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The determination of park fees in support of benefit sharing in Southern Africa

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  • Johane Dikgang

    (University of Johannesburg, South Africa)

  • Edwin Muchapondwa

    (University of Cape Town, South Africa; Luleå University of Technology, Sweden)

Abstract

Sharing conservation revenue with communities surrounding parks could demonstrate the link between ecotourism and local communities’ economic development, promote a positive view of land restitution involving parks, help address skewed distribution of income in the vicinity of parks and act as an incentive for local communities to participate in conservation even more. This article estimates the visitation demand function for Kgalagadi Transfrontier Park (KTP) in order to determine the appropriate conservation fee to charge visitors to maximize park revenue. The data were generated from contingent behaviour experiments on South African residents at KTP and three other parks deemed as either substitutes or complements for visitors to KTP. Our results suggest that there is sheer underselling of the recreational opportunity at KTP, which implies that there is room for generating extra revenue to support benefit sharing arrangements with the local communities. The conservation fees at KTP can increase by as much as 115%, thereby almost doubling current revenue after accounting for the drop in visitation which will be triggered by the increase.

Suggested Citation

  • 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.
  • Handle: RePEc:sae:toueco:v:23:y:2017:i:6:p:1165-1183
    DOI: 10.1177/1354816616655254
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    References listed on IDEAS

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    Cited by:

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    2. James McNamara & Elizabeth J. Z. Robinson & Katharine Abernethy & Donald Midoko Iponga & Hannah N. K. Sackey & Juliet H. Wright & EJ Milner-Gulland, 2020. "COVID-19, Systemic Crisis, and Possible Implications for the Wild Meat Trade in Sub-Saharan Africa," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 1045-1066, August.
    3. Deely, John & Hynes, Stephen & Cawley, Mary & Hogan, Sarah, 2023. "Modelling domestic marine and coastal tourism demand using logit and travel cost count models," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 123-136.
    4. Ntuli, Herbert & Muchapondwa, Edwin & Okumu, Boscow, 2020. "Can local communities afford full control over wildlife conservation? The case of Zimbabwe," Journal of choice modelling, Elsevier, vol. 37(C).
    5. 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.

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