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Data on transnational ecological compensation under a ‘no net loss’ biodiversity policy
We conducted surveys in Denmark, Spain, and Ghana to solicit individual preferences for national and international ecological compensation for forest cover lost in the participant's home country due to the construction of a road. In the same survey, we also solicited individual socio-demographi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319204/ https://www.ncbi.nlm.nih.gov/pubmed/37409172 http://dx.doi.org/10.1016/j.dib.2023.109324 |
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author | Abatayo, Anna Lou Bull, Joseph William Strange, Niels |
author_facet | Abatayo, Anna Lou Bull, Joseph William Strange, Niels |
author_sort | Abatayo, Anna Lou |
collection | PubMed |
description | We conducted surveys in Denmark, Spain, and Ghana to solicit individual preferences for national and international ecological compensation for forest cover lost in the participant's home country due to the construction of a road. In the same survey, we also solicited individual socio-demographic characteristics and preferences, such as their gender, their risk preferences, whether they think individuals in Denmark, Spain, or Ghana can be trusted, etc. The data is useful for understanding individual preferences for national and international ecological compensation under a net outcomes type biodiversity policy (e.g., “no net loss”). It can also be used to understand how individual preferences and socio-demographic characteristics can be used to understand an individual's choice for ecological compensation. |
format | Online Article Text |
id | pubmed-10319204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103192042023-07-05 Data on transnational ecological compensation under a ‘no net loss’ biodiversity policy Abatayo, Anna Lou Bull, Joseph William Strange, Niels Data Brief Data Article We conducted surveys in Denmark, Spain, and Ghana to solicit individual preferences for national and international ecological compensation for forest cover lost in the participant's home country due to the construction of a road. In the same survey, we also solicited individual socio-demographic characteristics and preferences, such as their gender, their risk preferences, whether they think individuals in Denmark, Spain, or Ghana can be trusted, etc. The data is useful for understanding individual preferences for national and international ecological compensation under a net outcomes type biodiversity policy (e.g., “no net loss”). It can also be used to understand how individual preferences and socio-demographic characteristics can be used to understand an individual's choice for ecological compensation. Elsevier 2023-06-16 /pmc/articles/PMC10319204/ /pubmed/37409172 http://dx.doi.org/10.1016/j.dib.2023.109324 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Abatayo, Anna Lou Bull, Joseph William Strange, Niels Data on transnational ecological compensation under a ‘no net loss’ biodiversity policy |
title | Data on transnational ecological compensation under a ‘no net loss’ biodiversity policy |
title_full | Data on transnational ecological compensation under a ‘no net loss’ biodiversity policy |
title_fullStr | Data on transnational ecological compensation under a ‘no net loss’ biodiversity policy |
title_full_unstemmed | Data on transnational ecological compensation under a ‘no net loss’ biodiversity policy |
title_short | Data on transnational ecological compensation under a ‘no net loss’ biodiversity policy |
title_sort | data on transnational ecological compensation under a ‘no net loss’ biodiversity policy |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319204/ https://www.ncbi.nlm.nih.gov/pubmed/37409172 http://dx.doi.org/10.1016/j.dib.2023.109324 |
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