China’s small-scale agricultural producers face many challenges to increasing productivity and efficiency. In recent years, the Chinese government has provided support for farmer professional cooperatives (FPCs) to connect small farms with upstream and downstream processes in the food supply chain. This study combines propensity score matching and sample selection-corrected stochastic production frontier analysis to estimate the impacts of FPC participation by greenhouse vegetable producers on technical efficiency and income. Results indicate that FPCs help participants improve returns to scale and marginal returns to land and labor, increase technical efficiency, and obtain ¥4,460 (18%) greater income per greenhouse than nonparticipants.

This paper examines the linkages among agricultural total factor productivity, farm size, and farm household participation in the off-farm labor market for the Southeastern states for the period 1960-1996. We find evidence of a simultaneous relationship between productivity and measures of farm structure. The results support the expected relationships between the endogenous variables, namely that productivity and farm size are positively related, farm size and off-farm work participation are negatively related, and off-farm work and productivity are negatively related. We find positive and significant impacts of government policies (investments in public research, extension, and highways) on productivity growth.

An efficient market has been described by Fama (1970) as one in which prices always fully reflect all available information. Of the three tests of efficiency discussed, the weak form test is concerned with the randomness of price movements and measures the ability to predict future price changes from past and present changes. There are two general ways to evaluate weak form efficiency: statistical tests and mechanical trading rules. Statistical methods, including serial correlation, spectral analysis and nonparametric runs tests, permit hypothesis testing, but Fama and Blume (p. 227) point out that they may be of limited value with complex or irregular price structures.

This paper explores the influence of demographic and spatial variables on individual participation and consumption of wildland area recreation. Data from the National Survey on Recreation and the Environment are combined with geographical information system-based distance measures to develop nonlinear regression models used to predict both participation and the number of days of participation in wilderness and primitive area recreation. The estimated models corroborate previous findings indicating that race (black), ethnicity (Hispanic), immigrant status, age, and urban dwelling are negatively correlated with wildland visitation, while income, gender (male), and education positively affect wild-land recreation participation and use. The presence of a distance or proximity factor mitigates some of the influence of race and ethnicity. The results of the cross-sectional models are combined with U.S. Census projections of total population, changes in population characteristics, and estimates of current National Forest Wilderness visitation estimates to give some insight into pressure that might be expected on the nation's designated wilderness during the next half century. Results generally indicate that per-capita participation and visitation rates will decline over time as society changes. Total wilderness participation and visitation will, however, increase, but at a rate less than population growth.

Increased use of alternative fuels and low commodity prices have contributed to the recent expansion of the U.S. ethanol industry. As with any competitive industry, some level of output price risk exists in the form of volatility; yet, no actively traded ethanol futures market exists to mitigate output price risk. This study reports estimated minimum variance cross-hedge ratios between Detroit spot cash ethanol and the New York Mercantile Exchange unleaded gasoline futures for 1-, 4-, 8-, 12-, 16-, 20-, 24-, and 28-week hedge horizons. The research suggests that a one-to-one cross-hedge ratio is not appropriate for some horizons.

This article analyzes factors that affected the decision to exit tobacco production in the wake of the tobacco buyout program using the data collected through a survey of Kentucky tobacco farmers. Using the Heuristic logistic regression model, we find that the decision to exit tobacco growing was affected by efficiency considerations, availability of off-farm employment, and exit barriers. Availability of off-farm employment had the strongest effect on farmers younger than 46, while the effect of variables measuring efficiency and exit barriers seemed to be more uniform across age groups. Based on the results we suggest several policy interventions.

Simulation has become a standard methodology in agricultural economics with models being used in all aspects of the profession. Johnson and Rausser identify two major types of production simulation models in their recent survey of the topic—firm and process models. Firm models, especially those concerned with growth, are most prominent in the agricultural economics literature. However, Johnson and Rausser also review some application of process models, which emphasize specific types of firm decisions. Biophysical simulation models are a specific form of these models concerned with the interaction of weather, soil, and/or biological processes in agricultural production and/or environmental loadings. In the recent agricultural economics literature, these models often are identified as bio-economic simulators. However, similar models are being utilized to evaluate erosion. Since erosion is largely a physical process, biophysical simulation seems more appropriate for the general classification of models considered in this paper.

Using IRI Infoscan data pertaining to six types of spaghetti sauces and employing an extension of the demand systems framework developed by Duffy, estimates are obtained of own-price, cross-price, and total expenditure elasticities as well as own- and crossproduct advertising elasticities. We augment the Duffy model through the use of a polynomial inverse lag mechanism to deal with the carryover effects of advertising. We also account for the impacts of features in newspaper fliers, in-store displays, and coupons. Advertising efforts by industry leaders in spaghetti sauce produce positive own-advertising elasticities (ranging from .000058 to .0168) and negative cross-advertising elasticities (ranging from –.000003 to –.0094). Own-price elasticities are in the elastic range, and nearly all compensated cross-price effects are positive, indicative of Hicksian substitutes.

Binary logit regression models were used to estimate factors affecting adoption of recommended management practices. Variables analyzed include aspects of farm structure, human capital, farm objectives, and production system employed by the producer. Results reveal that operation size and dependency upon income from the stocker operation, in particular, influence the adoption of recommended practices. Older producers and those pursuing a year-round production strategy were found to lag in adoption.

As farm income from tobacco production has declined in recent years, there has been increasing interest in identifying alternative sources of income for tobacco farmers in the southern United States The recent termination of the tobacco quota program has accelerated the exit of tobacco farmers and has heightened concern regarding the availability of substitutes for tobacco production. In this study, we examine factors influencing tobacco farmers' attempts to identify profitable alternatives to tobacco, their off-farm employment behavior, and changes in acres of tobacco cultivated using survey data collected from a panel of North Carolina tobacco farmers combined with market data.

In the past four decades, productivity in United States field crops has been transformed by the mechanical and fertilizer revolutions. Since input data are typically not available by crop, most investigations of productivity have been at the aggregate level. This paper develops a simultaneous equation, partial adjustment model of the demand for inputs, which generates estimates of the technical change parameters for wheat, corn, soybeans, and cotton. These estimates allow comparisons of the factor saving biases in technical change, leading to a novel test of the induced innovation hypothesis and the suggestion that the productivity slowdown may yet affect agriculture in the United States.

Land use changes and timberland use by ownership and forest type in Alabama and Georgia between 1972 and 2000 are analyzed using a modified multinomial logit approach. Low average land quality, federal cost-share incentives, and favorable returns to forestry relative to agriculture were the main factors associated with timberland increase. Higher forestry returns helped increase industrial timberland but not nonindustrial private forests. An increase in hardwood forests at the expense of softwood and mixed forests was driven by increasing hardwood returns. Increasing softwood returns and tree planting assistance programs alleviated declines in softwood forests. Because factors influencing timberland use changes differ by ownership and forest type, treating all timberland as one major category may lead to incorrect predictions.

Produced as a joint product, economic theory suggests that manure value could influence livestock management decisions such as herd size and optimal market weights. This study examines the concept of manure value and its connection with optimal replacement age or market weight. A model of a swine finishing operation representative of North Carolina conditions is developed. Over the range of conditions considered, manure value is negative and does not affect market weights. The marginal per head change in manure value is small relative to the marginal per head change in net returns from pork production. Further, economies of scale with respect to irrigation cause manure value to increase with herd size.

A visitor's decision to use a particular recreational site is influenced by the individual's taste as well as the characteristics of the site. For this reason, improved knowledge of the visitors' interests and factors influencing their choices are vital for both planning and policy formulations in coastal development. This study examines visitor characteristics and desired site-specific characteristics in order to determine the factors affecting use of the Louisiana coast for specific recreational purposes. We use a multinomial logit model and internet survey data to evaluate the factors affecting individuals' decisions to visit coastal Louisiana for a specific use. Results suggest that the major variables affecting the choice of coastal recreational activities include environmental quality of the site, income, and travel time.

The introduction of vertical coordination in the hog industry has provided producers with new business arrangements for raising hogs. While some researchers have elicited utility functions for hog producers on the basis of income risk, none have addressed autonomy, a factor which appears to be important in business arrangement selection for independent family hog operations. In this study, a method is developed for eliciting a multi-attribute function with attributes of income and autonomy. Utility functions are elicited for a group of Minnesota farrow-to-finish hog producers. For these producers, autonomy dominated risk as the most important attribute in business arrangement selection.

The Law of One Price (LOP) is important to models of international trade and exchange rate determination. This study investigates a variant of the LOP applied to developed and developing countries. The competing hypotheses are (1) that one price prevails in both developed and developing countries and (2) that one price prevails in developed countries and another single price in developing countries. Using data from an internationally competitive commodity (soybean meal), we found evidence favors the first hypothesis, although two large developing countries under study are active participants in regional trade integration, which may bias them against the first hypothesis.

This study measures willingness to pay (WTP) for extrinsic attributes (Angus, local, DNA traceable, raised carbon friendly, and humanely treated cattle) in steak and ground beef using choice-based experiments from a national consumer survey. Belief that survey responses could have consequences on beef products offered by the steak and ground beef industry is investigated, as well as its effect on attribute WTP. For most attributes, belief in consequentiality increases WTP. Results suggest that although consequentiality believers tend to place greater importance on certain food industry issues, they are less certain about the attribute's provision actually effecting change in the industry.

This study investigates consumer preferences for a marketing system that improves integration of farmers into a local food system. Attribute-based methods are used to estimate consumer willingness to pay for a locally grown product that is bundled with a local food bank (LFB) donation. Estimates reveal that, on average, households are willing to pay 11% more for locally grown relative to nonlocal agricultural products. When the locally grown product attribute is combined with a donation to support a LFB, the premium nearly doubles. Results suggest that the proposed system could provide resources to strengthen local food distribution networks.

This paper examines the relationship between industrialized production in the pork and broiler industries and the natural environment. Historical perspectives are presented regarding the movement toward increasingly concentrated and coordinated pork and broiler production units in the South. The relationships between animal by-product management and environmental quality, both at the farm level and within a geographic region, are addressed. Using the North Carolina pork industry as a background, current regulations and potential policy implications to protect environmental quality are discussed.

Field experiment data were used to study the effect of numeric calorie labels in two full-service restaurants. Ultimately, both field experiments, despite using different experimental designs, reached the same conclusion: the numeric calorie label had no significant effect on total caloric intake. However, results revealed the addition of a traffic light symbol to the numeric label led to a 67.8-kcal reduction in average calories ordered. Furthermore, results showed restaurant revenue is unlikely to be affected by the addition of calorie labels on menus. The results have implications for restaurant labeling laws that are being considered around the world.