Abstract:
Sri Lankan government views the tourism industry as an engine for economic
growth. It has taken various steps to improve the performance of the sector.
However, only few studies have focused on the performance of the industry.
Therefore, current study evaluates the technical efficiency of tourism using different
Data Envelopment Analysis (DEA) with specifications related to different outcomes
of tourism. Tourism earnings, direct employment generation and foreign guest
nights were the outputs considered whereas number of beds / number of hotel
rooms, international tourist arrivals and all item tourist price index were treated as
inputs used in different models. Finally, a single model was estimated
amalgamating all three different outputs into one model. All DEA models were
estimated using multi - stage DEA estimation procedure. Then, causality tests
between economic growth and technical efficiency of tourism industry were
performed to detect contribution from tourism to economic growth. Findings of this
study revealed that the tourism industry has been operating inefficiently during last
30 years and has possibilities for improvements altering the inputs of the industry.
According to the granger causality test, the level of technical efficiency of tourism
industry directly affects economic growth in Sri Lanka and not vice versa. It
revealed that investing on construction of hotels is a waste of resources and some
strategies should be formulated to control tourist prices. Marketing or promotional
strategies need to be initiated to increase international visitor arrivals as well as
average room occupancy rates. It further revealed that tourism industry has been
operating under decreasing returns. When earnings considered as an output,
decreasing earnings directly affects the productivity of the sector.
