Differential uncertainties and risk attitudes between conventional and organic producers: the case of Spanish arable crop farmers

The growing importance of economic factors in farmers' decisions to go organic has raised interest in characterizing the economic behavior of organic versus conventional farms. In general, published analyses so far have not considered differential uncertainties, abilities to control production risk, and farmers' risk preferences between conventional and organic practices when comparing these techniques. Our article attempts to assess this issue. We use a model of farmer decision under risk to analyze the differential values between organic and conventional Spanish arable crop farms and to assess the incentives for adoption of organic practices. Results show that organic and conventional farms do have different production risks as well as different aversions to risk. Organic price premiums and subsidies are found to be powerful instruments to motivate adoption of organic techniques.     

Consumption risk,farm characteristics,and soil conservation adoption among low-income farmers in the Philippines

This paper investigates patterns of soil conservation adoption among low-income farmers in the Philippines. A model is presented that focuses attention on the role ot assets and consumption risk in conservation adoption decisions. Results Iron, a reduced-form probit model of adoption are reported. These econometric findings indicate that patterns of soil conservation adoption reflect relative risk considerations in addititon farm and household characteristics. Farm size, tenure security, labor availability, and land quality all exhibit a positive association with soil conservation adoption. In contrast, controlling on these and other household characteristics, the probability of adoption falls as consumption risk rises. These results underscore a need for greater sensitivity among policymakers to the role of consumption risk in influencing soil conservation decisions in low-income settings.     

Risk, uncertainty, and learning in adoption of a crop innovation

Risk and uncertainty have often been suggested as causes of poor adoption of rural innovations, but empirical evidence has been scarce. This study focuses on a new crop‐type, chickpeas, in Western Australia to gather such evidence. The empirical models developed are based on a theoretical framework that conceptualizes adoption as a dynamic decision process involving information acquisition and learning‐by‐doing by growers who vary in their managerial abilities, risk preferences, and their perceptions of the profitability and riskiness of the innovation. Learning encompasses improvements in skill as well as reductions in uncertainty. An annual face‐to‐face survey of over 100 farmers was conducted over 3 years, eliciting the farmers' risk attitudes and their subjective distributions of yields and prices. Two limited dependent variable models, Tobit and Probit, are used to estimate the empirical model. There is a high degree of goodness‐of‐fit for both models. The study provides strong empirical support for the primarily economic character of the adoption decision, and highlight the importance of economic risk in the process. The two risk‐related factors with greatest impact on the adoption decision were risk aversion and relative riskiness of the innovation. Risk aversion tended to reduce adoption, and to do so to a greater extent as relative riskiness and scale increased. Results also reveal the key role that trialing of the innovation plays in adoption.     

Risk,learning, and technology adoption

This article explores how decision makers learn and use information, with an application to the adoption of biotechnology in agriculture. The empirical analysis relies on experimental and survey data measuring risk preferences, learning processes, and the adoption of genetically modified (GM) seeds among U.S. grain farmers. While controlling for risk aversion, we link individual learning rules with the cognitive abilities of each decision maker and their actual GM adoption decisions. We find evidence that very few individuals are Bayesian learners, and that the population of farmers is quite heterogeneous in terms of learning rules. This suggests that Bayesian learning (as commonly assumed in the analysis of agricultural technology adoption) is not an appropriate characterization. In addition, we do not find a strong relationship between observed learning styles and the timing of GM seed adoption. To the extent that learning is a key part of the process of technology adoption, this suggests the presence of much unobserved heterogeneity in learning among farmers.     

Adoption of New Technologies in Ethiopian Agriculture: The Case of Tegulet-Bulga District,Shoa Province

Adoption of agricultural production technologies in developing countries is influenced by a wide range of economic and social factors as well as physical and technical aspects of farming and the risk attitude of farmers. It is important to understand the role of these factors to ensure the development of appropriate technologies and the design of successful development projects. This study examines the impact of such factors on the adoption of single-ox, fertilizer and pesticide technologies as part of a post-drought recovery project in Tegulet-Bulga district in Ethiopia. Models to evaluate the probability of adoption are specified for the respective technologies and are estimated using a logit maximum likelihood procedure, results indicate that the most significant variable affecting the probability of adoption of all three technologies is farm size; the impact is negative for single-ox technology and positive for fertilizer and pesticide use. Economic factors such as income, wealth and debt generally exhibit statistically significant influence on the adoption of single-ox and pesticide technologies as do family size, access to outside information, education and experience. The effect of socio-economic factors on adoption of fertilizer and pesticide technologies is greater in the area which has more access to outside information and off-farm activities (Ankober) than in more ‘self-contained’ area (Seladengay). The impact of the degree of risk aversion of farmers is found to be significant and negative for single-ox technology in both areas, and for fertilizer and pesticide technologies in only one area. The predicted probabilities of technology adoption by an average farmer are found to increase dramatically with the level of education and access or exposure to outside information.     

Green Subsidies in Agriculture: Estimating the Adoption Costs of Conservation Tillage from Observed Behavior

Due to payoff uncertainties combined with risk aversion and/or real options, farmers may demand a premium in order to adopt conservation tillage practices, over and above the compensation for the expected profit losses (if any). We propose a method of directly estimating the financial incentives required for adopting conservation tillage and distinguishing between the expected payoff and premium of adoption based on the observed behavior. We find that the premium may play a significant role in farmers' adoption decisions. In an application to the state of Iowa, we find that if a uniform conservation tillage adoption subsidy program were offered in 1992, over 86% of the subsidy program payments would be an income transfer to existing and low‐cost adopters. En raison des incertitudes quant aux gains, combinées à l'aversion pour le risque et/ou aux options réelles, les agriculteurs pourraient réclamer une prime pour l'adoption de méthodes culturales de conservation du sol, une prime qui serait supérieure à l'indemnisation offerte en cas de perte de gains prévue (s'il y a lieu). Nous avons proposé une méthode fondée sur le comportement observé qui permet une estimation directe des incitatifs financiers exigés pour adopter les méthodes culturales de conservation du sol et qui fait une distinction entre les gains prévus et la prime d'adoption. Nous avons constaté qu'une prime pourrait influencer considérablement les décisions des agriculteurs quant à l'adoption de méthodes culturales de conservation du sol. En Iowa par exemple, nous avons trouvé que, si un programme de subventions uniforme pour l'adoption de méthodes de conservation du sol avait été offert en 1992, plus de 86 p. 100 des paiements du programme de subvention aurait constitué un transfert de revenus aux adopteurs existants et à faibles coûts.     

Rationale and Motivation of Agricultural Producers in Adopting Crop Rotation in the Northern Great Plains,USA

Despite several environmental and economic benefits of crop rotation, the adoption of this agricultural practice is relatively low. Understanding the reasons for low adoption is important from a sustainability policy perspective. This study explores the motivation, challenges, and sources of information of agricultural producers who participate in crop rotation practices in South Dakota, North Dakota, and Nebraska. The findings of a mail survey of 672 producers in these three states show that producers are familiar with the crop rotation practice. Economic profitability is found to drive motivation for crop rotation adoption. The results of a binary logistic regression model show that a producer who perceives that crop rotation is beneficial to farm profitability is 1.83 times more likely to adopt it than the producer who does not believe in its profitability to the farm. The lack of time or resources is the primary barrier to the adoption of crop rotation practice. This study provides additional evidence in support of the importance of farm profitability for the adoption of the practice of crop rotation. Understanding the rationale and addressing the challenges faced by agricultural producers would be useful in planning and policy making of sustainable agriculture.     

Adoption of farm‐based irrigation water‐saving techniques in the Guanzhong Plain,China

This article analyses adoption of farm‐based irrigation water saving techniques, based on a cross‐sectional data set of 357 farmers in the Guanzhong Plain, China. Approximately 83% of the farmers use at least one farm‐based water‐saving technique. However, the traditional, inefficient techniques border and furrow irrigation are still prevalent whereas the use of advanced, more efficient techniques is still rather rare. We develop and estimate an adoption model consisting of two stages: awareness of water scarcity and intensity of adoption. We find that awareness of water scarcity and financial status enhance adoption of more advanced techniques whereas access to better community‐based irrigation infrastructure discourages it. We furthermore find both community‐based irrigation infrastructure and farm‐based irrigation water‐saving techniques have mitigating effects on production risk. From the results it follows that adoption can be stimulated via financial support and via extension aimed at enhancing awareness of water scarcity.     

Risk Preferences of Dairy and Hog Producer in Quebec

The objective of this study is to investigate the nature of risk preferences of Quebec dairy and hog producers. The direct elicitation of utility method is employed to determine producers'degree of risk aversion. The Delphi process is used to obtain more refined and realistic responses. The results reveal that the risk preferences of the randomly selected Quebec farmers are highly diverse. The percentage of risk-taking farmers ranges from 8% to 23% depending upon the level of investment and the nature of the enterprise. On average, the majority of farmers in both groups are found to be risk averse. Based on the differences between the means as well as distributions, although not significant in all cases, hog producers are found to be consistently more risk averse than dairy producers. Moreover, the gap between the two groups widens as the level of investment increases. The implications of this result are that the stability of farm income due to supply management in dairy sector may facilitate investments of a given risk (for example, adoption of a new technology) more so than it would in the hog sector.     

Poverty Reduction Effects of Agricultural Technology Adoption: The Case of Improved Cassava Varieties in Nigeria

We use DNA‐fingerprinting to estimate the poverty reduction effect of adoption of improved cassava varieties in Nigeria. We estimate the counterfactual household income distribution of cassava producers by combining farm‐level treatment effects with a market‐level model. Our results suggest that adoption of improved cassava varieties has led to a 4.6 percentage point reduction in poverty, though this is sensitive to the measurement of adoption status. Therefore, accurate measurement of adoption is crucial for a more credible estimate of the poverty reduction effect of adoption. Our analysis also suggests that farmers who are more likely to be adopters are also likely to face higher structural costs. Addressing structural barriers that make improved technologies less profitable for the poor would therefore be important to increase the poverty reduction effect of improved cassava varieties.