{"status":"OK","data":{"id":614656,"identifier":"SS/RJVDGG","persistentUrl":"https://doi.org/10.17026/SS/RJVDGG","protocol":"doi","authority":"10.17026","separator":"/","publisher":"DANS Data Station Social Sciences and Humanities","publicationDate":"2025-03-31","storageIdentifier":"surf://10.17026/SS/RJVDGG","effectiveDatasetFileCountLimit":10000,"datasetFileUploadsAvailable":9996,"datasetType":"dataset","locks":[],"latestVersion":{"id":24804,"datasetId":614656,"datasetPersistentId":"doi:10.17026/SS/RJVDGG","datasetType":"dataset","storageIdentifier":"surf://10.17026/SS/RJVDGG","versionNumber":3,"internalVersionNumber":9,"versionMinorNumber":0,"versionState":"RELEASED","latestVersionPublishingState":"RELEASED","deaccessionLink":"","distributionDate":"2025-03-31","productionDate":"2025-03-31","UNF":"UNF:6:wvipUUuxTYuyqbfJual9BQ==","lastUpdateTime":"2025-04-03T07:32:25Z","releaseTime":"2025-04-03T07:32:25Z","createTime":"2025-04-01T05:55:06Z","publicationDate":"2025-03-31","citationDate":"2025-03-31","effectiveDatasetFileCountLimit":10000,"datasetFileUploadsAvailable":9996,"license":{"name":"CC-BY-NC-SA-4.0","uri":"http://creativecommons.org/licenses/by-nc-sa/4.0","iconUri":"https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png"},"fileAccessRequest":true,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","name":"citation","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"Supplementary Information for: Climate change skepticism of European farmers and implications for effective policy actions (Kröner et al., 2025)"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"L. Kröner"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"H.J.M. Grinsven"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"J.W. Erisman"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"M. Graversgaard"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"T. Immerzeel"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"J.E. Olesen"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"A. Rodríguez"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"CLIMATE Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"B. Soriano"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"A. Sanz-Cobena"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"T. van der Lippe"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Kröner, Lea"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Utrecht University"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"These data include the supplementary materials of the article Climate change skepticism of European farmers and implications for effective policy actions by Kröner et al. 2015.\n\nTables 1-7 can be found in the word document. Table 1 includes Descriptive statistics of the overall samples. Supplementary Table 2 includes Predicted values on attribution skepticism (1-5) and impact skepticism (1-10) for non-farmers and farmers in model with multilevel structure with random intercept and random coefficient for farmer. Supplementary Table 3 includes Number of observations and mean attitude values per country for farmers and the remaining working population (non-farmers), and additional country factor used for the statistical analysis. Supplementary Table 4 includes Eurobarometer special issues climate change 2011-2021 multilevel models with impact skepticism as dependent variable. Supplementary Table 5 includes European social survey wave 8 and wave 10 multilevel models. Supplementary Table 6 includes Ranked index for national climate risks for agriculture in European countries based on Trnka et al. (2011) and Zhao et al., (2022). A higher score on this variable indicates a higher climate risk at the national level. Supplementary Table 7 includes comparison Share of agricultural employment per country and representation of farmers in ESS and Eurobarometer. The excel file with the supplementary data 1. include the calculation of climate risk score. "}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Agricultural Sciences","Earth and Environmental Sciences","Social Sciences"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"climate change attitudes"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"social surveys"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"farmers"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"European Union"}}]},{"typeName":"language","multiple":true,"typeClass":"controlledVocabulary","value":["English"]},{"typeName":"productionDate","multiple":false,"typeClass":"primitive","value":"2025-03-31"},{"typeName":"productionPlace","multiple":true,"typeClass":"primitive","value":["Department of Sociology, Social and Behavioural Sciences, Utrecht University","Department of Water, Agriculture and Food, PBL Netherlands Environmental Assessment Agency","Institute of Environmental Sciences, Leiden University","Department of Agroecology, Aarhus University","iCLIMATE Interdisciplinary Centre for Climate Change, Aarhus University","Global Change Research Institute of the Czech Academy of Sciences","Department of Economic Analysis and Finances, Universidad de Castilla-La Mancha","Universidad Politécnica de Madrid, Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM, ETSIAAB)"]},{"typeName":"contributor","multiple":true,"typeClass":"compound","value":[{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Project Member"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Kröner, Lea"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Project Member"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Grinsven, Hans JM"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Project Member"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Erisman, Jan Willem"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Project Member"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Graversgaard, Morten"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Project Member"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Immerzeel, Tim"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Project Member"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Olesen, Jørgen Eivind"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Project Member"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Rodríguez, Alfredo"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Project Member"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Soriano, Bárbara"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Project Member"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Sanz-Cobena, Alberto"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Project Member"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"van der Lippe, Tanja"}}]},{"typeName":"grantNumber","multiple":true,"typeClass":"compound","value":[{"grantNumberAgency":{"typeName":"grantNumberAgency","multiple":false,"typeClass":"primitive","value":"Dutch Research Council NWO"},"grantNumberValue":{"typeName":"grantNumberValue","multiple":false,"typeClass":"primitive","value":"Stevin.2022.1"}},{"grantNumberAgency":{"typeName":"grantNumberAgency","multiple":false,"typeClass":"primitive","value":"Ministry of Education, Youth and Sports of the Czech Republic"},"grantNumberValue":{"typeName":"grantNumberValue","multiple":false,"typeClass":"primitive","value":"CZ.02.01.01/00/22_008/0004635"}}]},{"typeName":"distributionDate","multiple":false,"typeClass":"primitive","value":"2025-03-31"},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Kröner, Lea"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2025-03-31"},{"typeName":"kindOfData","multiple":true,"typeClass":"primitive","value":["Supplementary materials"]},{"typeName":"software","multiple":true,"typeClass":"compound","value":[{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"Excel"}},{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"Word"}},{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"STATA16"}}]},{"typeName":"dataSources","multiple":true,"typeClass":"primitive","value":["Data availability statement: The European Social Survey (ESS) Wave 8 and Wave 10, as well as the Special Eurobarometer surveys on climate change (collected biennially from 2009 to 2021), are accessible via the Datafile Builder (https://ess.sikt.no/en/data-builder/) and the GESIS Leibniz Institute for the Social Sciences data catalog (https://search.gesis.org/), respectively. These datasets are listed with their DOIs below. Country-level data were obtained from online platforms and tables are given in the Supplementary information, with hyperlinks provided below.\n\nESS\n\n-       European Social Survey Round 10 Data (2020): doi:10.21338/NSD-ESS10-2020.\n\n-       European Social Survey Round 8 Data (2016): doi:10.21338/NSD-ESS8-2016.\n\nEurobarometer\n\n-      Eurobarometer 95.1 ZA No. 7781 (March-April 2021): doi:10.4232/1.14079\n\n-      Eurobarometer 91.3 ZA No. 7572 (April 2019): doi:10.4232/1.13372\n\n-      Eurobarometer 87.1 ZA No. 6861 (March 2017): doi.10.4232/1.13738\n\n-      Eurobarometer 83.4 ZA No. 6595 (May-June 2015): doi.org/10.4232/1.13146\n\n-      Eurobarometer 80.2 ZA No. 5877 (November-December 2013) doi:10.4232/1.12792\n\n-      Eurobarometer 75.4 ZA No. 5564 (June 2011) doi:10.4232/1.11851\n\nCountry-level data:\n\n-      Agricultural share of land between 2014 and 2021: https://data.worldbank.org/indicator/AG.LND.AGRI.ZS?end=2018&start=2014\n\n-      Gross domestic product (GDP) per capita in Purchasing Power Standards (PPS) between 2014 and 2021 https://ec.europa.eu/eurostat/databrowser/view/tec00114/default/table?lang=en\n\n-      General Innovation Index (GII) per country between 2014 and 2021 https://hdr.undp.org/data-center/thematic-composite-indices/gender-inequality-index#/indicies/GII"]}]},"dansRights":{"displayName":"Rights Metadata","name":"dansRights","fields":[{"typeName":"dansRightsHolder","multiple":true,"typeClass":"primitive","value":["Utrecht University"]},{"typeName":"dansPersonalDataPresent","multiple":false,"typeClass":"controlledVocabulary","value":"Yes"},{"typeName":"dansMetadataLanguage","multiple":true,"typeClass":"controlledVocabulary","value":["English"]}]},"dansRelationMetadata":{"displayName":"Relation 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These were aggregated to country scale using the area share of the climate zones.\n\nZhao et al.1 reported the results of a survey among farmers into (i) the extent to which they have already taken measures (because of evident effects of climate change) and (ii) the extent to which they plan to take additional measures. Both i and ii can be seen as indicators of the risk “perception” of the farming community. For this we used a variant with all measures accounted for and one with a selection.\n\nFrom Trnka et al.2 we took modeled climate changes for the year 2030 and a translation thereof into changes in (i) the length of the growing season and (ii) the number of (too) dry days. We also calculated sensitivities using the changes in agro-climatic indicators change in length of the growing season and of number of dry days). Here the score runs from positive (climate benefits) to negative (climate costs)\n\nWe found a good correlation (r2=0.77 between climate risk indices derived from Zhao et al. (2022), using the selection of taken measures, and derived from Trnka et al. (2011). The selection of measures focuses on choice of cultivar and hydrologic measures.","label":"Supplementary data 1. Calculation of climate risk score.tab","restricted":false,"version":1,"datasetVersionId":24804,"dataFile":{"id":614657,"persistentId":"","filename":"Supplementary data 1. Calculation of climate risk score.tab","contentType":"text/tab-separated-values","friendlyType":"Tab-Delimited","filesize":7393,"description":"Explanation calculation climate risk score: Original data about implementation of adaptation measure are from Zhao et al.1 and for climate risks from Trnka et al.2and are given per climate zone. These were aggregated to country scale using the area share of the climate zones.\n\nZhao et al.1 reported the results of a survey among farmers into (i) the extent to which they have already taken measures (because of evident effects of climate change) and (ii) the extent to which they plan to take additional measures. Both i and ii can be seen as indicators of the risk “perception” of the farming community. For this we used a variant with all measures accounted for and one with a selection.\n\nFrom Trnka et al.2 we took modeled climate changes for the year 2030 and a translation thereof into changes in (i) the length of the growing season and (ii) the number of (too) dry days. We also calculated sensitivities using the changes in agro-climatic indicators change in length of the growing season and of number of dry days). Here the score runs from positive (climate benefits) to negative (climate costs)\n\nWe found a good correlation (r2=0.77 between climate risk indices derived from Zhao et al. (2022), using the selection of taken measures, and derived from Trnka et al. (2011). The selection of measures focuses on choice of cultivar and hydrologic measures.","storageIdentifier":"surf://store:195eb93d2ce-04f17faf0b04","originalFileFormat":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","originalFormatLabel":"MS Excel Spreadsheet","originalFileSize":1388829,"originalFileName":"Supplementary data 1. 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