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Visitors’ Preferences on the Characteristics of Bogor Botanical Gardens

Author

Listed:
  • Sigit Dian Affandi

    (Master Program of Economic Planning and Public Policy, Universitas Indonesia, Jakarta City 10430, Indonesia)

  • Alin Halimatussadiah

    (Department of Economics, Universitas Indonesia, Depok City 16424, Indonesia)

  • Farha Widya Asrofani

    (School of Environmental Science, Universitas Indonesia, Jakarta City 10430, Indonesia)

Abstract

This study aims to estimate the economic benefits of the Bogor Botanical Gardens (BBG) in terms of willingness to pay (WTP) and, using the estimation, to make a scenario of the entrance fee. Data were collected through a survey among 414 local visitors using the travel cost method (TCM) and choice modeling method (CM). The result from the TCM reveals that travel cost, gender, and education significantly affect the number of visits to the BBG. The value of consumer surplus amounts to IDR 582,072 (USD 40.90) and the total value of benefits obtained is IDR 728.8 billion (USD 51.21 million) per year. Meanwhile, the CM result shows that compensating surplus is estimated at IDR 19,704 (USD 1.38) and the total value of benefits is IDR 24.67 billion (USD 1.73 million) per year. The CM shows that the attributes of service cars as well as information and environmental educational tools and infrastructure have positive and significant values to the visitors. Thus, there is a potential to increase the entrance fee for tourists to become IDR 20,629 (USD 1.45) per visit. Through the increase in entrance fee, the BBG could generate a potential revenue of IDR 25.83 billion (USD 1.81 million) per year, which can improve the number of plant species, information and environmental educational tools and infrastructures, and service cars inside the BBG.

Suggested Citation

  • Sigit Dian Affandi & Alin Halimatussadiah & Farha Widya Asrofani, 2020. "Visitors’ Preferences on the Characteristics of Bogor Botanical Gardens," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9489-:d:445183
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    References listed on IDEAS

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    1. Wang, Xuehong & Bennett, Jeff & Xie, Chen & Zhang, Zhitao & Liang, Dan, 2007. "Estimating non-market environmental benefits of the Conversion of Cropland to Forest and Grassland Program: A choice modeling approach," Ecological Economics, Elsevier, vol. 63(1), pages 114-125, June.
    2. van Zanten, Boris T. & Verburg, Peter H. & Scholte, S.S.K. & Tieskens, K.F., 2016. "Using choice modeling to map aesthetic values at a landscape scale: Lessons from a Dutch case study," Ecological Economics, Elsevier, vol. 130(C), pages 221-231.
    3. Paul Mwebaze & Jeff Bennett, 2012. "Valuing Australian botanic collections: a combined travel-cost and contingent valuation study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 498-520, October.
    4. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, January.
    5. Estifanos, Tafesse Kefyalew & Polyakov, Maksym & Pandit, Ram & Hailu, Atakelty & Burton, Michael, 2020. "Managing conflicts between local land use and the protection of the Ethiopian wolf: Residents’ preferences for conservation program design features," Ecological Economics, Elsevier, vol. 169(C).
    Full references (including those not matched with items on IDEAS)

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