E3S Web Conf.
Volume 200, 2020The 1st Geosciences and Environmental Sciences Symposium (ICST 2020)
|Number of page(s)||6|
|Published online||23 October 2020|
Economic valuation of Blue Lagoon Tourism Village Widodomartani Sleman
Environmental Geography Department, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
* Corresponding author: email@example.com
Blue Lagoon Tourism Village is one of the developing tourism villages in Sleman Regency. Blue Lagoon Tourism Village has great potential to become an advanced tourism village when viewed from the aspect of attraction, accessibility, facilities, and ancillary services (4A). Research objectives are to calculate the economic valuation using the travel cost method and calculate bequest value of the Blue Lagoon Tourism Village. This research conducted by sequential explanatory technique that uses quantitative and qualitative methods in sequence. Assessment of the economic value of tourism activities in the Blue Lagoon analyzed using the Individual Travel Cost Method (ITCM). Multiple linear regression tests were also conducted to obtain the value of regression function. Otherwise calculation of bequest value is carried out using the contingency valuation method (CVM) in the form of willingness to pay (WTP). Potential economic value of Blue Lagoon Tourism Village is IDR 6 019 052 924 yr–1, while actual economic income is IDR 1 802 827 450 or 23.05 % of economic potential. Bequest value of Blue Lagoon is IDR 610 521 783 yr–1 with 6.45 ha of area, so bequest value based on area is IDR 94 650 758.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.