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Dataset on risk preferences and risk literacy for a sample of German agricultural sciences students
(2018)The data presented here contains information on risk preferences, risk literacy and personal characteristics collected from 244 German agricultural sciences students in an online survey in 2015. Two different risk preference elicitation methods have been used. First, we used an iterative multiple price list (iMPL). Second, a simple self-assessment of risk preferences was used. Moreover, we used two different frames of the iMPL (general ...Dataset -
Dataset on farm diversification decisions and farmers’ risk preferences in the Ruhr Metropolitan region (Germany)
(2018)On-farm non-agricultural diversification is increasingly important for many farmers to stabilize their income and to fulfill societal demand for integrated farming. Especially in peri-urban areas, where the potential for farms’ expansion in terms of farm size is limited and public interest in regional products and other services provided at farms is high, the uptake of on-farm non-agricultural diversification is thus an attractive strategy ...Dataset -
Dataset on a Meta‐Analysis on the Elasticity of Demand for Pesticides
(2017)This dataset summarizes data collected in a meta‐analysis based on 31 studies that have estimated pesticide demand elasticities in Europe and North America. (Böcker, T., Finger, R. (2017). A Meta-Analysis on the Elasticity of Demand for Pesticides. Journal of Agricultural Economics 68(2): 518-533) From the selected studies, we obtained the following information, as available: (i) the year of publication, (ii) the period of analysis/data ...Dataset -
Yield, phenology and weather data for 29 winter wheat producers in Germany for the period 1996-2010
(2018)Yield, phenology and weather data for 29 winter wheat producers in Germany for the period 1996-2010. For each year and farm, the following data is presented: A) wheat yield data, B) phenology data, C) rainfall data corresponding to different phenological phases Data has been published and used in the following article: Dalhaus, T., Musshoff, O., Finger, R. (2018). Phenology Information Contributes to Reduce Temporal Basis Risk in ...Dataset -
Dataset on Farmer Risk Preferences in Europe
(2020)The here presented dataset presents data obtained in a systematic review of the research on farmer risk preference measurement across Europe published in the following article: Iyer, P. Bozzola, M.*, Hirsch, S., Meraner, M. and Finger, R. (2020). Measuring Farmer Risk Preferences in Europe: A Systematic Review. Journal of Agricultural Economics 71(1): 3-26 doi: 10.1111/1477-9552.12325 Our comprehensive review of the literature ...Dataset -
FARMIND
(2020)This is an agent-based model for the simulation of farm level decision-making developed by the Agricultural Economics and Policy Group at ETH Zurich (www.aecp.ethz.ch). The model represents each farm as an agent as well as a node in social networks. Each agent chooses a strategy for perform activities based on the satisfaction and uncertainty about its output. A set of activity options is determined for each agent according to the strategy ...Model -
Data: German and Swiss seed mixture prices and characteristics
(2021)This dataset contains prices and characteristics (e.g., plant diversity, containing native ecotypes, designed for permanent grassland use, and organic certification) of seed mixtures from Germany and Switzerland collected in 2019 and 2020. For more details, see Schaub et al. and the README file.Dataset -
Countries' Agri-Environmental Policies Database
(2024)A new database of 6124 policies at the intersection of agriculture and the environment. Implemented between 1960 and 2022 in over 200 countries. Comprises a wide range of types of policies (e.g., ranging from legislative changes to payments for ecosystem services), as well as a wide range of goals (e.g., from pesticide regulations to forest conservation). It allows to e.g. count such policies per country, filter to select specific policies, ...Dataset -
Dataset on the dairy processing industry in France, Italy, Poland and Spain
(2019)Dataset on revenues, costs, assets and other firm characteristics of firms in the dairy processing industry in France, Italy, Poland and Spain. balanced panel data for the period 2006–2014 leading is provided for a sample of 2,186 dairy processors. The data is based on accounting data of dairy processors provided by AMADEUS, a trans-European database of financial information provided by Bureau van Dijk. The dataset is used in the following ...Dataset