Retail Meat Feature Pricing: Enhancing Meat-Case Revenues?

Retail meat managers have many pricing tools to encourage product purchase, including the feature price, syndicate price, and the percent discount. Given seasonal demands and a large, diverse set of meat cuts, meat managers may form strategic pricing groups when choosing the feature-price, syndicate-price, and percent-discount levels. This research inductively determines these groups using a principal-components method and examines the role feature pricing plays in determining the volume sold and syndicate price. Seemingly unrelated regression (SUR) models are used to simultaneously estimate the impacts of featuring strategy decisions among cluster groups.Demand and Price Analysis,

Animal Disease Economic Impacts: A Survey of Literature and Typology of Research Approaches

Animal diseases such as bovine spongiform encephalopathy (BSE) are a threat to the animal product marketing sector and the broader economy. Policy makers and industry stakeholders seek a means of assessing a disease threat's economic impacts when evaluating prevention and mitigation measures. But, differences in the focus of the impact analysis (production level, market prices, welfare), level of analysis (geographically, marketing phase) and proposed policy alternatives all influence the analytical approach. This paper surveys previous research, focusing on methodological approaches and results. Drawing from past research and future economic data needs, a typology is developed to guide researchers when defining the scope and policy alternatives of various research approaches.Animal disease economics, Literature review, Marketing channel, Livestock Production/Industries, Marketing,

Consumer Responses to Recent BSE Events

Recent bovine spongiform encephalopathy (BSE, a.k.a. mad cow disease) discoveries in Canadian and U.S. beef cattle have garnered significant media attention, which may have changed consumers’ meat-purchasing behavior. Consumer response is hypothesized and tested within a meat demand system in which response is measured using single-period dummy variables, longer-term dummy variables, and media indices that count positive and negative meat-industry articles. Parameters are estimated using retail scanner data, and cross-species price elasticities are calculated. Results suggest that the BSE events negatively impacted ground beef and chuck roasts, while positively impacting center-cut pork chop demand. Dummy variables explained the variation in meat-budget shares better than did media indices.Consumer/Household Economics,

Retail Meat Feature Pricing: Enhancing Meat-Case Revenues?

Retail meat managers have many pricing tools to encourage product purchase, including the feature price, syndicate price, and the percent discount. Given seasonal demands and a large, diverse set of meat cuts, meat managers may form strategic pricing groups when choosing the feature-price, syndicate-price, and percent-discount levels. This research inductively determines these groups using a principal-components method and examines the role feature pricing plays in determining the volume sold and syndicate price. Seemingly unrelated regression (SUR) models are used to simultaneously estimate the impacts of featuring strategy decisions among cluster groups

Animal Disease Economic Impacts: A Survey of Literature and Typology of Research Approaches

Animal diseases such as bovine spongiform encephalopathy (BSE) are a threat to the animal product marketing sector and the broader economy. Policy makers and industry stakeholders seek a means of assessing a disease threat's economic impacts when evaluating prevention and mitigation measures. But, differences in the focus of the impact analysis (production level, market prices, welfare), level of analysis (geographically, marketing phase) and proposed policy alternatives all influence the analytical approach. This paper surveys previous research, focusing on methodological approaches and results. Drawing from past research and future economic data needs, a typology is developed to guide researchers when defining the scope and policy alternatives of various research approaches

Chacterizing U.S. Dairy Farm Wealth and Income Distributions

Income and wealth inequality of U.S. dairy farms was estimated via the adjusted-gini coefficient using data from the 2005 and 2010 ARMS dairy costs and returns Phase III survey data. Results at the sample level demonstrate income and wealth inequality exists. A sample level quantile regression was estimated at decile (10%) increments to determine the factors that caused this inequality using net farm income per cwt of milk sold and net worth per cwt of milk sold and income and wealth measures, respectively. Results indicated that organic producers had higher income and wealth levels than conventional producers for both measures while life cycle effects were only present for the wealth measure