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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 -
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 -
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 -
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