AJIBM  Vol.6 No.6 , June 2016
An Empirical Investigation into the Effect of Enhancing Airline Capacity on Load Factor: A Case of Kenya’s Low-Cost Carriers
Abstract: This paper reports the findings of an empirical study on the low-cost airline market. A lot of literatures on low-cost carriers’ business model agree that low-cost airlines operate with high load factors. However, due to variations in the market development life cycle of low-cost carriers from one region to another, empirical evidences have shown mixed results of the effect of increasing airline capacity on load factor. The paper therefore extends this analysis by examining two airlines in Kenya over 72 months period; and explores such impact using panel data to capture both time-series and cross-sectional elements over the period. Findings indicate that fleet capacity is a significant positive predictor of load factor. The paper finally underlines that increasing capacity by 1 seat will result in an increase of 0.03% in load factor.
Cite this paper: Aomo, M. , Oima, D. and Oginda, M. (2016) An Empirical Investigation into the Effect of Enhancing Airline Capacity on Load Factor: A Case of Kenya’s Low-Cost Carriers. American Journal of Industrial and Business Management, 6, 717-731. doi: 10.4236/ajibm.2016.66066.

[1]   Macário, R., Viegas, J. and Reis, V. (2007) Impact of Low Cost Operation in the Development of Airports and Local Economies.

[2]   Franke, M. (2004) Competition between Network Carriers and Low Cost Carriers—Retreat Battle or Breakthrough to a New Level of Efficiency? Journal of Air Transport Management, 10, 15-21.

[3]   Vidovic, A., Steiner, S. and Babic, R. (2007) Impact of Low Cost Airlines on the European Air Transport Market. /260325.ICTS_06_vidovic.pdf

[4]   Schofer, J., Nelson, B., Eash, R., Daskin, M., Yang, Y, Wan, H. and Medgyesy, L. (2003) TCRP Report 98: Resource Requirements for Demand-Responsive Transportation Services. TRB, National Research Council, Washington DC.

[5]   Tolliver-Nigro, H. (1999) Choosing a Shuttle Bus: What Should Agencies Look for When Purchasing Vehicles for Their Fleets? Mass Transit, 37, 42-48.

[6]   Fu, L. (2003) Analytical Model for Paratransit Capacity and Quality-of-Service Analysis. Transportation Research Record: Journal of the Transportation Research Board, 1841, 81-89.

[7]   Fu, L. and Ishkhanov, G. (2004) Fleet Size and Mix Optimization for Paratransit Services. University of Waterloo, Ontario.

[8]   Pai, V. (2007) On the Factors That Affect Airline Flight Frequency and Aircraft Size. Irvine Department of Economics, University of California.

[9]   Borenstein, S. (2012) Moving beyond Deregulation: Why Can’t US Airlines Make Money? American Economic Review, 101, 233-237.

[10]   Babikian, R., Lukacho, S. P. and Waitz, I.A. (2002) The Historical Fuel Efficiency Characteristics of Regional Aircraft from Technological, Operational, and Cost Perspectives. Journal of Air Transport Management, 8, 389-400.

[11]   Brueckner, J.K. (2004) Network Structure and Airline Scheduling. Journal of Industrial Economics, 52, 291-311.

[12]   Najda, C. (2003) Low-Cost Carriers and Low Fares: Competition and Concentration in the US Airline Industry. Department of Economics, Stanford University, Stanford.

[13]   Borenstein, S. (2011) What Happened to Airline Market Power? Duke University.

[14]   Rupp, N. G. (2007, May 20). Further investigations into the causes of flight delays. Department of Economics, East Carolina University Greenville.

[15]   Tesfay, Y. and Solibakke, P. (2015) Spectral Density Estimation of European Airlines Load Factors for Europe-Middle East and Europe-Far East Flights. European Transport Research Review, 7, 1-14.

[16]   IATA (2015) Passenger Demand Maintains Historic Growth Rates in 2013. International Air Transport Association (IATA), Geneva.

[17]   Jenatabadi, H. and Ismail, N. (2007) The Determination of Load Factors in the Airline Industry. International Review of Business Research Papers, 3, 125-133.

[18]   Ramdas, K. and Williams, J. (2008) An Empirical Investigation into the Trade-Offs that Impact On-Time Performance in the Airline Industry.

[19]   ICAO (2003) The Impact of Low Cost Carriers in Europe. ICAO, Montreal.

[20]   Rosenstein, D.E. (2013) The Changing Low-Cost Airline Model: An Analysis of Spirit Airlines. Aviation Technology Graduate Student Publications. Department of Aviation University, Purdue University: E-Pubs.

[21]   O’Connell, J. and Williams, G. (2007) The Strategic Response of Full Service Airlines to the Low Cost Carrier Threat and the Perception of Passengers to Each Type of Carrier. Ph.D. Thesis, School of Engineering, Cranfield University, Cranfield.

[22]   Campisi, D., Costa, R. and Mancuso, P. (2010) The Effects of Low Cost Airlines Growth in Italy. Modern Economy, 1, 59-67.

[23]   Alamdari, F. and 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.

[24]   Chowdhury, E. (2007) Low Cost Carriers: How Are They Changing the Market Dynamics of the U.S. Airline Industry? An Honours Essay, Department of Economics, Carleton University, Ottawa.

[25]   Smyth, M. and Pearce, B. (2006) IATA—Economic Briefing: Airline Cost Performance. IATA, Geneva.

[26]   Wensveen, J.G. (2011) Air Transportation: A Management Perspective. 7th Edition, Ashgate Publishers, Burlington.

[27]   Damuri, Y.R. and Anas, T. (2005) Strategic Directions for ASEAN Airlines in a Globalizing World: The Emergence of Low Cost Carriers in South East Asia.

[28]   Besanko, D., Dranove, D., Shanley, M. and Schaefer, S. (2004) Economics of Strategy. 3rd Edition, John Wiley and Sons, New York.

[29]   Ployhart, E. and Robert, V. (2010) Longitudinal Research: The Theory, Design, and Analysis of Change. Journal of Management, 36, 94-120.

[30]   Anastas, W. (1999) Research Design for Social Work and the Human Services. 2nd Edition, Columbia University Press, New York.

[31]   Kalaian, A. and Rafa, M. (2008) Longitudinal Studies. In: Lavrakas, P.J., Ed., Encyclopedia of Survey Research Methods, Sage, Thousand Oaks, 440-441.

[32]   Andrew, G. (2013) Statistical Modelling, Causal Inference and Social Science: What Are the Key Assumptions of Linear Regression?

[33]   Nau, R. (2016) Statistical Forecasting: Notes on Regression and Time Series Analysis. Fuqua School of Business, Duke University, Durham.

[34]   Machiwal, D. and Kumar, J.K. (2012) Hydrologic Time Series Analysis: Theory and Practice—Methods for Testing Normality of Hydrologic Time Series. Springer, Dordrecht.

[35]   Jushan, B. and Serena, N. (2005) Tests for Skewness, Kurtosis, and Normality for Time Series Data. Journal of Business & Economic Statistics, 23, 49-60.

[36]   Thode, H.C. (2002) Testing for Normality. Marcel Dekker, New York.

[37]   Startz, R. (2013) EViews Illustrated for Version 8. IHS Global Inc., Irvine.

[38]   Mikusheva, A. (2016) Economics—Time Series Analysis. Massachusetts Institute of Technology, Cambridge.

[39]   Ramsey, J.B. (1969) Tests for Specification Errors in Classical Linear Least Squares Regression Analysis. Journal of the Royal Statistical Society: Series B, 31, 350-371.

[40]   Tofallis, C. (2008) Percentage Least Squares Regression. Journal of Modern Applied Statistical Methods, 7, 526-534.

[41]   Gujarati, D.N. and Porter, D.C. (2009) Basic Econometrics. 5th Edition, McGraw-Hill/Irwin, Boston, 400.

[42]   Phillips, P. and Moon, H. (1999) Linear Regression Limit Theory for Nonstationary Panel Data. Econometrica, 67, 1057-1112.

[43]   Pedroni, P. (2000) Fully Modified OLS for Heterogeneous Cointegrated Panels. Nonstationary Panels, Panel Cointegration, and Dynamic Panels, 93-130.

[44]   Kao, C. and Chiang, M. (1997) On the Estimation and Inference of a Cointegrated Regression in Panel Data. Working Paper, Department of Economics, Syracuse University, Syracuse.

[45]   Phillips, P. and Hansen, B. (1990) Statistical Inference in Instrumental Variables Regression with I(1) Processes. Review of Economic Studies, 57, 99-125.

[46]   Hlouskova, J. and Wagner, M. (2005) The Performance of Panel Unit Root and Stationarity Tests. European University Institute, San Domenico.

[47]   Engle, R.F. and Granger, C.W.J. (1987) Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55, 251-276.

[48]   Bruderl, J. (2005) Panel Data Analysis. Lecture Notes, University of Mannheim, Mannheim.

[49]   Doane, D.P. and Lori, E.S. (2011) Measuring Skewness: A Forgotten Statistic? Journal of Statistics Education, 19, 1-18.

[50]   Kao, C., Chiang, M. and Chen, B. (1999) International R&D Spillovers: An Application of Estimation and Inference in panel Cointegration. Oxford Bulletin of Economics and Statistics, 61, 0305-9049.

[51]   Field, A.P. (2009) Discovering Statistics Using SPSS. 3rd Edition, SAGE, London.