Home Bias in US Beer Consumption

We apply the Berry, Levinsohn and Pakes market equilibrium model to data from 30 brands of beer sold in 12 US cities over 20 quarters (1988–1992) to estimate consumers' preference for beer characteristics as well as for their cultural regions of origin. Consumer heterogeneity is accounted for with respect to age and income. Overall, our data is comprised of 7200 beer brand observations and 13 920 hypothetical consumer observations. Empirical results indicate that there is, indeed, home bias with respect to foreign beers, although it varies with consumer age and income.     

The impact of social media conversations on consumer brand choices

This paper estimates the impact of social media conversations on consumer valuation of brand characteristics and demand for carbonated soft drinks (CSDs). We formulate a random coefficient, discrete choice model of consumer demand that includes social media conversations, and estimate it matching Nielsen sales data on carbonated soft drinks to social media conversations on Facebook, Twitter, and YouTube. Empirical results indicate that consumers’ conversations about brands and nutritional aspects of CSDs have a significant impact on their valuation of brand characteristics and ultimately on their choices of CSDs. These findings have important implications not only for firms using social media as a strategic tool for effective brand promotion and product design but also for public health policies aimed at reducing the consumption of sugary beverages and high-calorie foods.     

Food environment and weight outcomes: a stochastic frontier approach

Food environment includes supermarkets, restaurants, warehouse clubs and supercentres and other food outlets. As such, it can affect weight outcomes through healthy food-access cost and availability, which in turn shape eating styles and habits. This article evaluates the impact of food environment on weight outcomes through a stochastic frontier approach (SFA) that comprehensively includes various components of the food environment. The model is estimated using body mass indexes (BMIs) as the dependent variable and demographics and food environment data from New England counties as explanatory variables. Empirical results indicate that supercentres and limited service restaurants are positively associated with weight gain, while full service restaurants are negatively associated with BMIs. In metropolitan counties, the presence of full and limited service restaurants has a significant impact on BMIs; in non-metropolitan counties, these establishments do not, except in those adjacent to metropolitan areas. Empirical results also validate SFA is a more appropriate specification than the standard linear model. In addition, SFA allows us to rank counties and identify targets for effective policy interventions. An ordered logit model of weight status is estimated with the same explanatory variables, confirming that the directions of the effects of the food environment components are similar.     

The agrifood cooperative netchain. A theoretical framework to study its configuration

This paper proposes a research framework of the design and configuration of agrifood chains where the focal firm is a second-tier cooperative (group of affiliated cooperatives) in order to assess the alignment of (relational) governance structures and coordination mechanisms in these chains with supply chain management (SCM) principles. The theoretical framework draws on the Relational View of inter-organizational competitive advantage and the Theory of Networks given that inter-cooperative vertical relationships are embedded in horizontal ties between firms (first-tier cooperatives) of social rather economic nature. The conceptual framework developed herein will help theory building in SCM, but most importantly, it will advance current knowledge on the scope of SCM in the agrifood cooperative sector.     

The impact of imports on price-cost margins: An empirical illustration

This article decomposes the impact of imports on domestic price-cost margins into separate price and cost effects. Using data from 24 food-processing industries, the empirical results show that although the direct impact of imports on prices is always negative, a positive net impact on price-cost margins occurs in industries characterized by low own-price elasticity of demand and diseconomies of scale. Further results show that the disciplining effect of imports is more preponderant the lower the degree of domestic competition. First version received: September 2000/Final version received: March 2002 RID="*" ID="*"  Professor and Associate Professor, respectively, in their respective departments. They can be reached at rigoberto.lopez@uconn.edu or elena.lopez@uah.es. The authors are grateful to two anonymous referees for their fruitful and helpful comments. Financial support provided by the USDA CSREES special grant No. 00-34178-9036 and by the Cátedras del Banco Santander Central Hispano-Universidad de Alcalá. This is Scientific Contribution No. 1794 of the Storrs Agricultural Experiment Station. RID="*" ID="*"  Professor and Associate Professor, respectively, in their respective departments. They can be reached at rigoberto.lopez@uconn.edu or elena.lopez@uah.es. The authors are grateful to two anonymous referees for their fruitful and helpful comments. Financial support provided by the USDA CSREES special grant No. 00-34178-9036 and by the Cátedras del Banco Santander Central Hispano-Universidad de Alcalá. This is Scientific Contribution No. 1794 of the Storrs Agricultural Experiment Station.     

Agricultural and monetary shocks before the great depression: A graph-theoretic causal investigation

This paper uses graph-theoretic methods to investigate the causal relationships between agriculture, money, interest rates, prices, and real GDP in 12 countries during the years 1869–1929. We find that agricultural production directly and indirectly causes real GDP in two-thirds of the cases. Monetary shocks also play an important causal role in about half the cases, but unlike agriculture, the causal links are usually indirect through other variables to real GDP. The direct causal link between money and prices is also particularly strong. Between 1869 and 1929, money causes prices in nearly all of the countries in the sample.