U.S. demand for organic and conventional vegetables: a Bayesian censored system approach

Demand for organic and conventional vegetables is investigated using data from A.C. Nielsen’s 2006 Homescan panel. We use a Bayesian Markov chain Monte Carlo technique, along with data augmentation, to estimate a large linear approximate Almost Ideal Demand System with censored dependent variables. Demands are price elastic, and expenditure elasticities are very high for organic vegetables, whilst demands for conventional vegetables are primarily inelastic. We find a mix of gross substitution and complementarity among the vegetable products, but net substitution is the dominant pattern. Socio‐demographic characteristics also play important roles in demands. These findings can inform deliberations about marketing campaigns, nutrition education and policy interventions.     

A new market for an old food: the U.S. demand for olive oil

While U.S. consumption of olive oil has tripled over the past two decades, nearly all olive oil continues to be imported. Estimation of a demand system using monthly import data reveals that the income elasticity for virgin oils sourced from EU is above one, but demand for nonvirgin oils is income‐inelastic. The demand for olive oil as a single product is price‐inelastic. Differentiated by product characteristic and origin, olive oils are highly substitutable with each other but not with other vegetable oils. News about the health and culinary benefits of olive oil and the spread of Mediterranean diet contribute significantly to the rising demand.     

Dynamic factor demand equations in U.S. and Canadian agriculture

This research provides one of the first empirical estimates of a data-based dynamic factor demand model for American and Canadian agriculture. Models such as these deserve more widespread use in the empirical analysis of agriculture. These models have the advantage that they do not impose inappropriate dynamics on the data. Rather they permit the data to select the appropriate dynamics. We use a model originally developed by Anderson and Blundell. This model is a general first-order dynamic model which contains as testable hypothesis several simpler models. This model permits us to estimate the long-run agricultural production structure as a subset of the dynamic parameter estimates. We will test this long-run structure for symmetry, homotheticity and neutral technical change. The estimated models may be used to test for three alternative dynamic structures. In the limit, dynamics may not be needed and we can test for the static long-run equilibrium model. Two intermediate cases are the autoregressive and the partial adjustment models which are simpler than the general model but still include dynamics. Our results suggest that the long-run equilibrium model is unsatisfactory in both countries. A dynamic model is needed. In both countries, the two more restricted dynamic models are rejected. The general dynamic model is required. In Canada, the long-run equilibrium structure is homothetic with neutral technical change. In the United States, homotheticity is also accepted but neutral technical change is rejected.     

The Cotton Influence Index: An Examination of U.S. Cotton Subsidies

Given the lack of a bill or amendment specific to cotton, we introduce a Cotton Influence Index to capture legislators' influence in championing the cause of the cotton growers during the hearings of the Farm Security and Rural Investment Act of 2002. Regression analyses reveal a relationship between Cotton Influence Index and campaign contributions, cotton farmland, party affiliation, and ideology. Tobit analysis indicates a significant relationship between different "actions and participations" by representatives to advance the interest of cotton—that is, components of this index and their future cotton political action committees' (PACs) contributions to them.     

Comparing heterogeneous consumption in U.S. and Japanese meat and fish demand

This article uses national, quarterly data to conduct an empirical analysis of pre‐committed meat and fish demand by U.S. and Japanese households using the generalized almost ideal demand system (GAIDS). Pre‐committed demand represents the component of demand that is insensitive to both income and price adjustments. U.S. consumers are found to hold significant positive pre‐committed demand for beef and pork, while Japanese consumers appear to possess significant, positive pre‐committed demand for beef and fish. This provides evidence to partially explain observed differences in Japanese and U.S. consumer reactions to nonprice and nonincome effects in beef, pork, poultry, and fish. In addition, based on in‐ and out‐of‐sample performance, the more general GAIDS is preferred to the almost ideal demand system (AIDS) for both the U.S. and Japanese demand systems. Results lend to improved demand modeling efforts and more complete understanding of true market forces at hand in meat and fish markets for these culturally diverse consumer groups.     

The Nested PIGLOG Model: An Application to U.S. Food Demand

A new demand system is introduced, the Nested PIGLOG model, nesting thirteen other demand systems including five that are also new. This new model and its nested special cases are applied to models of U.S. food demand that include food-at-home (FAH), food-away-from-home (FAFH), and alcoholic beverages. Although nested tests and out-of-sample forecasting performance favor generalizing models to a certain degree, statistically insignificant improvements to in-sample-fit and even poorer out-of-sample forecast accuracy undermine further generalizations. Based on a subset of preferred models, FAFH is found to be price and income elastic compared to FAH which is price and income inelastic.     

Aquaculture imports from Asia: an analysis of U.S. consumer demand for select food quality attributes

The increasing share of imported food in the United States, coupled with highly publicized incidents of food contamination and adulteration in Asia, particularly China, is posing new challenges for consumers and food safety regulators. In this study, we focus on imported shrimp and tilapia, to evaluate consumer willingness‐to‐pay (WTP) for enhanced food safety, use of antibiotics, and eco‐friendly environmental practices. Results show that U.S. consumers were willing‐to‐pay more for enhanced food safety, followed by the use of no antibiotics and environmental friendly production practices. American consumers in our sample were found to have a higher WTP for domestic products and placed more trust on U.S. government verification of product attributes followed by third‐party certification.     

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.     

A multi-sector intertemporal optimization approach to assess the GHG implications of U.S. forest and agricultural biomass electricity expansion

This study applies an intertemporal partial equilibrium model of the U.S. Forest and Agricultural sectors to assess the market, land use, and greenhouse gas (GHG) implications of biomass electricity expansion. Results show how intertemporal optimization procedures can yield different biomass feedstock portfolios and GHG performance metrics at different points in time. We examine the implications of restricting feedstock eligibility, land use change, and commodity substitution to put our results in the context of previous forest-only modeling efforts. Our results highlight the importance of dynamic considerations and forest and agricultural sector interactions on projecting the GHG effects of biomass electricity expansion in the U.S.     

Output and input bias effects of U.S. direct payments

This study examines the national effect of U.S. direct payments on the extent and direction of biased technical change on U.S. agriculture. We also assess the economic significance of the estimated bias effects for economic policy modeling endeavors involving a reduction of domestic support payments. A two outputs (livestock and crops) and four inputs (labor, capital, land, and material) translog cost function was estimated from national time series (1948–2011) data. Results indicate that payments do not induce output‐biased technical change. We do find evidence of Hicksian bias that is land using and material input saving attributable to support payments. Global computable general equilibrium simulations suggest that price and output effects of discontinuing direct payments are 1/4 to 1/3 the size once the bias effects are incorporated.     

The influence of immigration and international tourism on the demand for imported food products

The role of immigration and international tourism in food product imports, as two factors which potentially influence the (trans-) formation of tastes in a country, is theoretically and empirically analysed. In using an econometric error-correction specification of an import demand function, the scale of the impact of these two factors is estimated for the case of Germany (annual data from 1967 to 1990). The results show that, while aggregate food import demand from India, Thailand, China and Turkey is inelastic with regard to migration to Germany and international travel activities of Germans to these destinations, the estimated average elasticities for imports of wine, cheese and processed/preserved vegetables from France and Italy are all well above unity, thus suggesting that immigration and international tourism may indeed affect the import demand for certain food products.     

Modeling inter-sectoral growth linkages: An application to U.S. agriculture

General equilibrium and open economy trade theory are used along with time series data on the U.S. agricultural sector to provide insights into the structure of agricultural supply, factor returns and linkages to the rest of the economy. Output expansion and factor returns are found to vary depending on relative factor intensities, which we refer to as Rybczynski and Stolper-Samuelson like effects. The effect of the rest of the economy, particularly the increase in price of services, is found to have relatively large negative impacts on agriculture. The short-run effects of prices and factor endowments on growth in agricultural supply and factor returns are dominated by the long-run effects of technological change.     

An Analysis of Dynamic Economic Relationships: An Application to the U.S. Hog Market

Recent advances in multiple time-series analysis are discussed and applied to data from the U.S. hog market. Vector-autoregressive and moving-average representations are derived and interpreted with respect to implied dynamic relationships among the variables.
Desprogrès récents dans l'analyse des séries temporelles multiples sont présentes el utilisés pour l'analyse des données sur le marché porcin aux Etats- Unis. Deux representations, la premiere vectorielle el autoregressive et la seconde moyennes mobiles, sont dérivées et interpretées selon les relations dynamiques implicites des variables.     

An Analysis of Household Beef Consumption of Japanese Expatriates in U.S.:

This paper uses a novel approach to investigate how food consumption in Japan may change as Japanese consumers become more westernised in their tastes and preferences for food. It is widely believed that as food prices in Japan fall to international levels and as Japanese consumers become more westernised in their taste and preferences for food, their meat consumption patterns, in particular, will approach those of western countries. The approach undertaken in this paper involves a comprehensive survey of Japanese expatriates in Los Angeles, California, regarding their food consumption habits. The findings are interesting as they shed some light on the changing nature of food consumption of accultured Japanese faced with competitive food prices. The results indicate that although household meat consumption of Japanese expatriates have changed, it remains debatable, however, that their food consumption habits will approach those of western consumers in the foreseeable future. The findings have important implications for food marketeers in Japan and elsewhere, particularly as further liberalisation of food import in that country gains momentum.     

Importing terrestrial biocapacity: The U.S. case and global implications

Human societies depend for their survival on goods and services provided by both local and global ecosystems. For most of history, people used mainly local resources. Increasingly, however, globalization and trade enable consuming populations everywhere to support themselves on the output of distant ecosystems. This is potentially problematic because of global change and because the spatial separation of material production (including resource exploitation) from consumption eliminates the direct negative feedback that normally occurs when people dependent on local ecosystems degrade those ecosystems. With spatial separation comes psychological separation. Modern consumers remain generally unconscious of their growing reliance on biophysical goods and services produced half a world away and see no connection between their consumer lifestyles and distant ecological consequences. The purpose of this paper, therefore, is to raise a cautionary flag about unfettered trade and to show the value of accounting for trade-related physical flows and their impacts on natural capital in sustainability analyses. Using the United States as an example, we present an analytical method that can locate and measure the ecosystem area embodied in any population's imports of renewable resources. We quantify U.S. imports from specific countries around the world; we estimate the area of terrestrial ecosystems in those countries devoted to consumers in the U.S. and we highlight both increasing U.S. imports and their potential impact on extra-territorial ecosystems. This method creates indirect (conceptual) feedback between consumption and ecosystems integrity which we hope will partially replace the physical feedback neutralized by globalization. Such analyses can help generate public and decision makers’ awareness of both their dependence and their impacts on, distant natural capital stocks. This in turn should increase interest in establishing improved co-management regimes to maintain the stability and reliability of such now obligatory relationships.     

An econometric analysis of U.S. vital wheat gluten imports

In light of the wheat wet milling industry's development in the E.C. and of the prominent role U.S imports play in the international market for wheat gluten, this paper discusses the international market for wheat gluten, an important component of processed grain products. An econometric analysis of the U.S. import demand for wheat gluten is undertaken. The price of flour, income, and the U.S. value of wheat protein are found to be important determinants of wheat gluten imports.     

An analysis of bundle pricing in horizontal and vertical markets: The case of the U.S. cottonseed market

The U.S. cottonseed market has seen the rapid development and adoption of seeds with differing bundles of genetically modified (GM) traits. It has also seen an increase in vertical integration by biotechnology firms. In this article, we investigate the price impacts associated with structural changes in the U.S. cottonseed market from 2002 to 2007. We develop a structural model to examine the substitution/complementarity relationships among cottonseeds sold with different genetic trait bundles and under different vertical arrangements. We examine the price impacts emanating from product differentiation, market concentration, and market size. The econometric investigation finds evidence of subadditive bundle pricing in patented biotech traits. While higher own‐market concentrations are found to be associated with higher prices, we also uncover evidence of cross‐product complementarity effects that lead to lower prices. Simulations are used to evaluate net price effects, illustrating the usefulness of the approach in the analysis of changing market structures.