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Economic Growth and Agricultural Sector Dynamics in the Visegrad Group: A Panel Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F24%3AA0000483" target="_blank" >RIV/47813059:19520/24:A0000483 - isvavai.cz</a>

  • Result on the web

    <a href="https://mme2024.ujep.cz/" target="_blank" >https://mme2024.ujep.cz/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Economic Growth and Agricultural Sector Dynamics in the Visegrad Group: A Panel Analysis

  • Original language description

    This empirical investigation analyzes the interplay between employment in the agricultural sector, food production index, and economic growth within the Visegrad Group. Utilizing panel analysis, the study investigates annual time series data spanning from 2005 to 2023. Employing panel data analysis and the Autoregressive Distributed Lag (ARDL) model, the study aims to clarify the research objectives. Findings reveal that, in the short and long terms, the food production index significantly impacts economic growth. Specifically, an increase in the food production index correlates with boosted economic growth. Conversely, a decline in the agricultural sector labor force tends to spur economic growth. The agricultural sector continues to be a vital pillar of economic growth in the Visegrad Group. Understanding the dynamics, challenges, and opportunities within this sector is essential for policymakers, stakeholders, and investors to formulate strategies that promote sustainable development across the countries.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 42nd International Conference on Mathematical Methods in Economics

  • ISBN

    9788075614827

  • ISSN

    2788-3965

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    189-194

  • Publisher name

    The Czech Society for Operations Research

  • Place of publication

    Praha

  • Event location

    Jan Evangelista Purkyně University Ústí nad Labe

  • Event date

    Sep 11, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article