Version 1
: Received: 26 April 2024 / Approved: 26 April 2024 / Online: 26 April 2024 (14:56:39 CEST)
How to cite:
Grujić Vučkovski, B.; Marina, I.; Ćurčić, N.V. Principal Component Analysis of Selected Indicators of Wheat in European Countries. Preprints2024, 2024041748. https://doi.org/10.20944/preprints202404.1748.v1
Grujić Vučkovski, B.; Marina, I.; Ćurčić, N.V. Principal Component Analysis of Selected Indicators of Wheat in European Countries. Preprints 2024, 2024041748. https://doi.org/10.20944/preprints202404.1748.v1
Grujić Vučkovski, B.; Marina, I.; Ćurčić, N.V. Principal Component Analysis of Selected Indicators of Wheat in European Countries. Preprints2024, 2024041748. https://doi.org/10.20944/preprints202404.1748.v1
APA Style
Grujić Vučkovski, B., Marina, I., & Ćurčić, N.V. (2024). Principal Component Analysis of Selected Indicators of Wheat in European Countries. Preprints. https://doi.org/10.20944/preprints202404.1748.v1
Chicago/Turabian Style
Grujić Vučkovski, B., Irina Marina and Nikola V. Ćurčić. 2024 "Principal Component Analysis of Selected Indicators of Wheat in European Countries" Preprints. https://doi.org/10.20944/preprints202404.1748.v1
Abstract
For this research we are selected three indicators of wheat: yield (t/ha), producer price (USD/t) and share of the harvested area under wheat in relation to the total land area of country (%). The mentioned indicators were analyzed for the period 2006-2021 in thirty-two European countries. The purpose of the research is to determine which of the mentioned indicators achieve average annual growth/decrease rates, what is the correlation between them, how European countries are grouped with their similarities and differences. The research examines the impact of the COVID-19 pandemic on the mentioned indicators in a two time phases: Phase I, before the pandemic (2006-2019); Phase II, during the pandemic (2020-2021). The methodological approach to the research topic involved the application of descriptive statistics, as the method of principal components analysis (abbr. PCA) with graphics. A positive correlation exists only between the yield of wheat and the share of the harvested area under wheat in the total area of the land (0.291). PCA method showed that countries are grouped differently depending on the observed indicator and the analyzed time phase.
Keywords
yield of wheat; producer prices of wheat; harvested area under wheat; loading plot; biplot; PCA method; COVID-19
Subject
Business, Economics and Management, Economics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
