Download
1-s2.0-S2352340920315055-main.pdf 323,09KB
WeightNameValue
1000 Titel
  • Survey data on voluntary nature conservation commitments of German businesses and their perceptions towards conservation credits
1000 Autor/in
  1. Krause, M.S. |
  2. Matzdorf, B. |
  3. Droste, N. |
1000 Erscheinungsjahr 2020
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-12-08
1000 Erschienen in
1000 Quellenangabe
  • 33:106625
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.dib.2020.106625 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733002/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • To preserve biodiversity and ecosystem services, company engagement is crucial. However, available data on manager views and perceptions regarding nature conservation in particular is rare. The presented survey data gives insights into current levels and forms of business commitments for nature conservation. The data contributes to understanding business attitudes towards voluntary conservation action and includes information about factors that influence their engagement. Moreover, the data informs about manager perceptions towards the concept of nature conservation credits and, as such, allows for an evaluation of a certified biodiversity and ecosystem services market. Importantly, the dataset contains essential company characteristics to put responses into greater context. The scope of the survey is limited to German companies from secondary and tertiary sectors. Companies were sampled through proportional stratified random sampling based on size and location. The data was collected through a self-administered online-survey, conducted in 2019. The database comprises responses of 747 companies that logged into the online system. The survey data were in part analysed through structural equation modelling for an investigation of factors that drive voluntary conservation commitments [1]. Related to this analysis, a subset of 618 companies is available that provided sufficiently completed questionnaires. Both datasets, i.e. the raw data as well as the first subset used for analysis, are hosted in the public repository Open Research Data of the Leibniz Centre for Agricultural Landscape Research (ZALF), Germany. The repository also stores all coding information as well as the questionnaire: https://www.doi.org/10.4228/ZALF.DK.149. The dataset can be used, for example, by researchers from the field of environmental business management and strategy.
1000 Sacherschließung
lokal Social science
lokal Natural capital
lokal Corporate responsibility
lokal Biodiversity
lokal Ecosystem services
lokal Companies
lokal Sustainable development
lokal Willingness to pay
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/S3JhdXNlLCBNLlMu|https://frl.publisso.de/adhoc/uri/TWF0emRvcmYsIEIu|https://frl.publisso.de/adhoc/uri/RHJvc3RlLCBOLg==
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
  2. Bundesministerium für Umwelt, Naturschutz und Reaktorsicherheit |
  3. Leibniz-Gemeinschaft |
1000 Fördernummer
  1. -
  2. 01LC1315A
  3. -
1000 Förderprogramm
  1. Research for the Implementation of the National Biodiversity Strategy
  2. Federal Programme on Biological Diversity; Research for the Implementation of the National Biodiversity Strategy
  3. Open Access fund
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm Research for the Implementation of the National Biodiversity Strategy
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Umwelt, Naturschutz und Reaktorsicherheit |
    1000 Förderprogramm Federal Programme on Biological Diversity; Research for the Implementation of the National Biodiversity Strategy
    1000 Fördernummer 01LC1315A
  3. 1000 joinedFunding-child
    1000 Förderer Leibniz-Gemeinschaft |
    1000 Förderprogramm Open Access fund
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6432799.rdf
1000 Erstellt am 2022-04-05T10:21:06.013+0200
1000 Erstellt von 317
1000 beschreibt frl:6432799
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Fri Apr 08 11:48:13 CEST 2022
1000 Objekt bearb. Fri Apr 08 11:48:12 CEST 2022
1000 Vgl. frl:6432799
1000 Oai Id
  1. oai:frl.publisso.de:frl:6432799 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source