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It includes information on household demographics, migration history and intentions, remittances received and support given, migration attitudes, and constraints, household income, personality traits, and subjective well-being. The respondents answered questions on their personal situation, on other household members, and on the general household situation. The use of computer assisted personal interviews (CAPI) ensured high quality data.

\n\nThe database is a product of a German Research Foundation (DFG) financed research project \"Internal migration in Kazakhstan – New Institutionalism and Bayesian Networks: Establishing an analytical framework to model migration decision making in rural Kazakhstan\" (BU1319/16-1, HE 5272/8-1).

\n\nThe data set has not yet been fully analysed in many respects, e.g. on subjective well-being of the respondent and his/her migration/staying intentions.

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\nTom Dufhues, dufhues@yahoo.de

\nFor inquiries regarding data organization and on extracting data on particular aspects/variables please contact the data curator Stephan Brosig (brosig@iamo.de)

", "de" : "This database contains primary data from a standardized household survey (n=400) conducted in Northern Kazakhstan (Akmola province) in 2017. It includes information on household demographics, migration history and intentions, remittances received and support given, migration attitudes, and constraints, household income, personality traits, and subjective well-being. The respondents answered questions on their personal situation, on other household members, and on the general household situation. The use of computer assisted personal interviews (CAPI) ensured high quality data.

\n\nThe database is a product of a German Research Foundation (DFG) financed research project \"Internal migration in Kazakhstan – New Institutionalism and Bayesian Networks: Establishing an analytical framework to model migration decision making in rural Kazakhstan\" (BU1319/16-1, HE 5272/8-1).

\n\nThe data set has not yet been fully analysed in many respects, e.g. on subjective well-being of the respondent and his/her migration/staying intentions.

\nData are stored in long-form.
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\nTom Dufhues, dufhues@yahoo.de

\nFor inquiries regarding data organization and on extracting data on particular aspects/variables please contact the data curator Stephan Brosig (brosig@iamo.de)

", "en" : "This database contains primary data from a standardized household survey (n=400) conducted in Northern Kazakhstan (Akmola province) in 2017. It includes information on household demographics, migration history and intentions, remittances received and support given, migration attitudes, and constraints, household income, personality traits, and subjective well-being. The respondents answered questions on their personal situation, on other household members, and on the general household situation. The use of computer assisted personal interviews (CAPI) ensured high quality data.

\n\nThe database is a product of a German Research Foundation (DFG) financed research project \"Internal migration in Kazakhstan – New Institutionalism and Bayesian Networks: Establishing an analytical framework to model migration decision making in rural Kazakhstan\" (BU1319/16-1, HE 5272/8-1).

\n\nThe data set has not yet been fully analysed in many respects, e.g. on subjective well-being of the respondent and his/her migration/staying intentions.

\nData are stored in long-form.
\nFurther inquiries can be sent directly to:
\nTom Dufhues, dufhues@yahoo.de

\nFor inquiries regarding data organization and on extracting data on particular aspects/variables please contact the data curator Stephan Brosig (brosig@iamo.de)

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"info:searchapp/vocab/adhoc/V29obnVuZ3N3ZWNoc2Vs", "notation" : "", "source" : { "uri" : "https://zbw.eu/stw/version/latest/about", "label" : "STW" }, "label" : { "pref" : "Wohnungswechsel", "de" : "Wohnungswechsel", "en" : "Wohnungswechsel" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/UHJpdmF0ZXIgSGF1c2hhbHQ=", "notation" : "", "source" : { "uri" : "https://zbw.eu/stw/version/latest/about", "label" : "STW" }, "label" : { "pref" : "Privater Haushalt", "de" : "Privater Haushalt", "en" : "Privater Haushalt" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/WnVmcmllZGVuaGVpdA==", "notation" : "", "source" : { "uri" : "https://zbw.eu/stw/version/latest/about", "label" : "STW" }, "label" : { "pref" : "Zufriedenheit", "de" : "Zufriedenheit", "en" : "Zufriedenheit" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/R2zDvGNrc2ZvcnNjaHVuZw==", "notation" : "", "source" : { "uri" : 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"type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/TGViZW5zenVmcmllZGVuaGVpdA==", "notation" : "", "source" : { "uri" : "https://lod.gesis.org/thesoz/", "label" : "THESOZ" }, "label" : { "pref" : "Lebenszufriedenheit", "de" : "Lebenszufriedenheit", "en" : "satisfaction with life" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/TGFuZGZsdWNodA==", "notation" : "", "source" : { "uri" : "https://lod.gesis.org/thesoz/", "label" : "THESOZ" }, "label" : { "pref" : "Landflucht", "de" : "Landflucht", "en" : "rural-urban migration" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/QXJiZWl0c21pZ3JhdGlvbg==", "notation" : "", "source" : { "uri" : "https://lod.gesis.org/thesoz/", "label" : "THESOZ" }, "label" : { "pref" : "Arbeitsmigration", "de" : "Arbeitsmigration", "en" : "labor migration" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/TmFod2FuZGVydW5n", "notation" : "", "source" : { "uri" : "https://lod.gesis.org/thesoz/", "label" : "THESOZ" }, "label" : { "pref" : "Nahwanderung", "de" : "Nahwanderung", "en" : "short-distance migration" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/c296aWFsZSBOb3Jt", "notation" : "", "source" : { "uri" : "https://lod.gesis.org/thesoz/", "label" : "THESOZ" }, "label" : { "pref" : "soziale Norm", "de" : "soziale Norm", "en" : "social norm" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/RWluc3RlbGx1bmc=", "notation" : "", "source" : { "uri" : "https://lod.gesis.org/thesoz/", "label" : "THESOZ" }, "label" : { "pref" : "Einstellung", "de" : "Einstellung", "en" : "attitude" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/VmVyaGFsdGVuc3N0ZXVlcnVuZw==", "notation" : "", "source" : { "uri" : "https://lod.gesis.org/thesoz/", "label" : "THESOZ" }, "label" : { "pref" : "Verhaltenssteuerung", "de" : "Verhaltenssteuerung", "en" : "behavior control" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/R2zDvGNr", "notation" : "", "source" : { "uri" : "https://lod.gesis.org/thesoz/", "label" : "THESOZ" }, "label" : { "pref" : "Glück", "de" : "Glück", "en" : "happiness" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/SGF1c2hhbHRzZWlua29tbWVu", "notation" : "", "source" : { "uri" : "https://lod.gesis.org/thesoz/", "label" : "THESOZ" }, "label" : { "pref" : "Haushaltseinkommen", "de" : "Haushaltseinkommen", "en" : "household income" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/QmV6dWdzZ3J1cHBl", "notation" : "", "source" : { "uri" : "https://lod.gesis.org/thesoz/", "label" : "THESOZ" }, "label" : { "pref" : "Bezugsgruppe", "de" : "Bezugsgruppe", "en" : "reference group" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/UGVyc8O2bmxpY2hrZWl0c21lcmttYWw=", "notation" : "", "source" : { "uri" : "https://lod.gesis.org/thesoz/", "label" : "THESOZ" }, "label" : { "pref" : "Persönlichkeitsmerkmal", "de" : "Persönlichkeitsmerkmal", "en" : "personality traits" } } ], "temporalCoverages" : [ { "startDate" : "2017-06", "endDate" : "2017-08", "labels" : [ ] } ], "timeDimensions" : [ { "timeDimensionsFree" : { "pref" : "Querschnitt", "de" : "Querschnitt", "en" : "cross-section" } } ], "title" : { "pref" : "Rural-Urban migration and remittances in the Akmola province (Northern Kazakhstan)", "de" : "Rural-Urban migration and remittances in the Akmola province (Northern Kazakhstan)", "en" : "Rural-Urban migration and remittances in the Akmola province (Northern Kazakhstan)" }, "uri" : "https://doi.org/10.7802/2268", "searchappPublisher" : { "shortName" : "GESIS", "name" : { "de" : "GESIS - Leibniz Institut für Sozialwissenschaften", "en" : "GESIS - Leibniz Institute for the Social Sciences" }, "url" : "https://www.gesis.org/" }, "calculatedTemporalCoverage" : { "label" : "2017", "dates" : [ "2017" ] } }},{"_index":"soda-2026-05-07-06-20-01","_id":"2276.json","_score":1.0,"_ignored":["abstract.pref.raw","abstract.en.raw","abstract.de.raw"],"_source":{ "abstract" : { "pref" : " (GERMAN ABSTRACT SEE BELOW)

\r\n Overview
\r\nData from standardized online survey of more than 700 German farmers (and non-farmers) on their preferences for government regulation to protect local farmers from competition through non-local or non-farm competitors when purchasing land in agricultural land markets. Find more detailed description on the survey and and dataset in metadata document Jauernig_LandmarketRegulation_DSDescriptionEN.pdf and the survey instrument Jauernig_LandmarketRegulation_SurveyInstrument.pdf. with English translation in Jauernig_LandmarketRegulation_SurveyInstrumentEN.pdf

\r\n\r\n Data generation
\r\n\r\nRecruitment for participation in online survey with standardized questionnaire by e-mail to farmers via several address lists (agricultural research institutions, associations, churches), mainly in North-Rhine Westphalia and Brandenburg. After evaluation of a pretest and feedback from farmers and other experts, the final questionnaire was created.
\r\nSurvey period: February to May 2019

\r\n\r\n Survey instrument structure and content
\r\n\r\nThe survey instrument is composed of four parts:
\r\n1) Attitude survey based on scenarios (vignette study): Scenario descriptions depict competitive situations between local farmers and out-of-town or non-agricultural competitors for the purchase of agricultural land: Participants are asked about their preferences for variants of government regulation with varying degrees of protection of local farmers over competitors. They had to choose from a scale of 13 response options ranging from unregulated transaction to various surcharge requirements to strict prohibition of sales to the respective competitors. Questionnaire variants with differences in the description of the competitor and the role of the respondent (observer or seller of the land) were randomly assigned. (2 items)\r\n2) General (i.e., not scenario-specific) closed-ended items about attitudes toward current as well as desired regulation of agricultural land transactions. (10 items)\r\n3) Closed-ended items about the role of agriculture in society and the economy, the appropriateness and justification, if any, for preferential treatment of the agricultural sector. (7 items)\r\n4) Structural data on the agricultural enterprise and the respondent's person.

\r\n\r\n Data set description
\r\n\r\nThe total dataset contains 717 observations (674 farmers, 43 non-farmers) and 73 variables. Variable B702 (county) was removed for anonymization purposes. For more information on data density and data quality, see the document \"Jauernig_LandmarketRegulation_DSDescriptionEN.pdf\" and the codebook with variable-level distribution information (Jauernig_LandmarketRegulation_CodebookEN.pdf).
\r\nData are available in four formats: Stata (w bilingual labels), three versions of CSV with factor variable values represented as a) numerical codes, b) German labels, and c) Enlish labels.

\r\n\r\n GERMAN VERSION

\r\n Überblick
\r\nDaten aus standardisierter Online-Befragung unter über 700 deutschen Landwirten (und Nichtlandwirten) zu ihren Präferenzen für staatliche Regulierung zum Schutz ortsansässiger Landwirte gegenüber Konkurrenz durch ortsfremde bzw. landwirtschaftsfremde Konkurrenten beim Landkauf auf landwirtschaftlichen Bodenmärkten. Detailliertere Beschreibung von Datengewinnung und Datensatz im Metadatendokument „Jauernig_LandmarketRegulation_DSDescriptionDE.pdf“ sowie im Befragungsinstrument „Jauernig_LandmarketRegulation_SurveyInstrument.pdf“. \r\n

\r\n Datengewinnung
\r\nRekrutierung zur Teilnahme an Online-Befragung mit standardisiertem Fragebogen durch E-Mail-Anschreiben von Landwirten über mehrere Adressenlisten (Agrarforschungseinrichtungen, Verbände, Kirchen), schwerpunktmäßig in NRW und Brandenburg. Nach Auswertung eines Pretests/Probebefragung und Rückmeldungen durch Landwirte und andere Fachleute wurde der endgültige \r\nFragebogen erstellt.
\r\nBefragungzeitraum: Februar bis Mai 2019

\r\n\r\n Fragebogenstruktur und -inhalt
\r\nFragebogen aus vier Teilen:
\r\n1) Einstellungsabfrage anhand von Szenarien: In Szenarienbeschreibungen werden Konkurrenzsituationen zwischen örtlichen Landwirten und auswärtigen bzw. außerlandwirtschaftlichen Konkurrenten um den Kauf landwirtschaftlicher Flächen dargestellt: TeilnehmerInnen werden nach ihren Präferenzen für Varianten staatlicher Regulierung mit unterschiedlich starker Protektion ortsansässiger Landwirte gegenüber den Konkurrenten befragt. Sie hatten aus einer Skala von 13 Antwortoptionen von unregulierter Transaktion über verschiedene Aufpreisforderungen bis hin zum strikten Verbot des Verkaufs an Konkurrenten auszuwählen. Fragebogenvarianten mit Unterschieden bzgl. der Beschreibung des Konkurrenten sowie der Rolle des Respondenten (Beobachter oder Verkäufer des Landes) wurden randomisiert zugewiesen. (2 Items)
\r\n2) Allgemeine (d.h. nicht szenarienspezifische) geschlossene Fragen über Haltungen zur derzeitigen sowie der gewünschten Regulierung des landwirtschaftlichen Grundstücksverkehrs. (10 Items)
\r\n3) Geschlossene Fragen über die Stellung der Landwirtschaft in der Gesellschaft und Volkswirtschaft, der Angemessenheit und ggf. Begründung einer bevorzugten Behandlung des Sektors. (7 Items)
\r\n4) Strukturdaten zum Landwirtschaftsbetrieb und zur Person des Respondenten.
\r\n
\r\n Datensatzbeschreibung
\r\nDer Gesamtdatensatz enthält 717 Beobachtungen (674 Landwirte, 43 Nichtlandwirte) und 73 Variablen. Die Variable B702 (Landkreis) wurde aus Gründen der Anonymisierung entfernt. Weitere Informationen über Datendichte und Datenqualität sind dem Dokument \"Jauernig_LandmarketRegulation_DSDescriptionDE.pdf\" und dem Codebook mit Verteilungsangaben auf Variablenebene (Jauernig_LandmarketRegulation_CodebookDE.pdf) zu entnehmen.
\r\nDie Daten werden in vier Formaten angeboten: Stata (mit Labelsätzen in Deutsch u Englisch), drei Versionen CSV Dateien mit folgenden Repräsentationen der Faktorvariablen: a) numerische Codes, b) deutschsprachige Labels, and c) englischsprachige Labels.", "de" : " (GERMAN ABSTRACT SEE BELOW)

\r\n Overview
\r\nData from standardized online survey of more than 700 German farmers (and non-farmers) on their preferences for government regulation to protect local farmers from competition through non-local or non-farm competitors when purchasing land in agricultural land markets. Find more detailed description on the survey and and dataset in metadata document Jauernig_LandmarketRegulation_DSDescriptionEN.pdf and the survey instrument Jauernig_LandmarketRegulation_SurveyInstrument.pdf. with English translation in Jauernig_LandmarketRegulation_SurveyInstrumentEN.pdf

\r\n\r\n Data generation
\r\n\r\nRecruitment for participation in online survey with standardized questionnaire by e-mail to farmers via several address lists (agricultural research institutions, associations, churches), mainly in North-Rhine Westphalia and Brandenburg. After evaluation of a pretest and feedback from farmers and other experts, the final questionnaire was created.
\r\nSurvey period: February to May 2019

\r\n\r\n Survey instrument structure and content
\r\n\r\nThe survey instrument is composed of four parts:
\r\n1) Attitude survey based on scenarios (vignette study): Scenario descriptions depict competitive situations between local farmers and out-of-town or non-agricultural competitors for the purchase of agricultural land: Participants are asked about their preferences for variants of government regulation with varying degrees of protection of local farmers over competitors. They had to choose from a scale of 13 response options ranging from unregulated transaction to various surcharge requirements to strict prohibition of sales to the respective competitors. Questionnaire variants with differences in the description of the competitor and the role of the respondent (observer or seller of the land) were randomly assigned. (2 items)\r\n2) General (i.e., not scenario-specific) closed-ended items about attitudes toward current as well as desired regulation of agricultural land transactions. (10 items)\r\n3) Closed-ended items about the role of agriculture in society and the economy, the appropriateness and justification, if any, for preferential treatment of the agricultural sector. (7 items)\r\n4) Structural data on the agricultural enterprise and the respondent's person.

\r\n\r\n Data set description
\r\n\r\nThe total dataset contains 717 observations (674 farmers, 43 non-farmers) and 73 variables. Variable B702 (county) was removed for anonymization purposes. For more information on data density and data quality, see the document \"Jauernig_LandmarketRegulation_DSDescriptionEN.pdf\" and the codebook with variable-level distribution information (Jauernig_LandmarketRegulation_CodebookEN.pdf).
\r\nData are available in four formats: Stata (w bilingual labels), three versions of CSV with factor variable values represented as a) numerical codes, b) German labels, and c) Enlish labels.

\r\n\r\n GERMAN VERSION

\r\n Überblick
\r\nDaten aus standardisierter Online-Befragung unter über 700 deutschen Landwirten (und Nichtlandwirten) zu ihren Präferenzen für staatliche Regulierung zum Schutz ortsansässiger Landwirte gegenüber Konkurrenz durch ortsfremde bzw. landwirtschaftsfremde Konkurrenten beim Landkauf auf landwirtschaftlichen Bodenmärkten. Detailliertere Beschreibung von Datengewinnung und Datensatz im Metadatendokument „Jauernig_LandmarketRegulation_DSDescriptionDE.pdf“ sowie im Befragungsinstrument „Jauernig_LandmarketRegulation_SurveyInstrument.pdf“. \r\n

\r\n Datengewinnung
\r\nRekrutierung zur Teilnahme an Online-Befragung mit standardisiertem Fragebogen durch E-Mail-Anschreiben von Landwirten über mehrere Adressenlisten (Agrarforschungseinrichtungen, Verbände, Kirchen), schwerpunktmäßig in NRW und Brandenburg. Nach Auswertung eines Pretests/Probebefragung und Rückmeldungen durch Landwirte und andere Fachleute wurde der endgültige \r\nFragebogen erstellt.
\r\nBefragungzeitraum: Februar bis Mai 2019

\r\n\r\n Fragebogenstruktur und -inhalt
\r\nFragebogen aus vier Teilen:
\r\n1) Einstellungsabfrage anhand von Szenarien: In Szenarienbeschreibungen werden Konkurrenzsituationen zwischen örtlichen Landwirten und auswärtigen bzw. außerlandwirtschaftlichen Konkurrenten um den Kauf landwirtschaftlicher Flächen dargestellt: TeilnehmerInnen werden nach ihren Präferenzen für Varianten staatlicher Regulierung mit unterschiedlich starker Protektion ortsansässiger Landwirte gegenüber den Konkurrenten befragt. Sie hatten aus einer Skala von 13 Antwortoptionen von unregulierter Transaktion über verschiedene Aufpreisforderungen bis hin zum strikten Verbot des Verkaufs an Konkurrenten auszuwählen. Fragebogenvarianten mit Unterschieden bzgl. der Beschreibung des Konkurrenten sowie der Rolle des Respondenten (Beobachter oder Verkäufer des Landes) wurden randomisiert zugewiesen. (2 Items)
\r\n2) Allgemeine (d.h. nicht szenarienspezifische) geschlossene Fragen über Haltungen zur derzeitigen sowie der gewünschten Regulierung des landwirtschaftlichen Grundstücksverkehrs. (10 Items)
\r\n3) Geschlossene Fragen über die Stellung der Landwirtschaft in der Gesellschaft und Volkswirtschaft, der Angemessenheit und ggf. Begründung einer bevorzugten Behandlung des Sektors. (7 Items)
\r\n4) Strukturdaten zum Landwirtschaftsbetrieb und zur Person des Respondenten.
\r\n
\r\n Datensatzbeschreibung
\r\nDer Gesamtdatensatz enthält 717 Beobachtungen (674 Landwirte, 43 Nichtlandwirte) und 73 Variablen. Die Variable B702 (Landkreis) wurde aus Gründen der Anonymisierung entfernt. Weitere Informationen über Datendichte und Datenqualität sind dem Dokument \"Jauernig_LandmarketRegulation_DSDescriptionDE.pdf\" und dem Codebook mit Verteilungsangaben auf Variablenebene (Jauernig_LandmarketRegulation_CodebookDE.pdf) zu entnehmen.
\r\nDie Daten werden in vier Formaten angeboten: Stata (mit Labelsätzen in Deutsch u Englisch), drei Versionen CSV Dateien mit folgenden Repräsentationen der Faktorvariablen: a) numerische Codes, b) deutschsprachige Labels, and c) englischsprachige Labels.", "en" : " (GERMAN ABSTRACT SEE BELOW)

\r\n Overview
\r\nData from standardized online survey of more than 700 German farmers (and non-farmers) on their preferences for government regulation to protect local farmers from competition through non-local or non-farm competitors when purchasing land in agricultural land markets. Find more detailed description on the survey and and dataset in metadata document Jauernig_LandmarketRegulation_DSDescriptionEN.pdf and the survey instrument Jauernig_LandmarketRegulation_SurveyInstrument.pdf. with English translation in Jauernig_LandmarketRegulation_SurveyInstrumentEN.pdf

\r\n\r\n Data generation
\r\n\r\nRecruitment for participation in online survey with standardized questionnaire by e-mail to farmers via several address lists (agricultural research institutions, associations, churches), mainly in North-Rhine Westphalia and Brandenburg. After evaluation of a pretest and feedback from farmers and other experts, the final questionnaire was created.
\r\nSurvey period: February to May 2019

\r\n\r\n Survey instrument structure and content
\r\n\r\nThe survey instrument is composed of four parts:
\r\n1) Attitude survey based on scenarios (vignette study): Scenario descriptions depict competitive situations between local farmers and out-of-town or non-agricultural competitors for the purchase of agricultural land: Participants are asked about their preferences for variants of government regulation with varying degrees of protection of local farmers over competitors. They had to choose from a scale of 13 response options ranging from unregulated transaction to various surcharge requirements to strict prohibition of sales to the respective competitors. Questionnaire variants with differences in the description of the competitor and the role of the respondent (observer or seller of the land) were randomly assigned. (2 items)\r\n2) General (i.e., not scenario-specific) closed-ended items about attitudes toward current as well as desired regulation of agricultural land transactions. (10 items)\r\n3) Closed-ended items about the role of agriculture in society and the economy, the appropriateness and justification, if any, for preferential treatment of the agricultural sector. (7 items)\r\n4) Structural data on the agricultural enterprise and the respondent's person.

\r\n\r\n Data set description
\r\n\r\nThe total dataset contains 717 observations (674 farmers, 43 non-farmers) and 73 variables. Variable B702 (county) was removed for anonymization purposes. For more information on data density and data quality, see the document \"Jauernig_LandmarketRegulation_DSDescriptionEN.pdf\" and the codebook with variable-level distribution information (Jauernig_LandmarketRegulation_CodebookEN.pdf).
\r\nData are available in four formats: Stata (w bilingual labels), three versions of CSV with factor variable values represented as a) numerical codes, b) German labels, and c) Enlish labels.

\r\n\r\n GERMAN VERSION

\r\n Überblick
\r\nDaten aus standardisierter Online-Befragung unter über 700 deutschen Landwirten (und Nichtlandwirten) zu ihren Präferenzen für staatliche Regulierung zum Schutz ortsansässiger Landwirte gegenüber Konkurrenz durch ortsfremde bzw. landwirtschaftsfremde Konkurrenten beim Landkauf auf landwirtschaftlichen Bodenmärkten. Detailliertere Beschreibung von Datengewinnung und Datensatz im Metadatendokument „Jauernig_LandmarketRegulation_DSDescriptionDE.pdf“ sowie im Befragungsinstrument „Jauernig_LandmarketRegulation_SurveyInstrument.pdf“. \r\n

\r\n Datengewinnung
\r\nRekrutierung zur Teilnahme an Online-Befragung mit standardisiertem Fragebogen durch E-Mail-Anschreiben von Landwirten über mehrere Adressenlisten (Agrarforschungseinrichtungen, Verbände, Kirchen), schwerpunktmäßig in NRW und Brandenburg. Nach Auswertung eines Pretests/Probebefragung und Rückmeldungen durch Landwirte und andere Fachleute wurde der endgültige \r\nFragebogen erstellt.
\r\nBefragungzeitraum: Februar bis Mai 2019

\r\n\r\n Fragebogenstruktur und -inhalt
\r\nFragebogen aus vier Teilen:
\r\n1) Einstellungsabfrage anhand von Szenarien: In Szenarienbeschreibungen werden Konkurrenzsituationen zwischen örtlichen Landwirten und auswärtigen bzw. außerlandwirtschaftlichen Konkurrenten um den Kauf landwirtschaftlicher Flächen dargestellt: TeilnehmerInnen werden nach ihren Präferenzen für Varianten staatlicher Regulierung mit unterschiedlich starker Protektion ortsansässiger Landwirte gegenüber den Konkurrenten befragt. Sie hatten aus einer Skala von 13 Antwortoptionen von unregulierter Transaktion über verschiedene Aufpreisforderungen bis hin zum strikten Verbot des Verkaufs an Konkurrenten auszuwählen. Fragebogenvarianten mit Unterschieden bzgl. der Beschreibung des Konkurrenten sowie der Rolle des Respondenten (Beobachter oder Verkäufer des Landes) wurden randomisiert zugewiesen. (2 Items)
\r\n2) Allgemeine (d.h. nicht szenarienspezifische) geschlossene Fragen über Haltungen zur derzeitigen sowie der gewünschten Regulierung des landwirtschaftlichen Grundstücksverkehrs. (10 Items)
\r\n3) Geschlossene Fragen über die Stellung der Landwirtschaft in der Gesellschaft und Volkswirtschaft, der Angemessenheit und ggf. Begründung einer bevorzugten Behandlung des Sektors. (7 Items)
\r\n4) Strukturdaten zum Landwirtschaftsbetrieb und zur Person des Respondenten.
\r\n
\r\n Datensatzbeschreibung
\r\nDer Gesamtdatensatz enthält 717 Beobachtungen (674 Landwirte, 43 Nichtlandwirte) und 73 Variablen. Die Variable B702 (Landkreis) wurde aus Gründen der Anonymisierung entfernt. Weitere Informationen über Datendichte und Datenqualität sind dem Dokument \"Jauernig_LandmarketRegulation_DSDescriptionDE.pdf\" und dem Codebook mit Verteilungsangaben auf Variablenebene (Jauernig_LandmarketRegulation_CodebookDE.pdf) zu entnehmen.
\r\nDie Daten werden in vier Formaten angeboten: Stata (mit Labelsätzen in Deutsch u Englisch), drei Versionen CSV Dateien mit folgenden Repräsentationen der Faktorvariablen: a) numerische Codes, b) deutschsprachige Labels, and c) englischsprachige Labels." }, "collectionModes" : [ { "label" : { "pref" : "Web-basiertes Interview", "de" : "Web-basiertes Interview", "en" : "Web-based interview" } } ], "collections" : [ "IAMO - Leibniz Institute of Agricultural Development in Transition Economies" ], "contributions" : [ { "type" : [ "Contribution" ], "agent" : { "type" : [ "Person" ], "uri" : "info:searchapp/vocab/adhoc/SmF1ZXJuaWcsIEpvaGFubmE=", "label" : "Jauernig, Johanna", "affiliation" : { "uri" : "info:searchapp/vocab/adhoc/TGVpYm5peiBJbnN0aXR1dGUgb2YgQWdyaWN1bHR1cmFsIERldmVsb3BtZW50IGluIFRyYW5zaXRpb24gRWNvbm9taWVzIChJQU1PKQ==", "label" : { "pref" : "Leibniz Institute of Agricultural Development in Transition Economies (IAMO)", "de" : "Leibniz Institute of Agricultural Development in Transition Economies (IAMO)", "en" : "Leibniz Institute of Agricultural Development in Transition Economies (IAMO)" } } }, "role" : [ ] } ], "describedBy" : { "uri" : "https://api.vitrine.gesis.org/search/soda/_doc/2276.json", "type" : "ResearchData", "modifiedBy" : { "uri" : "https://searchapp-indexer", "label" : { "pref" : "Searchapp Indexer" }, "dateCreated" : "2026-05-07T06:20:54.438+02:00", "dateModified" : "2026-05-07T06:20:54.438+02:00", "inDataset" : { "uri" : "https://git.gesis.org/datorium/soda-index-data" }, "resultOf" : { "type" : [ "CreateAction" ], "endTime" : "2026-05-07T06:20:54.438+02:00", "instrument" : { "uri" : "https://git.gesis.org/datorium/searchapp-indexer", "type" : [ "SoftwareApplication" ], "label" : "Searchapp Indexer" }, "srcObject" : { "uri" : "https://git.gesis.org/datorium/soda-index-data/-/blob/main/data/2276.json", "type" : [ "DataFeedItem" ], "inDataset" : { "uri" : "https://git.gesis.org/datorium/soda-index-data", "label" : "raw data" } } } } }, "documentId" : "2276", "geographicCoverages" : [ { "geographicCoveragesFree" : { "pref" : "Germany / DE", "de" : "Germany / DE", "en" : "Germany / DE" } } ], "handles" : [ { "type" : "DOI", "notation" : "10.7802/2276", "url" : "https://doi.org/10.7802/2276", "source" : { "uri" : "info:searchapp/vocab/soda", "label" : "SowiDataNet" } } ], "issuers" : [ { "uri" : "info:searchapp/vocab/adhoc/SUFNTyAtIExlaWJuaXotSW5zdGl0dXQgZsO8ciBBZ3JhcmVudHdpY2tsdW5nIGluIFRyYW5zZm9ybWF0aW9uc8O2a29ub21pZW4=", "label" : { "pref" : "IAMO - 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The study investigates normative attitudes toward land market regulation, fairness in land transactions, and support for various agricultural models. Using a between-subjects experimental design, 1,642 respondents each evaluated one of eight randomized land sale scenarios varying by buyer type, locality, and environmental land use. The survey also captures structural attitudes, regulation preferences, and demographic data. Fieldwork was administered online via Qualtrics, with participants recruited by Dynata. The dataset, codebook, survey instruments, and variable-question mapping are included to facilitate replication and secondary analysis.", "de" : "This dataset originates from a nationally representative survey conducted in Germany between February and March 2025 to examine public perceptions of agricultural land markets. The study investigates normative attitudes toward land market regulation, fairness in land transactions, and support for various agricultural models. 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Access is temporarily limited to reviewers upon request and registration with GESIS. After the peer-review process is completed and the associated manuscript is published, the access conditions will be updated to open access.\r\n\r\nNote to Reviewers:\r\nIf you are a reviewer and would like to access the dataset, please email GESIS and request access. Registration with GESIS is required.\r\n\r\n\r\nDescription of attached files:\r\n\r\nDataset_Brea_Martinez-Collado_&_Jauernig_LandMarketsGermanSurvey.csv\r\n→ Contains anonymized survey data (one row per respondent).\r\n\r\nCodebook_Brea_Martinez-Collado_&_Jauernig_LandMarketsGermanSurvey.pdf\r\n→ Describes all variables, labels, and response frequencies.\r\n\r\nStudy_Description_Brea_Martinez-Collado_&_Jauernig_LandMarketsGermanSurvey.pdf\r\n→ Explains study purpose, design, sampling, and fieldwork.\r\n\r\nSurvey_Experiment_Brea_Martinez-Collado_&_Jauernig_LandMarketsGermanSurvey.pdf\r\n→ Original German-language survey instrument (Qualtrics format).\r\n\r\nSurvey_Experiment_Brea_Martinez-Collado_&_Jauernig_LandMarkets_EnglishTranslation.pdf\r\n→ Full English translation of the German survey.", "de" : "Access Conditions:\r\n\r\nThis dataset is currently published under restricted access to facilitate the peer-review process. Access is temporarily limited to reviewers upon request and registration with GESIS. After the peer-review process is completed and the associated manuscript is published, the access conditions will be updated to open access.\r\n\r\nNote to Reviewers:\r\nIf you are a reviewer and would like to access the dataset, please email GESIS and request access. Registration with GESIS is required.\r\n\r\n\r\nDescription of attached files:\r\n\r\nDataset_Brea_Martinez-Collado_&_Jauernig_LandMarketsGermanSurvey.csv\r\n→ Contains anonymized survey data (one row per respondent).\r\n\r\nCodebook_Brea_Martinez-Collado_&_Jauernig_LandMarketsGermanSurvey.pdf\r\n→ Describes all variables, labels, and response frequencies.\r\n\r\nStudy_Description_Brea_Martinez-Collado_&_Jauernig_LandMarketsGermanSurvey.pdf\r\n→ Explains study purpose, design, sampling, and fieldwork.\r\n\r\nSurvey_Experiment_Brea_Martinez-Collado_&_Jauernig_LandMarketsGermanSurvey.pdf\r\n→ Original German-language survey instrument (Qualtrics format).\r\n\r\nSurvey_Experiment_Brea_Martinez-Collado_&_Jauernig_LandMarkets_EnglishTranslation.pdf\r\n→ Full English translation of the German survey.", "en" : "Access Conditions:\r\n\r\nThis dataset is currently published under restricted access to facilitate the peer-review process. Access is temporarily limited to reviewers upon request and registration with GESIS. After the peer-review process is completed and the associated manuscript is published, the access conditions will be updated to open access.\r\n\r\nNote to Reviewers:\r\nIf you are a reviewer and would like to access the dataset, please email GESIS and request access. Registration with GESIS is required.\r\n\r\n\r\nDescription of attached files:\r\n\r\nDataset_Brea_Martinez-Collado_&_Jauernig_LandMarketsGermanSurvey.csv\r\n→ Contains anonymized survey data (one row per respondent).\r\n\r\nCodebook_Brea_Martinez-Collado_&_Jauernig_LandMarketsGermanSurvey.pdf\r\n→ Describes all variables, labels, and response frequencies.\r\n\r\nStudy_Description_Brea_Martinez-Collado_&_Jauernig_LandMarketsGermanSurvey.pdf\r\n→ Explains study purpose, design, sampling, and fieldwork.\r\n\r\nSurvey_Experiment_Brea_Martinez-Collado_&_Jauernig_LandMarketsGermanSurvey.pdf\r\n→ Original German-language survey instrument (Qualtrics format).\r\n\r\nSurvey_Experiment_Brea_Martinez-Collado_&_Jauernig_LandMarkets_EnglishTranslation.pdf\r\n→ Full English translation of the German survey." } }},{"_index":"soda-2026-05-07-06-20-01","_id":"2873.json","_score":1.0,"_ignored":["abstract.pref.raw","projectNotes.en.raw","abstract.en.raw","projectNotes.de.raw","abstract.de.raw","projectNotes.pref.raw"],"_source":{ "abstract" : { "pref" : "This dataset originates from a cross-national survey on public perceptions of income distribution in the food supply chain, conducted in Germany (n = 1,495) and the United States (n = 1,190) in February 2025. The study investigates how citizens evaluate the fairness of transactions between supply chain actors, their preferences for redistributing value among these actors, and their willingness to support and pay for interventions aimed at improving farmers' positions. Respondents assessed four stylized transactions covering the full supply chain (from input providers to consumers), and completed scenario-based measures of fairness, power, and valuation principles (e.g., labor vs. market-based pricing). The survey also captured support for public regulation (price floors) and private initiatives (labeling schemes), alongside attitudinal variables such as views on markets, middlemen, and agricultural policy. The dataset enables analysis of economic fairness perceptions, food system governance preferences, and behavioral responses to redistributive scenarios. It supports research in behavioral economics, agricultural and food policy, economic sociology, and political economy.", "de" : "This dataset originates from a cross-national survey on public perceptions of income distribution in the food supply chain, conducted in Germany (n = 1,495) and the United States (n = 1,190) in February 2025. The study investigates how citizens evaluate the fairness of transactions between supply chain actors, their preferences for redistributing value among these actors, and their willingness to support and pay for interventions aimed at improving farmers' positions. Respondents assessed four stylized transactions covering the full supply chain (from input providers to consumers), and completed scenario-based measures of fairness, power, and valuation principles (e.g., labor vs. market-based pricing). The survey also captured support for public regulation (price floors) and private initiatives (labeling schemes), alongside attitudinal variables such as views on markets, middlemen, and agricultural policy. The dataset enables analysis of economic fairness perceptions, food system governance preferences, and behavioral responses to redistributive scenarios. It supports research in behavioral economics, agricultural and food policy, economic sociology, and political economy.", "en" : "This dataset originates from a cross-national survey on public perceptions of income distribution in the food supply chain, conducted in Germany (n = 1,495) and the United States (n = 1,190) in February 2025. The study investigates how citizens evaluate the fairness of transactions between supply chain actors, their preferences for redistributing value among these actors, and their willingness to support and pay for interventions aimed at improving farmers' positions. Respondents assessed four stylized transactions covering the full supply chain (from input providers to consumers), and completed scenario-based measures of fairness, power, and valuation principles (e.g., labor vs. market-based pricing). The survey also captured support for public regulation (price floors) and private initiatives (labeling schemes), alongside attitudinal variables such as views on markets, middlemen, and agricultural policy. The dataset enables analysis of economic fairness perceptions, food system governance preferences, and behavioral responses to redistributive scenarios. It supports research in behavioral economics, agricultural and food policy, economic sociology, and political economy." }, "collectionModes" : [ { "label" : { "pref" : "Eigenständig auszufüllender Fragebogen", "de" : "Eigenständig auszufüllender Fragebogen", "en" : "Self-administered questionnaire" } } ], "collections" : [ "IAMO - Leibniz Institute of Agricultural Development in Transition Economies" ], "contributions" : [ { "type" : [ "Contribution" ], "agent" : { "type" : [ "Person" ], "uri" : "info:searchapp/vocab/adhoc/QnJlYSBNYXJ0aW5lei1Db2xsYWRvLCBTYW11ZWw=", "label" : "Brea Martinez-Collado, Samuel", "affiliation" : { "uri" : "info:searchapp/vocab/adhoc/SUFNTyAtIExlaWJuaXogSW5zdGl0dXRlIG9mIEFncmljdWx0dXJhbCBEZXZlbG9wbWVudCBpbiBUcmFuc2l0aW9uIEVjb25vbWllcw==", "label" : { "pref" : "IAMO - Leibniz Institute of Agricultural Development in Transition Economies", "de" : "IAMO - Leibniz Institute of Agricultural Development in Transition Economies", "en" : "IAMO - Leibniz Institute of Agricultural Development in Transition Economies" } } }, "role" : [ ] }, { "type" : [ "Contribution" ], "agent" : { "type" : [ "Person" ], "uri" : "info:searchapp/vocab/adhoc/SmF1ZXJuaWcsIEpvaGFubmE=", "label" : "Jauernig, Johanna", "affiliation" : { "uri" : "info:searchapp/vocab/adhoc/Q2VudGVyIGZvciBFdGhpY3MgYW5kIFB1YmxpYyBBZmZhaXJzIC0gVGhlIE11cnBoeSBJbnN0aXR1dGUsIFR1bGFuZSBVbml2ZXJzaXR5", "label" : { "pref" : "Center for Ethics and Public Affairs - The Murphy Institute, Tulane University", "de" : "Center for Ethics and Public Affairs - The Murphy Institute, Tulane University", "en" : "Center for Ethics and Public Affairs - The Murphy Institute, Tulane University" } } }, "role" : [ ] }, { "type" : [ "Contribution" ], "agent" : { "type" : [ "Person" ], "uri" : "info:searchapp/vocab/adhoc/TWFsb25lLCBUcmV5", "label" : "Malone, Trey", "affiliation" : { "uri" : "info:searchapp/vocab/adhoc/Q2VudGVyIGZvciBGb29kIGFuZCBBZ3JpY3VsdHVyYWwgQnVzaW5lc3MsIFB1cmR1ZSBVbml2ZXJzaXR5", "label" : { "pref" : "Center for Food and Agricultural Business, Purdue University", "de" : "Center for Food and Agricultural Business, Purdue University", "en" : "Center for Food and Agricultural Business, Purdue University" } } }, "role" : [ ] } ], "describedBy" : { "uri" : "https://api.vitrine.gesis.org/search/soda/_doc/2873.json", "type" : "ResearchData", "modifiedBy" : { "uri" : "https://searchapp-indexer", "label" : { "pref" : "Searchapp Indexer" }, "dateCreated" : "2026-05-07T06:20:55.988+02:00", "dateModified" : "2026-05-07T06:20:55.988+02:00", "inDataset" : { "uri" : "https://git.gesis.org/datorium/soda-index-data" }, "resultOf" : { "type" : [ "CreateAction" ], "endTime" : "2026-05-07T06:20:55.988+02:00", "instrument" : { "uri" : "https://git.gesis.org/datorium/searchapp-indexer", "type" : [ "SoftwareApplication" ], "label" : "Searchapp Indexer" }, "srcObject" : { "uri" : "https://git.gesis.org/datorium/soda-index-data/-/blob/main/data/2873.json", "type" : [ "DataFeedItem" ], "inDataset" : { "uri" : "https://git.gesis.org/datorium/soda-index-data", "label" : "raw data" } } } } }, "documentId" : "2873", "geographicCoverages" : [ { "geographicCoveragesFree" : { "pref" : "Vereinigte Staaten von Amerika / US", "de" : "Vereinigte Staaten von Amerika / US", "en" : "Vereinigte Staaten von Amerika / US" } }, { "geographicCoveragesFree" : { "pref" : "Deutschland / DE", "de" : "Deutschland / DE", "en" : "Deutschland / DE" } } ], "handles" : [ { "type" : "DOI", "notation" : "10.7802/2873", "url" : "https://doi.org/10.7802/2873", "source" : { "uri" : "info:searchapp/vocab/soda", "label" : "SowiDataNet" } } ], "issuers" : [ { "uri" : "info:searchapp/vocab/adhoc/SUFNTyAtIExlaWJuaXotSW5zdGl0dXQgZsO8ciBBZ3JhcmVudHdpY2tsdW5nIGluIFRyYW5zZm9ybWF0aW9uc8O2a29ub21pZW4=", "label" : { "pref" : "IAMO - 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Leibniz Institut für Sozialwissenschaften", "en" : "GESIS - Leibniz Institute for the Social Sciences" }, "url" : "https://www.gesis.org/" }, "calculatedTemporalCoverage" : { "label" : "2025", "dates" : [ "2025" ] }, "projectNotes" : { "pref" : "Access conditions: This dataset is currently published under restricted access to facilitate the peer-review process. Access is temporarily limited to reviewers upon request and registration with GESIS. After the peer-review process is completed and the associated manuscript is published, the access conditions will be updated to open access. Note to Reviewers: If you are a reviewer and would like to access the dataset, please email GESIS and request access. \r\n\r\nRespondents were recruited via Dynata's online panel using non-probability quota sampling. Quotas were based on national benchmarks for age, gender, income, education, and region. The survey was conducted online via QualtricsXM and included quality control measures such as attention checks and fraud detection. The instrument was pre-registered and GDPR-compliant.\r\n\r\nCodebook_Brea_Jauernig_Malone_SupplyChainRedistribution2025.pdf\r\n-> Contains variable definitions, value labels, response options used in the survey dataset and univariate statistics, separately for Germany and USA.\r\n\r\nDataset_SupplyChainRedistribution_GER_BreaJauernigMalone.csv\r\n-> Anonymized raw survey data from the German sample (n = 1,495), in wide format.\r\n\r\nDataset_SupplyChainRedistribution_USA_BreaJauernigMalone.csv\r\n-> Anonymized raw survey data from the U.S. sample (n = 1,190), in wide format.\r\n\r\nStudyDescription_SupplyChainRedistribution_BreaJauernigMalone.pdf\r\n-> Summarizes the study’s objectives, methodology, sample structure, and data collection process.\r\n\r\nSurveyTranscript_SupplyChainRedistribution_English_BreaJauernigMalone.pdf\r\n-> Full English-language version of the implemented Qualtrics survey, including block structure and logic.\r\n\r\nSurveyTranscript_SupplyChainRedistribution_German_BreaJauernigMalone.pdf\r\n-> Full German-language version of the implemented Qualtrics survey, including block structure and logic.\r\n\r\n­RData_Brea_Jauernig_Malone_SupplyChainRedistribution2025.r\r\n-> The R script used to import data from csv, assign variable and value labels, and save as R data file.\r\n\r\nRData_Brea_Jauernig_Malone_SupplyChainRedistribution2025.Rds\r\n-> The merged dataset combining both US and German samples in wide format, prepared for analysis and fully consistent with the accompanying codebook.", "de" : "Access conditions: This dataset is currently published under restricted access to facilitate the peer-review process. Access is temporarily limited to reviewers upon request and registration with GESIS. After the peer-review process is completed and the associated manuscript is published, the access conditions will be updated to open access. Note to Reviewers: If you are a reviewer and would like to access the dataset, please email GESIS and request access. \r\n\r\nRespondents were recruited via Dynata's online panel using non-probability quota sampling. Quotas were based on national benchmarks for age, gender, income, education, and region. The survey was conducted online via QualtricsXM and included quality control measures such as attention checks and fraud detection. The instrument was pre-registered and GDPR-compliant.\r\n\r\nCodebook_Brea_Jauernig_Malone_SupplyChainRedistribution2025.pdf\r\n-> Contains variable definitions, value labels, response options used in the survey dataset and univariate statistics, separately for Germany and USA.\r\n\r\nDataset_SupplyChainRedistribution_GER_BreaJauernigMalone.csv\r\n-> Anonymized raw survey data from the German sample (n = 1,495), in wide format.\r\n\r\nDataset_SupplyChainRedistribution_USA_BreaJauernigMalone.csv\r\n-> Anonymized raw survey data from the U.S. sample (n = 1,190), in wide format.\r\n\r\nStudyDescription_SupplyChainRedistribution_BreaJauernigMalone.pdf\r\n-> Summarizes the study’s objectives, methodology, sample structure, and data collection process.\r\n\r\nSurveyTranscript_SupplyChainRedistribution_English_BreaJauernigMalone.pdf\r\n-> Full English-language version of the implemented Qualtrics survey, including block structure and logic.\r\n\r\nSurveyTranscript_SupplyChainRedistribution_German_BreaJauernigMalone.pdf\r\n-> Full German-language version of the implemented Qualtrics survey, including block structure and logic.\r\n\r\n­RData_Brea_Jauernig_Malone_SupplyChainRedistribution2025.r\r\n-> The R script used to import data from csv, assign variable and value labels, and save as R data file.\r\n\r\nRData_Brea_Jauernig_Malone_SupplyChainRedistribution2025.Rds\r\n-> The merged dataset combining both US and German samples in wide format, prepared for analysis and fully consistent with the accompanying codebook.", "en" : "Access conditions: This dataset is currently published under restricted access to facilitate the peer-review process. Access is temporarily limited to reviewers upon request and registration with GESIS. After the peer-review process is completed and the associated manuscript is published, the access conditions will be updated to open access. Note to Reviewers: If you are a reviewer and would like to access the dataset, please email GESIS and request access. \r\n\r\nRespondents were recruited via Dynata's online panel using non-probability quota sampling. Quotas were based on national benchmarks for age, gender, income, education, and region. The survey was conducted online via QualtricsXM and included quality control measures such as attention checks and fraud detection. The instrument was pre-registered and GDPR-compliant.\r\n\r\nCodebook_Brea_Jauernig_Malone_SupplyChainRedistribution2025.pdf\r\n-> Contains variable definitions, value labels, response options used in the survey dataset and univariate statistics, separately for Germany and USA.\r\n\r\nDataset_SupplyChainRedistribution_GER_BreaJauernigMalone.csv\r\n-> Anonymized raw survey data from the German sample (n = 1,495), in wide format.\r\n\r\nDataset_SupplyChainRedistribution_USA_BreaJauernigMalone.csv\r\n-> Anonymized raw survey data from the U.S. sample (n = 1,190), in wide format.\r\n\r\nStudyDescription_SupplyChainRedistribution_BreaJauernigMalone.pdf\r\n-> Summarizes the study’s objectives, methodology, sample structure, and data collection process.\r\n\r\nSurveyTranscript_SupplyChainRedistribution_English_BreaJauernigMalone.pdf\r\n-> Full English-language version of the implemented Qualtrics survey, including block structure and logic.\r\n\r\nSurveyTranscript_SupplyChainRedistribution_German_BreaJauernigMalone.pdf\r\n-> Full German-language version of the implemented Qualtrics survey, including block structure and logic.\r\n\r\n­RData_Brea_Jauernig_Malone_SupplyChainRedistribution2025.r\r\n-> The R script used to import data from csv, assign variable and value labels, and save as R data file.\r\n\r\nRData_Brea_Jauernig_Malone_SupplyChainRedistribution2025.Rds\r\n-> The merged dataset combining both US and German samples in wide format, prepared for analysis and fully consistent with the accompanying codebook." } }},{"_index":"soda-2026-05-07-06-20-01","_id":"2981.json","_score":1.0,"_ignored":["abstract.pref.raw","projectNotes.en.raw","abstract.en.raw","projectNotes.de.raw","abstract.de.raw","projectNotes.pref.raw"],"_source":{ "abstract" : { "pref" : "The data originate from an online survey conducted among managers of Ukrainian agricultural enterprises in December 2024 and January 2025. The population of interest comprises the legally registered agricultural enterprises in Ukraine. Topics addressed are sustainable farming activities, ESG reporting particularly with environmental focus, and green agricultural lending programs. The survey instrument contains a stated choice experiment in which participants chose among alternative green lending schemes characterized by attributes on environmental reporting, and monetary as well as non-monetary benefits of the respective schemes. In addition, the survey instrument contains 23 closed form items addressing knowledge about and attitudes towards sustainable agricultural practices, ESG- and particularly environmental reporting, green-lending schemes, and some farm structural information.\r\nRequests to participate were emailed to 16,000 agricultural enterprises from all regions of Ukraine, except warfare zones and occupied territories by the agricultural accountancy service provider Uteka, Kyiv. The data are partially cleaned and comprise responses of 210 participants.", "de" : "The data originate from an online survey conducted among managers of Ukrainian agricultural enterprises in December 2024 and January 2025. The population of interest comprises the legally registered agricultural enterprises in Ukraine. Topics addressed are sustainable farming activities, ESG reporting particularly with environmental focus, and green agricultural lending programs. The survey instrument contains a stated choice experiment in which participants chose among alternative green lending schemes characterized by attributes on environmental reporting, and monetary as well as non-monetary benefits of the respective schemes. In addition, the survey instrument contains 23 closed form items addressing knowledge about and attitudes towards sustainable agricultural practices, ESG- and particularly environmental reporting, green-lending schemes, and some farm structural information.\r\nRequests to participate were emailed to 16,000 agricultural enterprises from all regions of Ukraine, except warfare zones and occupied territories by the agricultural accountancy service provider Uteka, Kyiv. The data are partially cleaned and comprise responses of 210 participants.", "en" : "The data originate from an online survey conducted among managers of Ukrainian agricultural enterprises in December 2024 and January 2025. The population of interest comprises the legally registered agricultural enterprises in Ukraine. Topics addressed are sustainable farming activities, ESG reporting particularly with environmental focus, and green agricultural lending programs. The survey instrument contains a stated choice experiment in which participants chose among alternative green lending schemes characterized by attributes on environmental reporting, and monetary as well as non-monetary benefits of the respective schemes. In addition, the survey instrument contains 23 closed form items addressing knowledge about and attitudes towards sustainable agricultural practices, ESG- and particularly environmental reporting, green-lending schemes, and some farm structural information.\r\nRequests to participate were emailed to 16,000 agricultural enterprises from all regions of Ukraine, except warfare zones and occupied territories by the agricultural accountancy service provider Uteka, Kyiv. The data are partially cleaned and comprise responses of 210 participants." }, "collectionModes" : [ { "label" : { "pref" : "Web-basiertes Experiment", "de" : "Web-basiertes Experiment", "en" : "Web-based experiment" } }, { "label" : { "pref" : "Selbstausfüller:CAWI(Computerunterstütztes Web-Interview)", "de" : "Selbstausfüller:CAWI(Computerunterstütztes Web-Interview)", "en" : "Self-administered questionnaire:CAWI(Computer-assisted web interviewing)" } } ], "collections" : [ "IAMO - Leibniz Institute of Agricultural Development in Transition Economies" ], "contributions" : [ { "type" : [ "Contribution" ], "agent" : { "type" : [ "Person" ], "uri" : "info:searchapp/vocab/adhoc/TWV0ZWx5dHNpYSwgVm9sb2R5bXly", "label" : "Metelytsia, Volodymyr", "affiliation" : { "uri" : "info:searchapp/vocab/adhoc/SUFNTywgSGFsbGUsIEdlcm1hbnksIFN0YXRlIFRheCBVbml2ZXJzaXR5LCBJcnBpbiwgVWtyYWluZQ==", "label" : { "pref" : "IAMO, Halle, Germany, State Tax University, Irpin, Ukraine", "de" : "IAMO, Halle, Germany, State Tax University, Irpin, Ukraine", "en" : "IAMO, Halle, Germany, State Tax University, Irpin, Ukraine" } } }, "role" : [ ] }, { "type" : [ "Contribution" ], "agent" : { "type" : [ "Person" ], "uri" : "info:searchapp/vocab/adhoc/R2FnYWx5dWssIFRhcmFz", "label" : "Gagalyuk, Taras", "affiliation" : { "uri" : "info:searchapp/vocab/adhoc/SUFNTywgSGFsbGUsIEdlcm1hbnk=", "label" : { "pref" : "IAMO, Halle, Germany", "de" : "IAMO, Halle, Germany", "en" : "IAMO, Halle, Germany" } } }, "role" : [ ] }, { "type" : [ "Contribution" ], "agent" : { "type" : [ "Person" ], "uri" : "info:searchapp/vocab/adhoc/R290dGxpZWIsIFVsaWFuYQ==", "label" : "Gottlieb, Uliana", "affiliation" : { "uri" : "info:searchapp/vocab/adhoc/U3dlZGlzaCBVbml2ZXJzaXR5IG9mIEFncmljdWx0dXJhbCBTY2llbmNlcywgVXBwc2FsYSwgU3dlZGVu", "label" : { "pref" : "Swedish University of Agricultural Sciences, Uppsala, Sweden", "de" : "Swedish University of Agricultural Sciences, Uppsala, Sweden", "en" : "Swedish University of Agricultural Sciences, Uppsala, Sweden" } } }, "role" : [ ] }, { "type" : [ "Contribution" ], "agent" : { "type" : [ "Person" ], "uri" : "info:searchapp/vocab/adhoc/QnJvc2lnLCBTdGVwaGFu", "label" : "Brosig, Stephan", "affiliation" : { "uri" : "info:searchapp/vocab/adhoc/SUFNTywgSGFsbGUsIEdlcm1hbnk=", "label" : { "pref" : "IAMO, Halle, Germany", "de" : "IAMO, Halle, Germany", "en" : "IAMO, Halle, Germany" } } }, "role" : [ ] } ], "describedBy" : { "uri" : "https://api.vitrine.gesis.org/search/soda/_doc/2981.json", "type" : "ResearchData", "modifiedBy" : { "uri" : "https://searchapp-indexer", "label" : { "pref" : "Searchapp Indexer" }, "dateCreated" : "2026-05-07T06:20:58.089+02:00", "dateModified" : "2026-05-07T06:20:58.089+02:00", "inDataset" : { "uri" : "https://git.gesis.org/datorium/soda-index-data" }, "resultOf" : { "type" : [ "CreateAction" ], "endTime" : "2026-05-07T06:20:58.089+02:00", "instrument" : { "uri" : "https://git.gesis.org/datorium/searchapp-indexer", "type" : [ "SoftwareApplication" ], "label" : "Searchapp Indexer" }, "srcObject" : { "uri" : "https://git.gesis.org/datorium/soda-index-data/-/blob/main/data/2981.json", "type" : [ "DataFeedItem" ], "inDataset" : { "uri" : "https://git.gesis.org/datorium/soda-index-data", "label" : "raw data" } } } } }, "documentId" : "2981", "geographicCoverages" : [ { "geographicCoveragesFree" : { "pref" : "Ukraine / UA", "de" : "Ukraine / UA", "en" : "Ukraine / UA" } } ], "handles" : [ { "type" : "DOI", "notation" : "10.7802/2981", "url" : "https://doi.org/10.7802/2981", "source" : { "uri" : "info:searchapp/vocab/soda", "label" : "SowiDataNet" } } ], "issuers" : [ { "uri" : "info:searchapp/vocab/adhoc/SUFNTyAtIExlaWJuaXotSW5zdGl0dXQgZsO8ciBBZ3JhcmVudHdpY2tsdW5nIGluIFRyYW5zZm9ybWF0aW9uc8O2a29ub21pZW4=", "label" : { "pref" : "IAMO - Leibniz-Institut für Agrarentwicklung in Transformationsökonomien", "de" : "IAMO - Leibniz-Institut für Agrarentwicklung in Transformationsökonomien", "en" : "IAMO - Leibniz Institute of Agricultural Development in Transition Economies" } } ], "natureOfContents" : [ { "uri" : "info:searchapp/vocab/researchData", "label" : { "pref" : "researchData", "de" : "researchData", "en" : "researchData" } } ], "publications" : [ { "type" : [ "PublicationEvent" ], "startDate" : "2026" } ], "sampling" : { "method" : { "pref" : "Nicht-Wahrscheinlichkeitsauswahl - Willkürliche Auswahl", "de" : "Nicht-Wahrscheinlichkeitsauswahl - Willkürliche Auswahl", "en" : "Non-probability Sample - Availability Sample" } }, "subjects" : [ { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/VW50ZXJuZWhtZW5zZsO8aHJ1bmcgdW5kIFVudGVybmVobWVuc29yZ2FuaXNhdGlvbg==", "notation" : "", "label" : { "pref" : "Unternehmensführung und Unternehmensorganisation", "de" : "Unternehmensführung und Unternehmensorganisation", "en" : "Management and business organization" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/TmFjaGhhbHRpZ2UgS2FwaXRhbGFubGFnZQ==", "notation" : "", "source" : { "uri" : "https://zbw.eu/stw/version/latest/about", "label" : "STW" }, "label" : { "pref" : "Nachhaltige Kapitalanlage", "de" : "Nachhaltige Kapitalanlage", "en" : "Nachhaltige Kapitalanlage" } }, { "type" : [ "SubjectHeading" ], "uri" : "info:searchapp/vocab/adhoc/TmFjaGhhbHRpZ2tlaXRzYmVyaWNodA==", "notation" : "", "source" : { "uri" : "https://zbw.eu/stw/version/latest/about", "label" : "STW" }, "label" : { "pref" : "Nachhaltigkeitsbericht", "de" : "Nachhaltigkeitsbericht", "en" : "Nachhaltigkeitsbericht" } } ], "temporalCoverages" : [ { "startDate" : "2024-12", "endDate" : "2025-01", "labels" : [ ] } ], "timeDimensions" : [ { "timeDimensionsFree" : { "pref" : "Querschnitt", "de" : "Querschnitt", "en" : "cross-section" } } ], "title" : { "pref" : "Survey data on sustainable farming, ESG reporting, and green loan schemes in Ukraine", "de" : "Survey data on sustainable farming, ESG reporting, and green loan schemes in Ukraine", "en" : "Survey data on sustainable farming, ESG reporting, and green loan schemes in Ukraine" }, "universe" : { "sampled" : { "pref" : "legally registered agricultural enterprises in Ukraine", "de" : "legally registered agricultural enterprises in Ukraine", "en" : "legally registered agricultural enterprises in Ukraine" } }, "uri" : "https://doi.org/10.7802/2981", "searchappPublisher" : { "shortName" : "GESIS", "name" : { "de" : "GESIS - 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Please use the button to request individual access.\r\n\r\nThe R-format versions (cleaned, labelled) of the data can be reproduced using the R-code provided in the zipped file UkrASR_R-code.zip. Unpacking it restores a directory containing the R-code files required. One of these files, the \"steering\" code file _UkrASR_steer.r explains five steps to launching the replication process.", "de" : "Data are preliminarily under restricted access and will be made available currently to reviewers only. Please use the button to request individual access.\r\n\r\nThe R-format versions (cleaned, labelled) of the data can be reproduced using the R-code provided in the zipped file UkrASR_R-code.zip. Unpacking it restores a directory containing the R-code files required. 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countries on province level" } }, "uri" : "https://doi.org/10.7802/2718", "searchappPublisher" : { "shortName" : "GESIS", "name" : { "de" : "GESIS - Leibniz Institut für Sozialwissenschaften", "en" : "GESIS - Leibniz Institute for the Social Sciences" }, "url" : "https://www.gesis.org/" }, "calculatedTemporalCoverage" : { "label" : "2018 - 2019", "dates" : [ "2018", "2019" ] }, "projectNotes" : { "pref" : "Financial support by the German Federal Ministry of Education and Research (BMBF) is gratefully acknowledged. The authors are thankful to the ANICANET country teams for their contribution to collecting this data and Rustam Rakhmetov for consolidating and cleaning the final dataset. The teams were led by Dauren Oshakbayev (Kazakhstan), Roman Mogilevskii (Kyrgyzstan), Khojamahmad Umarov (Tajikistan), Gurbanmyrat Ovezmuradov (Turkmenistan) and Yuliy Yusupov (Uzbekistan).", "de" : "Financial support by the German Federal Ministry of Education and Research (BMBF) is gratefully acknowledged. The authors are thankful to the ANICANET country teams for their contribution to collecting this data and Rustam Rakhmetov for consolidating and cleaning the final dataset. The teams were led by Dauren Oshakbayev (Kazakhstan), Roman Mogilevskii (Kyrgyzstan), Khojamahmad Umarov (Tajikistan), Gurbanmyrat Ovezmuradov (Turkmenistan) and Yuliy Yusupov (Uzbekistan).", "en" : "Financial support by the German Federal Ministry of Education and Research (BMBF) is gratefully acknowledged. The authors are thankful to the ANICANET country teams for their contribution to collecting this data and Rustam Rakhmetov for consolidating and cleaning the final dataset. The teams were led by Dauren Oshakbayev (Kazakhstan), Roman Mogilevskii (Kyrgyzstan), Khojamahmad Umarov (Tajikistan), Gurbanmyrat Ovezmuradov (Turkmenistan) and Yuliy Yusupov (Uzbekistan)." } }},{"_index":"soda-2026-05-07-06-20-01","_id":"1962.json","_score":1.0,"_ignored":["abstract.pref.raw","abstract.en.raw","abstract.de.raw"],"_source":{ "abstract" : { "pref" : "Im Rahmen einer Online Befragung wurden auf Basis eines standardisierten Fragebogens vom 22. Juli bis 21. Oktober 2017 insbesondere Mitarbeiter und Inhaber landwirtschaftlicher Betriebe gebeten, die Aktivitäten und Erfahrungen ihres Betriebes zum Thema „Gesellschaftliche Leistungen der Landwirtschaft“ darzustellen. Eine kurze Information zur Befragung und der Link zum Online Fragebogen wurde auf der Website der Praxiszeitschrift Topagrar (31. September 2017) und auf dem Blog „Bauer Willi“ (08. August 2017) veröffentlicht. Darüber hinaus wurden keine weiteren Aktivitäten unternommen, um auf die Befragung aufmerksam zu machen. Mehrfaches Ausfüllen des Online Fragebogens von derselben IP-Adresse aus wurde unterbunden, um Manipulation der Befragung durch einzelne Teilnehmer zu erschweren; darüber hinaus gab es keine Einflussnahme auf die Teilnahme. Der Fragebogen beinhaltet überwiegend geschlossene Fragen, bei einigen der Fragen waren Mehrfachantworten und/oder offene Antworten möglich. Es wurden Ja/Nein Fragen und mehrstufige Skalenfragen (überwiegend 4 stufig) verwendet. Der Fragebogen gliedert sich in die fünf Abschnitte A bis E: Abschnitt A “Bedeutung Gesellschaftlicher Leistungen (Corporate Social Responsibility-CSR) der Landwirtschaft“, Abschnitt B “Gesellschaftliche Leistungen des Betriebes (CSR-Maßnahmen)“, Abschnitt C „Zielgruppen und Kommunikation Gesellschaftlicher Leistungen (CSR), Abschnitt D „Effekte Gesellschaftlicher Leistungen und Abschnitt E „Angaben zum landwirtschaftlichen Unternehmen und Interviewpartner“.\r\nIn Abschnitt A konnten bis Frage 3 (Seite 2) sowohl Mitarbeiter und /oder Inhaber landwirtschaftlicher Betriebe (nachfolgend Landwirte) als auch die breite Öffentlichkeit an der Umfrage teilnehmen. Die Filterfrage 4 stellt dann sicher, dass nur Landwirte an der weiteren Befragung im restlichen Abschnitt A bis Abschnitt E teilnehmen können. Vor der Erhebung wurde der Fragebogen im Pretest bei drei landwirtschaftlichen Unternehmen mit Blick auf die Relevanz und Vollständigkeit der ausgewählten Indikatorensets für die betriebliche Praxis, die Verständlichkeit der Fragen und die Angemessenheit von Skalierung und Fragenformaten getestet. Neben 215 Antwortsätzen von Landwirten wurden für die ersten drei Fragen des Abschnittes A, bei denen es allgemein um gesellschaftliche Beiträge der Landwirtschaft und deren Wahrnehmung ging, weitere 108 Antwortsätze von Nichtlandwirten erhoben. Diese sind im Datensatz nicht enthalten. Wegen unzureichender Angaben bzw. inhaltlicher Widersprüchlichkeiten wurden neun der Antwortsätze von Landwirten von der Auswertung und Publikation ausgenommen, so dass der Datensatz die Antwortsätze von 206 Landwirten enthält.", "de" : "Im Rahmen einer Online Befragung wurden auf Basis eines standardisierten Fragebogens vom 22. Juli bis 21. Oktober 2017 insbesondere Mitarbeiter und Inhaber landwirtschaftlicher Betriebe gebeten, die Aktivitäten und Erfahrungen ihres Betriebes zum Thema „Gesellschaftliche Leistungen der Landwirtschaft“ darzustellen. Eine kurze Information zur Befragung und der Link zum Online Fragebogen wurde auf der Website der Praxiszeitschrift Topagrar (31. September 2017) und auf dem Blog „Bauer Willi“ (08. August 2017) veröffentlicht. Darüber hinaus wurden keine weiteren Aktivitäten unternommen, um auf die Befragung aufmerksam zu machen. Mehrfaches Ausfüllen des Online Fragebogens von derselben IP-Adresse aus wurde unterbunden, um Manipulation der Befragung durch einzelne Teilnehmer zu erschweren; darüber hinaus gab es keine Einflussnahme auf die Teilnahme. Der Fragebogen beinhaltet überwiegend geschlossene Fragen, bei einigen der Fragen waren Mehrfachantworten und/oder offene Antworten möglich. Es wurden Ja/Nein Fragen und mehrstufige Skalenfragen (überwiegend 4 stufig) verwendet. Der Fragebogen gliedert sich in die fünf Abschnitte A bis E: Abschnitt A “Bedeutung Gesellschaftlicher Leistungen (Corporate Social Responsibility-CSR) der Landwirtschaft“, Abschnitt B “Gesellschaftliche Leistungen des Betriebes (CSR-Maßnahmen)“, Abschnitt C „Zielgruppen und Kommunikation Gesellschaftlicher Leistungen (CSR), Abschnitt D „Effekte Gesellschaftlicher Leistungen und Abschnitt E „Angaben zum landwirtschaftlichen Unternehmen und Interviewpartner“.\r\nIn Abschnitt A konnten bis Frage 3 (Seite 2) sowohl Mitarbeiter und /oder Inhaber landwirtschaftlicher Betriebe (nachfolgend Landwirte) als auch die breite Öffentlichkeit an der Umfrage teilnehmen. Die Filterfrage 4 stellt dann sicher, dass nur Landwirte an der weiteren Befragung im restlichen Abschnitt A bis Abschnitt E teilnehmen können. Vor der Erhebung wurde der Fragebogen im Pretest bei drei landwirtschaftlichen Unternehmen mit Blick auf die Relevanz und Vollständigkeit der ausgewählten Indikatorensets für die betriebliche Praxis, die Verständlichkeit der Fragen und die Angemessenheit von Skalierung und Fragenformaten getestet. Neben 215 Antwortsätzen von Landwirten wurden für die ersten drei Fragen des Abschnittes A, bei denen es allgemein um gesellschaftliche Beiträge der Landwirtschaft und deren Wahrnehmung ging, weitere 108 Antwortsätze von Nichtlandwirten erhoben. Diese sind im Datensatz nicht enthalten. Wegen unzureichender Angaben bzw. inhaltlicher Widersprüchlichkeiten wurden neun der Antwortsätze von Landwirten von der Auswertung und Publikation ausgenommen, so dass der Datensatz die Antwortsätze von 206 Landwirten enthält.", "en" : "Im Rahmen einer Online Befragung wurden auf Basis eines standardisierten Fragebogens vom 22. Juli bis 21. Oktober 2017 insbesondere Mitarbeiter und Inhaber landwirtschaftlicher Betriebe gebeten, die Aktivitäten und Erfahrungen ihres Betriebes zum Thema „Gesellschaftliche Leistungen der Landwirtschaft“ darzustellen. Eine kurze Information zur Befragung und der Link zum Online Fragebogen wurde auf der Website der Praxiszeitschrift Topagrar (31. September 2017) und auf dem Blog „Bauer Willi“ (08. August 2017) veröffentlicht. Darüber hinaus wurden keine weiteren Aktivitäten unternommen, um auf die Befragung aufmerksam zu machen. Mehrfaches Ausfüllen des Online Fragebogens von derselben IP-Adresse aus wurde unterbunden, um Manipulation der Befragung durch einzelne Teilnehmer zu erschweren; darüber hinaus gab es keine Einflussnahme auf die Teilnahme. Der Fragebogen beinhaltet überwiegend geschlossene Fragen, bei einigen der Fragen waren Mehrfachantworten und/oder offene Antworten möglich. Es wurden Ja/Nein Fragen und mehrstufige Skalenfragen (überwiegend 4 stufig) verwendet. Der Fragebogen gliedert sich in die fünf Abschnitte A bis E: Abschnitt A “Bedeutung Gesellschaftlicher Leistungen (Corporate Social Responsibility-CSR) der Landwirtschaft“, Abschnitt B “Gesellschaftliche Leistungen des Betriebes (CSR-Maßnahmen)“, Abschnitt C „Zielgruppen und Kommunikation Gesellschaftlicher Leistungen (CSR), Abschnitt D „Effekte Gesellschaftlicher Leistungen und Abschnitt E „Angaben zum landwirtschaftlichen Unternehmen und Interviewpartner“.\r\nIn Abschnitt A konnten bis Frage 3 (Seite 2) sowohl Mitarbeiter und /oder Inhaber landwirtschaftlicher Betriebe (nachfolgend Landwirte) als auch die breite Öffentlichkeit an der Umfrage teilnehmen. Die Filterfrage 4 stellt dann sicher, dass nur Landwirte an der weiteren Befragung im restlichen Abschnitt A bis Abschnitt E teilnehmen können. Vor der Erhebung wurde der Fragebogen im Pretest bei drei landwirtschaftlichen Unternehmen mit Blick auf die Relevanz und Vollständigkeit der ausgewählten Indikatorensets für die betriebliche Praxis, die Verständlichkeit der Fragen und die Angemessenheit von Skalierung und Fragenformaten getestet. Neben 215 Antwortsätzen von Landwirten wurden für die ersten drei Fragen des Abschnittes A, bei denen es allgemein um gesellschaftliche Beiträge der Landwirtschaft und deren Wahrnehmung ging, weitere 108 Antwortsätze von Nichtlandwirten erhoben. Diese sind im Datensatz nicht enthalten. Wegen unzureichender Angaben bzw. inhaltlicher Widersprüchlichkeiten wurden neun der Antwortsätze von Landwirten von der Auswertung und Publikation ausgenommen, so dass der Datensatz die Antwortsätze von 206 Landwirten enthält." }, "collectionModes" : [ { "label" : { "pref" : "Web-basiertes Interview", "de" : "Web-basiertes Interview", "en" : "Web-based interview" } } ], "collections" : [ "Continue without selection" ], "contributions" : [ { "type" : [ "Contribution" ], "agent" : { "type" : [ "Person" ], "uri" : "info:searchapp/vocab/adhoc/U2NoYWZ0LCBGcmFuemlza2E=", "label" : "Schaft, Franziska" }, "role" : [ ] }, { "type" : [ "Contribution" ], "agent" : { "type" : [ "Person" ], "uri" : "info:searchapp/vocab/adhoc/", "label" : "", "affiliation" : { "uri" : "info:searchapp/vocab/adhoc/TGVpYm5peiBJbnN0aXR1dGUgb2YgQWdyaWN1bHR1cmFsIERldmVsb3BtZW50IGluIFRyYW5zaXRpb24gRWNvbm9taWVzIChJQU1PKQ==", "label" : { "pref" : "Leibniz Institute of Agricultural Development in Transition Economies (IAMO)", "de" : "Leibniz Institute of Agricultural Development in Transition Economies (IAMO)", "en" : "Leibniz Institute of Agricultural Development in Transition Economies (IAMO)" } } }, "role" : [ ] } ], "describedBy" : { "uri" : "https://api.vitrine.gesis.org/search/soda/_doc/1962.json", "type" : "ResearchData", "modifiedBy" : { "uri" : "https://searchapp-indexer", "label" : { "pref" : "Searchapp Indexer" }, "dateCreated" : "2026-05-07T06:21:11.338+02:00", "dateModified" : "2026-05-07T06:21:11.338+02:00", "inDataset" : { "uri" : "https://git.gesis.org/datorium/soda-index-data" }, "resultOf" : { "type" : [ "CreateAction" ], "endTime" : "2026-05-07T06:21:11.338+02:00", "instrument" : { "uri" : "https://git.gesis.org/datorium/searchapp-indexer", "type" : [ "SoftwareApplication" ], "label" : "Searchapp Indexer" }, "srcObject" : { "uri" : "https://git.gesis.org/datorium/soda-index-data/-/blob/main/data/1962.json", "type" : [ "DataFeedItem" ], "inDataset" : { "uri" : "https://git.gesis.org/datorium/soda-index-data", "label" : "raw data" } } } } }, "documentId" : "1962", "geographicCoverages" : [ { "geographicCoveragesFree" : { "pref" : "Deutschland / DE", "de" : "Deutschland / DE", "en" : "Germany / DE" } } ], "handles" : [ { "type" : "DOI", "notation" : "10.7802/1962", "url" : "https://doi.org/10.7802/1962", "source" : { "uri" : "info:searchapp/vocab/soda", "label" : "SowiDataNet" } } ], "issuers" : [ { "uri" : "info:searchapp/vocab/adhoc/SUFNTyAtIExlaWJuaXotSW5zdGl0dXQgZsO8ciBBZ3JhcmVudHdpY2tsdW5nIGluIFRyYW5zZm9ybWF0aW9uc8O2a29ub21pZW4=", "label" : { "pref" : "IAMO - 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\r\n---------
\r\nDaten aus standardisierter Online-Befragung unter über 700 deutschen Landwirten (und Nichtlandwirten) zu ihren Präferenzen für staatliche Regulierung zum Schutz ortsansässiger Landwirte gegenüber Konkurrenz durch ortsfremde bzw. landwirtschaftsfremde Konkurrenten beim Landkauf auf landwirtschaftlichen Bodenmärkten. Detailliertere Beschreibung von Datengewinnung und Datensatz im Metadatendokument „Jauernig_LandmarketRegulation_DSDescription.pdf“ sowie im Befragungsinstrument „Jauernig_LandmarketRegulation_SurveyInstrument.pdf“. \r\n

\r\nDatengewinnung
\r\n--------------
\r\nRekrutierung zur Teilnahme an Online-Befragung mit standardisiertem Fragebogen durch E-Mail-Anschreiben von Landwirten über mehrere Adressenlisten (Agrarforschungseinrichtungen, Verbände, Kirchen), schwerpunktmäßig in NRW und Brandenburg. Nach Auswertung eines Pretests/Probebefragung und Rückmeldungen durch Landwirte und andere Fachleute wurde der endgültige \r\nFragebogen erstellt.
\r\nBefragungzeitraum: Februar bis Mai 2019
\r\n
\r\nFragebogenstruktur und -inhalt
\r\n------------------------------
\r\nFragebogen aus vier Teilen:
\r\n1) Einstellungsabfrage anhand von Szenarien: In Szenarienbeschreibungen werden Konkurrenzsituationen zwischen örtlichen Landwirten und auswärtigen bzw. außerlandwirtschaftlichen Konkurrenten um den Kauf landwirtschaftlicher Flächen dargestellt: TeilnehmerInnen werden nach ihren Präferenzen für Varianten staatlicher Regulierung mit unterschiedlich starker Protektion ortsansässiger Landwirte gegenüber den Konkurrenten befragt. Sie hatten aus einer Skala von 13 Antwortoptionen von unregulierter Transaktion über verschiedene Aufpreisforderungen bis hin zum strikten Verbot des Verkaufs an Konkurrenten auszuwählen. Fragebogenvarianten mit Unterschieden bzgl. der Beschreibung des Konkurrenten sowie der Rolle des Respondenten (Beobachter oder Verkäufer des Landes) wurden randomisiert zugewiesen. (2 Items)
\r\n2) Allgemeine (d.h. nicht szenarienspezifische) geschlossene Fragen über Haltungen zur derzeitigen sowie der gewünschten Regulierung des landwirtschaftlichen Grundstücksverkehrs. (10 Items)
\r\n3) Geschlossene Fragen über die Stellung der Landwirtschaft in der Gesellschaft und Volkswirtschaft, der Angemessenheit und ggf. Begründung einer bevorzugten Behandlung des Sektors. (7 Items)
\r\n4) Strukturdaten zum Landwirtschaftsbetrieb und zur Person des Respondenten.
\r\n
\r\nDatensatzbeschreibung
\r\n-----------------------
\r\nDer Gesamtdatensatz enthält 717 Beobachtungen (674 Landwirte, 43 Nichtlandwirte) und 73 Variablen. Die Variable B702 (Landkreis) wurde aus Gründen der Anonymisierung entfernt. Weitere Informationen über Datendichte und Datenqualität sind dem Dokument \"Jauernig_LandmarketRegulation_DSDescription.pdf\" und dem Codebook mit Verteilungsangaben auf Variablenebene (Jauernig_LandmarketRegulation_Codebook.pdf) zu entnehmen.", "de" : "Überblick
\r\n---------
\r\nDaten aus standardisierter Online-Befragung unter über 700 deutschen Landwirten (und Nichtlandwirten) zu ihren Präferenzen für staatliche Regulierung zum Schutz ortsansässiger Landwirte gegenüber Konkurrenz durch ortsfremde bzw. landwirtschaftsfremde Konkurrenten beim Landkauf auf landwirtschaftlichen Bodenmärkten. Detailliertere Beschreibung von Datengewinnung und Datensatz im Metadatendokument „Jauernig_LandmarketRegulation_DSDescription.pdf“ sowie im Befragungsinstrument „Jauernig_LandmarketRegulation_SurveyInstrument.pdf“. \r\n

\r\nDatengewinnung
\r\n--------------
\r\nRekrutierung zur Teilnahme an Online-Befragung mit standardisiertem Fragebogen durch E-Mail-Anschreiben von Landwirten über mehrere Adressenlisten (Agrarforschungseinrichtungen, Verbände, Kirchen), schwerpunktmäßig in NRW und Brandenburg. Nach Auswertung eines Pretests/Probebefragung und Rückmeldungen durch Landwirte und andere Fachleute wurde der endgültige \r\nFragebogen erstellt.
\r\nBefragungzeitraum: Februar bis Mai 2019
\r\n
\r\nFragebogenstruktur und -inhalt
\r\n------------------------------
\r\nFragebogen aus vier Teilen:
\r\n1) Einstellungsabfrage anhand von Szenarien: In Szenarienbeschreibungen werden Konkurrenzsituationen zwischen örtlichen Landwirten und auswärtigen bzw. außerlandwirtschaftlichen Konkurrenten um den Kauf landwirtschaftlicher Flächen dargestellt: TeilnehmerInnen werden nach ihren Präferenzen für Varianten staatlicher Regulierung mit unterschiedlich starker Protektion ortsansässiger Landwirte gegenüber den Konkurrenten befragt. Sie hatten aus einer Skala von 13 Antwortoptionen von unregulierter Transaktion über verschiedene Aufpreisforderungen bis hin zum strikten Verbot des Verkaufs an Konkurrenten auszuwählen. Fragebogenvarianten mit Unterschieden bzgl. der Beschreibung des Konkurrenten sowie der Rolle des Respondenten (Beobachter oder Verkäufer des Landes) wurden randomisiert zugewiesen. (2 Items)
\r\n2) Allgemeine (d.h. nicht szenarienspezifische) geschlossene Fragen über Haltungen zur derzeitigen sowie der gewünschten Regulierung des landwirtschaftlichen Grundstücksverkehrs. (10 Items)
\r\n3) Geschlossene Fragen über die Stellung der Landwirtschaft in der Gesellschaft und Volkswirtschaft, der Angemessenheit und ggf. Begründung einer bevorzugten Behandlung des Sektors. (7 Items)
\r\n4) Strukturdaten zum Landwirtschaftsbetrieb und zur Person des Respondenten.
\r\n
\r\nDatensatzbeschreibung
\r\n-----------------------
\r\nDer Gesamtdatensatz enthält 717 Beobachtungen (674 Landwirte, 43 Nichtlandwirte) und 73 Variablen. Die Variable B702 (Landkreis) wurde aus Gründen der Anonymisierung entfernt. Weitere Informationen über Datendichte und Datenqualität sind dem Dokument \"Jauernig_LandmarketRegulation_DSDescription.pdf\" und dem Codebook mit Verteilungsangaben auf Variablenebene (Jauernig_LandmarketRegulation_Codebook.pdf) zu entnehmen.", "en" : "Überblick
\r\n---------
\r\nDaten aus standardisierter Online-Befragung unter über 700 deutschen Landwirten (und Nichtlandwirten) zu ihren Präferenzen für staatliche Regulierung zum Schutz ortsansässiger Landwirte gegenüber Konkurrenz durch ortsfremde bzw. landwirtschaftsfremde Konkurrenten beim Landkauf auf landwirtschaftlichen Bodenmärkten. Detailliertere Beschreibung von Datengewinnung und Datensatz im Metadatendokument „Jauernig_LandmarketRegulation_DSDescription.pdf“ sowie im Befragungsinstrument „Jauernig_LandmarketRegulation_SurveyInstrument.pdf“. \r\n

\r\nDatengewinnung
\r\n--------------
\r\nRekrutierung zur Teilnahme an Online-Befragung mit standardisiertem Fragebogen durch E-Mail-Anschreiben von Landwirten über mehrere Adressenlisten (Agrarforschungseinrichtungen, Verbände, Kirchen), schwerpunktmäßig in NRW und Brandenburg. Nach Auswertung eines Pretests/Probebefragung und Rückmeldungen durch Landwirte und andere Fachleute wurde der endgültige \r\nFragebogen erstellt.
\r\nBefragungzeitraum: Februar bis Mai 2019
\r\n
\r\nFragebogenstruktur und -inhalt
\r\n------------------------------
\r\nFragebogen aus vier Teilen:
\r\n1) Einstellungsabfrage anhand von Szenarien: In Szenarienbeschreibungen werden Konkurrenzsituationen zwischen örtlichen Landwirten und auswärtigen bzw. außerlandwirtschaftlichen Konkurrenten um den Kauf landwirtschaftlicher Flächen dargestellt: TeilnehmerInnen werden nach ihren Präferenzen für Varianten staatlicher Regulierung mit unterschiedlich starker Protektion ortsansässiger Landwirte gegenüber den Konkurrenten befragt. Sie hatten aus einer Skala von 13 Antwortoptionen von unregulierter Transaktion über verschiedene Aufpreisforderungen bis hin zum strikten Verbot des Verkaufs an Konkurrenten auszuwählen. Fragebogenvarianten mit Unterschieden bzgl. der Beschreibung des Konkurrenten sowie der Rolle des Respondenten (Beobachter oder Verkäufer des Landes) wurden randomisiert zugewiesen. (2 Items)
\r\n2) Allgemeine (d.h. nicht szenarienspezifische) geschlossene Fragen über Haltungen zur derzeitigen sowie der gewünschten Regulierung des landwirtschaftlichen Grundstücksverkehrs. (10 Items)
\r\n3) Geschlossene Fragen über die Stellung der Landwirtschaft in der Gesellschaft und Volkswirtschaft, der Angemessenheit und ggf. Begründung einer bevorzugten Behandlung des Sektors. (7 Items)
\r\n4) Strukturdaten zum Landwirtschaftsbetrieb und zur Person des Respondenten.
\r\n
\r\nDatensatzbeschreibung
\r\n-----------------------
\r\nDer Gesamtdatensatz enthält 717 Beobachtungen (674 Landwirte, 43 Nichtlandwirte) und 73 Variablen. Die Variable B702 (Landkreis) wurde aus Gründen der Anonymisierung entfernt. Weitere Informationen über Datendichte und Datenqualität sind dem Dokument \"Jauernig_LandmarketRegulation_DSDescription.pdf\" und dem Codebook mit Verteilungsangaben auf Variablenebene (Jauernig_LandmarketRegulation_Codebook.pdf) zu entnehmen." }, "collectionModes" : [ { "label" : { "pref" : "Web-basiertes Interview", "de" : "Web-basiertes Interview", "en" : "Web-based interview" } } ], "collections" : [ "Continue without selection" ], "contributions" : [ { "type" : [ "Contribution" ], "agent" : { "type" : [ "Person" ], "uri" : "info:searchapp/vocab/adhoc/SmF1ZXJuaWcsIEpvaGFubmE=", "label" : "Jauernig, Johanna", "affiliation" : { "uri" : "info:searchapp/vocab/adhoc/TGVpYm5peiBJbnN0aXR1dGUgb2YgQWdyaWN1bHR1cmFsIERldmVsb3BtZW50IGluIFRyYW5zaXRpb24gRWNvbm9taWVzIChJQU1PKQ==", "label" : { "pref" : "Leibniz Institute of Agricultural Development in Transition Economies (IAMO)", "de" : "Leibniz Institute of Agricultural Development in Transition Economies (IAMO)", "en" : "Leibniz Institute of Agricultural Development in Transition Economies (IAMO)" } } }, "role" : [ ] } ], "describedBy" : { "uri" : "https://api.vitrine.gesis.org/search/soda/_doc/2003.json", "type" : "ResearchData", "modifiedBy" : { "uri" : "https://searchapp-indexer", "label" : { "pref" : "Searchapp Indexer" }, "dateCreated" : "2026-05-07T06:21:13.391+02:00", "dateModified" : "2026-05-07T06:21:13.391+02:00", "inDataset" : { "uri" : "https://git.gesis.org/datorium/soda-index-data" }, "resultOf" : { "type" : [ "CreateAction" ], "endTime" : "2026-05-07T06:21:13.391+02:00", "instrument" : { "uri" : "https://git.gesis.org/datorium/searchapp-indexer", "type" : [ "SoftwareApplication" ], "label" : "Searchapp Indexer" }, "srcObject" : { "uri" : "https://git.gesis.org/datorium/soda-index-data/-/blob/main/data/2003.json", "type" : [ "DataFeedItem" ], "inDataset" : { "uri" : "https://git.gesis.org/datorium/soda-index-data", "label" : "raw data" } } } } }, "documentId" : "2003", "geographicCoverages" : [ { "geographicCoveragesFree" : { "pref" : "Deutschland / DE", "de" : "Deutschland / DE", "en" : "Germany / DE" } } ], "handles" : [ { "type" : "DOI", "notation" : "10.7802/2003", "url" : "https://doi.org/10.7802/2003", "source" : { "uri" : "info:searchapp/vocab/soda", "label" : "SowiDataNet" } } ], "issuers" : [ { "uri" : "info:searchapp/vocab/adhoc/SUFNTyAtIExlaWJuaXotSW5zdGl0dXQgZsO8ciBBZ3JhcmVudHdpY2tsdW5nIGluIFRyYW5zZm9ybWF0aW9uc8O2a29ub21pZW4=", "label" : { "pref" : "IAMO - 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