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Drosophila suzukii in Swiss plum production – Data from a survey on risk management strategies in 2016
(2017)The here presented dataset is based on a survey that was conducted with Swiss plum 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 February to mid-March 2017 and questions were related to the plum harvest of 2016 with in total 112 responses. Farm and farmers’ characteristics were ...Dataset -
Data: Pest Prevention, Risk and Risk Management: the Case of Drosophila suzukii
(2022)This dataset contains Swiss wine grape growers’ management strategies against D. suzukii, risk preference and perception, and is based on surveys by Knapp et al. (2018) in 2016, 2017, and 2018. The here presented dataset additionally contains neighborhood averages of pest management strategies. Analyses in Wang and Finger (2022) are based on the dataset, R code available on https://github.com/ivoryday/pest_prevention.git.Dataset -
Data: When my neighbors matter: spillover effects in the adoption of large-scale pesticide-free wheat production
(2023)Datasets to replicate results from "When my neighbors matter: spillover effects in the adoption of large-scale pesticide-free wheat production" by Wang, Möhring, and Finger (2023). Due to restricted information (farm coordinates) contained in raw data, compiled data for regression analysis are published. R codes published at https://github.com/ivoryday/pestifree_spillover.gitOther Research Data -
Data on an economic and environmental assessment of a glyphosate ban for the example of maize production in North Rhine-Westphalia, Germany
(2020)This data is used as input for a bio-economic model that 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 can be used to assess changes in the Energy Output and the Load of the used pesticides under different scenarios. The model is described in detail in the following article: Böcker, ...Data Collection -
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 -
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