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Valutazioni economiche dei processi estrattivi e di valorizzazione dei reflui oleari
[Economic assessments of mining processes and utilization of the waste mills]


  • Marchini, Andrea
  • Servili, Maurizio
  • Diotallevi, Francesco


The technological innovations of the project VALOROLIO act as an integrated package of interventions at the system load of extra virgin olive oil extraction and treatment processes of all products with a view to their economic value. The pitting of the olives allows a substantial modification of the extraction process with the production of new products, almond and peanut, as well as the modification of the quali-quantitative traditional products (virgin olive residues pitted, vegetation waters rich in polyphenols) which guarantee pet food uses and pharmaceutical. The economic unit in the course of the project assessed the economic effects of innovation on the entire supply chain by identifying the critical points is that the business opportunities. Here, the limited space available, will be presented the microeconomic analysis documenting the opportunities offered by technological innovation.

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  • Marchini, Andrea & Servili, Maurizio & Diotallevi, Francesco, 2009. "Valutazioni economiche dei processi estrattivi e di valorizzazione dei reflui oleari
    [Economic assessments of mining processes and utilization of the waste mills]
    ," MPRA Paper 40639, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:40639

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    References listed on IDEAS

    1. Deaton, Angus, 1988. "Quality, Quantity, and Spatial Variation of Price," American Economic Review, American Economic Association, vol. 78(3), pages 418-430, June.
    2. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    3. Deaton, Angus, 1986. "Demand analysis," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 30, pages 1767-1839 Elsevier.
    4. Lawrence E. Haller & Ronald W. Cotterill, 1996. "Evaluating Traditional Share-Price and Residual Demand Measures of Market Power in the Catsup Industry," Food Marketing Policy Center Research Reports 031, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    5. Chavas, Jean-Paul & Segerson, Kathleen, 1987. "Stochastic specification and estimation of share equation systems," Journal of Econometrics, Elsevier, vol. 35(2-3), pages 337-358, July.
    6. Baker, Jonathan B & Baresnahan, Timothy F, 1985. "The Gains from Merger or Collusion in Product-differentiated Industries," Journal of Industrial Economics, Wiley Blackwell, vol. 33(4), pages 427-444, June.
    7. Judith A. Chevalier & Anil K. Kashyap & Peter E. Rossi, 2003. "Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data," American Economic Review, American Economic Association, vol. 93(1), pages 15-37, March.
    8. Abadia, Antonio, 1985. "Income distribution and composition of consumer demand in the Spanish economy," European Economic Review, Elsevier, vol. 29(1), pages 1-13.
    9. Siskos, Y. & Matsatsinis, N. F. & Baourakis, G., 2001. "Multicriteria analysis in agricultural marketing: The case of French olive oil market," European Journal of Operational Research, Elsevier, vol. 130(2), pages 315-331, April.
    10. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    More about this item


    denocciolatura acque di vegetazione reflui oleari;

    JEL classification:

    • L0 - Industrial Organization - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General


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