David Johannes Wüpper


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Wüpper

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David Johannes

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Publications 1 - 10 of 27
  • Finger, Robert; Wüpper, David Johannes; McCallum, Chloe (2023)
    Journal of Agricultural Economics
    We test and quantify the (in)stability of farmer risk preferences, accounting for both the instability across elicitation methods and instability over time. We use repeated measurements (N = 1530) with Swiss fruit and grapevine producers over 3 years, using different risk preference elicitation methods (domain-specific self-assessment and incentivised lotteries). We find that farmers' risk preferences change considerably when measured using different methods. For example, self-reported risk preference and findings from a Holt and Laury lottery correlate only weakly (correlation coefficients range from 0.06 to 0.23). Moreover, we also find that risk preferences vary considerably over time, that is, applying the same elicitation method to the same farmer in a different point in time results in different risk preference estimates. Our results show self-reported risk preferences are moderately correlated (correlation coefficients range from 0.42 to 0.55) from one year to another. Finally, we find experiencing crop damages due to climate extremes and pests is associated with farmers becoming more risk tolerant over time in specific domains.
  • Wüpper, David Johannes; Roleff, Nikolaus; Finger, Robert (2021)
    Food Policy
    Does it matter whether farmers receive advice on pest management strategies from public or from private (pesticide company affiliated) extension services? We use survey data from 733 Swiss fruit growers who are currently contending with an infestation by an invasive pest, the fruit fly Drosophila Suzukii. We find that farmers who are advised by public extension services are more likely (+9–10%) to use preventive measures (e.g. nets) while farmers who are advised by private extension services are more likely (+8–9%) to use synthetic insecticides. These results are robust to the inclusion of various covariates, ways to cluster standard errors, and inverse probability weighting. We also show that our results are unlikely to be driven by omitted variable bias. Our findings have implications for the current debates on both the ongoing privatization of agricultural extension and concerns regarding negative environmental and health externalities of pesticide use.
  • Sellare, Jorge; Börner, Jan; Brugger, Fritz; et al. (2022)
    Nature
    Laws to stamp out deforestation, pollution and child labour in global supply chains might have unintended consequences. Researchers need to investigate these effects.
  • Borrelli, Pasquale; Panagos, Panos; Wüpper, David Johannes (2020)
    International Soil and Water Conservation Research
  • Wüpper, David Johannes; Finger, Robert (2023)
    European Review of Agricultural Economics
    Regression discontinuity designs (RDD) are increasingly being employed in agricultural and environmental economics to identify causal effects. Here, we showcase recent applications, identify best practices, discuss commonly invoked identifying assumptions and show how these can be tested. We discuss basic empirical issues and more advanced topics, including how to exploit the availability of panel data, models to explain heterogeneous treatment effects and extrapolation of local estimates. Moreover, we show how agricultural economists can leverage RDD in combination with remote sensing and environmental modelling. Finally, we highlight three areas of emerging opportunities and draw conclusions for research and policy.
  • Wüpper, David Johannes; Wimmer, Stefan; Sauer, Johannes (2019)
    Land Use Policy
  • Wüpper, David Johannes; Wree, Philipp; Ardali, Goezde (2019)
    European Review of Agricultural Economics
    We use a choice experiment to investigate attitude heterogeneity regarding genetically modified food and how it is affected by the provision of balanced information. For the analysis, we use a generalized multinomial and a latent class logit. The consumers who are more accepting of genetic modifications are younger, less educated, and less concerned about their nutrition. The average effect of our provided information is negligible. However, the initially less opposed become slightly more opposed. Our results thus do not support the view that a lack of information drives consumer attitudes. Instead, attitudes seem to mostly reflect fundamental preferences. We discuss implications for research and policy.
  • Wüpper, David Johannes; Borrelli, Pasquale; Mueller, Daniel; et al. (2020)
    Agricultural Systems
    We examine the historical legacy of the Soviet Union on the current rate of human-induced soil erosion in its successor countries. We use a spatial regression discontinuity design and high-resolution soil erosion data. Our results suggest strong discontinuities in current soil erosion rates along the former border of the Soviet Union. We find that soil erosion in countries that were part of the former Soviet Union is 26% lower than in neighboring countries (0.77 tons per hectare and year). In contrast, we do not find such discontinuity in potential soil erosion under natural vegetation, underlining that this effect is man-made. We show that the main mechanism is a sharp discontinuity in forest dynamics, whereas general economic and demographic differences are less important.
  • Wüpper, David Johannes (2020)
    European Review of Agricultural Economics
    I investigate whether cultural differences explain why some European regions are more effective in mitigating soil erosion than others. Specifically, I consider environmental preferences and beliefs as well as time preferences. For causal identification, I use a control function approach. The estimates suggest that a 1 standard deviation increase in pro-environmental culture increases erosion mitigation by 2–9 percentage points. This has important implications for research and policy making, which I discuss.
  • Kreft, Cordelia Sophie; Huber, Robert; Wüpper, David Johannes; et al. (2020)
    Data in Brief
    We present survey data on the adoption of agricultural climate change mitigation measures collected among 105 farmers in a region in Switzerland in 2019. We surveyed measures farmers use to reduce greenhouse gas emissions on the farm level. The list comprised 13 measures related to energy production and use, herd and manure management as well as crop production. Additionally, data was collected with regard to farmers’ individual concerns and perceptions of climate change, attitudes and goals, self-efficacy and locus of control, income satisfaction and social influences. Moreover, risk preferences as well as loss aversion and probability weighting were elicited using a multiple price list. The survey data was matched with cantonal farm census data, containing information on farm size, farm type and age of the farmers. Previous article in issue
Publications 1 - 10 of 27