To evaluate the comprehensive impacts of tourism in Hainan, this paper proposes an approach integrating
input-output (IO) model with multi-criteria decision making (MCDM) methods. Four steps are taken: (1) constructing an extended
IO model that can separate out domestic and imported effects from the traditional IO system; (2) constituting a 3-level evaluation
criteria hierarchy based on various tourism multipliers obtained from the extended IO model; (3) calculating the weights of
criteria using the entropy theory; (4) giving an evaluation of comprehensive impacts of tourism based on four MCDM methods – WSM,
TOPSIS, ELECTRE, and PROMETHEE. Using Hainan 2002, 2007, and 2012 IO tables as database, the proposed approach is implemented
in the empirical study of Hainan. The results show economic dimension is the most important consideration and the overall
performance of tourism in Hainan shows a trend of first increasing and then decreasing from 2002 to 2012. Two types sensitivity
analysis of weights show single criterion weight change has little influence on the results. But it is different when four
dimensions weights change. Especially, when the environmental dimension is valued, the overall performance gets worse annually.
These findings can offer insightful policies for the development of Hainan’s tourism.
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