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ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Enablers and hindrances across inequality grounds for advancing behavioural change through an inclusive green deal. ACCTING quantitative dataset

Authors: Zorell, Carolin; Küchler, Friederike; Strid, Sofia;

Enablers and hindrances across inequality grounds for advancing behavioural change through an inclusive green deal. ACCTING quantitative dataset

Abstract

The impact of climate change and the capacity to mitigate its negative impacts are unevenly distributed across and within societies; it is the poorer, marginalised and vulnerable groups who are the most acutely affected. This dataset captures some of the experiences of those groups. It includes quantitative data based on individual narrative interviews in 13 European countries in 2022-2024 across eight thematic research lines – each research line addressing an EU Green Deal policy area. ACCTING: Advancing Behavioural Change through an Inclusive Green Deal (GA: 101036504), funded by European Union (EU) under the Horizon 2020 program, explores the impact of Green Deal policy initiatives on individual and collective behaviours, provides evidence, and empowers policymakers and stakeholders to anticipate policy responses and potential negative influences, and mitigate such impacts in decision-making. ACCTING collects new data on Green Deal policy interventions and co-designs and implements pilot actions to reduce or prevent policy-related inequalities and advance behavioural change for an inclusive and equal European Green Deal, in two cycles. The dataset ("Enablers and hinderances across inequality grounds") consists of data from the second research cycle. The data captures the enabling or hindering effect of resources, social dynamics and structural conditions in relation to different socio-economic factors. The binary factors are gender (men or women), age (below or above average age), geographical location (residence urban or rural), national background (born within the country or not), migration background (migration background or no migration background), education level (higher education or no higher education), income level (high income level or low income level), employment status (in paid work or not in paid work) and disability status (disabled or not disabled).

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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.
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    influence
    This indicator 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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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Found an issue? Give us feedback
citations
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average