Urban Sprawl and Farmland Prices

A theoretical model of farmland valuation is developed to explicitly account for three effects of urban sprawl: conversion of farmland to urban uses, effect on agricultural returns, and speculative effect as represented by farmland conversion risk. This model is estimated using county-level data in the continental United States. Evidence is found for all three effects of urban sprawl on farmland values. Counties more accessible to major urban centers have higher net agricultural returns. Subsidiary evidence supports that the latter effect may be attributed to survival of (or conversion to) high-valued agriculture around urban centers.     

Urban Influence on Costs of Production in the Corn Belt

This article determines the relative technical efficiency of rural- and urban-influenced crop/livestock enterprises in the Corn Belt. Farmers in urban-influenced locations are less technically efficient than farmers in rural locations. During 1998–2000, stochastic production frontier procedures indicate that a 10% increase in urban influence leads to a close to 4% decrease in technical efficiency. The most successful urban-influenced farms have controlled costs as effectively as rural farms. They have tended to de-emphasize that nondairy livestock activities—particularly beef and hogs—do not rely extensively on off-farm income, and have relatively large, less residential/lifestyle operations compared to less successful urban-influenced farmers. However, our statistical analysis clearly bears out the refrain in popular literature that urban proximity raises the cost for, and decreases the viability of, traditional farms.     

Farm-Level Economic Performance of Genetically Modified Cotton in Maharashtra, India

A study of the commercial growing of Bacillus thuringiensis (Bt) cotton in India, compares the performance of over 9,000 Bt and non-Bt cotton farm plots in Maharashtra over the 2002 and 2003 seasons. Results show that since their commercial release in 2002, Bt cotton varieties have had a significant positive impact on average yields and on the economic performance of cotton growers. Regional variation showed that, in a very few areas, not all farmers had benefited from increased performance of Bt varieties.     

Food Choice in an Interdisciplinary Context

Reform of agricultural policies, notably the continuing elimination of production‐enhancing subsidies, makes it possible for policies to respond to social issues such as the rural environment and health in future. In this paper, we draw on a Rural Economy and Land Use (RELU) research project which is examining the potential for the development of healthy food chains and the implications for human health and the environment. One of the key issues to be addressed is consumers’ willingness to pay for the nutritionally enhanced food products from these new chains, but it is evident that only a partial understanding can be gained from a traditional economics approach. In the paper, we discuss how economists are beginning to incorporate views from other disciplines into their models of consumer choice.     

Effects of differential information on the after-market valuation of initial public offerings

This paper examines the after-market for initial public offerings (IPOs), particularly the security valuation effects of structural differences in available information. There is a diversity of information among issuing firms at the time of their offering and particularly under certain market conditions. Because this diversity decreases with time and after-market trading, the IPO market provides an ideal setting for testing errors due to differential information levels in early after-market valuation of IPO firms. We find evidence that during “hot” market conditions and for firms characterized by low levels of available information, the market values of issuing firms are more likely to be overestimated in the immediate after-market. We also find positive overestimation of market values to be more likely for larger IPOs and for those marketed by the less prestigious underwriters.     

Sustainable development: A co-evolutionary view

The challenges of sustainable development can be organized around three themes. First, modernization has been unsustainable because it has been supported by the use of hydrocarbon fuels and chemicals which are limited in availability and damaging to the atmosphere and terrestrial and aquatic systems. Sustainable development will require that the use of energy and chemicals be subservient to ecosystem maintenance. Second, political consensus and bureaucratic mobilization will be more difficult because we no longer believe that development is almost inevitable through the application of Western science. On the other hand, we may be less prone to make mistakes. The decline in belief in progress has also increased the opportunities for non-Western cultures to define development for themselves. Third, we are shifting from a mechanical to a co-evolutionary understanding of systems which helps explain why development has been unsustainable and what we must do to attain sustainability.     

The Impact of Company Pre-Listing Attributes on the Market Reaction to NYSE Listings

This study examines the market behavior of common stocks transferring from the NASDAQ stock market to the New York Stock Exchange from 1982 to 1989. Using event study methodology, the study tests the joint liquidity-signaling hypothesis that a stock's pre-listing liquidity and earnings per share (EPS) growth (a proxy for signaling) affect the market behavior around NYSE listings. The results show that the market responds more favorably to stocks with low liquidity and high signaling than to stocks with high liquidity and low signaling before listing. Stocks in the former group do not have an anomalous pattern of negative post-listing abnormal returns.     

The Bias Due to Omitting Income When Estimating Demand Functions

This paper obtains an expression of the bias when relevant explanatory variables are omitted in seemingly unrelated regression (SUR) models. A simple demand system is provided to illustrate the direction of the bias terms when a variable is omitted.
L'article permet d'exprimer le biais qui résulterait de l'omission de variables explicatives pertinentes dans des modéles de régression sans corrélation apparente (SUR). Le système de demande simple qui est présente ici met en évidence le sens des éléments de biais lorsqu'on omet une variable.     

Estimating the effectiveness of extension information systems using farm trials and subjective probabilities

A method of combining survey data and Dairy Herd Improvement Association (DHIA) records to achieve low cost farm trials is presented. Farm trials and surveys of current practices and production responses are useful to identify yield gaps between expectations predicted from experimental findings and actual field results. Different management schemes can be ranked using subjective probabilities and stochastic dominance to enhance successful implementation of research findings and to increase the feedback between researchers, extension workers, and producers. A survey of current masitis control practices and expected milk yield response is the example. Combining survey results with DHIA records allowed estimating the relationship between somatic cell counts (SCC) and milk yield. Eliciting beliefs about the relationship between SCC and milk yield showed that producers agreed with predictions from the statistical model. Subjective probabilities about SCC and mastitis control practices showed that our sample of experts and producers consistently ranked the different practices but extension agents had no consensus about the the most or least effective ones.     

The Wheat War of 1994

Following the signing of the 1989 Canada–United States Free Trade Agreement, sales of Canadian wheat to the United States grew rapidly. This resulted in a series of trade disputes, culminating in an investigation by the U.S. International Trade Commission (USITC) into the impacts of U.S. imports of Canadian wheat on the U.S. wheat farm program. A USITC finding of "material interference" would have led to a recommendation to implement tariffs or quantitative restrictions against Canadian wheat under Section 22 of the U.S. farm program legislation. The U.S. Department of Agriculture (USDA) claimed such material interference, but the U.S. flour millers, pasta makers and grain handlers, along with Canadian grain industry interests, testified that the true effects of imports are in the order of one–tenth of the effects claimed by the USDA. USITC staff analysis led to intermediate estimates of effects. This study explores the impacts of Canada–U.S. wheat trade on U.S. wheat prices and program costs, explains some of the differences in measured effects, and reports the outcome of the dispute.