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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 -
Bio-economic model on weed control in cultivation of wheat
(2018)Strategies to prevent and control pest pressure are required to efficiently produce high quality food products. However, the use of pesticides is associated with potential risks to humans and the environment, motivating policy actions in Switzerland and other European countries. Especially the widespread use of herbicides is increasingly criticised. The goal of this work to investigate the implications of a ban or a voluntary removal of ...Model -
Bio-economic model on weed management in maize production
(2017)The bio-economic model calculates optimal weed control strategies for cultivation of silage maize in North-Rhine-Westphalia and can be used to simulate agri-environmental policy scenarios such as a glyphosate ban. The model is described in detail in the following article: Böcker, T., Britz, W., Finger, R. (2017). Modelling the effects of a glyphosate ban on weed management in silage maize production. Ecological Economic.Model -
Dataset: The role of behavioural factors and opportunity costs in farmers' participation in voluntary agri-environmental schemes: A systematic review
(2023)This dataset contains information about the papers used in the systematic review: “The role of behavioural factors and opportunity costs in farmers' participation in voluntary agri-environmental schemes: A systematic review” by Sergei Schaub, Jaboury Ghazoul, Robert Huber, Wei Zhang, Adelaide Sander, Charles Rees, Simanti Banerjee, and Robert Finger.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 on Swiss grapevine growers’ production, pest management and risk management decisions
(2022)This dataset contains data from 436 grapevine growers in Switzerland. It includes answers to 65 questions about production, pest and risk management decisions. A particular emphasis was placed on knowledge, attitudes, and perceptions about fungus-resistant grapevine varieties. Moreover, characteristics of the farm manager and the farm as well as environmental data from weather stations is included. We received ethical approval from the ...Dataset -
Dataset: Swiss citizens preferences and perceptions of agricultural policy
(2023)Here, we present representative survey data from 1542 Swiss citizens. Data were collected across the three largest Swiss language regions (German, French and Italian) in Autumn 2022. In the main part of the survey, we collected qualitative and quantitative data on their perception of agricultural policy goals and potential trade-offs. For this, participants were first asked to name the three most important agricultural policy goals. Next, ...Dataset -
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