摘要
目的了解山东典型城市居民对改善空气质量以提高健康水平的支付意愿。方法采用意愿调查价值评估法,通过发放开放式问卷,于2007年1月21日—2月22日在青岛、烟台、临沂、枣庄4座城市随机访问了1950位居民。分别采用Probit模型和逐步回归模型分析居民是否愿意支付及其意愿支付值大小的影响因素。结果调查共获得有效问卷1845份,青岛、烟台、临沂、枣庄城区居民每户每月愿意为改善空气质量支付的费用分别为93、69、81、58元。Probit模型分析结果表明,青岛市和枣庄市居民工作状况与支付意愿呈正相关,而烟台市居民工作状况与支付意愿呈负相关。青岛市、烟台市和临沂市居民月收入与居民支付意愿呈正相关。逐步回归模型分析结果表明,4城市居民月收入与支付意愿呈正相关。结论山东省4城市居民每户每月愿意为改善空气质量支付的费用由多至少依次为青岛、临沂、烟台、枣庄。月收入是影响4城市居民支付愿意的重要因素。
Objective To quantify urban residents＇ willingness-to-pay （WTP） to improve their health status in typical cities of Shandong, China. Methods A contingent valuation method （CVM） was employed to investigate 1 950 urban residents randomly. The field survey using open-ended format questionnaire was carried out in Qingdao, Yantai, Linyi and Zaozhuang. A Probit model and a stepwise regression model were established to find the influencing factors of WTP and payment amount. Results A total of 1 845 valid questionnaires were obtained. The average WTP was 93, 69, 81, 58 CNY per household per month for residents in Qingdao, Yantai, Linyi, and Zaozhuang. A probit model indicated that working condition had active influence on WTP in Qingdao and Zaozhuang and negative influence on WTP in Yantai. A stepwise regression model indicated that income per month had active influence on residents＇ payment amount. Conclusion The average WTP of Qingdao is the highest, and that of Zaozhuang is the lowest. The average WTP of Linyi is more than that of Yantai. Income per month is an important factor which influences residents＇ WTP.
出处
《环境与健康杂志》
CAS
CSCD
北大核心
2010年第6期507-510,共4页
Journal of Environment and Health
基金
山东省优秀中青年科学家科研奖励基金资助项目(BS2009HZ011)
关键词
空气污染
人体健康
城市居民
支付意愿
Air pollution
Human health
Urban residents Willingness to pay
