IDEAS home Printed from https://ideas.repec.org/a/ags/paaero/329479.html
   My bibliography  Save this article

Mesoeconomic Market Analysis Based On Selected Big Data Tools – The Case Of Wood Market Trends In Poland Under Economic Uncertainty

Author

Listed:
  • KLUS, SYLWIA
  • TOPCZEWSKA, ANNA
  • URBANOWICZ, ZUZANNA
  • WANAT, LESZEK

Abstract

The paper discusses selected trend changes in the Polish wood-based products market under conditions of economic uncertainty. From a mesoeconomic approach, using Big Data resources and online e-commerce tools, the wood market was analyzed from the perspective of demand and online user activity. In terms of time scope, the research covered the period 2019-2021, including the pandemic year. Secondary data based on Google Ads and Google Analytics were analyzed. The study used selected open-source analytical tools, including Google Keyword Planner and Data Studio. The controversial hypothesis, which assumes that potential demand for wood and wood-based products shows a sustainable trend even under economic uncertainty, was verified. The findings were visualized and discussed. Finally, the rationale for confirming the assumed hypothesis was not obtained. However, the results of the research proved to be interesting, out of the box. It turned out that the popularity and multifaceted use of wood is not limited by typical boundaries. The consequence of the market situation is a growing demand for wood, but at the same time a supply deficit. This is a challenge for the wood market benchmarking and formulating practical recommendations for economic policy in the wood-based sector in Poland.

Suggested Citation

  • Klus, Sylwia & Topczewska, Anna & Urbanowicz, Zuzanna & Wanat, Leszek, 2022. "Mesoeconomic Market Analysis Based On Selected Big Data Tools – The Case Of Wood Market Trends In Poland Under Economic Uncertainty," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2022(3).
  • Handle: RePEc:ags:paaero:329479
    DOI: 10.22004/ag.econ.329479
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/329479/files/KLUS-18.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.329479?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
    ---><---

    More about this item

    Keywords

    Agribusiness; Production Economics;

    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:paaero:329479. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/seriaea.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.