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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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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