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| Kumar, Sanjay; Suresh, Ram; Singh, Virendra; Singh, A.K.. |
| The present study has been carried out in the Barabanki district of Uttar Pradesh on economic analysis of menthol mint cultivation in the year 2010. The economics has been worked out by comparing costs and returns at different stages by the conventional method. The linear production function has been fitted to evaluate the resources-use efficiency in the production of menthol mint. The study has shown that the major portion of operational cost is shared by hired labour, interculture operations, distillation charges, irrigation and machine / tractor charge. The overall benefit-cost ratio has been found to be 2.55, which indicates a higher profit for farmers on less investment in mint cultivation. The independent variables like human labour, machinery,... |
| Tipo: Article |
Palavras-chave: Menthol mint; Medicinal and aromatic plants; Mentha crop; Barabanki district; Economic analysis; Agricultural and Food Policy; Q 12; Q 18. |
| Ano: 2011 |
URL: http://purl.umn.edu/119409 |
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| Chiodo, Emilio; Casolani, Nicola; Fantini, Andrea. |
| The paper analyses how different aspects connected with regulations can influence the consumers’ quality perception and the value that consumers attribute to the wine sector products. In particular, aspects concerning labelling and presentation of designations of origin, which, in turn, mirror different regulations of production methods, are considered. Consumers’ preference can allow enterprises to complying with more restrictive rules and sustain higher costs for differentiate their products and achieve higher quality. When choosing a product, consumers do not evaluate each single quality factor but the product as a whole, therefore the analysis has to be done with a methodology considering both the combination of all characteristics of the product, and... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Conjoint analysis; Designations of origin; Wine sector regulation; Consumer perception; Agricultural and Food Policy; Q 13; Q 18. |
| Ano: 2011 |
URL: http://purl.umn.edu/99590 |
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| Veeman, Michele M.; Li, Yu. |
| Building on the results of an initial analysis of risk ranking data collected from a representative group of some 850 Canadian respondents in early 2003, this study assesses a similar set of risk ranking questions applied to a somewhat larger representative group of some 1500 Canadians in late 2005. We also compare the 2003 and 2005 risk rankings. In both surveys, risk rankings for eight food safety issues (bacteria contamination, pesticide residuals, use of hormones in food production, use of antibiotics in food production, BSE (mad cow disease), food additives, use of genetic modification/engineering in food production, fat and cholesterol in food) and six environmental safety issues (water pollution by chemical run-offs from agriculture, soil... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Food safety risks; Risk perceptions; Environmental risk; Canadian agriculture; Ordered probit models; Food Consumption/Nutrition/Food Safety; C25; D12; I 19; Q 18. |
| Ano: 2007 |
URL: http://purl.umn.edu/7710 |
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| Guenther-Luebbers, Welf; Henke, Soren; Theuvsen, Ludwig. |
| Food prices have steadily risen since the 1990s, and price were especially volatile in the years 2008 and 2010. This trend has also been reflected in the European grain market, which presents all European companies along the food value chain with new challenges. This paper focuses on the impacts of increased price volatility on the grain market. Furthermore, it describes and evaluates government interventions attempting to reduce this volatility. At the same time, it describes and assesses private management methods of dealing with price volatility. In this article, we provide an opportunity to understand how the European cereals market evolved to reach its present state and suggest future possible price assurance systems, such as insurance for the basic... |
| Tipo: Presentation |
Palavras-chave: Management; Volatility; Grain Market; Risk and Uncertainty; Q 10; Q12; Q14; Q 17; Q 18. |
| Ano: 2012 |
URL: http://purl.umn.edu/122548 |
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