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作 者:肖建红 李小嵩[3] XIAO Jianhong;LI Xiaosong(School of Tourism and Geography Science,Qingdao University,Qingdao 266071,China;Research Center for Marine Management Strategy,Qingdao University,Qingdao 266071,China;Business College,Qingdao University,Qingdao 266071,China)
机构地区:[1]青岛大学旅游与地理科学学院,青岛266071 [2]青岛大学经略海洋研究中心,青岛266071 [3]青岛大学商学院,青岛266071
出 处:《海洋经济》2023年第6期62-73,共12页Marine Economy
基 金:国家社会科学基金项目[17BGL247][19BJY215]。
摘 要:以舟山海滩、海洋文化和三亚海滩、珊瑚礁3种海洋旅游资源为研究对象,通过居民和游客面对面调查,共获得有效问卷4763份,运用最小二乘回归模型和分位数回归模型研究了家庭收入与支付意愿(willingness to pay,WTP)之间的关系。结果表明:(1)仅有家庭收入在最小二乘回归模型和分位数回归模型(所有分位点上)中都与WTP有显著正相关关系,说明家庭收入是WTP的主要影响因素,随着家庭收入水平的升高,WTP也会随之增大;(2)家庭收入的回归系数在分位数回归模型中呈现递增趋势,说明家庭收入对高WTP群体的影响更大,应将高收入群体作为海洋旅游资源保护政策的主要目标群体;(3)分位数回归模型得到了家庭收入与不同群体WTP之间更精确的相关关系,因此建议未来WTP影响因素的相关研究应优先选用分位数回归模型。Taking the beaches,marine culture and coral reefs of Zhoushan and Sanya as the research objects,a total of 4763 valid questionnaires were obtained through face-to-face survey of residents and tourists.This paper studied the relationship between household income and the willingness to pay(WTP)by using the ordinary least squares model and quantile regression model.The results showed that:①Only household income has a significant positive correlation with WTP in both the ordinary least squares model and quantile regression model(at all quantiles),showing that household income is the main influence factor of WTP,and WTP will increase with the increase of household income level;②The regression coefficient of household income shows an increasing trend in the quantile regression model,indicating that household income has a greater impact on the high WTP group,and the high household income group should be taken as the main target group of Marine tourism resource protection policy;③The quantile regression model can obtain a more accurate correlation between household income level and WTP of different groups.Therefore,it is suggested that the quantile regression model should be preferred in future studies on the influencing factors of WTP.
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