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Competitive pricing in the golf industry

Author

Listed:
  • Cathy A. Enz

    (Cornell University)

  • Linda Canina

    (Cornell University)

Abstract

In this paper, we estimate the price elasticities of golf course demand, and then examine how pricing relative to competitors further shapes demand (course utilization) and revenue per available tee time round (RevPATR). Using a set of data for an entire destination golf market of 80 golf courses between 2012 and 2014, we examined price elasticity by course quality tier, customer segments (i.e., player types), month of the year, and day of the week. The sample used to calculate elasticities consisted of 140,567 daily rounds of golf. The average daily rates were aggregated from transaction data based on over 2 million rounds of golf booked annually in the market for the 3-year period. We find that during the entire sampling period the demand for golf was primarily price inelastic, suggesting that a drop in price will not have a significant positive impact on demand and revenue will decrease. Our examination of relative price position using a sub-sample from 2013 revealed that courses that priced above their competition not only reaped higher RevPATR, but also experienced higher daily course utilization. These finds suggest that given price inelasticity in the golf market studied, higher priced golf courses are able to extract both a revenue and a course utilization premium. Nevertheless, the full opportunity for maximizing revenue in the market using revenue management techniques has yet to be exploited.

Suggested Citation

  • Cathy A. Enz & Linda Canina, 2017. "Competitive pricing in the golf industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(2), pages 139-153, April.
    • Handle: RePEc:pal:jorapm:v:16:y:2017:i:2:d:10.1057_s41272-016-0075-8
    DOI: 10.1057/s41272-016-0075-8
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    References listed on IDEAS

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    1. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
    2. Lila Rasekh & Yihua Li, 2011. "Golf Course Revenue Management," Palgrave Macmillan Books, in: Ian Yeoman & Una McMahon-Beattie (ed.), Revenue Management, chapter 18, pages 246-256, Palgrave Macmillan.
    3. Frank F. Limehouse & Peter C. Melvin & Robert E. McCormick, 2010. "The Demand for Environmental Quality: An Application of Hedonic Pricing in Golf," Journal of Sports Economics, , vol. 11(3), pages 261-286, June.
    4. Frank Limehouse & Michael Maloney & Kurt Rotthoff, 2012. "Peak-Load Versus Discriminatory Pricing: Evidence from the Golf Industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 40(3), pages 151-165, May.
    5. Eric A. Greenleaf, 1995. "The Impact of Reference Price Effects on the Profitability of Price Promotions," Marketing Science, INFORMS, vol. 14(1), pages 82-104.
    6. Yuri Levin & Jeff McGill & Mikhail Nediak, 2009. "Dynamic Pricing in the Presence of Strategic Consumers and Oligopolistic Competition," Management Science, INFORMS, vol. 55(1), pages 32-46, January.
    7. Goodman, Allen C. & Thibodeau, Thomas G., 1998. "Housing Market Segmentation," Journal of Housing Economics, Elsevier, vol. 7(2), pages 121-143, June.
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    1. Jesús Manuel López-Bonilla & María Del Carmen Reyes-Rodríguez & Luis Miguel López-Bonilla, 2018. "The Environmental Attitudes and Behaviours of European Golf Tourists," Sustainability, MDPI, vol. 10(7), pages 1-16, June.

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