Input- and Output-Oriented Technical Efficiency of Ukrainian Collective Farms, 1989–1992: Bayesian Analysis of a Stochastic Production Frontier Model

We propose estimation of a stochastic production frontier model within a Bayesian framework to obtain the posterior distribution of single-input-oriented technical efficiency at the firm level. All computations are carried out using Markov chain Monte Carlo methods. The approach is illustrated by applying it to production data obtained from a survey of Ukrainian collective farms. We show that looking at the changes in single-input-oriented technical efficiency in addition to the changes in output-oriented technical efficiency improves the understanding of the dynamics of technical efficiency over the first years of transition in the former Soviet Union.     

THE EFFICIENCY OF SEQUESTERING CARBON IN AGRICULTURAL SOILS

Agricultural tillage practices are important human-induced activities that can alter carbon emissions from agricultural soils and have the potential to contribute significantly to reductions in greenhouse gas emission (Lal et al., The Potential of U.S. Cropland, 1998). This research investigates the expected costs of sequestering carbon in agricultural soils under different subsidy and market-based policies. Using detailed National Resources Inventory data, we estimate the probability that farmers adopt conservation tillage practices based on a variety of exogenous characteristics and profit from conventional practices. These estimates are used with physical models of carbon sequestration to estimate the subsidy costs of achieving increased carbon sequestration with alternative subsidy schemes.     

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.     

Carbon Sequestration in Agricultural Soils: Discounting for Uncertainty

The study presents a conceptual model of an aggregator who selectively pays farmers for altering farming practices in exchange for carbon offsets that the change in practices generates. Under the assumption that the offsets are stochastic and that the aggregator maximizes the sum of the offsets from the purchase that he/she can rightfully claim with a specified level of confidence subject to a budget constraint, we investigate the optimal discounting of expected carbon offsets. We use the model to empirically estimate of the optimal discounting levels and costs for a hypothetical carbon purchasing project in the Upper Iowa River basin.