IDEAS home Printed from https://ideas.repec.org/p/ags/iaae03/25879.html
   My bibliography  Save this paper

Efficiency Of The Italian Agri-Food Industry: An Analysis Of "Districts Effect"

Author

Listed:
  • Brasili, Cristina
  • Maccarini, Elisa Ricci

Abstract

In the course of the past decades major transformations in the Italian food industry induced considerable structural changes: on one hand, the creation of large industrial groups, with substantial input of foreign capital and, on the other, the concentration and geographic specialisation of numerous small and medium enterprises, with the formation of specific and typical agri-food local system (districts). To take account of the presence of food districts the analysis of the Italian food industry could not be conducted at national and regional level but it has to be studied at province and local level. It is also useful to analyse the food industry with reference to the different sub-sectors. We will conduct an in-depth analysis of the local systems (districts) of two sectors meat and fruit & vegetables processing. We will use balance-sheet data of the processing firms that were active in the meat (446 firms) and fruit & vegetables (227 firms) sub-sector in the years from 1996 to 1999. The analysis will consider the most significant balance sheet ratios, such as returns, productivity and labour cost in these local systmems. Then, we will consider the economic assessment of the firms belonging to local systems of the two sectors and compare with the non district firms. For the efficiency analysis will estimate a stochastic frontier production function in order to determine the "district effect". This analysis will also be directly correlated with investment in technological innovation. The economic and efficiency analysis confirms for many aspects the presence of a "district effect" in the Italian food industry.

Suggested Citation

  • Brasili, Cristina & Maccarini, Elisa Ricci, 2003. "Efficiency Of The Italian Agri-Food Industry: An Analysis Of "Districts Effect"," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25879, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae03:25879
    DOI: 10.22004/ag.econ.25879
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/25879/files/cp03br05.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.25879?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    2. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Simboli, Alberto & Taddeo, Raffaella & Morgante, Anna, 2015. "The potential of Industrial Ecology in agri-food clusters (AFCs): A case study based on valorisation of auxiliary materials," Ecological Economics, Elsevier, vol. 111(C), pages 65-75.
    2. Rafael Boix & Joan Trullén, 2009. "Industrial Districts, Innovation and I-district Effect: Territory or Industrial Specialization?," European Planning Studies, Taylor & Francis Journals, vol. 18(10), pages 1707-1729, February.

    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. Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2004. "Technical efficiency effects of input controls: evidence from Australia's banana prawn fishery," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1631-1641.
    2. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    3. Holtkamp, A.M. & Brummer, B., 2018. "Environmental efficiency of smallholder rubber production," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277518, International Association of Agricultural Economists.
    4. Zuniga Gonzalez, Carlos Alberto, 2009. "Technical efficiency of organic fertilizer in small farms of Nicaragua: 1998-2005," MPRA Paper 49352, University Library of Munich, Germany, revised 24 Sep 2010.
    5. Ceyhun Elgin & Selman Çakır, 2015. "Technological progress and scientific indicators: a panel data analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(3), pages 263-281, April.
    6. Victor Moutinho & Mara Madaleno, 2021. "Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis," Energies, MDPI, vol. 14(4), pages 1-17, February.
    7. Abiodun Adegboye & Olawale Daniel Akinyele, 2022. "Assessing the determinants of government spending efficiency in Africa," Future Business Journal, Springer, vol. 8(1), pages 1-17, December.
    8. Chen, Minghua & Wu, Ji & Jeon, Bang Nam & Wang, Rui, 2017. "Do foreign banks take more risk? Evidence from emerging economies," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 20-39.
    9. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    10. Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Cesar de Castro Miranda, 2014. "Do Interconnections Matter for Bank Efficiency?," Working Papers Series 374, Central Bank of Brazil, Research Department.
    11. Mark A. Andor & David H. Bernstein & Stephan Sommer, 2021. "Determining the efficiency of residential electricity consumption," Empirical Economics, Springer, vol. 60(6), pages 2897-2923, June.
    12. Alfonso Flores-Lagunes & William C. Horrace & Kurt E. Schnier, 2007. "Identifying technically efficient fishing vessels: a non-empty, minimal subset approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 729-745.
    13. Edward Ebo ONUMAH & Bernhard BRÜMMER & Gabriele HÖRSTGEN-SCHWARK, 2010. "Productivity of the hired and family labour and determinants of technical inefficiency in Ghana's fish farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(2), pages 79-88.
    14. Goyal, S.K. & Suhag, K.S. & Pandey, U.K., 2006. "An Estimation of Technical Efficiency of Paddy Farmers in Haryana State of India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 61(1), pages 1-15.
    15. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Department of Economics - Working Papers Series 1092, The University of Melbourne.
    16. Albalate, Daniel & Rosell, Jordi, 2019. "On the efficiency of toll motorway companies in Spain," Research in Transportation Economics, Elsevier, vol. 76(C).
    17. Puig-Junoy, Jaume & Argiles, Josep M., 2004. "The influence of management accounting use on farm inefficiency," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 5(2), pages 1-20, August.
    18. Tom Kompas, 2001. "Catch, Efficiency and Management: A Stochastic Production Frontier Analysis of the Australian Northern Prawn Fishery," International and Development Economics Working Papers idec01-8, International and Development Economics.
    19. Chen, Minghua & Wu, Ji & Jeon, Bang Nam & Wang, Rui, 2017. "Monetary policy and bank risk-taking: Evidence from emerging economies," Emerging Markets Review, Elsevier, vol. 31(C), pages 116-140.
    20. Ligia Alba Melo-Becerra & Jorge Enrique Ramos-Forero & Pedro Oswaldo Hernández-Santamaría, 2017. "La educación superior en Colombia: situación actual y análisis de eficiencia," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 78, February.

    More about this item

    Keywords

    Agribusiness; Industrial Organization;

    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:ags:iaae03:25879. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.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.