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Methodological Proposals For A Qualitative Evaluation Of Italian Durum Wheat Varieties

Listed author(s):
  • Luca GRILLI
  • Massimo Alfonso RUSSO
  • Roberto GISMONDI

In the complex frame of the EU agriculture politics, a particular relevant aspect is given by the new regulation on durum wheat production and diffusion incentives. These subsidies are assigned according to a particular indicator (Quality Global Index - QGI), built up through a weighted mean of four qualitative parameters. However, as we are going to show, the actual method used to evaluate QGI could not be statistically correct. In this work we propose, both from a theoretical and an empirical point of view, a comparison between the actual method and a series of alternative ones. A particular emphasis is given to a normalisation criterion, modified in order to properly take into account the asymmetry level observed on the four parameters empiric distributions.

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Article provided by Spiru Haret University, Faculty of Financial Management and Accounting Craiova in its journal Journal of Applied Economic Sciences.

Volume (Year): 7 (2012)
Issue (Month): 2(20)/ Summer 2012 ()
Pages: 103-122

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Handle: RePEc:ush:jaessh:v:7:y:2012:i:2(20)_summer2012:p:103
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  1. Luca Grilli & Massimo Alfonso Russo, 2008. "L'ordinamento dei dati multivariati in problemi di scelta: il caso degli incentivi dalla PAC," Quaderni DSEMS lg_mtisd_2006, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
  2. Luca Grilli & Massimo Alfonso Russo & Angelo Sfrecola, 2008. "Indicatori Quali-Quantitativi per il Supporto alle Decisioni nella Valutazione delle Attività Universitarie," Quaderni DSEMS lg_maf_2008, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
  3. Luca Grilli & Angelo Sfrecola & Massimo Alfonso Russo, 2010. "Quali-Quantitative Indicators for Decision Making in University Activities Evaluation," Quaderni DSEMS lg_jas_2010, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
  4. Luca Grilli & Angelo Sfrecola & Massimo Alfonso Russo, 2010. "Financial Time Series and Neural Networks in a Minority Game Context," Quaderni DSEMS lg_maf_2009, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
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