Adoption of climate‐smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana

Increased climate variability during the last four decades has made the agricultural environment in many developing countries more uncertain, resulting in increasing exposure to risk when producing crops. In this study, we use recent farm‐level data from Ghana to examine the drivers of individual and joint adoption of crop choice and soil and water conservation practices, and how adoption of these practices impacts on farm performance (crop revenue) and exposure to risks (skewness of crop yield). We employ a multinomial endogenous switching regression model to account for selectivity bias due to both observable and unobservable factors. The empirical results reveal that farmers’ adoption of crop choice and soil and water conservation leads to higher crop revenues and reduced riskiness in crop production, with the largest impact on crop revenues coming from joint adoption. The findings also show that education of the household head, access to extension and weather information influence the likelihood of adopting these practices. Thus, enhancing extension services and access to climate information and irrigation can reduce gaps in adoption of soil and water conservation and crop choice, considered as climate‐smart practices that will eventually improve crop revenues and reduce farmers’ exposure to climate‐related production risks.     

Farmers’ risk preferences and their climate change adaptation strategies in the Yongqiao District,China

Farmers’ risk preferences play an important role in agricultural production decisions. This study characterizes risk preferences among farmers in Yongqiao and determines how these risk preferences are related to their choices regarding climate change adaptation strategies. We find that most farmers in the study area were aware of climate change. They were taking measures to protect their livelihoods against perceived changes to the local climate. The risk experiment result shows that the representative subject was risk averse, and women were more risk averse than men. The relationships between farmers’ risk preferences and different climate change adaptation choices were different. Farmers’ risk aversion was negatively and significantly related with adaptation strategies on planting new crop varieties and adopting new technology, but it had a significantly positive effect on purchasing weather index crop insurance. The results also indicate that the level of education, farming experience, farm size, household income and perception of climate change impacts influence farmers’ adaptation decisions.     

Understanding the adoption of climate change adaptation strategies among smallholder farmers: Evidence from land reform beneficiaries in South Africa

Climatic change has a negative impact on people’s livelihoods, agriculture, freshwater supply and other natural resources that are important for human survival. Therefore, understanding how rural smallholder farmers perceive climate change, climate variability, and factors that influence their choices would facilitate a better understanding of how these farmers adapt to the negative impacts of climate change. A Zero-inflated double hurdle model was employed to estimate the factors influencing farmers’ adoption of adaptation strategies and intensity of adoption at the household level in South Africa. Different socioeconomic factors such as gender, age, and experience in crop farming, institutional factors like access to extension services, and access to climate change information significantly influenced the adoption of climate change adaptation strategies among beneficiaries of land reform in South Africa. Concerning intensity of adoption, age, educational level, farming experience, on-farm training, off-farm income, access to information through ICT and locational variables are the significant determinants of intensity of adaptation strategies. Thus, education attainment, non-farm employment, farming experience are significant incentives to enhance smallholder farmers' adaptive capacity through the adoption of many adaptation approaches. This study therefore concluded that farm-level policy efforts that aim to improve rural development should focus on farmers’ education, on-farm demonstration and non-farm employment opportunities that seek to engage the farmers, particularly during the off-cropping season. The income from non-farm employment can be plough-back into farm operations such as the adoption of soil and water conservation, use of improved planting varieties, insurance, among others to mitigate climate variability and subsequently increase productivity. Policies and investment strategies of the government should be geared towards supporting education, providing on-farm demonstration trainings, and disseminating information about climate change adaptation strategies, particularly for smallholder farmers in the country. Thus, the government, stakeholders, and donor agencies must provide capacity-building innovations around the agricultural extension system and education on climate change using information and communication technologies.     

Risk and risk management in organic and conventional cash crop farming in Norway

This study presents empirical insight into organic and conventional cash crop farmers' perceptions of risk and risk management strategies, and identifies socio-economic variables linked to these perceptions. The data originate from a questionnaire survey of farmers in Norway. The results indicate that organic farmers perceived themselves to be less risk averse than conventional farmers. For both groups, crop prices and yield variability were the two top rated sources of risk, followed by institutional risks. The two groups evaluated risk management strategies quite similarly; favoured strategies were good liquidity and to prevent and reduce crop diseases and pests. The farmers' evaluation of sources of risk and choice of risk strategies depended on various socio-economic variables. The importance of institutional risks implies that policy makers should be cautious about changing policy capriciously and they should consider strategic policy initiatives that give farmers more long-term reliability.     

Sustainable agricultural practices,environmental risk mitigation and livelihood improvements: Empirical evidence from Northern Ethiopia

Using sustainable agriculture practices has various economic, social and environmental benefits. Determining the attitude of farmers toward risk is an important first step in understanding their behaviour and coping strategies to mitigate environmental risks. This paper investigates the dual impacts of some agricultural practices on agricultural yields and farmers’ livelihoods considering sustainable farmland. Cross-sectional data is collected from farmers in six rural villages in Tigray region, Northern Ethiopia using structured questionnaires. Results show that education, labour supply, agricultural extension services, attitudes, social capital, risk mitigation attitudes, farming experience and soil conditions are factors that significantly affect farmers’ decisions to adopt these practices. The practices are adopted either in isolation or jointly of integrated sustainable practices that increase crop production, household income and asset. Therefore, government and other development actors should promote their adoptions especially in drought-prone, degraded and water-stressed areas     

How collective efficacy makes a difference in responses to water shortage due to climate change in southwest Iran

Climate change impacts the water sector in a manner that reduces the harvest and income of farmers, thereby exacerbating poverty and many other social problems. However, through adaptation measures, farmers can manage climate change impacts and thus reduce their vulnerability. To design effective public adaptation strategies, it is crucial to understand farmers’ behaviors at the farm level in response to water shortage due to climate change. Thus, the aim of this research is to accrue empirical evidence about farmers’ perceptions of and responses to water shortage due to climate change, using the Protection Motivation Theory. To increase the predictive power of the model, this paper added the collective efficacy variable to the model. The population of interest consisted of farmers from Shushtar, a county in Khuzestan Province, southwestern Iran. A total of 251 farmers were selected using a multi-stage, clustered, random sampling method. The results of structural equation modeling revealed that model variables accounted for 39 % of variance in farmers’ adaptation behaviors. The inclusion of collective efficacy in the original model increased its predictive power and produced a model of a better fit; the proportion of variance accounted for an increase of about 11 %. These findings are expected to yield recommendations for public policy, as well as agricultural extension and education recommendations for stimulating successful adaptation behaviors among Iranian farmers.     

The adoption and impact of engineering‐type measures to address climate change: evidence from the major grain‐producing areas in China

Employing an endogenous switching regression model, we investigate the drivers underlying the adaptations made by farm households and their impacts on crop net incomes for adopters and nonadopters, based on a large panel survey data set across the major grain‐producing provinces in China. The results show that: (i) access to public climate information and technical or physical support increases the likelihood that farmers adapt to climate change by undertaking irrigation and/or drainage measures; and (ii) decisions to adapt increased crop yield, but they did not significantly increase crop profit margins. This point appears to have been ignored by previous studies. Based on these new empirical results, the paper suggests that government should continue to provide climate information and various types of supports to improve farmers’ adaptation abilities and help to reduce the levels of factor input by, for example, substituting organic for chemical fertiliser inputs. Such government‐led policies should be supported alongside the implementation of domestic agricultural supply‐side reform.     

Choice of Rice Production Practices in Ghana: A Comparison of Willingness to Pay and Preference Space Estimates

Rice has been identified as an important food security crop in Ghana. However, there is a production deficit and new technologies to reduce the deficit are not widely adopted. Although poor adoption by farmers’ is often linked to constraints such as access to information, farmers’ perceptions of the technologies are also important. We apply an advanced discrete choice experiment to evaluate farmers’ preferences for rice production practices. Specifically, we generate willingness to pay (WTP) estimates using willingness to pay space (WS) and compare these with values from the indirect or preference space (PS) method. Our modelling also accounts for the effects on WTP estimates of farmers’ stated attribute importance (SAI) information. Empirical results from WS and PS models reveal that on average, farmers value higher yields and are negatively affected by higher risk of crop failure and labour requirements. Comparing the performance of the two models, we find the WS model provides a superior fit to our data and reduces the likelihood of producing implausible WTP estimates. Further, SAI inclusion did not produce much variation in our WTP estimates.     

Food risk perceptions by different consumer groups in Germany

This paper presents an analysis of the changing food risk perceptions of German consumers over the period 1992 to 2002. We analyse the respondents' general risk attitudes and their specific perceptions of food risks. Using cluster analysis we generate a typology of four consumer types. One group is worried about natural food risks, the second does not worry about any types of food risks, the third is concerned about technical food risks and the fourth is concerned about all food risks. A multinomial logit analysis identifies factors that describe the classification of households in this grouping. General risk attitudes and knowledge about food risk are significant variables in the explanation.     

Farmers’ perspectives on climate change manifestations in smallholder cocoa farms and shifts in cropping systems in the forest-savannah transitional zone of Ghana

The study was conducted to explore actual manifestations of climate change in smallholder cocoa farms to aid extension response to climate impacts, and to understand the reasons for a renewed interest in cocoa production in the forest-savanna agro ecological landscape in Ghana, in spite of unfavorable climatic conditions. Two hundred cocoa farmers were interviewed in nine cocoa farming communities. Selected farms were also visited to document on-farm manifestation of climate impacts as well as innovations and strategies farmers are employing to respond to the adverse impacts of climate change on their cocoa systems. The results revealed various manifestations of climate impacts on cocoa farms which included, increased incidence of pests and diseases, wilting of cocoa leaves, high mortality of cocoa seedlings which affected expansion and farm rehabilitation, and wilting of cherelles resulting in low yield. The farmers maintained that their response to the immediate impacts of climate on cocoa was a shift to cereals due to the unpredictable climatic patterns and the shortened duration of rainfall. However, a combination of storage and supply chain challenges and low returns from cereal production, coupled with land scarcity in the Western Region, where most of them are migrant farmers accounted for their decision to return to cocoa production lately. It was observed, among other adaptive responses, that some farmers plant about three times the plantain suckers they usually plant, to provide a dense temporary shade over cocoa seedlings, and resort to planting more cocoa seedlings randomly per unit area on new farms, contrary to recommended planting approach, as a form of insurance against seedling mortality. More importantly, a community-based fire response system was identified to be a major safeguard mechanism to the threat of fire. Clearly, the farmers are not replanting cocoa in the forest-savanna agro ecological landscape because it is more productive than cereals, but they believe that a low yielding cocoa is far better than a productive cereal cropping systems that offer low returns when compared to cocoa. The study brings out the sustainable livelihood challenges of the rural farmer within the context of a changing climate for appropriate policy response.     

Eliciting farmers’ subjective probabilities,risk, and uncertainty preferences using contextualized field experiments

Subjective probabilities as well as risk and uncertainty preferences influence many farmers’ decisions. Few contextualized field experiments were recently conducted to elicit farmers’ risk preferences. Contextualized field experiments use nonabstract framings that are familiar to subjects. Despite adding of context can undermine internal validity, such experiments are increasingly used in applied economics. Contextualized field experiments were never used to elicit farmers’ uncertainty preferences. This paper aims to fill this gap in the literature. This required the development of a new approach in which uncertainty preferences were estimated while controlling for farmers’ subjective probabilities regarding future agricultural outcomes. The experiment involves Scottish farmers’ decisions to plant traditional or new potato varieties. Monetary incentives and incentive compatible elicitation techniques, such as quadratic scoring rules and certainty equivalent multiple price lists, were used. Results from the estimation of Fechner models using maximum likelihood estimation procedures show that failure to control for subjective probabilities generates an underestimation of estimated uncertainty preferences. Farmers are more averse to uncertainty than risk, and their choices are noisier under uncertainty than risk.     

Enhancing farmers’ capacity for botanical pesticide innovation through video-mediated learning in Bangladesh

Despite the general success of farmer-capacity-building methods such as Farmer Field School in promoting pest management innovations, only those farmers directly involved benefit. How can agricultural extension enable farmer-to-farmer learning about botanical pesticides beyond such schools? We wanted to know how different learning methods, such as video shows and workshops, change farmers’ knowledge, attitudes and practices about botanical pesticides. This paper explains how video engages men and women farmers in spreading botanical pesticides across 12 villages in Bogra District, north-western Bangladesh. We conducted ex ante and ex post surveys among farmers from November 2009 to September 2010. For data analysis, we used t-test and McNemer and Wilcoxon sign rank tests. Our findings suggest that video improves the ability of both male and female farmers to communicate about pest management among themselves and with other stakeholders, as ‘intricate ethno-agricultural practices’. Video-mediated learning sessions are more effective than conventional workshop training in enhancing farmers’ knowledge about botanical pesticides, changing their attitude and finally taking a decision to adopt these methods. In other words, video is capable of communicating complex issues such as the biological and physical processes that underlie pest management innovations. From our case, we conclude that agricultural extension is more effective with the use of facilitated video learning and that this process clarifies complex agro-ecological principles, bias and normative perceptions of the learners. Also, video-mediated learning is not only transferable across villages, but also works well in combination with other media, such as radio, television and mobile phones.     

Convergence between satellite information and farmers’ perception of drought in rangelands of North-West Patagonia,Argentina

Drought is a complex natural hazard with social and environmental implications. Satellite information is increasingly used to support decision-makers in preventing or coping with the negative impacts of drought. The integration of local and scientific knowledge to support drought monitoring is still far from being the main procedure in the development of drought monitoring and early warning systems. This study aimed at assessing the degree of convergence between satellite information on the effect of droughts on rangeland vegetation, from time series analysis, and farmers’ perception of drought in North-West Patagonia, Argentina. We characterised the scientific evidence of drought in terms of duration, spatial distribution, most severe years and recovery for the period 2000–2018 by identifying inter-annual NDVI changes. Farmers’ perceptions and experiences of drought were studied with open-ending interviews, with respect to occurrence, duration and recovery for that period. Satellite information matched farmers’ perception of drought at a regional scale, emphasising the value of remote sensing tools in supporting regional policy decision-making. However, farmers’ perceptions and recall of past drought impacts were more diverse than satellite information at a local level, highlighting the need for knowledge integration at finer scales.     

An accelerating treadmill and an overlooked contradiction in industrial agriculture: Climate change and nitrogen fertilizer

In this article, we explore if and why farmers are responding to the impacts of climate change with practices that increase greenhouse gas emissions. Our examination focuses on heavy rainfall events and Midwestern corn farmers' nitrogen fertilizer management. Due to climate change, the frequency and intensity of heavy rain events is increasing across the Midwest. These events increase nitrogen loss to the environment and introduces economic risks to farmers. Drawing from a theoretical framework that merges O'Connor's second contradiction of capitalism and Schnaiberg's treadmill of production, we argue farmers' responses to these events reflect the second contradiction, increasing contributions to climate change, and are shaped by treadmill‐like political‐economic pressures. We examine this using a qualitative sample of 154 farmers across Indiana, Iowa, and Michigan. Given profit imperatives, adapting farmers in our sample primarily used increased nitrogen application rates to reduce their vulnerability to heavy rains. As nitrogen rate is directly associated with nitrous oxide emissions, this adaptive strategy is effective but increases agricultural contributions to climate change. This preliminarily suggests that the political‐economic structure encourages farmers to respond to climate change in ways that accelerate the environmental contradictions of industrial agriculture.     

Uncovering climate (in)justice with an adaptive capacity assessment: A multiple case study in rural coastal North Carolina

Climate change resilience is an area of praxis where efforts to enhance community adaptive capacity are informed by theory. However, there is growing evidence that ethnocentrism and privilege are shaping coastal management policies while many communities with climate justice issues struggle to build resilience. Particularly, rural coastal communities, contrasting urban areas, have limited access to centralized planning efforts, unique local contexts for outreach, compounding social vulnerabilities (job loss, out-migration, limited social services), and receive less attention from resilience researchers. Following calls to integrate climate justice into resilience praxis, we assess perceptions of adaptive capacity within predominately African American communities in a rural low-lying coastal region in eastern North Carolina. We add a climate justice lens to evaluate the previously-validated Rural Coastal Community Resilience (RCCR) framework. The RCCR is intended to improve planning efforts by providing climate change information, initiating conversations, and contributing to resilience theory. In contrast to its previous applications, engagement led to declines in perceived adaptive capacity. This result highlights that the information sharing goals of the engagement efforts were poorly aligned with community concerns and threat perceptions. Additionally, perceived climate injustices emerged revealing instances of adaptation oppression. This study recommends strategies to rethink traditional extension efforts to improve inclusiveness by deeply interrogating the inherent whiteness of standard modes of communicating climate science.     

The (in)stability of farmer risk preferences

We test and quantify the (in)stability of farmer risk preferences, accounting for both the instability across elicitation methods and instability over time. We use repeated measurements (N = 1530) with Swiss fruit and grapevine producers over 3 years, using different risk preference elicitation methods (domain-specific self-assessment and incentivised lotteries). We find that farmers' risk preferences change considerably when measured using different methods. For example, self-reported risk preference and findings from a Holt and Laury lottery correlate only weakly (correlation coefficients range from 0.06 to 0.23). Moreover, we also find that risk preferences vary considerably over time, that is, applying the same elicitation method to the same farmer in a different point in time results in different risk preference estimates. Our results show self-reported risk preferences are moderately correlated (correlation coefficients range from 0.42 to 0.55) from one year to another. Finally, we find experiencing crop damages due to climate extremes and pests is associated with farmers becoming more risk tolerant over time in specific domains.     

Adoption of soil and water conservation technologies in the Rwizi catchment of south western Uganda

Soil and water conservation technologies, such as mulching, grass strips and retention ditches, have been promoted in many areas of Sub-Saharan Africa. However, technology adoption rates have remained unsatisfactory. In this study, a logit model was used to examine the adoption of soil and water conservation technologies in the Rwizi catchment of Uganda using cross-sectional survey data from 271 smallholder farmers. Findings revealed that the likelihood to adopt these conservation technologies by smallholder farmers is explained by land size, tropical livestock units, access to extension services, value of gross output, gender of the household head and location of the farmers. Our results further showed that the quadratic term in land size was significant and negative, highlighting an acreage threshold to adoption. In general, our findings underscore the importance of information access and landownership in adoption of soil and water conservation technologies in the Rwizi catchment of Uganda.     

Projecting future crop productivity for global economic modeling

Assessments of climate change impacts on agricultural markets and land‐use patterns rely on quantification of climate change impacts on the spatial patterns of land productivity. We supply a set of climate impact scenarios on agricultural land productivity derived from two climate models and two biophysical crop growth models to account for some of the uncertainty inherent in climate and impact models. Aggregation in space and time leads to information losses that can determine climate change impacts on agricultural markets and land‐use patterns because often aggregation is across steep gradients from low to high impacts or from increases to decreases. The four climate change impact scenarios supplied here were designed to represent the most significant impacts (high emission scenario only, assumed ineffectiveness of carbon dioxide fertilization on agricultural yields, no adjustments in management) but are consistent with the assumption that changes in agricultural practices are covered in the economic models. Globally, production of individual crops decrease by 10–38% under these climate change scenarios, with large uncertainties in spatial patterns that are determined by both the uncertainty in climate projections and the choice of impact model. This uncertainty in climate impact on crop productivity needs to be considered by economic assessments of climate change.