Historical tourism is one of the biggest sources of economic development in any region and its rapid growth accompanies abundant changes. As such, it is necessary to value tourism attractions using appropriate methods in order to express the importance of historical tourism as well as convert it into monetary values. In the present study, the recreational value of the largest museum in the southeastern Iran located in Sistan and Baluchistan province was estimated using the conditional valuation method whereas the Logistic regression method was taken into account to investigate the factors affecting the willingness of visitors to pay for the improvement and protection of this museum. For this purpose, first, the sample size was determined based on Cochran's method, and then the data were collected through a questionnaire and face-to-face interviews. The results showed that the variables such as "occupation", "income", "visited season" and "maximum offered amount” have had a significant effect on people's willingness to pay, but the variables like "age", "gender", "marital status", "education”, "number of household members", "conveyance", "being native or non-native", "main purpose of visit" and "attractiveness of the area" have had no significant effect. Also, based on the calculations, the average inclination of each visitor to pay in order to protect and improve the condition of the museum of Southeast Iran was 100,950 Rials per month, and its annual recreational value was estimated to 4,554,860 Rials, which showed the high importance of this museum for visitors.
Article Type:
Original Research |
Subject:
tourism planning and space economy Received: 2024/01/5 | Accepted: 2024/03/1 | Published: 2023/12/22