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Valuing Benefits of Tourism Activities in Nara Prefecture: An Application of the Kuhn–Tucker Model

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  • Tadahiro Okuyama

    (Faculty of Economics, Department of Regional Policy, University of Nagasaki, 123 Kawashimo-cho, Sasebo, Nagasaki 858-8580, Japan)

Abstract

Benefit measurements have been performed on tourism activities on the basis of demand theory or random utility theory. Recently, the Kuhn–Tucker model (KTM), which can measure more flexible patterns of preferences, has been used for benefit measurement. The purpose of this study is to measure the benefits of tourism activities in Nara Prefecture by the KTM and examine the features of the model by comparing it with the demand-based approach (DBA) and the random utility model (RUM). The benefit ranges measured by the DBA, RUM and KTM methods are 4,659–42, 874, 236–10, 06 and 289–37, 670 yen, respectively. Finally, the World Heritage Sites have larger benefits than the other sites.

Suggested Citation

  • Tadahiro Okuyama, 2012. "Valuing Benefits of Tourism Activities in Nara Prefecture: An Application of the Kuhn–Tucker Model," Tourism Economics, , vol. 18(2), pages 393-412, April.
    • Handle: RePEc:sae:toueco:v:18:y:2012:i:2:p:393-412
    DOI: 10.5367/te.2012.0111
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    References listed on IDEAS

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    1. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
    2. von Haefen R.H. & Phaneuf D.J. & Parsons G.R., 2004. "Estimation and Welfare Analysis With Large Demand Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 194-205, April.
    3. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    4. Morey, Edward R. & Shaw, W. Douglass & Rowe, Robert D., 1991. "A discrete-choice model of recreational participation, site choice, and activity valuation when complete trip data are not available," Journal of Environmental Economics and Management, Elsevier, vol. 20(2), pages 181-201, March.
    5. Eom, Young-Sook & Larson, Douglas M., 2006. "Improving environmental valuation estimates through consistent use of revealed and stated preference information," Journal of Environmental Economics and Management, Elsevier, vol. 52(1), pages 501-516, July.
    6. von Haefen, Roger H. & Phaneuf, Daniel J., 2003. "Estimating preferences for outdoor recreation:: a comparison of continuous and count data demand system frameworks," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 612-630, May.
    7. Rod F. Ziemer & Wesley N. Musser & R. Carter Hill, 1980. "Recreation Demand Equations: Functional Form and Consumer Surplus," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(1), pages 136-141.
    8. Needelman, Michael S. & Kealy, Mary Jo, 1995. "Recreational Swimming Benefits Of New Hampshire Lake Water Quality Policies: An Application Of A Repeated Discrete Choice Model," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 24(1), pages 1-10, April.
    9. Herriges, Joseph A. & Phaneuf, Daniel J., 1999. "Choice Set Definition Issues in a Kuhn-Tucker Model of Recreation Demand," Staff General Research Papers Archive 5222, Iowa State University, Department of Economics.
    10. Beal, Diana J., 1995. "A Travel Cost Analysis of the Value of Carnarvon Gorge National Park for Recreational Use," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 63(02), pages 1-12, August.
    11. Kaoru, Yoshiaki, 1995. "Measuring marine recreation benefits of water quality improvements by the nested random utility model," Resource and Energy Economics, Elsevier, vol. 17(2), pages 119-136, August.
    12. Needelman, Michael S. & Kealy, Mary Jo, 1995. "Recreational Swimming Benefits of New Hampshire Lake Water Quality Policies: An Application of a Repeated Discrete Choice Model," Agricultural and Resource Economics Review, Cambridge University Press, vol. 24(1), pages 78-87, April.
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