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Ryanair Strategy

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Ryanair Strategy
Journal of Air Transport Management 15 (2009) 195–203

Contents lists available at ScienceDirect

Journal of Air Transport Management journal homepage: www.elsevier.com/locate/jairtraman

Pricing strategies of low-cost airlines: The Ryanair case study
Paolo Malighetti a, *, Stefano Paleari a, Renato Redondi b a b

Department of Economics and Technology Management, University of Bergamo– Universoft, Viale Marconi 5, Dalmine 24044, Italy Department of Mechanical Engineering, University of Brescia – Universoft, Via Branze, 38 – 25123 Brescia, Italy

a b s t r a c t
Keywords: Dynamic pricing Low-cost Ryanair Fares

We analyse the pricing policy adopted by Ryanair, the main low-cost carrier in Europe. Based on a year’s fare data for all of Ryanair’s European flights, using a family of hyperbolic price functions, the optimal pricing curve for each route is estimated. The analysis shows a positive correlation between the average fare for each route and its length, the frequency of flights operating on that route, and the percentage of fully booked flights. As the share of seats offered by the carrier at the departure and destination airports increases, fares tend to decrease. The correlation of dynamic pricing to route length and the frequency of flights is negative. Conversely, as competition increases discounts on advance fares rise. Ó 2008 Elsevier Ltd. All rights reserved.

1. Introduction In recent years, the entry of low-cost carriers has totally revolutionised the air passenger transport industry. The low-cost business model was introduced by Southwest in the US at the beginning of the 1970s. However, it was only in the 1990s that the phenomenon spread worldwide. Ryanair was one of the first airlines in Europe to adopt the low-cost model in 1992. Easyjet, Ryanair’s main low-cost competitor, was founded in 1995. Although the phenomenon is relatively recent, the stunning results obtained by low-cost carriers urge academics to study the reasons for their



References: Alamdari, F., Fagan, S., 2005. Impact of the adherence to the original low-cost model on the profitability of low-cost airlines. Transport Reviews 25, 377–392. Alderighi, M., Cento, A., Nijkamp, P., Rietveld, P., 2004. The entry of low cost Airlines. Timberg Institute Discussion Paper, TI 2004-074/3. Anjos, M., Cheng, R., Currie, C., 2005. Optimal pricing policies for perishable products. European Journal of Operational Research 166, 246–254. Barbot, C., 2005. How low cost carriers complete amongst themselves and with full cost carriers. 9th Air Transport Research Society Conference, Rio de Janeiro. Borenstein, S., 1989. Hubs and high fares: dominance and market power in the U.S. airline industry. The RAND Journal of Economics 20, 344–365. Cassia, L., Fattore, M., Paleari, S., 2006. Entrepreneurial Strategy. Emerging Business in Declining Sector. Edward Elgar, Cheltenham. Doganis, R., 2006. The Airline Business, second ed. Routledge, London. Franke, M., 2004. Competition between network carriers and low-cost carriersretreat battle or breakthrough to a new level of efficiency? Journal of Air Transport Management 10, 15–21. Gallego, G., Van Ryzin, G., 1994. Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management Science 40, 999–1020. Gudmundsson, S.V., 2004. Management emphasis and performance in the airline industry: an exploratory multilevel analysis. Transportation Research E 40, 443–446. McAfee, P.R., te Velde, V., 2006. Dynamic pricing in the airline industry. In: Hendershott, T.J. (Ed.), Handbook on Economics and Information Systems. Elsevier, Amsterdam. Pels, E., Rietveld, P., 2004. Airline pricing behaviour in the London–Paris market. Journal of Air Transport Management 10, 279–283. Piga, C., Filippi, N., 2002. Booking and flying with low cost airlines. International Journal of Tourism Research 4, 237–249. Pitfield, D.E., 2005. A time series analysis of the pricing behaviour of directly competitive ‘low-cost’ airlines. International Journal of Transport Economics 32, 15–38. Smith, D., Bailey, J., Brynjolfsson, E., 2000. Understanding digital markets: review and assessment. In: Kain, E. (Ed.), Understanding the Digital Economy. MIT Press, Cambridge. Stokey, N.L., 1979. Intertemporal price discrimination. The Quarterly Journal of Economics 93, 355–371. Wilson, C.A., 1988. On the optimal pricing policy of a monopolist. Journal of Political Economy 96, 164–176. Zhao, W., Zheng, Y., 2000. Optimal dynamic pricing for perishable assets with non homogeneous demand. Management Science 46, 375–388. Fig. 12. Distribution of the optimal purchasing periods of time for 391 routes. 6. Conclusions and future developments This work has provided an in-depth analysis of the pricing strategies of low-cost carriers. We focus on the features of the demand curve, hypothesising Ryanair’s ability to maximise its profits. The price equation is obtained from an exponential demand function subject to Ryanair’s profit maximisation, and shows that, as the date of flight approaches, the price trend tends to resemble a hyperbola. The empirical analysis is based on an original database of Ryanair’s fares, made available on Ryanair’s website, for each individual route operated during the year starting the 1st July, 2005. We estimate the price trends for each individual route over the 3 months prior departure, in terms of the average fares and the dynamic pricing intensity. In general dynamic pricing intensity is strong in almost all the flights. However the phenomena is complex in terms of determinants. We find positive correlation between fares and route length, route frequency and the percentage of fully booked flights. Length and route frequency are also significant variables with negative correlation to the dynamic pricing intensity. Ryanair grants fewer discounts on long haul and high-frequency routes, despite advance purchase. We find a negative correlation between the Ryanair’s importance in the departure and arrival airports and offered fares. The offer of the discounted fares appears as an incentive to use secondary airports. However, if Ryanair plays a dominant role in the departure airport, not only average prices are lower, but also significant discounts are more likely on tickets purchased in advance. This indicates the importance for the carrier to fulfil its capacity. Surprisingly, the presence of competitors does not seem to heavily impact the average price. However, the variable representing the number of competitors operating on the same route is

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