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2024 | OriginalPaper | Chapter

3. Climate Change Competitiveness of EU Regions—Current Status

Authors : Agnieszka Karman, Urszula Bronisz, Jarosław Banaś, Andrzej Miszczuk

Published in: Regional Competitiveness Towards Climate Change

Publisher: Springer Nature Switzerland

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Abstract

This chapter aims to assess the competitiveness of EU regions under climate change. Firstly, it presents the methodological basis for building the Regional Climate Change Competitiveness Index (RCCCI) and the results for selected EU regions from Portugal, Italy, the Netherlands, Ireland, Finland, Estonia, Poland, Slovakia, Bulgaria and Hungary. Next the results for five climatic zones (north, north-central, south-central, northwest and Mediterranean) are described. Finally, the chapter details the results of the robustness analysis of the regional climate change competitiveness index.

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previous chapter Climate Change Competitiveness

next chapter Conceptual and Methodological Specifications

CCLM variables include: 1) change in annual mean temperature, 2) change in annual mean number of frost days (min temp < 0 °C), 3) change in annual mean number of summer days (max temp > 25 °C), 4) relative change in annual mean precipitation in winter months (December to February), 5) relative change in annual mean precipitation in summer months (June to August), 6) change in annual mean number of days with heavy rainfall (above 20 kg/sqm), 7) relative change in annual mean evaporation and 8) change in annual mean number of days with snow cover.

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Classification method: Quantile; Number of classes: 5.

[Tool: https://gisco-services.ec.europa.eu/image/screen/home].

Classification method: Quantile; Number of classes: 5. [Tool: https://gisco-services.ec.europa.eu/image/screen/home].

Classification method: Jenks Natural Breaks; Number of classes: 2. [Tool: https://gisco-services.ec.europa.eu/image/screen/home].

Classification method: Quantile; Number of classes: 5. [Tool: https://gisco-services.ec.europa.eu/image/screen/home].

Classification method: Quantile; Number of classes: 3. [Tool: https://gisco-services.ec.europa.eu/image/screen/home].

Classification method: Quantile; Number of classes: 5. [Tool: https://gisco-services.ec.europa.eu/image/screen/home].

Classification method: Quantile; Number of classes: 3. [Tool: https://gisco-services.ec.europa.eu/image/screen/home].

Classification method: Quantile; Number of classes: 5. [Tool: https://gisco-services.ec.europa.eu/image/screen/home].

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According to the documentation, this value must be non-negative. The final generated series of values (weights) in any of the columns could also not be negative.

Q1—first quartile value; Q3—third quartile value; IQR—Interquartile Range.

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Title: Climate Change Competitiveness of EU Regions—Current Status
Authors: Agnieszka Karman
Urszula Bronisz
Jarosław Banaś
Andrzej Miszczuk
Publisher: Springer Nature Switzerland
Book: Regional Competitiveness Towards Climate Change
Print ISBN: 978-3-031-68766-2

Electronic ISBN: 978-3-031-68767-9

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-68767-9_3

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