Does the Exchange Rate Matter to Agricultural Bilateral Trade between Canada and the U.S.?

This study examines the effects of the Canada–U.S. exchange rate on bilateral trade of agricultural goods between the two countries and on U.S. farm income. Special attention is given to agricultural trade between the two countries under the Canada–U.S. Free Trade Agreement (CUSTA). This study utilizes two time series models: the vector error correction model (VECM) and the vector moving average model (VMA) with quarterly time series data from 1983 to 2000. It is found that the exchange rate has a significant impact on U.S. agricultural trade with Canada, but the impact on U.S. agricultural price and income is insignificant. The exchange rate between the two currencies is found to be weakly exogenous in the U.S. agricultural sector, which answers a fundamental question about the role of the exchange rate in Canada–U.S. bilateral trade for agricultural products. In addition, the results point to a significant, though minimal, effect on bilateral trade due to CUSTA.     

Effect of yield and price risk on conversion from conventional to organic farming*

Although the benefits of organic farming are already well known, the conversion to organic farming does not proceed as the Dutch government expected. In order to investigate the conversion decisions of Dutch arable farms, a discrete stochastic dynamic utility‐efficient programming (DUEP) model is developed with special attention for yield and price risk of conventional, conversion and organic crops. The model maximizes the expected utility of the farmer depending on the farmer’s risk attitude. The DUEP model is an extension of a dynamic linear programming model that maximized the labour income of conversion from conventional to organic farming over a 10 year planning horizon. The DUEP model was used to model a typical farm for the central clay region in the Netherlands. The results show that for a risk‐neutral farmer it is optimal to convert to organic farming. However, for a more risk‐averse farmer it is only optimal to fully convert if policy incentives are applied such as taxes on pesticides or subsidies on conversion, or if the market for the organic products becomes more stable.     

Savings and technology choice for risk averse farmers

Farmers in developing countries have limited opportunities for borrowing to even out variability associated with risky farm income, but they can save. A dynamic programming model of savings is presented in the current paper which examines optimal savings strategies for farmers, using a case study of integrated rice–shrimp farms in Vietnam. It is shown that when savings are accounted for, the expected utility ranking of different risky farm choices may not differ that much between farmers with different levels of risk aversion.     

U.S. Agricultural Trade with Mexico

Abstract

This study examined the effects of exchange rates, economic growth, trade liberalization, and export assistance programs on U.S. agricultural exports to Mexico. The Commodity Credit Corporation's GSM-102 Export Credit Guarantee Program reduces the risk associated with export financing and payment. The impact of the export credit guarantee program on U.S. agricultural exports to Mexico was estimated in an import demand model using quarterly data from 1980 to 1996. The results indicate that for every $1 of export credit guarantees, Mexican imports of U.S. farm products increased $0.30. Real income growth in Mexico, however, was the most important factor in the expansion of U.S. exports. Trade liberalization under NAFTA also increased U.S. exports to Mexico.     

Government Payments and Farm Business Survival

Using farm-level panel data from recent U.S. Agricultural Censuses, this study examines how direct government payments influence the survival of farm businesses, paying particular attention to the differential effect of payments across farm-size categories. A Cox proportional hazards model is used to estimate the effect of government payments on the instantaneous probability of a farm business failure, controlling for farm and operator characteristics. Results indicate that an increase in government payments has a small but statistically significant negative effect on the rate of business failure, and the magnitude of this effect increases with farm size.     

Impacts of risk aversion on whole-farm management in Syria

This article reports on a study of the impact of risk on farm management practices in northern Syria, focusing particularly on how these are affected by risk aversion and farm size. The study is based on production data from an eight-year field trial and on prices from market surveys. A large linear programming model is built, representing the eight years as observations from a discrete probability distribution. Risk aversion is modelled by inclusion of a utility function with constant relative risk aversion, represented using the DEMP/UEP approach.     

Evaluating the Potential of Index Insurance Schemes to Reduce Crop Yield Risk in an Arid Region

We evaluate yield risk reduction through weather index, area yield index and farm yield insurance contracts for wheat farms in Kazakhstan by employing data from 1980 to 2002. We use the usual mean variance (MV) approach and also a second‐degree stochastic dominance (SSD) criterion. While MV is not necessarily consistent with the expected utility (EU) theory, SSD results only in a minimum but EU‐consistent benefit from insuring. Differences in the estimation results for both approaches underline the advantage of applying both criteria to analyse the risk‐reducing potential of crop insurance. Bootstrapping results show that none of the analysed insurance schemes provides statistically significant risk reduction for every single farm. In addition, weather‐based index insurance is found to provide less risk reduction than area yield insurance based on the rayon (county) yield. Moreover, rayon yield index insurance can reduce yield risk more effectively for Kazakhstan's wheat producers than farm yield insurance with a low strike yield.     

PARTICIPATION OF FARM OWNERS IN FARM AND OFF-FARM WORK INCLUDING THE OPTION OF FULL-TIME OFF-FARM WORK

The option of working full-time off the farm is generally neglected in farmers' time allocation studies. In this paper, a generalised multinomial logit model, in which the choices are working only on the farm, allocating the time between farm and off-farm work, or working only off-farm, is estimated using Israeli data. The results show that the explanatory variables have significantly different effects on utility for off-farm workers who also work on the farm versus those who do not. There seem to be incentives to work full time rather than part time off the farm. These conclusions cannot be reached if farm owners who do not work on the farm are excluded from the estimation. The conclusions imply that policy intended to encourage pluriactivity could instead result in increased specialisation in full-time farm work or full-time off-farm work if it does not target the right incentives.     

A Cost Approach to Economic Analysis Under State-Contingent Production Uncertainty

This article explores the economics of input decision under production uncertainty. The article develops a methodology to specify and estimate cost-minimizing input decisions under a state-contingent technology. The analysis is applied to time series data on U.S. agriculture. It finds strong empirical evidence that expected output alone does not provide an appropriate representation of production uncertainty. The results provide empirical support for an output-cubical technology. This indicates that an ex post analysis of stochastic technology appears appropriate. The analysis also provides evidence that the cost of facing production risk has declined in U.S. agriculture over the last few decades.     

The linkage between the U.S. ethanol market and developing countries’ maize prices: a panel SVAR analysis

The major expansion of U.S. ethanol production raises concerns about the potential detrimental impacts on developing countries’ agricultural prices, farm income, and food security. To assess the sensitivity of maize prices to ethanol production, this study explores the linkage between the U.S. ethanol market and developing countries’ maize prices. The econometric approach, based on a panel structural vector autoregression model, captures market interdependencies and the likelihood that developing countries’ responses are both heterogeneous and dynamic. The results indicate that the U.S. ethanol market's impacts on maize prices in developing countries are heterogeneous and that coastal countries are more susceptible to U.S. economic shocks. The estimates also suggest that countries more dependent on food imports and/or receiving U.S. food aid are at a higher risk of being affected by such shocks. Overall, the results indicate that those countries with the greatest sensitivity and exposure to global agricultural commodity markets could benefit from domestic policies and international assistance, which reduce their exposure to impacts from the U.S. maize market.     

A New U.S. Farm Household Typology: Implications for Agricultural Policy

Changes in U.S. agriculture have yielded a diversity of farm types. These changes have extended beyond the farm business and into the farm household. The objective of this research is to motivate, develop, and discuss the policy implications of a new typology of U.S. farm households, which is based on household economic theory. Using the 2003 Agricultural Resource Management Survey and statistical analysis, the U.S. Farm Household Typology identifies six mutually exclusive groups of U.S. farm households. This typology is then compared to the current Economic Research Service Farm Typology and used to investigate the distribution of government payments.     

RISK,UTILITY AND STOCKING RATE*

A simple utility-based model of risky wool production is presented. Evaluation of the model indicates the effect on optimal stocking rate of changes in the degree of risk aversion, farm area, variable cost, fixed cost, wool cut, wool price, variance of wool price, climatic variability and tax rate. It is shown that the utility hypothesis implies a lower optimal stocking rate than does expected profit maximization and hence implies a discrepancy between private and public optimal resource use which it is suggested, might be mitigated by a progressive bounty on wool production.     

Primal/Dual Positive Math Programming: Illustrated through an Evaluation of the Impacts of Market Resistance to Genetically Modified Grains

The goal of Howitt's positive mathematical programming procedure is to calibrate a mathematical programming model so that it will reproduce a set of base data for the primal variables. This article develops an analogous procedure allowing one to specify the levels of both primal and dual variables. This article also sheds light on a potential ambiguity of Howitt's procedure (with attendant policy evaluation impacts). The procedure is illustrated through application to an equilibrium displacement model focused on evaluating the consequences of the reluctance of U.S. trading partners to accept genetically modified crop products for U.S. production patterns and net farm income.     

Entry, Exit, and Farm Size: Assessing an Experiment in Dairy Price Policy

This article models and estimates the forces behind farm exits and changes in herd-size among Connecticut dairy farms under the New England Dairy Compact. A model of sunk costs and farm capital investment is used to specify two econometric estimations: a random effects probit model of farm entry and exit and an autocorrelated generalized least squares panel data model of farm size. The Dairy Compact's price strategy reduced farm exits and moderately increased cow numbers. In contrast, development pressures and historically low unemployment rates increased farm exits.     

FARM SYNDICATION AND RISK SHARING: A CASE STUDY*

The effectiveness of fully integrated group farming as a means of permitting farmers to achieve economies by working together and to share risk is investigated using two case-study farms from the mid-north region of S.A. Linear programming is used to explore the scope for economies achievable through group farming. The results show that, by joint use of resources, total net farm income can be increased and average costs per unit value of output can be reduced. The risk-sharing advantages of group farming are examined using quadratic risk programming. A group farm plan is found that generates a risky income which, when shared between the two risk-averse farmers, allows both to increase their expected utilities. The group plan also generates a higher aggregate expected net farm income than with sole ownership.     

Imperfect Price Deflation in Production Systems

Numéraire prices that are measured with error create challenges for econometric estimation. A straightforward approach for a model with linear input demands, such as generated from a quadratic normalized profit function, is proposed where the numéraire price is measured with error. Numéraire measurement error is likely because expected output price is measured imperfectly by actual output price. An approach using generalized method of moments is developed to estimate such errors-in-variables (EIV) systems that avoids use of extra-sample data or additional structural specifications. Monte Carlo examination of small sample properties shows promise. Measurement error is statistically significant using aggregate U.S. agricultural data.     

The U.S. demand for imported and domestically produced foods: An investigation of intertemporal and substitution effects

This article extends the literature on time series estimation of U.S. consumer demand by presenting a coherent theoretical structure with a multi-period planning horizon for consumer choice and a more general treatment of the aggregation problem that allows the possibility that consumers' tastes change over time and vary across individuals. Based on our theoretical model, an econometric model is used to obtain estimates in a multi-period context of U.S. demand for imported foods and domestically produced foods. The hypothesis that current purchases depend on expected future prices is supported by the empirical results for imported foods.     

The U.S. Demand for Imported and Domestically Produced Foods: An Investigation of Intertemporal and Substitution Effects

This article extends the literature on time series estimation of U.S. consumer demand by presenting a coherent theoretical structure with a multi-period planning horizon for consumer choice and a more general treatment of the aggregation problem that allows the possibility that consumers' tastes change over time and vary across individuals. Based on our theoretical model, an econometric model is used to obtain estimates in a multi-period context of U.S. demand for imported foods and domestically produced foods. The hypothesis that current purchases depend on expected future prices is supported by the empirical results for imported foods.     

Off‐farm work and technical efficiency on U.S. dairies

In this study, we investigate the impact of an increase in farm households’ off‐farm work on technical efficiency (TE) of U.S. dairies. We present a theoretical framework that implies that an increase in farm household off‐farm work decreases TE. We use two nationally‐representative samples of U.S. dairies (2010 and 2005 Agricultural Resource Management Surveys) and a parametric approach (stochastic frontier analysis) to empirically test the hypothesis. Results are generally consistent with the hypothesis and show that an increase in off‐farm work by the farm household is associated with a significant decrease in TE. In addition, results show that there is a statistically significant difference in TE between small, medium, and large farms. Small farms are associated with significantly higher off‐farm work and have lower TE than large farms, which implies that less off‐farm work by households with larger farms is at least partially responsible for the evidence of economies of scale in the U.S. dairy industry.     

Nonpecuniary Benefits to Farming: Implications for Supply Response to Decoupled Payments

We develop a household model wherein farmers allocate labor to maximize utility from leisure, consumption, and nonpecuniary benefits from farming. The model shows that farmers with decreasing marginal utility of income respond to higher decoupled payments by decreasing off-farm labor and increasing farm labor, resulting in greater agricultural output. We then estimate the difference between farm and off-farm returns to labor using data from three nationally representative farm household surveys. The finding of a large on-farm/off-farm wage differential provides compelling evidence of substantial nonpecuniary benefits from farming.