In recent decades, urban encroachment and increasing environmental regulation have impacted California's dairy industry. A complicated set of environmental legislation affects dairies in the state, and can differ depending on location, creating the possibility for within-state pollution havens. This article details the regional, state, and federal environmental regulation of California's dairy industry, and examines data to see if it matches a hypothesis of regulation affecting dairy location. Using county-year data, we show evidence of changing dairy location within the state matching times of local legislative action. The Central Valley gained production, while the more regulated and urban-affected Los Angeles area lost. Large dairies have increased by 150 percent in the Central Valley, even as the number of small farms in the region declined by 40 percent. More rigorous analysis is necessary to discern the relative impacts of land prices and regulation on dairy location.

As a first effort at modeling nonalcoholic beverage demand in a systemwide framework that includes bottled water, this article examines the impact of advertising on the demand for nonalcoholic beverages in the United States. We employed an AIDS (almost ideal demand system) model of five jointly estimated equations that included advertising expenditures as explanatory variables to evaluate annual U. S. consumption of nonalcoholic beverages for 1974 through 2005. Results suggest that advertising increases demand for fluid milk, soft drinks, and coffee and tea, but not for juice or bottled water. Advertising spillover effects occur in over 50 percent of the cases considered, and such effects can be substantial, particularly for advertising of soft drinks, and coffee and tea. We find that a large increase in the retail price of fluid milk, an increasing trend towards dining out, and positive spillover effects from soft-drink advertising made significant contributions to bottled water's success in recent years.

While it is generally accepted that change in the real value of the dollar is an important determinant of exports, it has not been rigorously demonstrated that this relationship, derivable from theory, holds empirically for agricultural exports and the components of agricultural exports. Starting with a dynamic maximizing framework, this paper estimates the real trade-weighted exchange rate and trade partner income effects on U. S. agricultural exports. For the period 1970–2006, a one percent annual increase in trade partners’ income is found to increase total agricultural exports by about 0. 75 percent, while a one percent appreciation of the dollar relative to trade partner trade-weighted currencies decreases total agricultural exports by about 0. 5 percent. While these effects carry over to 12 commodity subcategories, they are conditioned by differences between bulk and high value commodities, and differences in the export demand from high compared to low income countries. We use a directed acyclic graphs (DAG) technique to identify the inverted fork causal relationships from vector autoregression (VAR) models. We also find that there is an asymmetric exchange rate effect so that the negative effect of exchange rate appreciation on exports sometimes dominates the positive effect of foreign income growth.

Estimating how the use of production contracts affects farm productivity is difficult when unobservable factors are correlated with both the decision to contract and productivity. To account for potential selection bias, this study uses the local availability of production contracts as an instrument for whether a farm uses a contract in order to estimate the impact of contract use on total factor productivity. Results indicate that use of a production contract is associated with a large increase in productivity for feeder-to-finish hog farms in the United States. The instrumental variable method makes it credible to assert that the observed association is a causal relationship rather than simply a correlation.

A stochastic capital budget was used to analyze the effect of net metering policies and carbon credits on profitability of anaerobic digesters on dairy farms in Pennsylvania. We analyzed three different farm sizes—500, 1, 000, and 2,000 cows—and considered the addition of a solids separator to the project. Results indicate that net metering policies and carbon credits increase the expected net present value (NPV) of digesters. Moreover, the addition of a solids separator further increases the mean NPV of the venture. In general, the technology is profitable only for very large farms (1, 000+ cows) that use the separated solids as bedding material.

As a result of economies of size, food processors are generally large and few in number. These characteristics put processors at a bargaining advantage over independent farmers. Marketing cooperatives were established to counter the uneven bargaining position of individual farmers. This article investigates the relative bargaining strength of one milk marketing cooperative and several fluid milk processors. The Nash bargaining model can be used to analyze the negotiated price in the Florida fluid milk market which acts like a bilateral monopoly. The milk marketing cooperatives have bargained well with the milk marketing processors; The monthly bargaining strength of the Southeast Dairy Cooperative, Inc. (SDC), exceeds the monthly bargaining strength of the processors in all twelve months, ranging from a low of 0.6664 in January to a high of 0.7831 in September. The monthly average bargaining strength across all months for SDC is 0.7326.

We investigate nutrient trading for point and non-point sources for the Bay Restoration Fund in Maryland. We demonstrate how to use the proceeds from the tax revenue to mimic a market by trading high-cost upgrades of sewage treatment plants for low-cost winter cover crops. Under an optimistic assumption about costs for non-point sources and naïve assumptions about the lag from planting cover crops to changes in nitrogen load, we calculate that 100 percent of abatement could be achieved at 56 percent of total costs, while in a pessimistic scenario, 100 percent of abatement could be could be achieved at 83 percent of total costs.

We estimated the economic benefits resulting from controlling soybean aphid infestation by using a multi-regional competitive dynamic equilibrium model. Results indicate that the reduction of soybean production resulting from a soybean aphid infestation is largely absorbed by reducing soybean exports, due to the higher price elasticity of export demand compared to domestic demand. Producer benefits resulting from controlling soybean aphids would increase by between $949 million and $1.623 billion in ten years under various scenarios. Results also suggest that it is economically more efficient to control soybean aphids when the rate of intrinsic growth is relatively lower, the supply price elasticity of soybean acreage is relatively more elastic, and insecticide treatment costs per acre are lower. However, if the discovery of the gene Rag-1 (TF04048) leads to new cultivars that withstand the soybean aphid, our estimates will overestimate the actual damages. Even so, our analysis demonstrates that it is critical to control soybean aphids early in their infestation cycle to avoid a rapid increase in damages.

This study analyzes quantity impacts of imported crawfish tailmeat on Louisiana crawfish tailmeat prices, and demonstrates the statistical validity and proper interpretation of cross substitution within inverse demand systems. Among five inverse demand systems, the Differential Inverse National Bureau of Research (DINBR) model shows no violation of econometric assumptions for the data analyzed. By using Allais coefficients proposed by Barten and Bettendorf (1989), we show substitutability among the five fish species.

In this article, we introduce a recreational amenity—a greenbelt park—into a simple urban economic model. For multiple possible park placements, we solve for the associated equilibrium urban structure, including the equilibrium rent gradient, city boundary, total number of park visits, the overall utility level, and total vehicle miles traveled. We examine how these change with alternative park placement sites. We then show how two modifications of the basic model—allowing congestion at the site to affect site quality, and introducing the possibility of a substitute site at the city's periphery—affect our conclusions about how greenbelt location influences urban structure.

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.

Competition from new store formats including supercenters, warehouse clubs, and mass merchandisers has emerged as a major threat to traditional grocery chains. A primary objective of this paper is to understand how the store-level performance is related to the workforce composition of full-time and part-time employees chosen by the food retailer along with benefits and incentives provided to employees. The elasticity of complementarity for food retailers measures how changes in store size affect use of full-time and part-time employees. Larger store size increases the marginal value of labor, and firm hiring decisions shift to expanded use of part-time employees.