IDEAS home Printed from https://ideas.repec.org/p/rza/wpaper/743.html
   My bibliography  Save this paper

Recreation Demand and Optimal Pricing for International Visitors to Kruger National Park

Author

Listed:
  • Edwin Muchapondwa
  • Eyoual Demeke
  • Samson Mukanjari

Abstract

Sustainable financing of conservation is a key challenge in developing countries, due to competing needs. Increasingly, national parks are expected to undertake local community development – at a time when the conservation mandate and threats to conservation have increased signicantly, while traditional transfers from the State have been declining. We demonstrate the potential of park […]

Suggested Citation

  • Edwin Muchapondwa & Eyoual Demeke & Samson Mukanjari, 2018. "Recreation Demand and Optimal Pricing for International Visitors to Kruger National Park," Working Papers 743, Economic Research Southern Africa.
  • Handle: RePEc:rza:wpaper:743
    as

    Download full text from publisher

    File URL: https://econrsa.org/wp-content/uploads/2022/06/working_paper_743.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter H. Pearse, 1968. "A New Approach to the Evaluation of Non-Priced Recreational Resources," Land Economics, University of Wisconsin Press, vol. 44(1), pages 87-99.
    2. Lisa C. Chase & David R. Lee & William D. Schulze & Deborah J. Anderson, 1998. "Ecotourism Demand and Differential Pricing of National Park Access in Costa Rica," Land Economics, University of Wisconsin Press, vol. 74(4), pages 466-482.
    3. Michael D. Creel & John B. Loomis, 1990. "Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 434-441.
    4. Johane Dikgang & Edwin Muchapondwa, 2017. "Local communities’ valuation of environmental amenities around the Kgalagadi Transfrontier Park in Southern Africa," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 6(2), pages 168-182, April.
    5. Douglas M. Larson & Sabina L. Shaikh, 2004. "Recreation Demand Choices and Revealed Values of Leisure Time," Economic Inquiry, Western Economic Association International, vol. 42(2), pages 264-278, April.
    6. Burt, Oscar R & Brewer, Durward, 1971. "Estimation of Net Social Benefits from Outdoor Recreation," Econometrica, Econometric Society, vol. 39(5), pages 813-827, September.
    7. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-112, February.
    8. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
    9. Joe Amoako-Tuffour & Roberto Martínez-Espiñeira, 2012. "Leisure and the Net Opportunity Cost of Travel Time in Recreation Demand Analysis: An Application to Gros Morne National Park," Journal of Applied Economics, Taylor & Francis Journals, vol. 15(1), pages 25-49, May.
    10. Daniel M. Hellerstein, 1991. "Using Count Data Models in Travel Cost Analysis with Aggregate Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 860-866.
    11. Feather, Peter & Shaw, W. Douglass, 1999. "Estimating the Cost of Leisure Time for Recreation Demand Models," Journal of Environmental Economics and Management, Elsevier, vol. 38(1), pages 49-65, July.
    12. Rakhal Sarker & Yves Surry, 2004. "The Fast Decay Process in Outdoor Recreational Activities and the Use of Alternative Count Data Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 701-715.
    13. Egan, Kevin & Herriges, Joseph, 2006. "Multivariate count data regression models with individual panel data from an on-site sample," Journal of Environmental Economics and Management, Elsevier, vol. 52(2), pages 567-581, September.
    14. Johane Dikgang & Edwin Muchapondwa, 2017. "The determination of park fees in support of benefit sharing in Southern Africa," Tourism Economics, , vol. 23(6), pages 1165-1183, September.
    15. Carolyn Fischer & Edwin Muchapondwa & Thomas Sterner, 2011. "A Bio-Economic Model of Community Incentives for Wildlife Management Under CAMPFIRE," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(2), pages 303-319, February.
    16. Fezzi, Carlo & Bateman, Ian J. & Ferrini, Silvia, 2014. "Using revealed preferences to estimate the Value of Travel Time to recreation sites," Journal of Environmental Economics and Management, Elsevier, vol. 67(1), pages 58-70.
    17. Frank J. Cesario, 1976. "Value of Time in Recreation Benefit Studies," Land Economics, University of Wisconsin Press, vol. 52(1), pages 32-41.
    18. William G. Brown & Farid Nawas, 1973. "Impact of Aggregation on the Estimation of Outdoor Recreation Demand Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(2), pages 246-249.
    19. Grogger, J T & Carson, Richard T, 1991. "Models for Truncated Counts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(3), pages 225-238, July-Sept.
    20. Navrud, StAle & Mungatana, E. D., 1994. "Environmental valuation in developing countries: The recreational value of wildlife viewing," Ecological Economics, Elsevier, vol. 11(2), pages 135-151, November.
    21. Kenneth E. McConnell, 1975. "Some Problems in Estimating the Demand for Outdoor Recreation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(2), pages 330-334.
    22. Johane Dikgang & Edwin Muchapondwa & Jesper Stage, 2017. "Securing benefits for local communities from international visitors to the Kgalagadi Transfrontier Park," Tourism Economics, , vol. 23(8), pages 1553-1567, December.
    23. Mario du Preez & Stephen Hosking, 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, Taylor & Francis Journals, vol. 54(2), pages 267-282.
    24. V. Kerry Smith & Raymond J. Kopp, 1980. "The Spatial Limits of the Travel Cost Recreational Demand Model," Land Economics, University of Wisconsin Press, vol. 56(1), pages 64-72.
    25. Pandit, Ram & Dhakal, Maheshwar & Polyakov, Maksym, 2015. "Valuing access to protected areas in Nepal: The case of Chitwan National Park," Tourism Management, Elsevier, vol. 50(C), pages 1-12.
    26. Englin Jeffrey & Shonkwiler J. S., 1995. "Modeling Recreation Demand in the Presence of Unobservable Travel Costs: Toward a Travel Price Model," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 368-377, November.
    27. Steven T. Yen & Wiktor L. Adamowicz, 1993. "Statistical Properties of Welfare Measures from Count-Data Models of Recreation Demand," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(2), pages 203-215.
    28. Hof, John G. & King, David A., 1992. "Recreational demand by tourists for saltwater beach days: Comment," Journal of Environmental Economics and Management, Elsevier, vol. 22(3), pages 281-291, May.
    29. Bell, Frederick W. & Leeworthy, Vernon R., 1990. "Recreational demand by tourists for saltwater beach days," Journal of Environmental Economics and Management, Elsevier, vol. 18(3), pages 189-205, May.
    30. Adams, William M. & Infield, Mark, 2003. "Who is on the Gorilla's Payroll? Claims on Tourist Revenue From a Ugandan National Park," World Development, Elsevier, vol. 31(1), pages 177-190, January.
    31. Shrestha, Ram K. & Seidl, Andrew F. & Moraes, Andre S., 2002. "Value of recreational fishing in the Brazilian Pantanal: a travel cost analysis using count data models," Ecological Economics, Elsevier, vol. 42(1-2), pages 289-299, August.
    32. Font, Antoni Riera, 2000. "Mass Tourism and the Demand for Protected Natural Areas: A Travel Cost Approach," Journal of Environmental Economics and Management, Elsevier, vol. 39(1), pages 97-116, January.
    33. Voltaire, Louinord, 2017. "Pricing Future Nature Reserves Through Contingent Valuation Data," Ecological Economics, Elsevier, vol. 135(C), pages 66-75.
    34. Peter Fix & John Loomis, 1998. "Comparing the Economic Value of Mountain Biking Estimated Using Revealed and Stated Preference," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 41(2), pages 227-236.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Isabel Mendes & Isabel Proença, 2009. "Measuring the Social Recreation Per-Day Net Benefit of Wildlife Amenities of a National Park: A Count-Data Travel Cost Approach," Working Papers Department of Economics 2009/35, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    2. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2005. "Recreation Demand Analysis under Truncation, Overdispersion, and Endogenous Stratification: An Application to Gros Morne National Park," Econometrics 0511007, University Library of Munich, Germany.
    3. Amoako-Tuffour, Joe & Martınez-Espineira, Roberto, 2008. "Leisure and the Opportunity Cost of Travel Time in Recreation Demand Analysis: A Re-Examination," MPRA Paper 8573, University Library of Munich, Germany.
    4. Sébastien Roussel & Jean-Michel Salles & Léa Tardieu, 2012. "Recreation Demand Analysis of the "Sensitive Natural Areas" (Hérault District, France) : A Travel Cost Appraisal using Count Data Models," Working Papers 12-30, LAMETA, Universtiy of Montpellier, revised Sep 2012.
    5. Isabel Mendes & Isabel Proença, 2005. "Estimating the Recreation Value of Ecosystems by Using a Travel Cost Method Approach," Working Papers Department of Economics 2005/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    6. Mikołaj Czajkowski & Marek Giergiczny & Jakub Kronenberg & Jeffrey Englin, 2019. "The Individual Travel Cost Method with Consumer-Specific Values of Travel Time Savings," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 961-984, November.
    7. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2008. "Multi-destination and multi-purpose trip effects in the analysis of the demand for trips to a remote recreational site," EERI Research Paper Series EERI_RP_2008_19, Economics and Econometrics Research Institute (EERI), Brussels.
    8. Isabel Proenca & Isabel Menes, 2000. "Measuring the Average Per Day Net Benefit of Non-consumptive Wildlife - Associated Recreation For a National Park: a Count-Data Travel Cost Approach," Regional and Urban Modeling 283600078, EcoMod.
    9. Lea Tardieu & Sébastien Roussel & Jean-Michel Salles, 2012. "Recreation demand analysis of natural areas: a revealed-preference approach," Post-Print hal-02746734, HAL.
    10. Bowker, James Michael & Starbuck, C. Meghan & English, Donald B.K. & Bergstrom, John C. & Rosenberger, Randall S. & McCollum, Daniel W., 2009. "Estimating the Net Economic Value of National Forest Recreation: An Application of the National Visitor Use Monitoring Database," Faculty Series 59603, University of Georgia, Department of Agricultural and Applied Economics.
    11. Font, Antoni Riera, 2000. "Mass Tourism and the Demand for Protected Natural Areas: A Travel Cost Approach," Journal of Environmental Economics and Management, Elsevier, vol. 39(1), pages 97-116, January.
    12. Simões, Paula & Barata, Eduardo & Cruz, Luís, 2013. "Joint estimation using revealed and stated preference data: An application using a national forest," Journal of Forest Economics, Elsevier, vol. 19(3), pages 249-266.
    13. Stephen Hynes & William Greene, 2016. "Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 348-367, June.
    14. Ovaskainen, Ville & Neuvonen, Marjo & Pouta, Eija, 2012. "Modelling recreation demand with respondent-reported driving cost and stated cost of travel time: A Finnish case," Journal of Forest Economics, Elsevier, vol. 18(4), pages 303-317.
    15. Pattiz, Brian David, 2009. "Count regression models for recreation demand: an application to Clear Lake," ISU General Staff Papers 200901010800002092, Iowa State University, Department of Economics.
    16. Arwin Pang, 2022. "Investigating heteroscedasticity using the over-dispersion parameter in a travel cost model," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 507-516, December.
    17. Chin†Huang Huang, 2017. "Estimating the environmental effects and recreational benefits of cultivated flower land for environmental quality improvement in Taiwan," Agricultural Economics, International Association of Agricultural Economists, vol. 48(1), pages 29-39, January.
    18. Erik Wallentin, 2016. "Choice of the angler," Tourism Economics, , vol. 22(6), pages 1338-1351, December.
    19. Chin-Huang Huang & Chiung-Hsia Wang, 2015. "Estimating the Total Economic Value of Cultivated Flower Land in Taiwan," Sustainability, MDPI, vol. 7(4), pages 1-19, April.
    20. Nakatani, Tomoaki & Sato, Kazuo, 2005. "Truncation and Endogenous Stratification in Various Count Data Models for Recreation Demand Analysis," SSE/EFI Working Paper Series in Economics and Finance 615, Stockholm School of Economics.

    More about this item

    Keywords

    Biodiversity conservation; Environmental Policy Analysis; Tourism and Development;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • Z30 - Other Special Topics - - Tourism Economics - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rza:wpaper:743. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Maggi Sigg (email available below). General contact details of provider: https://edirc.repec.org/data/ersacza.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.