Economic Valuation of Three Coastal Tourism Objects Owned by the Local Government of Tulungagung Regency
Abstract
This study aims to evaluate three beach tourism destinations managed as assets by the Tulungagung Regency Government, namely Popoh Beach, Sidem Beach, and Sine Beach, to optimize their management and revenue generation for the benefit of the community and the region. The research employs an inferential quantitative method using negative binomial regression techniques, based on primary data collected through direct visitor surveys conducted in 2023. The fundamental model is developed using the Travel cost Method (TCM) as a concept to assess demand for environmental services in the form of recreational activities. The economic valuation results show that using the TCM method, the three beaches possess moderate potential value for commercialization. However, based on the annual revenue data, the total income generated by these beaches remains below IDR 1 billion, indicating challenges in promotion/branding, management, and commercialization (sales) strategies that need to be addressed moving forward. Meanwhile, the calculation of Willingness to pay (WTP) using the Contingent Valuation Method (CVM) focuses solely on the willingness to pay for increased ticket prices. When analyzing the consumer surplus values of each beach destination, it is evident that the consumer surplus significantly exceeds the total WTP
References
Ariyanto. (2005). Ekonomi Pariwisata. Jakarta: Rineka Cipta.
Berk, R. & MacDonald, J.M. (2008). Overdipersion and Poisson Regression. Philadephia: Springer.
Bowker, J. M., English, D. B. K., & Donovan, J. A. (1996). Toward a value for guided rafting on southern rivers. Journal of Agricultural and Applied Economics, 28(2), 423-432. https://doi.org/10.1017/S1074070800007410
Cameron, A. C., & Trivedi, P. K. (2010). Microeconometrics using stata (Vol. 2). College Station, TX: Stata press.
Chan-Halbrendt, C., Lin, T., Yang, F., & Sisior, G. (2010). Hawaiian residents’ preferences for miconia control program attributes using conjoint choice experiment and latent class analysis. Environmental management, 45, 250-260. https://doi.org/10.1007/s00267-009-9415-4
Clawson, M. (1958). An institutional innovation to facilitate land use changes in the Great Plains. Land Economics, 34(1), 74-79. https://doi.org/10.2307/3144447
Clawson, M. (1959). Methods of measuring the demand for and value of outdoor recreation. Travel Research Bulletin, 10(3). https://doi.org/10.1177/004728757201000331
Clawson, M. & J. Knetsch. (1996). Economics of Outdoor recreation. Baltimore: John Hopkins University Press.
Czajkowski, M., Giergiczny, M., Kronenberg, J., & Tryjanowski, P. (2012). The economic value of a White Stork nesting colony: a case of a ‘stork village’in Poland (No. 2012-11). https://www.wne.uw.edu.pl/inf/wyd/WP/WNE_WP77.pdf
du Preez, M., & Hosking, S. G. (2010). Estimating the recreational value of freshwater inflows into the Klein and Kwelera estuaries: an application of the zonal travel cost method. Water Sa, 36(5). https://doi.org/10.4314/wsa.v36i5.61989
du Preez, M., & Hosking, S. G. (2011). The value of the trout fishery at Rhodes, North Eastern Cape, South Africa: a travel cost analysis using count data models. Journal of Environmental Planning and Management, 54(2), 267-282. https://doi.org/10.1080/09640568.2010.505837
Edwards, P. E. T., Parsons, G. R., & Myers, K. H. (2011). The economic value of viewing migratory shorebirds on the Delaware Bay: an application of the single site travel cost model using on-site data. Human Dimensions of Wildlife, 16(6), 435-444. https://doi.org/10.1080/10871209.2011.608180
Fauzi, A. (2006). Ekonomi Sumber Daya Alam dan Lingkungan. Jakarta: Gramedia Pustaka Utama.
Finkl, C. W. (2014). Beach. In J. Harff, M. Meschede, S. Petersen, & J. Thiede (Eds.), Encyclopedia of Marine Geosciences (pp. 1–9). Dordrecht: Springer. https://doi.org/10.1007/978-94-007-6644-0_139-1
Flayou, L., Snoussi, M., Otmane, R., & Khalfaoui, O. (2018). Valuing the economic costs of beach erosion related to the loss in the tourism industry: The case of tetouan coast (morocco). In In A. Kallel, M. Ksibi, H. Ben Dhia, & N. Khélifi (Eds.), Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (pp. 1633–1636). Cham: Springer. https://doi.org/10.1007/978-3-319-70548-4_473
Gujarati, D.N., & Porter, D.C. (2009) Basic Econometrics (5th ed.). New York: McGraw Hill Inc.
Haab, T. C., & McConnell, K. E. (2002). Valuing environmental and natural resources: the econometrics of non-market valuation. In Valuing environmental and natural resources. Cheltenham: Edward Elgar Publishing Limited.
Hellerstein, D. M. (1991). Using count data models in travel cost analysis with aggregate data. American journal of agricultural economics, 73(3), 860-866. https://doi.org/10.2307/1242838
Hilbe J.A. (2011). Negative Binomial Regression. Cambridge: Cambridge University Press
Hotelling, H. (1949). Letter to the director of the National Park Service. The Economics of Public Recreation: The Prewitt Report, 18, 1947.
Iamtrakul, P., Teknomo, K., & Hokao, K. (2005). Public park valuation using travel cost method. Proceedings of the Eastern Asia Society for Transportation Studies, 5, 1249-264.
Jala., & Nandagiri, L. (2015). Evaluation of economic value of Pilikula Lake using travel cost and contingent valuation methods. Aquatic Procedia, 4, 1315-1321. https://doi.org/10.1016/j.aqpro.2015.02.171
Jennings, S., & Brander, K. (2010). Predicting the effects of climate change on marine communities and the consequences for fisheries. Journal of Marine Systems, 79(3-4), 418-426. https://doi.org/10.1016/j.jmarsys.2008.12.016
Kengen, S. (1997). Forest Valuation for Decision Making Lessons of Experience and Proposals for Improvement. Rome: Food and Agriculture Organization of the United Nations.
Kementerian Lingkungan Hidup Indonesia, (2012). Peraturan Menteri Negara Lingkungan Hidup Indonesia Nomor 15 Tahun 2012 tentang Panduan Valuasi Ekonomi Ekosistem Hutan. Jakarta: Kementerian Lingkungan Hidup Republik Indonesia.
Mendelsohn, R., & Olmstead, S. (2009). The economic valuation of environmental amenities and disamenities: methods and applications. Annual Review of Environment and Resources, 34, 325-347.
Numna, S. (2009). Analysis of extra zero counts using zero-inflated Poisson models (Doctoral dissertation). Prince of Songkla University
Okojie, L. O., & Orisajimi, O. S. (2011). Valuation of the recreational benefits of Old Oyo National Park, Nigeria: a travel cost method analysis. Journal of Food, Agriculture & Environment, 9(1), 521-525. https://www.cabidigitallibrary.org/doi/full/10.5555/20113130259
Pak, M., & Türker, M. F. (2006). Estimation of Recreational Use Value of Forest Resources by Using Individual Travel cost and Contingent Valuation Methods (Kayabasi Forest Recreation Site Sample). Journal of Applied Science, 6(1), 1-5.
Parsons, G. R. (2003). The Travel Cost Model. In: Champ, P. A., Boyle, K. J., Brown, T. C. (Eds.), A Primer on Nonmarket Valuation (Vol 3., pp. 269–329). Dordrecht: Springer. https://doi.org/10.1007/978-94-007-0826-6_9
Pearce, D. W. & Moran, D. (1994). The Economic Value of Biodiversity. London: Earthscan Publication Limited.
Perman, R. (2003). Natural Resources and Environmental Economics. Third Edition. London: Pearson Education Limited.
Riduan, R., & Akdon, A. (2006). Rumus dan data dalam aplikasi statistika untuk penelitia. Bandung: Alfabeta.
Sanim, B. (1997). Sumber daya Lingkungan dan Kesejahteraan Publik (Suatu Tinjauan Teoritis dan Kajian Praktis). Bogor: IPB Press.
Shen, Z., Wakita, K., Oishi, T., Yagi, N., Kurokura, H., Blasiak, R., & Furuya, K. (2015). Willingness to pay for ecosystem services of open oceans by choice- based conjoint analysis: A case study of Japanese residents. Journal of Ocean & Coastal Management, 103, 1-8. https://doi.org/10.1016/j.ocecoaman.2014.10.016
Shrestha, R. K., Stein, T. V., & Clark, J. (2007). Valuing nature-based recreation in public natural areas of the Apalachicola River region, Florida. Journal of environmental management, 85(4), 977-985. https://doi.org/10.1016/j.jenvman.2006.11.014
Siderelis, C., & Moore, R. (1995). Outdoor recreation net benefits of rail-trails. Journal of Leisure Research, 27(4), 344-359. https://doi.org/10.1080/00222216.1995.11949754
Subanti, S. (2013). Pengukuran Manfaat Ekonomi Obyek Wisata Kawasan Rawa Pening Kab.Semarang. Prosiding Seminar Nasional Statistika ISBN: 978-602-14387-0-1.
Suparmoko, M., & Suparmoko, M. R. (2011). Ekonomika Lingkungan. Edisi Kedua. Yogyakarta: Fakultas Ekonomika dan Bisnis UGM.
Tang, T. (2009). An Application of Travel cost Method to Yuelu Mountain Park in Changsha, China [Thesis]. Helsinki Faculty of Agriculture and Forestry University of Helsinki
Thébault, H., Scheurle, C., Duffa, C., & Boissery, P. (2014). Valuation and sensitivity of socio-economic activities along the French mediterranean coast. International Journal of Sustainable Development and Planning, 9(6), 754–768. https://doi.org/10.2495/SDP-V9-N6-754-768
Torres, C., & Hanley, N. (2017). Communicating research on the economic valuation of coastal and marine ecosystem services. Marine Policy, 75, 99–107. https://doi.org/10.1016/j.marpol.2016.10.017
Tourkolias, C., Skiada, T., Mirasgedis, S., & Diakoulaki, D. (2015). Application of the travel cost method for the valuation of the Poseidon temple in Sounio, Greece. Journal of Cultural Heritage, 16(4), 567-574. https://doi.org/10.1016/j.culher.2014.09.011
Treviño, E., Hoyos, D., & Sainz de Murieta, E. (2022). Economic Valuation of Ocean-Based and Ocean-Related Tourism and Recreation. In The Blue Economy: An Asian Perspective. https://doi.org/10.1007/978-3-030-96519-8_13
Trice, A. H., & Wood, S. E. (1958). Measurement of recreation benefits. Land economics, 34(3), 195-207. https://doi.org/10.2307/3144390
UCLA (University of California, Los Angeles). (2013). Data Analysis Examples, Stata Data Analysis Examples Negative Binomial Regression, (Online), (http://www.ats.ucla.edu/stat/stata/dae/nbreg.htm)
Yang, W., Cai, F., Liu, J., Zhu, J., Qi, H., & Liu, Z. (2021). Beach economy of a coastal tourist city in China: A case study of Xiamen. Ocean and Coastal Management, 211. https://doi.org/10.1016/j.ocecoaman.2021.105798
Zhai, G., & Suzuki, T. (2009). Evaluating economic value of coastal waterfront in Tokyo Bay, Japan with willingness-to-accept measure. Water Resources Management, 23(4), 633–645. https://doi.org/10.1007/s11269-008-9292-2
Copyright (c) 2025 Angga Erlando, Zaenal Fanani, Andre Pupung Darmawan, Reni Sri Hapsari, Ahmad Ibnu Riza, Annisa Nurul Hakim
This work is licensed under a Creative Commons Attribution 4.0 International License.
