Models and application on demand function of tourism resources

Tourists' value compensation based on social welfare economic theorem becomes one of the hot topics in natural tourism resources ecosystem which is minimizing self-supporting ability against human activities. Analyzed individual revealed preference (behavior preference) and stated preference (willingness preference) surveyed data, study on value of non-market (quasi) public goods tourism resources through demand functions, presents compensating value for tourists' enjoying aesthetic. The demand functions of continuous functions, Box-Cox models, and count models are estimated by MLE for empirical revealed preference data, and on behalf of alternative tourism resources demand functions, semi-log functions, Box-Cox I and negative binominal count models are picked up. Meanwhile, the choice demand functions are used to analysis empirical stated preference data. Furthermore, integrated empirical revealed preference and stated preference data models, demand functions are utilized to analysis value compensation and sustainable development of destroyed or improved tourism resources, as well as, Dalian coastal tourism resources study case is presented.