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| Registros recuperados: 41 | |
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| Lee, Jonq-Ying. |
| Baseline estimates are generated using the Box-Jenkins time series expectation of non-promoted volume calculated at the store/week/UPC level. The expectation of sales is a weighted moving average of weekly observations of normal non-promoted volume. The relationship between baseline volume and promotional activities was examined using the ordinary least squares method in this analysis. |
| Tipo: Report |
Palavras-chave: Baseline; Orange juice; Nielsen; Agribusiness. |
| Ano: 2006 |
URL: http://purl.umn.edu/36833 |
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| Brown, Mark G.. |
| In this paper, estimates of the impacts of various factors on the refrigerated OJ sales in Wal-Mart (WM) stores are presented. Data on WM stores, as well as grocery stores doing $2 million or greater annual business, across 52 Nielsen city markets (including the remaining U.S.) were studied. Since WM does not have stores in San Diego, this market was omitted. Weekly data for each city from week ending 3/11/06 through 3/01/08 (104 weeks) were included in the analysis. The relationship between WM refrigerated OJ dollar sales per store and 1) WM and $2million store prices, $2 million store promotions, a dummy variable to test whether sales may spike during periods when some consumers receive their paychecks (middle or end of the month), the number of same... |
| Tipo: Report |
Palavras-chave: Demand; Orange juice; Wal-Mart; Agribusiness. |
| Ano: 2008 |
URL: http://purl.umn.edu/104322 |
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| Binkley, James K.; Canning, Patrick N.; Dooley, Ryan; Eales, James S.. |
| This paper examines how consolidation in the marketing system affects prices for orange juice. We isolated the pricing behavior of brand marketers, wholesalers, and retailers by observing the retail prices for specific orange juice products, including leading national brands and private label brands, in 54 U.S. markets over a 1-year period. The data provided little compelling evidence that consolidated markets engaged in non-competitive pricing behavior. Increased brand competition, particularly between private labels and leading national brands, did, however, appear to lower average market prices. |
| Tipo: Report |
Palavras-chave: Consumer demographics; National brands; Orange juice; Price behavior; Private labels; Wholesaler concentration; Retailer concentration; Demand and Price Analysis; Industrial Organization. |
| Ano: 2002 |
URL: http://purl.umn.edu/33659 |
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| Brown, Mark G.. |
| A recent study by Dong and Leibtag found coupons were effective in increasing fruit and vegetable demand. The current study supports these finding for the OJ product group. The analysis focused on the informational/advertising or demand shift impact of coupons, as opposed to the price impact which could not be determined since data on prices were a weighted average for coupon users and non-users. The results indicate a 6% increase in OJ gallons sales when coupons are used. The coupon variable used in the analysis, however, measures the extent of coupon usage but not intensity. As such, the results provide a partial view of the impact of coupons and further analysis on data that also includes some measure of intensity is needed to more fully evaluate... |
| Tipo: Report |
Palavras-chave: Coupon; Orange juice; Demand; Agribusiness. |
| Ano: 2010 |
URL: http://purl.umn.edu/104352 |
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| Brown, Mark G.. |
| The cross-section and time series model used in this study yielded a number of important estimates for OJ and GJ demand. The own- and cross-price elasticities were, in general, similar to those found in past studies. The dummy variable estimates to control for city size, seasonality and other city specific trends appear reasonable, suggesting this modeling approach, and perhaps other variants, is useful for analyzing combined city data over time. The promotional estimates of the study support previous findings that featuring and displays significantly increase demand. Features and displays together have the largest impact. Price discounts have the smaller impacts but their magnitudes are larger than found in previous studies. Finally, although both... |
| Tipo: Report |
Palavras-chave: Pooling; Cross-section; Time-series; Orange juice; Grapefruit juice; Agribusiness. |
| Ano: 2009 |
URL: http://purl.umn.edu/104333 |
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| Brown, Mark G.. |
| The demand for OJ in Europe, and in particular the own-price elasticity of demand, has been difficult to estimate due to lack of good data. Europe, however, is the largest OJ market in the world (USDA, Foreign Agricultural Service), and cannot be ignored in analyzing the U.S. and Florida OJ situations, given OJ is an internationally traded commodity. Thus, estimates of the impacts of factors such as own-price on Europe’s OJ demand are critical for understanding the market. The estimates in this study, although rough, provide some guidance for the magnitude of the price response in Europe, but to keep them in perspective, they are based on a relatively small number of observations and a proxy variable, suggesting that, as more and hopefully better data... |
| Tipo: Report |
Palavras-chave: Demand; Orange juice; Europe; Agribusiness. |
| Ano: 2010 |
URL: http://purl.umn.edu/104349 |
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| Sterns, James A.; Spreen, Thomas H.. |
| The processed citrus industries of Sao Paulo, Brazil and Florida, United States collectively account for over 80 percent of world orange juice production. In recent years, both industries have been confronted with serious plant disease outbreaks. Porter’s Diamond framework is used to assess the strengths and weakness of the processed citrus industry in each country to confront the combined challenge of effectively combating these diseases while maintaining market competitiveness. Although Sao Paulo and Florida produce a similar product, the Porter’s Diamond framework reveals that there are significant differences in the organizational structure of the two industries. The article concludes with an analysis of how these differences will impact each... |
| Tipo: Journal Article |
Palavras-chave: Orange juice; Porter’s diamond; Competitive advantage; Food Consumption/Nutrition/Food Safety; Research Methods/ Statistical Methods. |
| Ano: 2010 |
URL: http://purl.umn.edu/97233 |
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| Registros recuperados: 41 | |
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