IDEAS home Printed from https://ideas.repec.org/a/bcy/issued/cognitivesustainabilityv1y2022i4p10-18.html
   My bibliography  Save this article

Hungarian agricultural pathways revealing climate-related challenges

Author

Listed:
  • Kinga Biro

    (Budapest University of Technology and Economics, Budapest, Hungary)

  • Otto Toldi

Abstract

The agricultural sector is highly exposed to the expected impacts of climate change, such as more frequent extreme weather events, prolonged and intensified heat waves, and water shortages, which present new challenges to farmers. Innovation is becoming increasingly important in European and Hungarian agricultural policy, and it plays a key role in the decarbonization of the sector. Innovative technologies improve the three dimensions of sustainability, and contribute to food security and increase the profitability of agricultural production. The research aims to analyze the greenhouse gas emission trends and forecast future emissions from the agriculture sector in Hungary and give a brief overview of the emission scenarios reported in the National Clean Development Strategy. Descriptive statistics are used to analyze emissions data. Chebyshev’s inequality is used to predict future EU and domestic GHG emissions. Agriculture is one of the most conservative sectors from a climate perspective and it is already visible that the conventional approach will not be enough, but it has effective tools to achieve climate neutrality by 2050.

Suggested Citation

  • Kinga Biro & Otto Toldi, 2022. "Hungarian agricultural pathways revealing climate-related challenges," Cognitive Sustainability, Cognitive Sustainability Ltd., vol. 1(4), pages 10-18, December.
  • Handle: RePEc:bcy:issued:cognitivesustainability:v:1:y:2022:i:4:p:10-18
    DOI: 10.55343/CogSust.28
    as

    Download full text from publisher

    File URL: https://www.cogsust.com/index.php/real/article/view/28
    Download Restriction: -

    File URL: https://libkey.io/10.55343/CogSust.28?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

    Agricultural pathways; Climate change; Innovation Scenarios; Greenhouse gas emission trends;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

    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:bcy:issued:cognitivesustainability:v:1:y:2022:i:4:p:10-18. 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: Maria SZALMANE CSETE (email available below). General contact details of provider: http://www.CogSust.com .

    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.