Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Survey data on voluntary nature conservation commitments of German businesses and their perceptions towards conservation credits

Krause, M. S. LU ; Matzdorf, B. and Droste, N. LU orcid (2020) In Data in Brief 33.
Abstract

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... (More)

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.

(Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Biodiversity, Companies, Corporate responsibility, Ecosystem services, Natural capital, Social science, Sustainable development, Willingness to pay
in
Data in Brief
volume
33
article number
106625
publisher
Elsevier
external identifiers
  • pmid:33335964
  • scopus:85106833391
ISSN
2352-3409
DOI
10.1016/j.dib.2020.106625
language
English
LU publication?
yes
id
fb1b3566-e15d-44c8-b028-8bb603b04ef1
date added to LUP
2021-06-14 14:14:14
date last changed
2024-06-07 03:02:37
@article{fb1b3566-e15d-44c8-b028-8bb603b04ef1,
  abstract     = {{<p>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.</p>}},
  author       = {{Krause, M. S. and Matzdorf, B. and Droste, N.}},
  issn         = {{2352-3409}},
  keywords     = {{Biodiversity; Companies; Corporate responsibility; Ecosystem services; Natural capital; Social science; Sustainable development; Willingness to pay}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Data in Brief}},
  title        = {{Survey data on voluntary nature conservation commitments of German businesses and their perceptions towards conservation credits}},
  url          = {{http://dx.doi.org/10.1016/j.dib.2020.106625}},
  doi          = {{10.1016/j.dib.2020.106625}},
  volume       = {{33}},
  year         = {{2020}},
}