Abstract ▼ AI-Helper

This study deals with pricing policy within the National Park. Conjoint analysis was used to manipulate various conditions including opening of informations on collecting fee, pricing method of the fees, membership pass, levying fee office’s locations, special pricing for the locals. Data were gathe...

This study deals with pricing policy within the National Park. Conjoint analysis was used to manipulate various conditions including opening of informations on collecting fee, pricing method of the fees, membership pass, levying fee office’s locations, special pricing for the locals. Data were gathered through an onsite interview of 200 visitors in Mt. Sorak. Hypothetical fee levels were created through 16 scenarios. The results showed that different patterns of determinants were existing. For social equity, the most prominent part-worth coefficient was the price discounts for local residents, followed by public disclosure of budgeting information about collecting revenues.

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