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Methodological Proposals For A Qualitative Evaluation Of Italian Durum Wheat Varieties

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  • Luca GRILLI
  • Massimo Alfonso RUSSO
  • Roberto GISMONDI

Abstract

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.

Suggested Citation

  • Luca GRILLI & Massimo Alfonso RUSSO & Roberto GISMONDI, 2012. "Methodological Proposals For A Qualitative Evaluation Of Italian Durum Wheat Varieties," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 7(2(20)/ Su), pages 103-122.
    • Handle: RePEc:ush:jaessh:v:7:y:2012:i:2(20)_summer2012:p:103
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    References listed on IDEAS

    as
    1. Marco Corazza & Florence Legros & Cira Perna & Marilena Sibillo, 2017. "Mathematical and Statistical Methods for Actuarial Sciences and Finance," Post-Print hal-01776135, HAL.
    2. 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.
    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.
    5. Cira Perna & Marilena Sibillo (ed.), 2008. "Mathematical and Statistical Methods in Insurance and Finance," Springer Books, Springer, number 978-88-470-0704-8, June.
    6. 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.
    7. Luca Grilli & Massimo Alfonso Russo, 2008. "Decision Making in Financial Markets Through Multivariate Ordering Procedure," Springer Books, in: Cira Perna & Marilena Sibillo (ed.), Mathematical and Statistical Methods in Insurance and Finance, pages 139-147, Springer.
    8. Sergio Zani & Marco Riani & Aldo Corbellini, 1999. "New methods for ordering multivariate data: an application to the performance of investment funds," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 15(4), pages 485-493, October.
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    More about this item

    Keywords

    agricultural incentives; asymmetry; durum wheat quality; normalisation; statistical index;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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