The Canonical Discriminant Model of the Environmental Security Threats

The existence of modern humanity directly depends on environmental security. Human society, biodiversity, ecosystems, and climate safety are interdependent. The anthropogenic influence that causes irreversible climate change threatens both the ecosystem’s existence and humans’ survival. To maintain...

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Main Authors: Olha Kovalchuk, Mikolaj Karpinski, Ludmila Babala, Mykhailo Kasianchuk, Ruslan Shevchuk
Format: Article
Language:English
Published: Hindawi-Wiley 2023-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2023/5584750
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author Olha Kovalchuk
Mikolaj Karpinski
Ludmila Babala
Mykhailo Kasianchuk
Ruslan Shevchuk
author_facet Olha Kovalchuk
Mikolaj Karpinski
Ludmila Babala
Mykhailo Kasianchuk
Ruslan Shevchuk
author_sort Olha Kovalchuk
collection DOAJ
description The existence of modern humanity directly depends on environmental security. Human society, biodiversity, ecosystems, and climate safety are interdependent. The anthropogenic influence that causes irreversible climate change threatens both the ecosystem’s existence and humans’ survival. To maintain a balance between human well-being and a safe environment, it is important to have a diverse knowledge of the interrelations between the technological impact on the natural environment and climate change and an understanding of action strategies to mitigate climate change and ensure sustainable development. Applying a scientific approach, data analytics, and data science tools can effectively support climate change mitigation and prevent a climate disaster. Based on the components of the climate change performance index (CCPI) 2023 for 59 countries and the EU, a canonical discriminant model was built to identify the significant factors that influence the assessment of the effectiveness of climate protection in a particular country or region and the assessment of climate risks. It can be used to assess the level of climate protection effectiveness of countries that have not defined the CCPI 2023. Based on empirical data, we have determined the real weights of the relevant CCPI components in relation to the effectiveness of actions aimed at reducing global warming. We have established that there are additional factors important for assessing climate protection, but the CCPI rating does not consider them. We conducted a comparative analysis of the CCPI index and the sustainable development goals (SDG) index. The study establishes that the differences in environmental protection among the world’s countries do not determine the assessment of the level of sustainable development of the world’s countries. The obtained results can provide information to support decision-making in developing effective strategies and urgent actions to ensure climate protection.
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spelling doaj.art-8dcbdc2bd40e44caaf3e41636d3295522023-11-15T00:00:03ZengHindawi-WileyComplexity1099-05262023-01-01202310.1155/2023/5584750The Canonical Discriminant Model of the Environmental Security ThreatsOlha Kovalchuk0Mikolaj Karpinski1Ludmila Babala2Mykhailo Kasianchuk3Ruslan Shevchuk4Department of Applied MathematicsDepartment of Cyber SecurityDepartment of Economic Cybernetics and InformaticsDepartment of Cyber SecurityDepartment of Computer ScienceThe existence of modern humanity directly depends on environmental security. Human society, biodiversity, ecosystems, and climate safety are interdependent. The anthropogenic influence that causes irreversible climate change threatens both the ecosystem’s existence and humans’ survival. To maintain a balance between human well-being and a safe environment, it is important to have a diverse knowledge of the interrelations between the technological impact on the natural environment and climate change and an understanding of action strategies to mitigate climate change and ensure sustainable development. Applying a scientific approach, data analytics, and data science tools can effectively support climate change mitigation and prevent a climate disaster. Based on the components of the climate change performance index (CCPI) 2023 for 59 countries and the EU, a canonical discriminant model was built to identify the significant factors that influence the assessment of the effectiveness of climate protection in a particular country or region and the assessment of climate risks. It can be used to assess the level of climate protection effectiveness of countries that have not defined the CCPI 2023. Based on empirical data, we have determined the real weights of the relevant CCPI components in relation to the effectiveness of actions aimed at reducing global warming. We have established that there are additional factors important for assessing climate protection, but the CCPI rating does not consider them. We conducted a comparative analysis of the CCPI index and the sustainable development goals (SDG) index. The study establishes that the differences in environmental protection among the world’s countries do not determine the assessment of the level of sustainable development of the world’s countries. The obtained results can provide information to support decision-making in developing effective strategies and urgent actions to ensure climate protection.http://dx.doi.org/10.1155/2023/5584750
spellingShingle Olha Kovalchuk
Mikolaj Karpinski
Ludmila Babala
Mykhailo Kasianchuk
Ruslan Shevchuk
The Canonical Discriminant Model of the Environmental Security Threats
Complexity
title The Canonical Discriminant Model of the Environmental Security Threats
title_full The Canonical Discriminant Model of the Environmental Security Threats
title_fullStr The Canonical Discriminant Model of the Environmental Security Threats
title_full_unstemmed The Canonical Discriminant Model of the Environmental Security Threats
title_short The Canonical Discriminant Model of the Environmental Security Threats
title_sort canonical discriminant model of the environmental security threats
url http://dx.doi.org/10.1155/2023/5584750
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