Canonical Correlation Analysis in Information Systems for Assessing Economic Growth and Environmental Security Relationships

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dc.contributor.authorHryhoruk, Pavlo
dc.contributor.authorKhrushch, Nila
dc.contributor.authorGrygoruk, Svitlana
dc.contributor.authorRamskyi, Andrii
dc.contributor.authorГригорук, Павло
dc.contributor.authorГригорук, Світлана
dc.contributor.authorХрущ, Ніла
dc.contributor.authorРамський, Андрій
dc.date.accessioned2026-03-09T08:00:43Z
dc.date.available2026-03-09T08:00:43Z
dc.date.issued2025
dc.description.abstractThe study presents a comprehensive exploration of canonical correlation analysis applied within advanced information systems for assessing complex interrelations between economic growth indicators and environmental security factors. Leveraging robust computational methodologies and integrated information systems, this research utilizes canonical correlation analysis to quantitatively evaluate relationships between two sets of multidimensional variables: indicators representing economic well being—including GDP per capita, gross fixed capital formation, value-added industrial production, and household expenditures—and variables reflecting environmental threats such as carbon dioxide and greenhouse gas emissions, and natural resource depletion. Data sourced from the World Bank for 136 countries for the year 2020 served as the empirical foundation of the study. The employed computational information system facilitated advanced preprocessing and normalization procedures, essential for ensuring analytical accuracy given substantial variability across datasets. Statistical computations were executed within a structured digital environment, leveraging computational efficiency to identify canonical variables demonstrating maximal correlation. Results indicated a significant canonical correlation coefficient (r = 0.9762), underscoring the robustness of the identified relationships. Further analytical interpretation using Pearson’s pairwise correlation confirmed the validity and significance of these variables within constructed canonical sets. The presented findings reaffirm previous scholarly insights into economic-environmental interdependencies and reinforce the pivotal role of computational analysis supported by sophisticated information systems in elucidating complex socio-economic phenomena. This methodological approach proves indispensable for strategic policy formulation aimed at balancing economic advancement and environmental sustainability, contributing to the broader discourse on achieving sustainable development goals through innovative computational and analytical techniques
dc.identifier.citationHryhoruk P., Khrushch N., Grygoruk S., Ramskyi A. Canonical Correlation Analysis in Information Systems for Assessing Economic Growth and Environmental Security Relationships. CEUR-WS. 2025. Vol. 4029. Pp. 51-50. URL: https://ceur-ws.org/Vol-4029/paper4.pdf
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/20801
dc.language.isoen
dc.publisherCEUR-WS
dc.subjectcanonical correlation analysis
dc.subjectinformation systems
dc.subjectcomputational analytics
dc.subjecteconomic growth indicators
dc.subjectenvironmental security
dc.subjectdata normalization
dc.subjectsustainable development
dc.titleCanonical Correlation Analysis in Information Systems for Assessing Economic Growth and Environmental Security Relationships
dc.typeСтаття
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Кафедра економіки, аналітики, моделювання та інформаційних технологій в бізнесі