Determinants of willingness to pay for entrance to urban parks: A quantile regression analysis

Although the willingness to pay for parks and protected areas has been widely re-searched, the differentiation of determinants within different levels of payment presents significant limitations. Quantile regression, through which this differentiation is detected, has been applied mainly to specific methods of economic valuation (e.g. hedonic), while the contingent valuation method is the most common method of valuing parks. Given this research gap, the present paper applies quantile and multiple regressions to identify the determinants of the willingness to pay for entry into urban parks. The contingent valuation method was used for the case studies of two urban parks in Greece. The survey was conducted between July 2018 and March 2019 and the final sample consisted of 761 visitors. The results showed that the cost of the entrance ticket varies according to the park's attributes. Demographic factors, such as gender, age and income affect willingness to pay. Those who have previously paid for entrance to parks and green spaces are willing to pay more money for their entry. Other factors (e.g. motivation to visit, distance and length of stay in the parks) were also found to have a statistically significant effect on individuals' decisions. (C) 2022 Economic Society of Australia, Queensland. Published by Elsevier B.V. All rights reserved.

Automated summary

This study uses quantile and multiple regressions to analyze the determinants of willingness to pay for entry into urban parks. The results indicate that park attributes, demographic factors, and other factors have a significant impact on willingness to pay.