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| Registros recuperados: 70 | |
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| Davis, Christopher G.; Blayney, Donald P.; Cooper, Joseph C.; Yen, Steven T.. |
| This study examines retail fluid milk products purchase data from Nielsen 2005 home scan data. The demand for seven categories of fluid milk products were estimated: whole milk, whole flavored milk, reduced fat milk, flavored reduced fat milk, buttermilk, canned milk and all other fluid milk products. Analyses of the purchases of seven fluid milk categories based on the Nielsen 2005 home scan retail data are used to determine the roles marital status, age, race, education, female employment status and location play in the empirical estimations of aggregate demand elasticities. To derive the demand elasticities, a censored translog demand system is used. The results reveal that price and income are the main determinants of demand for fluid milk products... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Nielsen home scan retail data; Milk demand; Elasticities; Fluid milk; Reduced fat milk; Whole milk; Flavored milk; Canned milk; Buttermilk; Non-linear AIDS; Censored translog demand system; Consumer/Household Economics; Demand and Price Analysis; C25; D12; Q11. |
| Ano: 2009 |
URL: http://purl.umn.edu/51791 |
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| Staus, Alexander. |
| This article analyses dealer satisfaction data in the agricultural technology market in Germany. The dealers could rate their suppliers in the ’overall satisfaction’ and in 38 questions which can be summarized in 8 dimensions. An ordinal regression model which is also known as the proportional odds model is used to analyse the ordinal scaled rating of the dealers. The ordinal regression model is a well examined method in econometric theory, but many authors prefer using a linear regression model due to better interpretation, even the assumptions of a linear regression do not fit the data. Since the estimated coefficients of an ordinal regression model can not be properly interpreted we show other methods for a better insight of the relationship of the... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Keywords: ordinal regression; Dealer satisfaction; Interpretation; Agricultural and Food Policy; Marketing; C25; C51; Q13. |
| Ano: 2007 |
URL: http://purl.umn.edu/98632 |
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| Novoselova, Tatiana A.; van der Lans, Ivo A.C.M.; Meuwissen, Miranda P.M.; Huirne, Ruud B.M.. |
| This study evaluates consumer acceptance of different GM applications in the pork production chain. In general, results indicate that consumers prefer conventional pork over pork for which genetic modification was applied. However, the negative impact of the GM applications is compensated by improvements in quality, increased animal welfare, a lower impact on the environment, less residues and a price discount. Of these benefits, increased animal welfare has the most positive effect on consumer choices. With substantial monetary compensation and presence of various benefits the consumers will attach higher utility to the GM pork than to the conventional pork. The amount of monetary compensation is dependent on the type of GM application. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Consumer acceptance; Genetic modification; Choice modelling; Consumer/Household Economics; C25; D12; Q13. |
| Ano: 2005 |
URL: http://purl.umn.edu/24527 |
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| Kimenju, Simon Chege; De Groote, Hugo. |
| A survey of 600 consumers was conducted in Nairobi to determine attitudes and willingness to pay (WTP) for GM maize meal. WTP was estimated using the double-bounded logit model. Overall, 38% are aware of GM crops. Most consumers believe in the technology's positive impacts, but are concerned about environmental and health risks. Majority (68%) would buy GM maize meal at the price of their favourite maize meal brand. The mean WTP for GM maize meal is KShs 58 for a 2kg packet, a premium of 13.7 % over mean average price of favourite brands. WTP is influenced more by subjective than socioeconomic characteristics. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: GMO; Biotechnology; Consumer; Africa; Maize; Consumer/Household Economics; D12; C25; Q16. |
| Ano: 2005 |
URL: http://purl.umn.edu/24504 |
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| Lohr, Luanne; Park, Timothy A.. |
| We study the demand by organic farmers for technical advice using a quantile regression for the demand of organic farmers for consultations with private information providers. There is substantial heterogeneity in the impact of critical explanatory variables on consultations of organic farmer. Larger farm size has a positive effect on contacts, but the effect is absent for the highest number of consultations. Internet use has a positive marginal effect on visits to private information providers across each quantile, suggesting that expanded efforts to deliver programs through web-based resources are a useful investment for information providers. |
| Tipo: Article |
Palavras-chave: Organic farming; Technical assistance; Quantile regression model; Count data; Internet access; Marketing; C25; Q12; Q13; Q16. |
| Ano: 2012 |
URL: http://purl.umn.edu/123784 |
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| Registros recuperados: 70 | |
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