IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/40449.html
   My bibliography  Save this paper

Strategie di prezzo e profittabilità nel mercato degli oli extra-vergine di oliva:un modello di analisi attraverso gli scanner data
[Big And Small Producers, Private Label And Gdo’S Price Strategies For Extra-Virgin Olive Oil]

Author

Listed:
  • Stasi, Antonio
  • Diotallevi, Francesco
  • Marchini, Andrea

Abstract

Given the recent changes in olive oil market and the growing importance of Distribution for commerce and for private labeling srategies, our work aims at conducting a market analysis that studies the competition within the sector and foresees the profitability of the different possible business strategies. The study refers to the industrial organization theory and estimates olive oil demand in order to calculate the price cost margins. The main findings concern low expectation about price wars. In general private labels seem to perform better then multinational strategies. Small-medium enterprises are less competitive but still able to survive in the competitive arena.

Suggested Citation

  • Stasi, Antonio & Diotallevi, Francesco & Marchini, Andrea, 2012. "Strategie di prezzo e profittabilità nel mercato degli oli extra-vergine di oliva:un modello di analisi attraverso gli scanner data [Big And Small Producers, Private Label And Gdo’S Price Strategie," MPRA Paper 40449, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:40449
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/40449/1/MPRA_paper_40449.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bernardo De Gennaro & Luigi Roselli & Umberto Medicamento, 2009. "Il commercio internazionale degli oli di oliva italiani e pugliesi: un?analisi comparata," Economia agro-alimentare, FrancoAngeli Editore, vol. 11(3), pages 79-101.
    2. Marian García Martínez & Zulema Aragonés & Nigel Poole, 2002. "A repositioning strategy for olive oil in the UK market," Agribusiness, John Wiley & Sons, Ltd., vol. 18(2), pages 163-180.
    3. Scarpa Riccardo & Del Giudice Teresa, 2004. "Market Segmentation via Mixed Logit: Extra-Virgin Olive Oil in Urban Italy," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 2(1), pages 1-20, August.
    4. Aviv Nevo, 2003. "New Products, Quality Changes, and Welfare Measures Computed from Estimated Demand Systems," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 266-275, May.
    5. Moschini, Giancarlo, 1999. "Imposing Local Curvature Conditions in Flexible Demand Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 487-490, October.
    6. Andrea Marchini & Francesco Diotallevi & Linda Fioriti, 2010. "L?analisi delle interdipendenze competitive attraverso la "Social Network Analysis": il caso studio dell?olio extravergine d?oliva," Economia agro-alimentare, FrancoAngeli Editore, vol. 12(3), pages 7-25.
    7. Samir Mili & Manuel Rodríguez Zúñiga, 2001. "Exploring future developments in international olive oil trade and marketing: A Spanish perspective," Agribusiness, John Wiley & Sons, Ltd., vol. 17(3), pages 397-415.
    8. Diotallevi, Francesco & Stasi, Antonio, 2010. "La domanda di olio extra-vergine di oliva nel Sud Italia.Quali le migliori strategie:brand leadership, private label o piccoli produttori? [The extra-virgin olive oil demand in South Italia.Whic ar," MPRA Paper 40480, University Library of Munich, Germany.
    9. Maria Luz Loureiro & Jill J. McCluskey, 2000. "Assessing consumer response to protected geographical identification labeling," Agribusiness, John Wiley & Sons, Ltd., vol. 16(3), pages 309-320.
    10. Giancarlo Moschini, 1995. "Units of Measurement and the Stone Index in Demand System Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 63-68.
    11. Anania, Giovanni & Pupo D'Andrea, Maria Rosaria, 2008. "The Global Market for Olive Oil: Actors, Trends, Policies, Prospects and Research Needs," Working Papers 6109, TRADEAG - Agricultural Trade Agreements.
    12. Ronald W. Ward & James E. Davis, 1978. "A Pooled Cross-Section Time Series Model of Coupon Promotions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(3), pages 393-401.
    13. Jon H. Hanf & Rainer Kühl, 2005. "Branding and its consequences for German agribusiness," Agribusiness, John Wiley & Sons, Ltd., vol. 21(2), pages 177-189.
    14. Richard Green & Julian M. Alston, 1990. "Elasticities in AIDS Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 442-445.
    15. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Antonio Stasi & Francesco Diotallevi & Andrea Marchini & Gianluca Nardone, 2018. "Italian Extra-Virgin Olive Oil: Impact on Demand on Being Market Leaders, Private Labels or Small Producers," Review of Economics & Finance, Better Advances Press, Canada, vol. 13, pages 39-54, August.
    2. Juan C. Gázquez-Abad & Manuel Sánchez-Pérez, 2009. "Factors influencing olive oil brand choice in Spain: an empirical analysis using scanner data," Agribusiness, John Wiley & Sons, Ltd., vol. 25(1), pages 36-55.
    3. John Curtis & Brian Stanley, 2016. "Analysing Residential Energy Demand: An Error Correction Demand System Approach for Ireland," The Economic and Social Review, Economic and Social Studies, vol. 47(2), pages 185-211.
    4. Thanagopal, Dr. Thannaletchimy & Housset, Félix, 2017. "A quality-adjusted AIDS model in the study of French imports," International Economics, Elsevier, vol. 151(C), pages 85-99.
    5. Hossain, Ferdaus & Jensen, Helen H., 2000. "Lithuania's food demand during economic transition," Agricultural Economics, Blackwell, vol. 23(1), pages 31-40, June.
    6. Siddique, Md. Abu Bakr & Salam , Md. Abdus & Rahman, Mohammad Chhiddikur, 2020. "Estimating the Demand Elasticity of Rice in Bangladesh: An Application of the Aids Model," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 10(03), January.
    7. Asche, Frank & Guttormsen, Atle G. & Kristofersson, Dadi & Roheim, Cathy A., 2005. "Import Demand Estimation and the Generalized Composite Commodity Theorem," 2005 Annual meeting, July 24-27, Providence, RI 19432, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Metin Cakir & Joseph V. Balagtas, 2010. "Econometric evidence of cross-market effects of generic dairy advertising," Agribusiness, John Wiley & Sons, Ltd., vol. 26(1), pages 83-99.
    9. William Barnett & Ousmane Seck, 2006. "Rotterdam vs Almost Ideal Models: Will the Best Demand Specification Please Stand Up?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200605, University of Kansas, Department of Economics.
    10. Hongbo Liu & Kevin A. Parton & Zhang-Yue Zhou & Rod Cox, 2009. "At-home meat consumption in China: an empirical study ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 485-501, October.
    11. Feng, Xudong & Chern, Wen S., 2000. "Demand For Healthy Food In The United States," 2000 Annual meeting, July 30-August 2, Tampa, FL 21857, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Liu, Hongbo & Parton, Kevin A. & Zhou, Zhang-Yue & Cox, Rod, 2009. "At-home meat consumption in China: an empirical study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 1-17.
    13. Md. Abu Bakr Siddique & Md. Abdus Salam & Mohammad Chhiddikur Rahman, 2020. "Estimating the Demand Elasticity of Rice in Bangladesh: An Application of the AIDS Model," Asian Journal of Agriculture and rural Development, Asian Economic and Social Society, vol. 10(3), pages 721-728, October.
    14. Jaume García & Plácido Rodríguez & Federico Todeschini, 2020. "The Demand for the Characteristics of Football Matches: A Hedonic Price Approach," Journal of Sports Economics, , vol. 21(7), pages 688-704, October.
    15. Tey, (John) Yeong-Sheng & Shamsudin, Mad Nasir & Mohamed, Zainalabidin & Abdullah, Amin Mahir & Radam, Alias, 2008. "Demand analyses of food in Malaysia: Effects of model specification and demographic variables," MPRA Paper 15063, University Library of Munich, Germany.
    16. Astrid Jonas & Jutta Roosen, 2008. "Demand for milk labels in Germany: organic milk, conventional brands, and retail labels," Agribusiness, John Wiley & Sons, Ltd., vol. 24(2), pages 192-206.
    17. Teresa Del Giudice & Carla Cavallo & Francesco Caracciolo & Gianni Cicia, 2015. "What attributes of extra virgin olive oil are really important for consumers: a meta-analysis of consumers’ stated preferences," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 3(1), pages 1-15, December.
    18. Geoffrey Pofahl, 2009. "Merger Simulation in the Presence of Large Choice Sets and Consumer Stockpiling: The Case of the Bottled Juice Industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 34(3), pages 245-266, May.
    19. Chen, Kevin Z., 1998. "The symmetric problem in the linear almost ideal demand system," Economics Letters, Elsevier, vol. 59(3), pages 309-315, June.
    20. Shibia, Mumina & Rahman, Shaikh & Chidmi, Benaissa, 2017. "Consumer Demand For Meat In Kenya: An Examination Of The Linear Approximate Almost Ideal Demand System," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252789, Southern Agricultural Economics Association.

    More about this item

    Keywords

    BRAND LEADERSHIP. PRIVATE LABEL. GDO’S PRICE STRATEGIES. EXTRAVIRGIN OLIVE OIL MARKET;

    JEL classification:

    • A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:40449. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.