Publication detail

Nature-Based, Structural, or Soft Measures of Adaptation? Preferences for Climate Change Adaptation Measures to Limit Damages from Droughts

Author(s): Mgr. Milan Ščasný PhD., Zvěřinová Iva, Hunt Alistair
Type: IES Working Papers
Year: 2019
Number: 16
Published in: IES Working Papers 16/2019
Publishing place: Prague
Keywords: Climate change adaptation, discrete choice experiments, willingness to pay, policy acceptability, droughts, technical measures, nature-based (green) measures, soft non-structural measures
JEL codes: Q54, Q51
Suggested Citation: Ščasný M., Zvěřinová I. and Hunt A. (2019): "Nature-Based, Structural, or Soft Measures of Adaptation? Preferences for Climate Change Adaptation Measures to Limit Damages from Droughts" IES Working Papers 16/2019. IES FSV. Charles University.
Abstract: The objective of this paper is to examine preferences of citizens of three European countries regarding various adaptation plans and measures to limit damages from drought under climate changes. For this purpose, we conducted a survey in the Czech Republic, Italy, and the United Kingdom. We utilize discrete choice experiments and estimate marginal willingness-to-pay for a variety of technical, nature-based, and non-structural soft measures. The results differ substantially between countries and across the adaptation measures with the mean willingness to pay to be in a range of 5 to 26 PPS EUR. However, there is a large heterogeneity in willingness-to-pay across and within the countries. Rainwater harvesting is found to be one of the most preferred measures in each of the three countries, followed by small water reservoirs and wetlands in the Czech Republic, large reservoirs in the UK, and tax relief on water efficient technologies in Italy. We gather data on the perceived effectiveness and perceived base level of implementation of the various measures to explain the differences in preferences across populations. We identify three distinct latent classes implying large, modest, and even negative willingness to pay estimates in each three countries. The results can be used to inform policy makers about the acceptability of policy mixes.
Downloadable: wp_2019_16_scasny_zverinova_hunt
July 2020




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