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Toke Emil Panduro

Researcher at University of Copenhagen

Publications -  25
Citations -  744

Toke Emil Panduro is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Willingness to pay & Hedonic index. The author has an hindex of 10, co-authored 23 publications receiving 557 citations. Previous affiliations of Toke Emil Panduro include Aarhus University & University of Copenhagen Faculty of Science.

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Classification and valuation of urban green spaces—A hedonic house price valuation

TL;DR: In this article, the authors proposed a categorization of green spaces into eight different types and quantify their impact on housing prices in the city of Aalborg using the hedonic house price method.
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The Vindication of Don Quixote: The Impact of Noise and Visual Pollution from Wind Turbines

TL;DR: In this article, the marginal external effects of nearby land-based wind turbines on property prices were quantified by using a dataset consisting of 12,640 traded residential properties located within 2,500 meters of a turbine sold in the period 2000-2011.
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Adaption to Extreme Rainfall with Open Urban Drainage System: An Integrated Hydrological Cost-Benefit Analysis

TL;DR: A cross-disciplinary framework for assessment of climate change adaptation to increased precipitation extremes considering pluvial flood risk as well as additional environmental services provided by some of the adaptation options found that an integration of open drainage basins in urban recreational areas is likely the best adaptation strategy.
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The choice of forest site for recreation: A revealed preference analysis using spatial data

TL;DR: The first author acknowledges the funding from the Education, Audio-visual, and Culture Executive Agency (EACEA) of the European Commission under Erasmus Mundus Action 1 Doctoral Fellowship as part of the FONASO (Forests and Nature for Society) Program.
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An Alternative to the Standard Spatial Econometric Approaches in Hedonic House Price Models

TL;DR: In this paper, the authors discuss the limitations of standard spatial approaches to hedonic modeling and demonstrate the spatial generalized additive model as an alternative, which is shown to be sensitive to the scale of the fixed effects and bandwidth dimension used to control for omitted variables.