The ancient Greek city-states were slave societies, but the institutions of slavery differed across them. The slaves of democratic Athens were foreigners bought as chattels labouring in agriculture, craftsmanship, banking, mining, and domestic services and were often given some limited freedoms and extra pay. On the contrary, the helots, the slaves of oligarchic Sparta, were indigenous of the lands they cultivated for their masters and were treated harshly. The study offers an economic explanation of the different slavery systems. Modelling the slaveholder as a profit maximiser, it attributes the different systems to differences in the probabilities of the slaves running away or revolting, the dependence of output on effort-intensive or care-intensive production technology, which depends on the fertility of the soil and affects whether the slave is treated kindly instead of harshly, and the cost of guarding slaves under different regimes.

The winemaking technique of saignée is common for some varietals, and the ensuing flavor profiles have been carefully analyzed by oenologists. However, we argue that saignée is fundamentally about economic tradeoffs between the quantity of primary wine that is ultimately produced, the quality (and thus, price) of that wine, and the amount of rosé wine that is bled off in the process. We develop the first theoretically-grounded economic model of saignée and analyze the model to shed light on the winemaker's optimal choice of saignée, and on the properties of wine and wine markets that should empirically give rise to more, or less, saignée. The model helps to explain several real-world regularities such as the absence of saignée for most Bordeaux wines, the specialization in rosé for many wines in Provence, and the practice of moderate amounts of saignée for varietals such as grenache and pinot noir.

This paper presents a pedagogical exercise to explore the economics of price-based fisheries bycatch. In the exercise students experience the economic incentives that lead to bycatch due to highgrading; the discarding of low-value fish. We first discuss existing fisheries economics pedagogical activities and how our exercise is distinct. We then identify over forty economics, environmental studies, geography, management, and philosophy courses where the exercise could be played. Next, we describe the game and share results and student feedback. Finally, we provide discussion prompts and extensions to illustrate how incentives and policies can change fishing behavior to lead to sustainable fisheries.

Fed cattle profitability is determined by complicated dynamic processes of body growth, carcass development, and seasonal prices. A structural model is constructed to contend with all these dynamic processes to predict optimal market timing. Informed simulations are conducted and compared to those observed in the data, as well as to a previous model ignoring the evolution of carcass value. The results indicate that significant improvements to profitability are attainable with the new method. The results also indicate the opportunity cost of not accounting for carcass value, even with error, is more severe than when these dynamics are ignored.

We link causally the riskiness of men's management of their finances with the probability of their experiencing a divorce. Our point of departure is that when comparing single men to married men, the former manage their finances in a more aggressive (that is, riskier) manner. Assuming that single men believe that low relative wealth has a negative effect on their standing in the marriage market and that they care about their standing in that market more than married men do, we find that a stronger distaste for low relative wealth translates into reduced relative risk aversion and, consequently, into riskier financial behavior. With this relationship in place we show how this difference varies depending on the “background” likelihood of divorce and, hence, on the likelihood of re-entry into the marriage market: married men in environments that are more prone to divorce exhibit risk-taking behavior that is more similar to that of single men than married men in environments that are little prone to divorce. We offer a theoretical contribution that helps inform and interpret empirical observations and regularities and can serve as a guide for follow-up empirical work, having established and identified the direction of causality.

We investigated the environmental impacts of alternative cultural practices within a watershed under different water quality standards. We used experimental data on nutrient runoff to determine the optimal amount of broiler litter application in hay production in Louisiana. To compensate for the lack of experimental data, we used biophysical simulation models to find the optimal combination of agricultural best-management practices in a watershed in Mississippi. The results indicated that stricter environmental standards lower total profit potential and litter utilization.

The probability of a business paying various amounts of money for ane-commerce presence ultimately depends on demographic features, experienceswith e-commerce from a buyer's and seller's perspective, technologicalexpertise, and knowledge of e-commerce opportunities and limitations.Estimating functions to assign probabilities associated with the willingnessto pay for an e-commerce presence will assist in forecasting regionallikelihood of certain profiles paying various monetary amounts for ane-commerce presence. In addition, if services are provided at no cost by athird party, value to a society will be maximized by selecting profiles withthe highest willingness to pay.

Production function models for cotton lint yields, seed yields, turnout, and lint quality characteristics are developed for the Texas High Plains. They are used to evaluate the impacts of quality considerations and of climate/weather information on the management decisions and on the profitability and risk of irrigated cotton production systems. It is concluded that both quality considerations and improved climatic/weather information could have substantial effects on expected profitability and risk. These effects mainly occur because of changes in optimal variety selection and irrigation water use levels. Quality considerations in particular result in significantly lower irrigation water use levels regardless of the climate/weather information assumption, which has important scarce-resource use implications for the Texas High Plains.

Exploratory factor analysis was used to identify approaches to farm management based on a list of management questions posed to a sample of U.S. cash-grain farmers. Three approaches were identified by the factor analysis: price negotiation, long-term cost control, and input adjustment. Estimated factor scores regressed against farm and operator characteristics indicate a profile of producers using each approach that is closely related to stage-of-life of the farm operator and farm business. In addition to operator age and planning horizon, operator risk preference and farm organization and location were other important determinants of the approach to management.

This study employs correlation relationships to measure the strength of trade-offs between business and financial risks as a representation of the strategic capital adjustment process. Under different business risk measures based on varying lengths of historical farm income data, results suggest that farmers tend to adopt a myopic perspective when contemplating risk-balancing plans. Cross-sectional regression results for two-time period models covering the decade of the 1980s and 1990s yielded important implications. The liquidity-constrained environment of the 1980s emphasizes the combination of risk-balancing plans, specialization, and market revenue-enhancing strategies. In the 1990s, risk balancing becomes compatible with risk-reducing crop diversification and insurance protection plans.

Economic effects for three scenarios of antimicrobial drug use in livestock production—a no-ban scenario and two levels of bans—are examined through cost minimization and a partial equilibrium analysis. Results indicate that regulating antimicrobial drug use in livestock production would increase per-unit costs of producers previously using drugs and reduce beef supplies in the short run, reducing consumer surplus. Producers not previously using drugs would benefit from short-run price increases.

Hog farmers' preferences for autonomy are assessed through the use of eight questions dealing with their preferences for general decision making and with respect to specific management actions. Farmers generally preferred to make a higher percentage of the decisions about their operations, especially older producers and those who operated farrowing units. Farmers who placed lower values on autonomy finished hogs, were nearing retirement, valued social relationships with other farmers more highly, had higher off-farm income, or were larger farmers.

Dual-purpose winter wheat production is an important economic enterprise in the southern Great Plains of the United States. Because of the complex interactions involved in producing wheat grain and beef gain from a single crop, stocking density is an important decision. The objective of the research is to determine the stocking density that maximizes expected net returns from dual-purpose winter wheat production. Statistical tests rejected a conventional linear-response plateau function in favor of a linear-response stochastic plateau function. The optimal stocking density of 1.48 steers/ha (0.60 steers/acre) is 19% greater with a stochastic than with a nonstochastic plateau.

Probit analysis identified factors that influence the adoption of precision farming technologies by Southeastern cotton farmers. Younger, more educated farmers who operated larger farms and were optimistic about the future of precision farming were most likely to adopt site-specific information technology. The probability of adopting variable-rate input application technology was higher for younger farmers who operated larger farms, owned more of the land they farmed, were more informed about the costs and benefits of precision farming, and were optimistic about the future of precision farming. Computer use was not important, possibly because custom hiring shifts the burden of computer use to agribusiness firms.

We combine econometric and financial analyses of the NAHMS 2000 Swine Surveydata to examine whether evidence exists for reducing risk by usingantibiotics for growth promotion (AGP) in the U.S. swine industry. Astochastic dominance analysis of alternative lengths of time (days) of AGPapplication reveals that AGP used in the range of 65–75 days is preferred byrisk-averse producers. Risk is reduced and profits are increased from use ofAGP. The combined impacts of increased average daily gain and decreasedvariability in pig live weight increase producer profits by $2.99 per pigmarketed.

Interactions among the nitrogen (N) fertilization rate, N source, and disease severity can affect mean yield and yield variance in conservation tillage wheat production. A Just-Pope model was used to evaluate the effects of N rate, N source, and disease on the spring N-fertilization decision. Ammonium nitrate (AN) was the utility-maximizing N source, regardless of risk preferences. The net-return-maximizing AN rate was 92 lb N/acre, providing $0.52/acre higher net returns than the best alternative N source (urea). If a farmer could anticipate a higher-than-average Take-All Root Rot infection, the difference in optimal net returns between AN and urea would increase to $35.11/acre.

This article examines the effects of the application of panel data estimation methods on a system of equations with unbalanced panel data. We apply pooled, random-effects, and fixed-effects estimation in three data sets: small, medium, and large farms to examine the relationship between farm size and the elasticity of cotton supply with respect to cotton price. Our results indicate that the adoption of various estimation methods entails different estimated parameters both in terms of their absolute value and in terms of their statistical significance. Additionally, the elasticity of cotton supply with respect to price varies according to farm size.

Using USDA's Agricultural Resource Management Survey data, factors leading to the adoption of technology, management practices, and production systems by U.S. beef cow-calf producers are analyzed. Binary logit regression models are used to determine impacts of vertical integration; region of the U.S.; farm size, diversification, and tenure; and demographics on adoption decisions. Significant differences were found in adoption rates by region of the U.S., degree of vertical integration, and size of operation, suggesting the presence of economies of size and vertical economies of scope. Results also indicate high degrees of complementarity among technologies, management practices, and production systems.

The cattle industry batch markets animals in pens. Because of this, animals within any one pen can be both underfed and overfed. Thus, there is a production inefficiency associated with batch marketing. We simulate the value of sorting animals through weight and ultrasound measurements from original pens into smaller alternative marketing groups. Sorting exploits the production inefficiency and enables cattle feeding enterprises to avoid meat quality discounts, capture premiums, more efficiently use feed resources, and increase returns. The value of sorting is between $15 and $25 per head, with declining marginal returns as the number of sort groups increases.

We develop measures of technical and allocative efficiency of producers in marketing certified organic products. A stochastic output distance frontier and the associated revenue share equations are estimated using comprehensive U.S. data on certified organic producers. Farm-level measures of technical efficiency are calculated and factors that enhance performance are identified. Factors that systematically influence allocative efficiency are assessed. The revenue mix of organic producers is systematically inefficient as both male and female producers rely too heavily on revenue from organic markets relative to conventional outlets.