Regional Climate Change Competitiveness—Modelling Approach

Karman, Agnieszka; Miszczuk, Andrzej; Bronisz, Urszula

doi:10.3390/en14123704

Cited by 10 publications

(12 citation statements)

References 18 publications

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“…Karman et al [17] focused on countries' competitiveness in climate change, developing a specialized index based on the CCPI with 89 criteria, particularly in Poland. Nathwani et al [18] used the corrected CCPI index to observe events during the COVID-19 pandemic, emphasizing the effectiveness of decarburization to reduce countries' impact on climate change.…”

Section: Puertas and Martimentioning

confidence: 99%

Evaluating European Union Countries on Climate Change Management: A Fuzzy MABAC Approach to the Climate Change Performance Index

Puška,

Hodžić,

Štilić

et al. 2024

JGELCD

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This study was undertaken to assess the implementation effectiveness of climate change management strategies across European Union (EU) member states, employing data from the annually published Climate Change Performance Index (CCPI). The index includes assessments for 36 countries in addition to the EU member states, with evaluations presented through linguistic values. To ascertain the rankings of the EU countries, a fuzzy set approach was adopted, applying the fuzzy Multi-Attributive Border Approximation area Comparison (MABAC) method. Weights were derived directly from the original CCPI report. The analysis revealed that Denmark secured the highest ranking, aligning with its position in the CCPI, albeit the ranking sequence determined through the fuzzy MABAC method diverged from the original report's order. This discrepancy is attributed to the distinct characteristics and specificities of the fuzzy set approach. Sensitivity analysis within this study highlighted that certain criteria exert a more pronounced influence on the rankings, suggesting that heightened emphasis on these specific criteria could enhance the positioning of individual EU countries. Furthermore, this research elucidates the application of fuzzy methodologies in climate change impact mitigation and provides a structured guideline for their implementation. The findings advocate for a nuanced understanding of criteria significance in climate change performance assessments, offering a comprehensive framework for evaluating and improving EU countries' climate management practices.

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Section: Puertas and Martimentioning

confidence: 99%

Evaluating European Union Countries on Climate Change Management: A Fuzzy MABAC Approach to the Climate Change Performance Index

Puška,

Hodžić,

Štilić

et al. 2024

JGELCD

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“…Agnieszka and coauthors created a model to assess climate change competitiveness at a regional level. Tis facilitated the analysis of the region's indicators concerning climate change, enabling the identifcation of vulnerabilities in climate change adaptation [39]. Puertas and Marti used cluster analysis and contingency tables based on the 2001 Climate Change Performance Index to study countries' efciency profles in combating climate change.…”

Section: Related Workmentioning

confidence: 99%

The Canonical Discriminant Model of the Environmental Security Threats

Kovalchuk,

Karpinski,

Babala

et al. 2023

Complexity

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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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“…Leitão et al [28] studied the linkage between emissions, economic growth, tourism, and renewable energy in the European Union. Bădîrcea et al [29] studied the relationship between climate change, emissions, and the blue economy, and Karman et al [30] presented a climate model to evaluate regional competitiveness.…”

Section: Introductionmentioning

confidence: 99%

A New Climate Change Analysis Parameter: A Global or a National Approach Dilemma

2022

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Climate change is an issue nowadays present in almost all of the media daily, but information can be manipulated very easily. It is a fact that, in the last decades, greenhouse gas emissions have multiplied, and to tackle climate change efficiently, it is necessary to analyze their origin and their relationship with regards to countries, population, production, etc. When analyzing a country’s emissions, not only the total emissions, but also the emissions in relation to its population, production, etc., should be considered. In this paper, a new parameter (CE2N) that merges total emissions, and emissions per capita and per GDP is proposed and applied, obtaining, for the first time, a unified and universal parameter that considers the emission efficiency and total emissions at the same time and can be used in all countries. We validated this new parameter with its implementation in previous environmental models, and the results obtained showed that CE2N would help to increase the transparency and objectivity of these models, giving more weight to emission efficiency, rather than other, more subjective criteria previously used. In addition, CE2N could be implemented in future international agreements, being beneficial not only for the scientific community, but also for policymakers.

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Regional Climate Change Competitiveness—Modelling Approach

Cited by 10 publications

References 18 publications

Evaluating European Union Countries on Climate Change Management: A Fuzzy MABAC Approach to the Climate Change Performance Index

Evaluating European Union Countries on Climate Change Management: A Fuzzy MABAC Approach to the Climate Change Performance Index

The Canonical Discriminant Model of the Environmental Security Threats

A New Climate Change Analysis Parameter: A Global or a National Approach Dilemma

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