Citation from DataCite
ORCID:0000-0002-3499-5005
Affiliation: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany), GRID: 433014.1
Droste, Nils
ORCID:0000-0003-4357-9115
Affiliation: Lund University, Sweden
Matzdorf, Bettina
Affiliation: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany), GRID: 433014.1
Researcher: Droste, Nils, Department Political Science, Biodiversity and Ecosystem Services in a Changing Climate, Lund University,
Allhelgona kyrkogata 14, 223 62 Lund, Sweden
Researcher: Matzdorf, Bettina, Research Area Land Use and Governance, Working Group Governance of Ecosystem Services, Leibniz Centre for Agricultural Landscape Research, Eberswalder Str. 84, 15374 Müncheberg, Germany
ContactPerson: Krause, Marlen Sibylle
DataCollector: meap GmbH
HostingInstitution: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany), GRID: 433014.1
GEMET: Social analysis; business; Nature conservation; Ecosystem services; Biodiversity
Other: Corporate responsibility; Voluntary commitment; Conservation credits
The data stems from a Germany-wide business survey about voluntary corporate commitments for the protection of biodiversity and natural ecosystems. The main purpose of the survey was to analyse in how far businesses are engaged for nature conservation as well as the factors that influence their actions in this regard. Moreover, the survey investigated business perceptions regarding the concept of an online-marketplace for nature conservation credits. The datasets include information about company characteristics. The complete dataset (i.e. “dataset_complete”) contains information from 747 respondents that logged into the online survey system. Out of those, the first subset (i.e. “subset_1”) comprises the responses from 618 companies that provided sufficiently complete questionnaires, suitable for an analysis of drivers for corporate conservation commitments.
Methods:
The survey was conducted in 2019. It was realised through postal invitation letters and a self-administered online-survey. The survey targeted large and medium sized companies of the secondary and tertiary sectors in Germany, which were sampled through proportional stratified random sampling. The strata were based on company size (i.e. number of employees) and location (i.e. federal state).
awardNumber: 01LC1315A
IsDescribedBy DOI: https://doi.org/10.1016/j.dib.2020.106625
PDF files: 2 Invitation letters, 1 reminder, 1 questionnaire
txt file: description of secondary data retrieval (table: target population 2017)
Table dataset_complete and subset_1: Each column name is described in table dataset_complete_codebook and subset_1_codebook, respectively, in column variable_complete.
Table dataset_complete_codebook and subset_1_codebook:
Table target_population_2017
View Sample Data
Table dataset complete
Table codebook complete
Table target population 2017 Download Link
Please send your inquiry via email to marlen.krause@zalf.de and rda@zalf.de
(subject: Dataset DOI: 10.4228/ZALF.DK.149) to get you download link.
This data by ZALF is licensed under the Creative Commons Attribution 4.0
txt file: description of secondary data retrieval (table: target population 2017)
Table dataset_complete and subset_1: Each column name is described in table dataset_complete_codebook and subset_1_codebook, respectively, in column variable_complete.
Table dataset_complete_codebook and subset_1_codebook:
| Column name | Description |
| variable_complete | Variable name, column names of table dataset_complete |
| question_statement_DE_original | Original question in survey (language: German) |
| question_statement-EN_translated | Translated question (language: ENglish) |
| coding | Explanation of code numbers |
| missing_values |
Code for missing values 999999 = no answer 977777 = not applicable |
| source | Source of data |
Table target_population_2017
| Column name | Description |
| state | Federal state of Germany |
| WZ2008_section | Section number of business register system |
| section_name | Section name of business register system |
| Size_50_to_249 | Employee size class: count of businesses with 50 to 249 employees |
| Size_250 | Employee size class: count of businesses with more than 250 employees |
Table codebook complete
Table target population 2017