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... results show that the main factors affecting the WTP are gender, age, income, education level, travel times, work unit and tourism satisfaction. The regression results are shown in Table 2. After removing insignificant variables, the regression model of WTP is finally obtained, which is shown in Equation (3). ...Similar publications
The current 2011 National Occupational Competency Profile (NOCP) for paramedics is being reviewed and updated through a partnership between PAC and the CSA groups. Various national working groups, reflecting contexts of practice, were convened to inform the National Occupational Standard for Paramedics Project (NOSP 2023). This report captures the...
Citations
... Previous surveys eliciting the determinants of WTP, have mainly applied multiple linear regression with the ordinary Least square (OLS) method (e.g. Gao, 2021;Gordillo et al., 2019;Idris et al., 2022;Mahboob et al., 2021;Togridou et al., 2006;Bhattarai et al., 2021), the tobit model (e.g. Liu et al., 2021;Zabala et al., 2022) or the Heckman-two step model (Halkos and Jones, 2012;Blackwell and Asafu-Adjaye, 2020). ...
... Several studies showed that older people seem to be willing to pay more for parks and natural areas (Ashfaq et al., 2017;Khan et al., 2014;Mojiol et al., 2017;Maharana et al., 2000;Brandli et al., 2014;Lazoglou and Vagiona, 2018). The opposite conclusion however was reached by Dutta (2020), Gao (2021), Kamri et al. (2017), Lo and Jim (2010) and Reynisdottir et al. (2008), after finding that older people are willing to pay less money. ...
... Another variable in many studies that positively influences people's decisions on the amount of money they intend to pay is income (Gao, 2021;Tyrvainen and Vaananen, 1998;Maharana et al., 2000;Martin-Lopez et al., 2007;Reynisdottir et al., 2008;Lo and Jim, 2010;Ghosh and Mondal, 2013;Mamat et al., 2020;Ashfaq et al., 2017;Dutta, 2020;Kamri, 2013;Ison et al., 2021). In contrast, some other studies did not find a significant effect of income on WTP (Kamri et al., 2017;Anna and Saputra, 2017;Hilmi and Mojiol, 2017). ...
Although the willingness to pay for parks and protected areas has been widely researched, 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.
