Abstract:
This study focuses on the competition in Thailand domestic market. We analyze airline dynamic pricing behavior in both full-service and low cost carriers, and interaction of airline pricing in both short-run and long-run relationship by using Vector Error Correction Model (VECM). Data on airfares is created. We collected daily airfares from the internet, daily offer prices starting from 60 days up to one day prior departure dates with 9 domestic routes during 2 departure dates which represent to peak- and offpeak- periods. Then we use market characteristics as the criterion to separate markets into high concentration markets and low concentration market. And focus only these 3 markets which are Chiangmai, Phuket, and Chiangrai. The empirical results found that price of Thai Airways with selected airways and oil price will achieve long run relationship in high concentration markets. Cointegrating relations are found positive relationship to oil price and LCCs which are consistent with assumptions and previous studies. Relationship between prices in short run cant defined. However when any price variables arent changing, price of Thai Airways still change follow its trend that consistent with airline pricing strategy, price will increase as departure date approach, demand changing and limited capacity. In addition the model allow to investigate the reaction of Thai Airways pricing to shock for example, oil shock and airfare promotion, the relationships confirm cointegrating relationship
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