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Data on the efficacy and costs of different weed control strategies in Swiss wheat production
(2019)Data on the efficacy and costs of different weed control strategies in Swiss wheat production Authors: Thomas Böcker & Robert Finger, Agricultural Economics and Policy Group, ETH Zürich This content belongs to the following publication: Böcker, T., Möhring, N., Finger, R. (2019). Herbicide free agriculture? A bio-economic modelling application to Swiss wheat production. Agricultural Systems 173, 378-392. The model used in this paper ...Dataset -
Data on pesticide use and risk from Boecker and Finger 2016
(2016)The here provided data allow to replicate the 3 figures in the following paper: Böcker, T., Finger, R. (2016). European Pesticide Tax Schemes in Comparison: An Analysis of Experiences and Developments. Sustainability 8(4), 378; doi: 10.3390/su8040378 The data contain information on pesticide use and pesticide risks in selected European countries.Dataset -
Drosophila suzukii in Swiss berry production – Data from a survey on risk management strategies in 2017
(2018)The here presented dataset is based on a survey that was conducted with Swiss berry growers with the specific aim to identify risk management strategies taken in response to Drosophila suzukii as well as to survey perceived infestation levels and harvest losses. The survey was conducted from mid-October 2017 to end of November 2017 and questions were related to the berry harvest of 2017 with in total 50 responses. Farm and farmers’ ...Dataset -
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 -
Data on late blight warnings in Swiss agricultural newspapers
(2019)The data set contains coded information on late blight warnings and pesticide application recommendations from 2009-2015 per canton. The raw data was collected from the archives of the agricultural newspapers BauernZeitung, Schweizer Bauer and AgriHebdo.Dataset -
Dataset on the adoption of pesticide-free spelt production in Switzerland
(2020)The here presented dataset provides information on i) actual and planned participation decisions of Swiss «Extenso» spelt producers in a program for pesticide-free spelt production of the producer organization IP-SUISSE and ii) a wide range of potential determinants for program adoption. The dataset consists of survey data, as well as external data from a range of relevant data sources, matched based on farm location. The online survey ...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 -
Drosophila suzukii in Swiss grape production- Data from a survey on risk management strategies in 2016, 2017, 2018
(2018)The here presented dataset is based on a survey that was conducted with Swiss grape growers in 2016,2017 and 2018, with the specific aim to identify risk management strategies taken in response to Drosophila suzukii as well as to survey perceived infestation levels and harvest losses.Dataset -
Dataset on German farmers risk preference, risk perception and risk management strategies
(2017)The extent to which people are willing to take on risk, i.e. their risk preferences as well as subjective risk perception plays a major role in explaining their behavior. This is of particular relevance in agricultural production, which is inherently risky. The data presented here was collected amongst a total of 64 German farmers in 2015. It includes results of three different risk preference elicitation methods (multiple price list, ...Dataset