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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 -
Data on spatial variability of multiple ecosystem services in grasslands of different intensities
(2019)Data Collection -
Data: Forage quality and biomass yield of the Management Experiment set up within the Jena Experiment
(2019)This dataset contains measurements of above ground biomass yield and various forage quality variables of the subplots of the Management Experiment set up within the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; Roscher et al. 2004, Weigelt et al. 2009). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, ...Dataset -
Data on local hail risk in Switzerland
(2012)This dataset contains information on local hail risk in Switzerland, on the level of municipalities, aggregated over the period 1961–2004. Data is provided by the Swiss hail insurance and is defined as the number of years with insured hail damages for each municipality in the period 1961–2004. The data was further described and used in this paper: Finger, R., Lehmann, N. (2012). The Influence of Direct Payments on Farmers' Hail Insurance ...Dataset -
Data on grassland insurance schemes in Vroege et al. (2019)
(2019)Overview on reviewed grassland insurance products in Europe and North-America. Presented in the following paper: Vroege, W., Dalhaus, T., Finger, R. (2019). Index insurances for grasslands – A review for Europe and North-America. Agricultural Systems 168, 101-111 https://doi.org/10.1016/j.agsy.2018.10.009Dataset -
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 -
Bio-economic model on benefits of increasing information accuracy in variable rate technologies
(2021)This bio-economic modeling framework assesses the benefits of different sensor approaches to measuring environmental heterogeneity in the field, ranging from the use of satellite imagery to drones and portable N sensors, in variable rate fertilization. The model is described in detail in the following article: Späti, K., Huber, R., & Finger, R. (2021). Benefits of Increasing Information Accuracy in Variable Rate Technologies. Ecological ...Model -
Data on performance indicators for agricultural economic journals
(2021)The here presented dataset summarizes various performance indicators of ten leading journals in the field of Agricultural Economics and Policy over the period from 2000 to 2020. More specifically, we combine various data sources to derive a coherent record of indicators including acceptance rates, times between submission and first response and impact factors. The accompanying paper is: Finger, R., Droste, N., Bartkowski, B., Ang, F. ...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 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