Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/204399
Authors: 
Jensen, Cathrine Ulla
Panduro, Toke Emil
Lundhede, Thomas Hedemark
von Graevenitz, Kathrine
Thorsen, Bo Jellesmark
Year of Publication: 
2016
Series/Report no.: 
IFRO Working Paper No. 2016/07
Publisher: 
University of Copenhagen, Department of Food and Resource Economics (IFRO), Copenhagen
Abstract: 
We analyse the housing markets in a suburb north of the Danish capital Copenhagen. We find that households sort themselves in relation to nature area. The concentration of affluent households decreases rapidly with distance to nature. This indicates that a welfare change generated by a change in the supply of urban nature could be skewed due to a systematic difference in preference that is highly correlated with demographics. In this paper we assess if and to what extent this is the case. We conduct a second-stage hedonic house price study and recover household-specific preferences for availability of nature. Preference parameters are identified locally through restrictions on household utility-functions. First, we assess the relation between demographic factors and household WTP for nature. Households with higher incomes and wealth have a 0.9% higher WTP per 1.000 EUR and this figure is slightly higher at the low end of the distribution. Interestingly, education mainly impacts the centre of the distribution and impacts the tails less. We conduct a policy simulation to illustrate how heterogeneity in preferences and local supply of nature areas can drive the outcome of a welfare economic assessment of a policy change. Our study contributes to the discussion of the distributional aspects of environmental benefits. This is a discussion mainly fuelled by stated-preference methods, and we contribute with results based on a revealed-preference method. Our results show that socio-economic distribution is a relevant factor to consider when evaluating nature area policies.
Subjects: 
public policy
green space
2nd stage hedonic regression
quantile regression
JEL: 
R21
Q51
Document Type: 
Working Paper

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