The article presents an economic valuation of the Ljubljanica riverbanks area, which is an urban cultural landscape with distinct qualities of international importance. For this purpose, we combined a classical contingent valuation with a closed-form version of discrete choice method, where the protest responses have been removed. By using econometric analysis, we obtained the willingness-to-pay (WTP) value and established its determinants. It was ascertained that residents derived more utility from implementation of the targeted development scenario than visitors. Thus, a discriminatory contribution scheme similar to the one with respect to the mean WTP could supply substantial revenue for further targeted development, while still providing ample consumer surplus for both residents and visitors. The present analysis represents one of the method’s very few applications to urban landscape in Central and Eastern European countries.
Land Use Policy – Elsevier
Published: Nov 1, 2016
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera