Does respondents' recruitment method affect the willingness-to-pay for clean-up of contaminated marine sediments? : comparing two internet panels and SMS recruited respondents in a contingent valuation survey

The purpose of this study is investigate the effects of combining recruitment methods from two survey agencies in a contingent valuation (CV) survey on Norwegian households’ willingness to pay (WTP) for restoration of contaminated marine sediments. The 2681 respondents represent the municipalities B...

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Bibliographic Details
Main Author: Fredriksen, Kaisa Andrea Ferguson
Other Authors: Navrud, Ståle, Lindhjem, Henrik
Format: Master Thesis
Language:English
Published: Norwegian University of Life Sciences, Ås 2021
Subjects:
WTP
Online Access:https://hdl.handle.net/11250/2985313
Description
Summary:The purpose of this study is investigate the effects of combining recruitment methods from two survey agencies in a contingent valuation (CV) survey on Norwegian households’ willingness to pay (WTP) for restoration of contaminated marine sediments. The 2681 respondents represent the municipalities Bodø, Horten, Moss, Stavanger and Ålesund and answered surveys concerning the condition of their local harbor. The data collection was conducted through the survey agencies Kantar and Norstat who shared the surveys with their respective access panels. In addition, Kantar reached out to potential relevant respondents through SMS to achieve a representative sample. Two research questions were addressed. 1) What is the effect on the composition of the sample when combining two access panels and SMS-recruitment? and 2) Does respondents’ recruitment method affect WTP for clean-up of contaminated marine sediments? In order to compare the three recruitment methods, an interval regression was carried out. The main findings suggest that the sample appear representative of Norwegian households, thus the predicted WTP is a sufficient estimation. There were no clear evidence that combining three recruitment methods originate significantly dissimilar household WTP. M-MINA