Response rates are one indicator of a survey's data quality, as a great deal of importance has been placed on the mail survey's response rate. However, a telephone survey's response rate usually is not reported. Even if one is reported, the numbers used in the calculation are rarely defined making the response rate interpretation unclear. Using a recent telephone survey of Pennsylvania dairy managers, this paper demonstrates how telephone survey data should be reported. Essentially, every research report should include a discussion of how the survey was conducted, a disposition table, and well-defined formulas used to calculate response rates.

The role of land values in the dairy industry of an urban-influenced region is investigated by estimating a dairy herd equation based on pooled cross-section and time-series data from counties in New Jersey, Pennsylvania, and New York. The use of cross-terms between hypothesized causal variables and a dummy variable capturing the effect of location allowed the estimation of the differences across states in the effects of milk, feed, and land prices. Results confirm the important role of rising land values in the decline of the dairy industry in the tri-state area, and suggest greater vulnerability of dairy enterprises in urban-influenced areas to rising adverse economic forces. The adverse effects of declining milk prices and higher land values are greatest in New Jersey. The results support the notion that programs such as price support, farmland preservation, farmland assessment, and right-to-farm may have to be maintained in order to retain dairy farms at the urban fringe, where land values are rising rapidly.

This study examines vertical coordination in the wine industry emerging in Illinois. We find that quality matters as temporal issues related to grape perishability increase the probability of written contracts being used to procure grapes. Holdup concerns related to sourcing adequate quality grapes and at-risk investments in grape storage and winemaking equipment lead to vertical integration. In general, larger wineries must obtain some grapes from outside vineyards and sell wine predominantly through tasting rooms and distributors. Smaller wineries rely more on direct sales to retailers, festivals, and farmers' markets. Marketing outlet selection also reflects the types of wine produced.

In recent years, there has been significant growth in the sales of plant-based alternatives to meat and dairy products. However, it remains unclear whether these alternatives are actually reducing sales of livestock-derived products. This paper examines the relationship between the sales of one particular livestock-derived product – unflavored dairy milk – and its plant-based alternative – nondairy milk. Using data from a panel of US consumers between 2004 and 2018, I find that a 1-gallon increase in nondairy milk sales is associated with a 0.43–0.60 gallon reduction in dairy milk sales. The inverse relationship between dairy and nondairy milk purchases is strongest among households with high initial expenditure on dairy milk. Despite the inverse relationship between dairy and nondairy milk purchases, the rapid increase in nondairy milk sales between 2009 and 2018 explains little of the concomitant decline in dairy milk sales.

This paper presents a dynamic principal-agent model of aquatic species invasions in which a manager, concerned about the spread of invasive species across lakes by boaters, sets interseasonal management controls on a lake-by-lake basis, and boaters make a series of intraseasonal trip decisions to maximize random utility during the course of the season, conditional on the controls imposed by the manager. The results of a simulated invasion of Eurasian watermilfoil (Myriophyllum spicatum) highlight interesting aspects of the optimal management policies under two different management objectives: maximizing boater welfare and minimizing milfoil spread.

Food hubs are of interest in regional and local food system development because they potentially enhance the sustainability of food supply chains. Expanding on earlier literature, this study introduces economies of scale into an aggregation hub location model and disaggregates production into four seasons to account for geographic and seasonal variation of US fresh produce production. A mixed integer linear programming model is formulated with the objective of minimizing total costs of assembly and first-handler operations. Results suggest scale economies have significant effects on the optimal number, locations, and sizes of aggregation hubs. We model regional and local food systems in a manner more consistent with economic theory and provide a richer framework for policy analysis.

We show how to solve the stochastic spatial-temporal price equilibrium model numerically using the Chebychev collocation method. We then use the model to analyze the joint and interactive stabilizing effects of competitive storage and trade.

Ecosystem management may extend multiple use management, where economists identify and value a complex mix of ecosystem outputs. The dominant theme in conservation biology favors “safe minimum standard” (SMS) constraints on ecosystem attributes, which respond to complex and purely uncertain ecological knowledge and lead economists toward valuation questions that identify “tolerable” constraints. A hierarchical SMS constraint raises substitution possibilities among ecosystem-level components. Economists may identify unavoidable resource tradeoffs, such as in allocating land among elements of a reserve network, particularly when ecological wealth differs among geographically dispersed human communities. Economic and ecological ironies obfuscate intuitive contributions to ecosystem management policy.

Pesticide regulation has become a topic of increasing interest in recent years, owing to rising public concerns about residues on foods, in drinking-water wells, and damage to wildlife. Public-opinion polls and political responses to incidents like the controversy over Alar suggest that demand for government intervention to protect public health and the environment from pesticides is high. Pesticides are toxic by design; survey evidence indicates that they are perceived as riskier than other, more common pollutants like auto exhaust (see, for example, Horowitz). Pesticide residues are not easily observable (short of laboratory analysis), making averting strategies by individuals extremely difficult and/or excessively costly to implement.

Agricultural and wildlife trade is subject to sudden, disruptive import restrictions arising from concerns over sanitary and phytosanitary safety and the conservation of natural resources. These restrictions can create significant international price differences that encourage the smuggling of goods across borders. This article presents an equilibrium model of smuggling where the supply and demand for smuggled goods depend on interregional price disparities in the presence of a trade ban. In this model, smuggling is more prevalent when demand and supply among trade partners is more inelastic or when there are fewer total trade partners at the time a trade ban is enacted. Applications are presented for regionalization, destruction of goods in government eradication programs, price support, stockpiling, and the development of substitutes. Regionalization may increase smuggling under certain production and consumption patterns.

A difference-in-differences approach is used to measure the impact of new inner-city grocery store developments on residential housing values in Worcester, Massachusetts. Using geocoded housing sales from 1988–2011, we develop a hedonic model, exploiting temporal and spatial discontinuities, to identify the effect of 12 new grocery stores on neighborhood housing prices. Results suggest these new stores were associated with an increase in sale prices of nearby homes, and these results could help inform current policies related to urban food deserts, in that new grocery stores have the potential to improve neighborhood wealth as well as health.

Innovation is an important part of energy policy, and encouraging clean energy innovation is often an explicit goal of policy makers. For local governments, promoting clean energy innovation is seen not only as a pathway to a cleaner economy but also as a tool for promoting the local economy. But is such optimism warranted? There is a substantial literature examining the relationships between innovation and environmental policy, but few studies focus explicitly on innovation at the state and local level. In this paper, I provide key lessons from research on clean energy innovation, focusing on lessons relevant for state and local governments. I then summarize the results of a recent working paper by Fu et al. (2018) that studied wind energy innovation across individual states in the United States. While state-level policies can promote clean energy innovation, it is overall market size that matters most. Thus, innovation need not occur in those states most actively promoting clean energy. I conclude with lessons for state and local governments drawn from both this work and the broader literature on energy innovation.

I directly estimate the acre-for-acre impact of crop insurance participation on Conservation Reserve Program (CRP) enrollment at the county level. The government may be sponsoring competing interests if subsidized insurance expands production at the expense of CRP. I employ an instrumental variables technique to correct for endogeneity in insurance decisions. Results suggest that an additional 1,000 acres insured reduces CRP enrollment by about three acres, though effect sizes vary by region. Local policy initiatives such as conservation compliance incentives could help offset local environmental consequences of converting land from CRP to insured production.

This study analyzes U. S. consumers' choice of cornflakes under five different labeling statements. Using a nationwide survey and choice modeling framework, results indicate that consumers value labeling statements differently, depending on the information contained on the label. The random parameter logit model results indicated that, compared to cornflakes that have no label information, cornflakes labeled “contains no genetically modified com” have a value of 10 percent more, the label “USDA approved genetically modified com” has a value of 5 percent more, and the label “com genetically modified to reduce pesticide residues in your food” has a value of 5 percent more. The results also suggest that consumers negatively valued the label “contains genetically modified com,” paying 6.5 percent less, and the label “may contain genetically modified com,” paying 1 percent less than the product that has no label information.

Agricultural policymakers place increasing emphasis on developing efficiency measures for organic producers in order to evaluate regulatory strategies and evolving organic market conditions. We develop technical efficiency measures for U. S. organic farmers using a stochastic production frontier. Farm decisions about acquiring and managing organic soil materials from on-farm and local sources are incorporated into the technical efficiency measure. Productivity differences between newer entrants to organic farming and more experienced producers are estimated in order to isolate the impact of learning and management expertise on farm-level technical efficiency.

Direct and indirect attempts to increase parents' fruit and vegetable purchases have had little, if any, success. Most of the disappointing results are reported in the grocery environment. In this context, embedding messages with social meaning may have a significant impact on current campaigns. We use the focus theory of normative conduct as an alternative theoretical framework and suggest that social norms that are salient, easy to interpret, and easy to compare against individuals' behavior may improve current attempts to increase parents' fruit and vegetable purchases in retail environments.

The Wisconsin Economic Impact Modeling System, a conjoined input-output/econometric model of Wisconsin counties, is used to simulate the economic and fiscal impact of two alternative residential development patterns. Under the first scenario, the impact of migrating retirees on a small tri-county region in northern Wisconsin is examined. Under the second scenario, the impact of the migration of younger families with children is examined. A comparison-contrast between the two scenarios demonstrates that the characteristics of the migrating household can have a significant impact on the nature of the impacts.

The objective of this paper is to illustrate that economic institutions matter, i.e., that different rules of trade present different incentives for bidding, asking, and trading in new markets, and that these different incentives lead to different price discovery patterns, which yield materially different outcomes. In a laboratory tradable fishing allowance system, when trade takes place through a double auction, which parallels an institution common in extant tradable allowance systems, markets are characterized by high volatility, and equilibrium does not obtain. However, when only leases, and not permanent trades, are permitted in the early periods, volatility is significantly reduced and equilibrium obtains. This dependence of equilibration and outcomes on institutions implies policy-oriented economists must consider institutions in designing new market-based management systems.

Using patent statistics related to solar power on a panel of eleven countries from 1990 to 2008, we build a reduced-form model to analyze the role that public policies play in fostering innovation. We conclude that public expenditure on R&D and feed-in tariffs have a significant effect on the development of solar energy. We also find a significant effect of electricity price, attributable to rising energy prices. Using patent citations, we estimate the knowledge flows available to inventors in each country over time and we find that the marginal productivity of R&D has a positive and significant effect on innovation.