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| Dong, Fengxia; Jensen, Helen H.. |
| Consumer demand for reliable food product quality and safety is growing. This trend, together with increased public regulation and attention to the legal liability of food processors and retailers creates derived demand for food safety assurance in farm production. In consequence, farms have adopted different measures, voluntarily or compulsorily, in their production practice to ensure reduced food safety risks from the farm product. Multiple individual indicators exist which reflect different facets of food safety practice. In fact, it is likely that production of a safer product is a result of several factors. However, little is known about what practices effect greater food safety control at the farm level, or how farms that take greater food safety... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Food safety control; Hog farm; Composite indicator; Food Consumption/Nutrition/Food Safety. |
| Ano: 2011 |
URL: http://purl.umn.edu/103863 |
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| Hlavsa, Tomas. |
| Composite indicators are useful as tool for complex evaluation and aggregation of different variables of regional development. Variables which are aggregated in a composite indicator have first to be weighted. All variables may be given equal weights or they mea be given differing weights which reflect the significance, reliability or other characteristics of the underlying data. The weights given to different variables heavily influence the outcomes of the composite indicator. Aim of this paper is an evaluation of selected methods for weighting of particular variables in frame of composite indicator construction. Evaluation is verified on group of regional economic variables based on Strategy of regional development. |
| Tipo: Journal Article |
Palavras-chave: Composite indicator; Region; Principal component analysis; Expert; Community/Rural/Urban Development; Research Methods/ Statistical Methods; GA; IN. |
| Ano: 2010 |
URL: http://purl.umn.edu/99082 |
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| Fritzsch, Jana. |
| European politicians encourage the income diversification of rural households through various measures. Although being aware of farm households’ potential for non-farm income diversification seems important for finely-targeting such policy measures, no attempt has thus far been made to summarise the various determinants of income diversification in a single figure. This contribution aims to close this gap. A composite fuzzy indicator that measures farm household potential for non-farm income diversification is developed and applied to 1,053 farm households in Bulgaria, Hungary, Poland, Romania, and Slovenia. The indicator summarises the incentives of and capacities for non-farm income diversification on the individual household member level, and on the... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Composite indicator; Fuzzy logic; Rural non-farm income diversification; Transition countries; Consumer/Household Economics; C65; J24; Q12; R23. |
| Ano: 2011 |
URL: http://purl.umn.edu/114349 |
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