@article{950e30b1581b4af0b44eca395515c990,
title = "Farmers' risk preferences in 11 European farming systems: A multi-country replication of Bocqu{\'e}ho et al. (2014)",
abstract = "We replicate Bocqu{\'e}ho et al. (2014), who used multiple price lists to investigate the risk preferences of 107 French farmers. We collected new data from 1430 participants in 11 European farming systems. In agreement with the original study, farmers' risk preferences are best described by Cumulative Prospect Theory. Structural model estimates show that farmers in the new samples are, on average, less loss averse and more susceptible to probability distortion than in the original study. Explorative analyses indicate differences between estimation approaches, as well as heterogeneity between and within samples. We discuss challenges in replications of economic experiments with farmers across farming contexts.",
keywords = "agriculture, artefactual field experiment, cumulative prospect theory, expected utility theory, risk attitudes",
author = "Jens Rommel and Julian Sagebiel and Baaken, {Marieke Cornelia} and Jes{\'u}s Barreiro-Hurl{\'e} and Douadia Bougherara and Luigi Cembalo and Marija Cerjak and Tajana {\v C}op and Miko{\l}aj Czajkowski and Mar{\'i}a Espinosa-Goded and Julia H{\"o}hler and Laure Kuhfuss and Carl-Johan Lagerkvist and Margaux Lapierre and Marianne Lefebvre and Bettina Matzdorf and Edward Ott and Antonio Paparella and Erika Quendler and Macario Rodriguez-Entrena and Christoph Schulze and Tanja {\v S}umrada and Annika Tensi and Sophie Thoyer and Maksan, {Marina Tomi{\'c}} and Riccardo Vecchio and Marc Willinger and Katarzyna Zag{\'o}rska",
note = "Funding Information: We are grateful to the authors of Bocqu{\'e}ho et al. (2014). In particular, we thank Geraldine Bocqu{\'e}ho for sharing all her material and for always responding so fast to our numerous questions. We would like to thank Ciaran Blanchflower, Olivia Stopek, Nino Cavallaro, and the REECAP network for their continued support of the project. Comments from three anonymous reviewers helped us improve the paper. Jens Rommel and Julian Sagebiel are grateful for funding received from the Swedish Research Council for Sustainable Development (FORMAS) for the project “Building resilience for Swedish food production under increasing risk of extreme weather” under registration number 2019-00993. Douadia Bougherara, Sophie Thoyer, and Marc Willinger acknowledge financial support from the University of Montpellier (SRUM) and from the French National Research Agency under the Investments for the Future Program, referred to as ANR-16-CONV-0004 (#DigitAg), and are grateful to F. Brun and N. Bernard Le Gall (ACTA), M. Beurey (APCA), E. Gourdain and C. Hannon (Arvalis), and L. Lemeur (UNPT) for their contribution to survey dissemination. Julia H{\"o}hler and Annika Tensi acknowledge financial support from Wageningen University & Research and the Business Economics Group. Katarzyna Zag{\'o}rska would like to thank the Faculty of Economic Sciences, University of Warsaw, which funded the data collection in Poland with a grant for young scholars (Badania M{\l}odych 2020, resources from the Ministry of Science and Higher Education). Mikolaj Czajkowski acknowledges funding from the Czech Science Foundation (grant 19-26812X) within the EXPRO Program “Frontiers in Energy Efficiency Economics and Modelling (FE3M)” and the National Science Centre of Poland (Sonata Bis, 2018/30/E/HS4/00388). Laure Kuhfuss acknowledges funding received from the Scottish Government RESAS division in the framework of the 2016–2021 Strategic Research Programme. Marianne Lefebvre acknowledges funding received from the Pays de Loire Region through RFI Alliance Europa (2020–2022). She is also grateful to Alexandre Perais and Ivan Dufeu for their contributions to survey dissemination. Tanja {\v S}umrada acknowledges financial support from the Slovenian Research Agency (research programme P4-0022 (B)) and is grateful to the Association of Slovenian Rural Youth for their help with data collection. The Croatian and Swedish teams acknowledge funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 952303 (AgriFoodBoost). The Italian team received a grant from the Project PRIN DRASTIC “Driving The Italian Agri-Food System Into A Circular Economy Model,” PRIN-MIUR – Call 2017, funded by the Italian Ministry of Education, University and Research (MIUR) under grant number 2017JYRZFF. Macario Rodriguez-Entrena, Mar{\'i}a Espinosa-Goded, and Jes{\'u}s Barreiro-Hurl{\'e} acknowledge the funding via a specific contract between the European Commission (EC) and the University of Cordoba (JRC/SVQ/2021/VLVP/0333 - Programming and data-gathering for replication of the Bocqu{\'e}ho et al. (2013) experiment). Funding Information: Swedish Research Council for Sustainable Development, Grant/Award Number: 2019‐00993; University of Montpellier; French National Research Agency, Grant/Award Number: ANR‐16‐CONV‐0004; Wageningen University & Research and the Business Economics Group; Ministry of Science and Higher Education; Scottish Government RESAS division; RFI Alliance Europa, Grant/Award Number: 2020–2022; Slovenian Research Agency, Grant/Award Number: P4‐0022 (B); European Union's Horizon 2020, Grant/Award Number: 952303; Driving The Italian Agri‐Food System Into A Circular Economy Model, Grant/Award Number: PRIN DRASTIC; Italian Ministry of Education, University and Research, Grant/Award Numbers: PRIN‐MIUR – Call 2017, cod.2017JYRZFF; European Commission; University of Cordoba; Programming and data‐gathering for replication of the Bocqu{\'e}ho et al. (2013) experiment, Grant/Award Number: JRC/SVQ/2021/VLVP/0333; Czech Science Foundation, Grant/Award Number: 19‐26812X; National Science Centre of Poland, Grant/Award Number: 2018/30/E/HS4/00388 Funding information Funding Information: Jens Rommel and Julian Sagebiel are grateful for funding received from the Swedish Research Council for Sustainable Development (FORMAS) for the project “Building resilience for Swedish food production under increasing risk of extreme weather” under registration number 2019‐00993. Douadia Bougherara, Sophie Thoyer, and Marc Willinger acknowledge financial support from the University of Montpellier (SRUM) and from the French National Research Agency under the Investments for the Future Program, referred to as ANR‐16‐CONV‐0004 (#DigitAg), and are grateful to F. Brun and N. Bernard Le Gall (ACTA), M. Beurey (APCA), E. Gourdain and C. Hannon (Arvalis), and L. Lemeur (UNPT) for their contribution to survey dissemination. Julia H{\"o}hler and Annika Tensi acknowledge financial support from Wageningen University & Research and the Business Economics Group. Katarzyna Zag{\'o}rska would like to thank the Faculty of Economic Sciences, University of Warsaw, which funded the data collection in Poland with a grant for young scholars (Badania M{\l}odych 2020, resources from the Ministry of Science and Higher Education). Mikolaj Czajkowski acknowledges funding from the Czech Science Foundation (grant 19‐26812X) within the EXPRO Program “Frontiers in Energy Efficiency Economics and Modelling (FE3M)” and the National Science Centre of Poland (Sonata Bis, 2018/30/E/HS4/00388). Laure Kuhfuss acknowledges funding received from the Scottish Government RESAS division in the framework of the 2016–2021 Strategic Research Programme. Marianne Lefebvre acknowledges funding received from the Pays de Loire Region through RFI Alliance Europa (2020–2022). She is also grateful to Alexandre Perais and Ivan Dufeu for their contributions to survey dissemination. Tanja {\v S}umrada acknowledges financial support from the Slovenian Research Agency (research programme P4‐0022 (B)) and is grateful to the Association of Slovenian Rural Youth for their help with data collection. The Croatian and Swedish teams acknowledge funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 952303 (AgriFoodBoost). The Italian team received a grant from the Project PRIN DRASTIC “Driving The Italian Agri‐Food System Into A Circular Economy Model,” PRIN‐MIUR – Call 2017, funded by the Italian Ministry of Education, University and Research (MIUR) under grant number 2017JYRZFF. Macario Rodriguez‐Entrena, Mar{\'i}a Espinosa‐Goded, and Jes{\'u}s Barreiro‐Hurl{\'e} acknowledge the funding via a specific contract between the European Commission (EC) and the University of Cordoba (JRC/SVQ/2021/VLVP/0333 ‐ Programming and data‐gathering for replication of the Bocqu{\'e}ho et al. (2013) experiment).",
year = "2023",
month = aug,
day = "3",
doi = "10.1002/aepp.13330",
language = "English",
volume = "45",
pages = "1374--1399",
journal = "Applied Economic Perspectives and Policy",
issn = "2040-5790",
publisher = "Oxford University Press",
number = "3",
}
