Systematic budget allocation, Project selection, Public sector investment, Taiwan, Fuzzy MCDM, Group decision,

No abstract

In the competition of leisure resources and reduction of governmental budgets over the years, the way in which cultural museums survive and develop is a critical issue. Using the Hualien Hakka Cultural Museum as an example, this study conducted a literature review and analysis, and held local forums, workshops and in-depth interviews using a bottom-up model and an interactive model, in order to collect opinions from industry, government and academia. Through SWOT analysis, TOWS matrix theory and Analytic Network Process (ANP), this study identified the effective Co-opetition Strategy of cultural museums as a reference for the future operation of local Hakka cultural museums.

The fuzzy multicriteria grade cluster analysis model put forward by this study can objectively deal with the need priorities of tourism and leisure resources so the budget is allocated first to the projects which are in urgent need of money. Thus, the following situation can be avoided: in the traditional budget allocation of tourism and leisure resources, the tourism and leisure project submitted by all units are not partitioned off according to their different need grades but unfairly mixed together in evaluation, leaving the projects at high need grade unable promptly to obtain funds.

An increase in the number of tourists can boost the economic prosperity of tourist attractions; over-development or over-utilization of a tourist attraction will lead to the consumption of tourism resources and reduce recreational quality. This study used relevant studies on ecotourism and recreational carrying capacity and applied the Delphi-fuzzy analytic hierarchy process to identify the critical factors affecting the recreational carrying capacity of the Hualien Qixingtan coastal recreational areas, including 4 primary factors, namely, recreational environment, natural landscape, coastal animals and plants, and cultural assets, and 13 secondary factors, such as public infrastructure. The research results can be provided as reference for relevant government authorities and operators to develop measures taking into account both the resource conservation and recreational management of coastal recreational areas.