opportunities outside of farming. Also, farmer awareness on the need for crop diversification and livestock production should be intensified in the area.

The paper investigated the effect of the Anchor Borrowersˈ Credit Scheme on the income of the smallholder maize farmers using the survey data obtained from 120 maize farmers in Kwara State, Nigeria. Data was analysed using descriptive statistics, Propensity Score Matching (PSM), Average Treatment effect on Treated (ATT), and Ordinary Least Square regression. Employing descriptive statistics, Farmers were characterised based on their socioeconomic attributes. Using the Propensity Score Matching (PSM) and Average Treatment effect on Treated (ATT), it was discovered that the scheme had a positive and significant effect on the income of the maize farmers, although this effect was the same among all beneficiaries of the scheme. The Ordinary Least Square regression was used to check for the differential effect of the scheme among the benefiting farmers and was found that the positive effect varies with the socioeconomic attributes of the farmers. The results showed a general improvement in the income of the farmers as a result of the scheme. However, the effect of the improvement was higher on beneficiaries with higher educational level, more farming experience as well as beneficiaries with larger farm size. The study findings provided documentation for policymakers for improving the delivery system of the scheme.

Adoption of climate change adaptation strategies by maize-dependent smallholders in Ethiopia

Climate change threatens the sustainability of food production among farmers in Kenya who depend on rain‐fed agriculture. To minimize the negative impacts of climate change, farmers have sought to adopt different adaptation strategies. This study investigates factors influencing farmers’ choice of climate change adaptation strategies and associated effects on their food security in Kenya using data collected from 540 farmers from six counties. A multivariate probit, censored least absolute deviation (CLAD), and propensity score matching (PSM) models were employed to identify the determinants in the farmers’ choice of climate change adaptation strategies, the number of adaptation strategies adopted, and the effect of climate change adaptation strategies on their food security, respectively. Results show that planting drought-tolerant crop varieties (55%), growing diversified crops (34%), growing early maturing crops (22%), and diversifying the sources of household income (18%) were the four major adaptation strategies used by the farmers in the study area. Younger farmers and those with higher education levels are more likely to use these climate change adaptation practices. The number of adaptation strategies used was positively associated with male farmers, education level, family size, land size, farm income, extension contact, training, and information access. The farmers who adopt one adaptation strategy have higher food security status (approximately 7–11%) than those who do not. If they adopt two adaptation strategies, their food security status increases by approximately 11–14%; if they adopt three adaptation strategies, their food security status increases by nearly 12–15%; and if they adopt four adaptation practices, their food security status increases by about 14–18%, compared to those who do not adopt any strategy. Thus, the farmers’ climate change adaptation practices have positive food security effects in Kenya according to the number of adaptation strategies adopted.