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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Claim

Factors determining regional climate change competitiveness

Research datakeyboard_double_arrow_right Dataset 18 Feb 2022 English Publisher:Zenodo
Authors: Karman, Agnieszka;

doi: 10.5281/zenodo.6137003 , 10.5281/zenodo.6137002

Factors determining regional climate change competitiveness

Abstract

Regional climate change competitiveness is the comprehensive ability of a region to achieve and sustain the competitive advantage and attain economic and social development under climate change constraints when compared with other regions in the process of development. This database contains the raw data illustrating the EU region’s (NUTS2) impact on climate change and the effects of the region's and sector's climate change adaptatove measures.

This study was funded by the National Science Centre, Poland, grant No. 2019/35/B/HS5/01548.

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Keywords

climate change, competitiveness, NUTS2

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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