主办单位：中国气象局沈阳大气环境研究所
国际刊号：ISSN 1673-503X
国内刊号：CN 21-1531/P
气象与环境学报

气象与环境学报 ›› 2014, Vol. 30 ›› Issue (1): 100-107.doi:

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公众气象服务支付意愿影响因素研究

崔维军  向焱  陈亚兰  罗玉  顾春霞   

  1. 南京信息工程大学经济管理学院，江苏 南京 210044
  • 出版日期:2014-02-28 发布日期:2014-02-28

Study of impact factors about willingness to pay for public meteorological service

CUI Wei-jun  XIANG Yan  CHEN Ya-lan  LUO Yu  GU Chun-xia   

  1. School of Economics and Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • Online:2014-02-28 Published:2014-02-28

PDF (PC)

353

被引次数

4

摘要：

基于中国气象局2008年调查数据，运用二分Logistic回归、最优尺度回归和判定树CRT模型分析了公众气象服务支付意愿的影响因素。结果表明：个体因素中年龄与文化程度对公众气象服务支付意愿（包括是否支付与支付多少）有显著影响，而性别因素只对支付多少有显著影响，对是否支付没有显著影响；收入因素对公众气象服务支付意愿有显著影响；关注程度、天气预报准确性、天气预报及时性、气象服务总体满意度对公众气象服务支付数额多少有显著影响，但影响程度很小；个体因素与收入因素对公众气象服务支付意愿影响程度较高，而心理因素影响程度很小。

关键词: 支付意愿, Logistic回归, 最优尺度回归, 判定树CRT法

Abstract:

 Based on survey data in China Meteorological Administration in 2008, the impact factors about willingness 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 significant influence to WTP. The four factors including concerning degree for weather forecast, accuracy and timeliness of prediction, overall satisfaction on meteorological service have significant influence on WTP2, while the impact is very small. The individual factors and income have greater impact on WTP compared with the psychological factors.

Key words: Willingness to pay, Logistic regression, Optimal scaling regression, Classification regression tree (CRT) method