Open Research Data Portal
DOI for Scientific and Technical Data
https://www.doi.org/10.4228/ZALF.DK.106
Title
Data sets from a German consumer survey on ethics in poultry production
Citation
Busse, Maria et al. (2019) Data sets from a German consumer survey on ethics in poultry production https://www.doi.org/10.4228/ZALF.DK.106
Creator(s)
Busse, Maria (ORCID: 0000-0001-7647-0955) (Leibniz Centre for Agricultural Landscape Research (ZALF))
Kernecker, Maria Lee (ORCID: 0000-0002-6118-9164) (Leibniz Centre for Agricultural Landscape Research (ZALF))
Siebert, Rosemarie (Leibniz Centre for Agricultural Landscape Research (ZALF))
Publisher
Leibniz Centre for Agricultural Landscape Research (ZALF)
Dates
Collected: 2016-05-02/2016-05-31
Contributor(s)
Researcher: Siebert, Rosemarie (Leibniz Centre for Agricultural Landscape Research (ZALF))
Researcher: Kernecker, Maria Lee, (ORCID: 0000-0002-6118-9164) (Leibniz Centre for Agricultural Landscape Research (ZALF))
Researcher: Busse, Maria (ORCID: 0000-0001-7647-0955) (Leibniz Centre for Agricultural Landscape Research (ZALF))
ContactPerson: Meier, Kristin (Leibniz Centre for Agricultural Landscape Research (ZALF))
DataCollector: forsa marplan Markt- und Mediaforschungsgesellschaft mbH
DataManager: Leibniz Centre for Agricultural Landscape Research (ZALF) (GRID: 433014.1)
Subject(s)
AGROVOC: Social Sciences; Consumer surveys; Innovation adoption; Marketing
other: consumer's attitudes; cluster analysis; innovation management
Description
Abstract:
The data set reveals consumers’ attitudes towards ethical issues in chicken production. The focus is on the killing practice and dual purpose chickens. It provides information on consumer purchase pattern of eggs and chicken meat, perception of animal welfare and protection issues, knowledge and perception of killing day-old chicks, attitudes towards dual purpose chickens, and socio-demographic characteristics. The raw data contains standardized responds of 1000 telephone interviews with German consumers (Berlin and Brandenburg) from 2016. A cluster analysis was performed to categorize consumers according to purchasing criteria for dual chicken products. Clusters were described by means of socio-economic variables.

Funding Reference
funderName: Federal Ministry of Education and Research (BMBF), Germany; (ISNI: 0000 0004 0639 2885)
awardNumber: 033L145D
Related Identifier
IsReferencedBy DOI: https://doi.org/10.1007/s10806-019-09806-y
Language
English
Location
Berlin Brandenburg
Data Format
TXT, CSV
Type of Resource
Dataset: Raw and analysed survey data
Rights
Creative Commons Attribution 4.0
Structure of Data Table(s)
Table: Consumer_survey_raw_data
Column name Unit Description
All columns   For details see table "Codes_raw_data" with item descriptions and value descriptions

Table: Codes_raw_data
Column name Unit Description
name   Name of label
description   Description of label, survey question
value_description   Value description, list of values for this item
default   Value for missing answer
scale   Scale type

Table Cluster_description
Column name Unit Description
cluster   Name of the cluster
description   Description of label, survey question
value_description   Value description, response category
value 1/100 % Relative value, share of the total sample


Table Cluster_analysis
Column name Unit Description
cluster   Name of the cluster
informed 1/100 % Value for the item: "I would have to feel well informed about the product", R, not scaled, gower's distance, ward method, 5 clusters
trust_info 1/100 % Value for the item: "I would have to trust the product information", R, not scaled, gower's distance, ward method, 5 clusters
trust_seals 1/100 % Value for the item: "I would have to be able to trust the seals (for example, Bio Siegel)", R, not scaled, gower's distance, ward method, 5 clusters
regionality 1/100 % Value for the item: "The product should come from the region", R, not scaled, gower's distance, ward method, 5 clusters
fair_prices_for_producers 1/100 % Value for the item: "Fair prices for producers would have to be achieved", R, not scaled, gower's distance, ward method, 5 clusters
small_farms 1/100 % Value for the item: "The product would have to come from small farms (max 5000 animals) where poultry farming is only one activity", R, not scaled, gower's distance, ward method, 5 clusters
biodiversity 1/100 % Value for the item: "The product should contribute to the protection of biodiversity in poultry farming", R, not scaled, gower's distance, ward method, 5 clusters
price 1/100 % Value for the item: "The product should not be much more expensive than the one I usually buy", R, not scaled, gower's distance, ward method, 5 clusters
availability 1/100 % Value for the item: "The product should be regularly available in my purchasing source", R, not scaled, gower's distance, ward method, 5 clusters
good_taste 1/100 % Value for the item: "The product should be good in taste", R, not scaled, gower's distance, ward method, 5 clusters
frequency_of_response   Frequency of response, absolute numbers

View Sample Data
Table DK_106_Consumer_survey_raw_data.htm
Table DK_106_Codes_raw_data.htm
Table DK_106_Cluster_description.htm
Table DK_106_Cluster_analysis.htm
DK_106_R_Script.txt
DK_106_DataInBrief_Dendrogram.pdf
Download Link
Download dataset as zip file
Get Citation from DataCite
go to DataCite
This data by ZALF is licensed under the Creative Commons Attribution 4.0Creative Commons License