IDEAS home Printed from https://ideas.repec.org/a/fan/ecaqec/vhtml10.3280-ecag2021oa12770.html
   My bibliography  Save this article

Use and users of FADN data in Italy

Author

Listed:
  • Sonia Marongiu
  • Barbara Bimbati
  • Mauro Santamgelo

Abstract

The Farm Accountancy Data Network (FADN) is a sample survey that annually gathers information from more than 80,000 European farms. Its main aim is to provide data to the EU Commission used in the assessment of farm profitability and in the evaluation of Common Agricultural Policy (CAP) impacts.FADN results are also used and published nationally in almost all the Member States. The Italian fadn (named RICA - Rete Italiana di Contabilità Agricola) provides data for stakeholders and researchers, serving as an important source of information for specific analysis and meeting a wide range of policy needs.Data are stored in an online database, available for institutional users under an agreement or a formal accession request. For non-institutional users, a public Datawarehouse supplies/provides selected information already aggregated by farm type, economic size, and region. Like other surveys, FADN can be considered as a public good, whose general benefit and utility depends also on its impact on users. One way to evaluate these benefits is the identification of users, the data used and their level of satisfaction. This monitoring activity is not performed in the Italian FADN: users and usage are not always tracked and the information about their satisfaction is lacking. The paper investigates this aspect (which has been called ?inherent data dissemination? for the first time, focusing on the extent and ways in which fadn is made available: the most important area of analysis covered by the data. Two instruments are examined: the FADN database online (BDR) and the request forms submitted to CREA to ask for customized tables based on a set of selected variables. The first tool has been analyzed by submitting a questionnaire to the list of users, while for the request forms, all the submissions processed during the period 2011-2020 have been examined.

Suggested Citation

  • Sonia Marongiu & Barbara Bimbati & Mauro Santamgelo, 2021. "Use and users of FADN data in Italy," Economia agro-alimentare, FrancoAngeli Editore, vol. 23(3), pages 1-21.
  • Handle: RePEc:fan:ecaqec:v:html10.3280/ecag2021oa12770
    as

    Download full text from publisher

    File URL: http://www.francoangeli.it/riviste/Scheda_Rivista.aspx?IDArticolo=70137&Tipo=ArticoloPDF
    Download Restriction: Single articles can be downloaded buying download credits, for info: https://www.francoangeli.it/DownloadCredit
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Luca Turchetti & Nadia Gastaldin & Sonia Marongiu, 2021. "Enhancing the Italian FADN for sustainability assessment: The state of art and perspectives," Economia agro-alimentare, FrancoAngeli Editore, vol. 23(3), pages 1-21.
    2. Turchetti, Luca & Gastaldin, Nadia & Marongiu , Sonia, 2021. "Enhancing the Italian FADN for sustainability assessment: The state of art and perspectives," Economia agro-alimentare / Food Economy, Italian Society of Agri-food Economics/Società Italiana di Economia Agro-Alimentare (SIEA), vol. 23(3), December.
    3. Vrolijk, Hans & Poppe, Krijn & Keszthelyi, Szilárd, 2016. "Collecting sustainability data in different organisational settings of the European Farm Accountancy Data Network," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 118(3), pages 1-7, December.
    4. Abbott, Philip & Boussios, David & Lowenberg DeBoer, Jess, 2016. "Valuing Public Information in Agricultural Commodity Markets: WASDE Corn Reports," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 234902, Agricultural and Applied Economics Association.
    5. Garcia, Philip & Irwin, Scott H. & Leuthold, Raymond M. & Yang, Li, 1997. "The value of public information in commodity futures markets," Journal of Economic Behavior & Organization, Elsevier, vol. 32(4), pages 559-570, April.
    6. Hill, Berkeley & Bradley, Dylan, 2016. "Comparative analysis of the FADN Data Collection Systems in EU-28," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236324, Agricultural Economics Society.
    7. World Bank, 2010. "Global Strategy to Improve Agricultural and Rural Statistics," World Bank Publications - Reports 12402, The World Bank Group.
    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. Karali, Berna & Isengildina-Massa, Olga & Irwin, Scott H. & Adjemian, Michael K. & Johansson, Robert, 2019. "Are USDA reports still news to changing crop markets?," Food Policy, Elsevier, vol. 84(C), pages 66-76.
    2. Pierrick Piette, 2019. "Can Satellite Data Forecast Valuable Information from USDA Reports ? Evidences on Corn Yield Estimates," Working Papers hal-02149355, HAL.
    3. Irina Pilvere & Aleksejs Nipers & Aija Pilvere, 2022. "Evaluation of the European Green Deal Policy in the Context of Agricultural Support Payments in Latvia," Agriculture, MDPI, vol. 12(12), pages 1-22, November.
    4. Prilly Oktoviany & Robert Knobloch & Ralf Korn, 2021. "A machine learning-based price state prediction model for agricultural commodities using external factors," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1063-1085, December.
    5. Adjemian, Michael K. & Johansson, Robert & McKenzie, Andrew & Thomsen, Michael, 2016. "The Value of Government Information in an Era of Declining Budgets," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235811, Agricultural and Applied Economics Association.
    6. Isengildina-Massa, Olga & Cao, Xiang & Karali, Berna & Irwin, Scott H. & Adjemian, Michael & Johansson, Robert C., 2021. "When does USDA information have the most impact on crop and livestock markets?," Journal of Commodity Markets, Elsevier, vol. 22(C).
    7. Kishore Joseph & Philip Garcia, 2018. "Intraday market effects in electronic soybean futures market during non-trading and trading hour announcements," Applied Economics, Taylor & Francis Journals, vol. 50(11), pages 1188-1202, March.
    8. Ying, Jiahui & Shonkwiler, J. Scott, 2017. "A Temporal Impact Assessment Method for the Informational Content of USDA Reports in Corn and Soybean Futures Markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258201, Agricultural and Applied Economics Association.
    9. Peterson, Hikaru Hanawa & Tomek, William G., 2000. "Commodity Price Behavior: A Rational Expectations Storage Model of Corn," Working Papers 127682, Cornell University, Department of Applied Economics and Management.
    10. Olga Isengildina-Massa & Berna Karali & Scott H Irwin, 2017. "Do Markets Correct for Smoothing in USDA Crop Production Forecasts? Evidence from Private Analysts and Futures Prices," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(4), pages 559-583.
    11. Bellassen Valentin & Drut Marion & Antonioli Federico & Brečić Ružica & Donati Michele & Ferrer-Pérez Hugo & Gauvrit Lisa & Hoang Viet & Knutsen Steinnes Kamilla & Lilavanichakul Apichaya & Majewski E, 2021. "The Carbon and Land Footprint of Certified Food Products," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 19(2), pages 113-126, December.
    12. Isengildina-Massa, Olga & Irwin, Scott H. & Good, Darrel L. & Gomez, Jennifer K., 2008. "The Impact of Situation and Outlook Information in Corn and Soybean Futures Markets: Evidence from WASDE Reports," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(1), pages 89-103, April.
    13. Guo, Jian-Feng & Ji, Qiang, 2013. "How does market concern derived from the Internet affect oil prices?," Applied Energy, Elsevier, vol. 112(C), pages 1536-1543.
    14. Fermont, Anneke & Benson, Todd, 2011. "Estimating yield of food crops grown by smallholder farmers: A review in the Uganda context," IFPRI discussion papers 1097, International Food Policy Research Institute (IFPRI).
    15. Ji, Qiang & Guo, Jian-Feng, 2015. "Market interdependence among commodity prices based on information transmission on the Internet," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 426(C), pages 35-44.
    16. Etienne, Xiaoli L. & Farhangdoost, Sara & Hoffman, Linwood A. & Adam, Brian D., 2023. "Forecasting the U.S. season-average farm price of corn: Derivation of an alternative futures-based forecasting model," Journal of Commodity Markets, Elsevier, vol. 30(C).
    17. Claudio Liberati & Concetta Cardillo & Antonella Di Fonzo, 2021. "Sustainability and competitiveness in farms: An evidence of Lazio region agriculture through FADN data analysis," Economia agro-alimentare, FrancoAngeli Editore, vol. 23(3), pages 1-22.
    18. Stępień, Sebastian & Smędzik-Ambroży, Katarzyna & Guth, Marta, 2017. "The impact of the Common Agricultural Policy on the economic and social sustainability of farms on the example of Poland," International Journal of Agricultural Sciences and Technology (IJAGST), SvedbergOpen, vol. 177(4), December.
    19. Michael K Adjemian & Robert Johansson & Andrew McKenzie & Michael Thomsen, 2018. "Was the Missing 2013 WASDE Missed?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 40(4), pages 653-671, December.
    20. Egelkraut, Thorsten M. & Garcia, Philip & Irwin, Scott H. & Good, Darrel L., 2002. "An Evaluation Of Crop Forecast Accuracy For Corn And Soybeans: Usda And Private Information Services," 2002 Conference, April 22-23, 2002, St. Louis, Missouri 19068, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

    More about this item

    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:fan:ecaqec:v:html10.3280/ecag2021oa12770. 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: Stefania Rosato (email available below). General contact details of provider: http://www.francoangeli.it/riviste/sommario.aspx?IDRivista=214 .

    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.