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Innovation in Agriculture: Driving Economic Development through EU Knowledge-Based Economy

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F25%3A103345" target="_blank" >RIV/60460709:41110/25:103345 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.7160/aol.2025.170210" target="_blank" >https://doi.org/10.7160/aol.2025.170210</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7160/aol.2025.170210" target="_blank" >10.7160/aol.2025.170210</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Innovation in Agriculture: Driving Economic Development through EU Knowledge-Based Economy

  • Original language description

    Innovation in agriculture is vital for enhancing sustainability, productivity, and economic development, especially in light of global challenges such as population growth, resource scarcity, and climate change. This study, adopting a quantitative cross-sectional approach, investigates the relationship between agricultural innovation and productivity within the EU. By employing multiple regression analysis with a log-log transformation, the study explores how R&D expenditure in agriculture and various control variables impact agricultural productivity across EU-27 countries from 2000 to 2019. To address potential endogeneity concerns, the Instrumental Variables (IV) approach was applied, using the Two-Stage Least Squares (2SLS) method, which reduced bias in the estimation. The results revealed that a 1 % increase in R&D spending in agriculture corresponds to an approximate 0.33% increase in total crop output, indicating a strong positive link between innovation and agricultural productivity. The model residuals confirm a satisfactory fit, highlighting the robustness of the findings. This study provides valuable insights into how agricultural innovation can drive productivity, offering important implications for policymakers and researchers aiming to optimise agricultural output through increased investment in innovation.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    AGRIS on-line Papers in Economics and Informatics

  • ISSN

    1804-1930

  • e-ISSN

    1804-1930

  • Volume of the periodical

    17

  • Issue of the periodical within the volume

    JUN 2025

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    14

  • Pages from-to

    135-148

  • UT code for WoS article

    001533993900010

  • EID of the result in the Scopus database

    2-s2.0-105011189231