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This study aims to examine smallholder farmers’ perceptions toward the adoption of climate-smart agriculture (CSA) in smallholder farmers in the Upper Blue Nile Highlands of Ethiopia. Available research focused on profitability and economic constraints alone, disregarding the farmers’ perception of the adoption of CSA innovations. There is relatively little empirical work on farmers’ perceptions of innovations. Hence, a critical research gap that will strengthen CSA innovation research and practice includes understanding farmers’ perceptions about CSA innovations and how these perceptions interact with their adoption.

A cross-sectional household survey was conducted among 424 smallholder farmers selected from five agro-ecosystems. A structured questionnaire was used to collect primary data and a review of literature and documents was used to collect secondary data. The study used a multivariate probit model to examine perception factors affecting the likelihood of adopting multiple CSA innovations. The dependent variables were eight CSA innovations, while the independent variables were crafted from the three pillars of CSA.

Major CSA innovations adopted by farmers include improved variety, crop residue management, crop rotation, compost, row planting, soil and water conservation, intercropping and agroforestry. Farmers’ perception toward CSA innovations includes: CSA innovations sustainably increase productivity and income; enhance soil fertility; diversify livestock feed and energy sources; reduce soil erosion, weed infestation and crop failure; enhance soil organic matter, reduce chemical fertilizer use and rehabilitate land. Farmers’ positive perceptions of the benefits of CSA innovations for increasing crop productivity, reducing agricultural vulnerability to climate change and lowering farm greenhouse gas emissions have boosted adoption.

Farmers’ perceptions toward CSA innovations must be enhanced to increase the adoption of CSA innovations in the smallholder agriculture system. The CSA innovation scale-up strategies should focus on farmers’ perception of CSA innovation benefits toward food security, climate change adaption and mitigation outcomes. Awareness of CSA needs the close collaboration of public extension as well as local institutions such as farmers’ training centers.

The study adopts a multivariate probit model that models farmers’ simultaneous CSA innovation choices. Hence, this study contributes to the literature in four significant areas. First, it argues for differential treatment of the perception of smallholder farmers about innovations is needed. Second, it recognizes the interdependence of the adoption of innovations. Third, it directly assesses the farmers’ perception, while others use proxies to measure it. Finally, there are limited or no studies that address the perception of innovations within the lens of adopter perception theory.

The purpose of this paper is to identify the perceptions of farmers on the major sources of risk and to examine the effectiveness of the risk management responses of rural smallholder farm households in the semi-arid region of Northern Ghana from the socioeconomic perspective.

Both descriptive statistics and exploratory factor analysis were used on a Likert scale question to rank and identify the important risk perceptions and management strategies of the farmers. The linear regression model was used to highlight the significant factors that affect the farmers’ risk perception and management responses.

The effects of the variations in crop yield, fertiliser prices and crop price on household income were perceived as the three most relevant sources of risk. Stabilising household income by growing different crops, storing feed/seed reserves and spreading sales were the most effective risk management strategies. Factor analysis identified market risk, production risk and human risk as major risk factors whereas diversification, financial strategy, and off-farm employment were perceived as the most effective risk management strategies. Farm and farmer characteristics were found to be significantly associated with risk perceptions and risk management strategies. Risk perceptions significantly increase the risk management strategy adopted by the smallholder rural farmers.

The findings of the paper call for the integration of farmers’ risk perceptions and management strategies in the development of agricultural policies for the semi-arid regions of Ghana.

This paper deviates from the traditional technology adoption studies by modelling rural household perceptions and management strategies using, using descriptive, factor analyses, and linear regression.

The purpose of this paper is to examine the impact of farmers’ risk perceptions regarding rubber farming on their land use choices, including rubber specialization and crop diversification.

A cross-sectional survey data of some 600 smallholder rubber farmers in Xishuangbanna in Southwest China is employed. This paper develops a general conceptual framework that incorporates a subjective risk item into a model of farmers’ land use choices, thereby developing four econometric models to estimate the role of risk perceptions, and applies instrumental variables to control for the endogeneity of risk perceptions.

The results demonstrate that risk perceptions play an important role in smallholders’ decision-making regarding land use strategies to address potential risks in rubber farming. Smallholders with higher risk perceptions specialize in rubber farming less often and are more likely to diversify their land use, thereby contributing to local environmental conservation in terms of agrobiodiversity. The land use choices of smallholder rubber farmers are also associated with ethnicity, household wealth, off-farm employment, land tenure status, altitude and rubber farming experience.

This study contributes to a better understanding of the implications of farmers’ risk perceptions and shows entry points for improving the sustainability of rubber-based land use systems.

Literature contends that not much is known about smallholder farmers’ perceptions of climate variability and the impacts thereof on agricultural practices in Sub-Saharan Africa and South Africa in particular. The purpose of this study is to examine the perceptions of smallholder farmers from Botlokwa (a semi-arid region in South Africa) on climate variability in relation to climatological evidence.

The study area is in proximity to a meteorological station and comprises mainly rural farmers, involved in rain-fed subsistence agriculture. Focus group discussions and closed-ended questionnaires covering demographics and perceptions were administered to 125 purposely sampled farmers. To assess farmers’ perceptions of climate variability, their responses were compared with linear trend and variability of historical temperature and rainfall data (1985-2015). Descriptive statistics were used to provide insights into respondents’ perceptions.

About 64% of the farmers perceived climate variability that was consistent with the meteorological data, whereas 36% either held contrary observations or were unable to discern. Age, level of education, farming experience and accessibility to information influenced the likelihood of farmers to correctly perceive climate variability. No significant differences in perception based on gender were observed. This study concludes that coping and adaption strategies of over one-third of the farmers could be negatively impacted by wrong perceptions of climate variability.

This study highlights discrepancies in perceptions among farmers with similar demographic characteristics. To guarantee sustainability of the sector, intervention by government and other key stakeholders to address underlying factors responsible for observed discrepancies is recommended.

Pesticide residue is a stubborn problem affecting the quality and safety of agricultural products in China, and has not yet been fundamentally resolved. The purpose of this paper is to study farmers' perception of pesticide residues, as well as the main factors affecting their perception from the viewpoint of farmers. Additionally, this research attempts to explore the basic characteristics of pesticide residues arising in the process of producing agricultural products under the prevailing policy background, so as to provide decision‐making references for the Chinese government to deepen the security management system of agricultural products.

The structural equation model (SEM) is an analytical tool for the observation and treatment of latent variables that are difficult to observe directly, and for the consideration of inevitable errors. This paper investigates the main factors affecting farmers' perception of pesticide residues in the investigated regions based on the SEM and samples of 241 farmers in six counties (cities and regions) of three districts in the Jiangsu Province of China.

According to the research, regional difference, farmers' gender, age, years of education, pesticide training and their own demand for safe agricultural products had different influences on their perception of pesticide residues. Additionally, it was difficult to measure the influence of family characteristics on farmers' perception of pesticide residues. Although the present paper only shows a preliminary study, its conclusion provides a reference value for the Chinese government to deepen the reform of the quality and safety regulatory system of agricultural products.

There are many similar studies in overseas countries, but the application of SEM in the study of the main factors affecting farmers' perception of pesticide residues has not been completely reported previously in domestic literatures. The research assumption of this paper has practically verified that corresponding research conclusions of foreign scholars in this field have universality in China.

The purpose of this paper is to examine the effects of media and social network in the development of farmers land consolidation (LC) awareness, perception and adaptation intention decisions.

A face-to-face interview was carried out with randomly selected farmers from three districts (Neijiang, Ya’an and Dujiangyan) of Sichuan province, China. A structural equation modeling (SEM) technique was used to test the conceptual framework of this study. The SEM was set to confirmatory factor analysis of the measurement and structural models for maximum likelihood estimate by means of IBM-AMOS to capture the models goodness-of-fit.

The result indicates that social network contributes a significant role in the development of farmers LC awareness, perception and adaptation intention decisions than media. The total (direct and indirect) effect of social network and media toward the farmers LC adaptation intention is 56.7 and 14 percent, respectively. When farmers are aware and perceived of LC and rehabilitation program, their adaptation intention improves significantly. Therefore, social network is a useful tool in improving the awareness, perception and adaptation intention decisions of Sichuan farmers compared to media.

This study tests the applicability of SEM techniques to understand the farmers LC adaptation intentions; and synthesizes the impact of social network and media in the development of the farmers LC awareness, perception as well as adaptation intentions. This study serves as an outline for assessing the adaptation intention of farmers toward sustainable land management.

This paper aims to examine the perceptions and experiences of climate change by local farmers in the Northern Savannah zone of Ghana. Although recent scholarship shows that local people’s perceptions of climate change is necessary for devising strategies to deal with the problem, only a few researchers have examined local knowledge of climate change in Africa.

Primary data were collected from six rural communities in the Northern Savannah zone of Ghana, using a questionnaire survey on a sample of 530 farmers, in-depth interviews and focus group discussions. Multinomial logistic regression was used to analyse variations in experience and perception of climate change.

A majority of the farmers have noticed rising temperatures and declining rainfall. Their observations largely correspond with the evidence of changes recorded by weather monitoring stations. The perception of climate change is associated with locality of residence, gender and ownership of radio. The impacts of climate and variability include declining crop output, food insecurity and water stress. Respondents attributed changes in climatic parameters to economic activities and spiritual factors. It is recommended that environmental managers should actively involve local farmers in the design and implementation of policies to control climate change and variability.

The methodology used demonstrates how multinomial logit models can be used to investigate perceptions of climate change. The research findings also provide very useful information that can be relied upon to design policies to deal with climate change and variability in Ghana.

Understanding farmers’ perceptions of how the climate is changing is vital to anticipating its impacts. Farmers are known to take appropriate steps to adapt only when they perceive change to be taking place. This study aims to analyse how African indigenous vegetable (AIV) farmers perceive climate change in three different agro-climatic zones (ACZs) in Kenya, identify the main differences in historical seasonal and annual rainfall and temperature trends between the zones, discuss differences in farmers’ perceptions and historical trends and analyse the impact of these perceived changes and trends on yields, weeds, pests and disease infestation of AIVs.

Data collection was undertaken in focus group discussions (FGD) (N = 211) and during interviews with individual farmers (N = 269). The Mann–Kendall test and regression were applied for trend analysis of time series data (1980-2014). Analysis of variance and least significant difference were used to test for differences in mean rainfall data, while a chi-square test examined the association between farmer perceptions and ACZs. Coefficient of variation expressed as a percentage was used to show variability in mean annual and seasonal rainfall between the zones.

Farmers perceived that higher temperatures, decreased rainfall, late onset and early retreat of rain, erratic rainfall patterns and frequent dry spells were increasing the incidences of droughts and floods. The chi-square results showed a significant relationship between some of these perceptions and ACZs. Meteorological data provided some evidence to support farmers’ perceptions of changing rainfall. No trend was detected in mean annual rainfall, but a significant increase was recorded in the semi-humid zone. A decreasing maximum temperature was noted in the semi-humid zone, but otherwise, an overall increase was detected. There were highly significant differences in mean annual rainfall between the zones. Farmers perceived reduced yields and changes in pest infestation and diseases in some AIVs to be prevalent in the dry season. This study’s findings provide a basis for local and timely institutional changes, which could certainly help in reducing the adverse effects of climate change.

This is an original research paper and the historical trends, farmers’ perceptions and effects of climate change on AIV production documented in this paper may also be representative of other ACZs in Kenya.

The purpose of this paper is to explore smallholder farmers’ risk perception associated with climate change, the adaptation strategies used and determinants of their adaptation decision behaviour in Eferatena-Gidem district, Ethiopia.

The study used household survey methods of data collection. The data were collected using a structured questionnaire survey by interviewing 261 randomly selected smallholder farmers and analysed using both descriptive and inferential data analysis techniques including Participation Index, Adaptation Strategy Index and Binary Logistic Regression Model.

Results of the survey revealed that the vast majority of the respondents perceived the long-term changes in temperature and rainfall pattern. Although they are not transformational in nature, the majority (77 per cent) of the respondents who had perceived changes in climate took adaptive measures. Results of the econometric model analysis revealed that farmers’ perceptions of climate change, extension contact frequency, farmers’ attitude towards adaptation measures, tailor-made training and membership of farmers in peasant associations were found to be significant predictors that positively influenced farmers’ decision behaviour, whereas off-farm employment and the age of the household head were found to be negative and significant determinants.

This study, in general, provides an insight into the risk perception, adaptive response and determinants of farmers’ decision behaviour in implementing response strategies and suggests that policies and strategies intended at building the adaptive capacity of the farming community in the study area need to take into account the aforementioned significant factors and framers risk perception, as they highly determine their decision behaviour and help in designing effective and context-specific adaptation strategy.

The findings of this study could be informative for policy makers and development practitioners in designing locally specific effective adaptation menu that shapes adaptation to current and future climate risks.

The purpose of this study is to analyze trust perceptions between farmers and traders from a dyadic context in developing countries using mixed-method with a specific focus on fresh and dry commodities under contracted and non-contracted markets.

A mixed approach was employed. Cross-sectional data were collected from 202 farmers and 188 traders using questionnaires and an interview guide. The Mann–Whitney test was used to assess differences in trust perception. Differences in the excerpts were assessed through content analysis.

Results show differences in perception of trust between farmers and traders on integrity, benevolence and competence in marketing fresh and dry commodities. No detectable differences in trust perception between contract and non-contract markets were observed.

Data are limited to Northern Uganda and were collected on trust perception. Besides, there is a scarcity of formal contracts and difficulty in having a matched dyad which could affect generalization.

This is the first study to analyze differences in trust perceptions using a mixed approach in a dyadic context between fresh and dry chains in different markets typologies in developing countries.