气象与环境学报Issue(1)：100-107,8.DOI:10.3969/j.issn.1673-503X.2014.01.016
公众气象服务支付意愿影响因素研究
Study of impact factors about willingness to pay for public meteorological service
摘要
Abstract
Based on survey data in China Meteorological Administration in 2008,the impact factors about willing-ness to pay(WTP)for public meteorological service were analyzed by the methods of a binary Logistic regression, an optimal scaling regression and a classification regression tree(CRT).The results show that the individual factors such as age and education level have significant influence on WTP including whether to pay (WTP1 )and how much to pay(WTP2),while gender has only significant influence on WTP2 but not on WTP1 .The income has sig-nificant influence to WTP.The four factors including concerning degree for weather forecast,accuracy and timeli-ness of prediction,overall satisfaction on meteorological service have significant influence on WTP2 ,while the im-pact is very small.The individual factors and income have greater impact on WTP compared with the psychological factors.关键词
支付意愿/Logistic回归/最优尺度回归/判定树CRT方法Key words
Willingness to pay/Logistic regression/Optimal scaling regression/Classification regression tree (CRT)method分类
天文与地球科学引用本文复制引用
崔维军,向焱,陈亚兰,罗玉,顾春霞..公众气象服务支付意愿影响因素研究[J].气象与环境学报,2014,(1):100-107,8.基金项目
公益性行业（气象）科研专项（GYHY201106037）和中国气象局气象软科学项目“公共气象服务效益评估方法研究”共同资助。 （）
