• 论文 •

### 两种统计分析模型在CVM应用中的比较研究

1. 1. 南京大学城市与资源学系, 江苏, 南京, 210093;
2. 河海大学水资源环境学院, 江苏, 南京, 210098
• 收稿日期:2005-08-12 修回日期:2005-12-23 出版日期:2007-01-20 发布日期:2007-01-20
• 基金资助:
国家计委“大别山水源涵养林区生态承载力与区域经济协调发展研究”;国家自然科学基金重点项目(49831070)资助

### Comparison of Two Statistical Models in Contingent Valuation Method

LI Hua-Sheng1, XU Hui2, PENG Bu-Zhuo1

1. 1. Urban and Resaurces Sciences, Nanjing University, Nanjing, Jiangsu 210093;
2. College of Water Resources and Enviroment, Hohai University, Nanjing, Jiangsu 210098
• Received:2005-08-12 Revised:2005-12-23 Online:2007-01-20 Published:2007-01-20

Abstract: Although the Contingent Valuation Method(CVM) is considered as an only method to evaluate the non-use value of biodiversity and other environmental resources by scholars abroad and at home,there still exist some undefinite factors such as the accuracy and availability of the valuing outcome and various error etc.To improve the accuracy and availability of the outcome of the method,the authors raise another statistical model,i.e.,stratified random sampling model,and compare it with simple random sampling model which is usually used.The case study was chosen in Yaoluoping National Nature Reserve which preserves plants and animals of sub-tropical zone in China.On the basis of the statistic data of questionaire in Jiangsu and Anhui provinces,the two statistical models are applied and compared in this paper.The mean WTP(willingness to pay) of Anhui and Jiangsu procince is 14.2 yuan(RMB) and 42 yuan acoording to the outcome of the questionaire.The mean WTP of the simple random sampling method is 47.8 yuan per person while that of stratified random sampling method is 28.6 yuan per person,so the total WTP of the two methods is 331 335?106 yuan/a and 198 039 million yuan/a respectively.The result indicates that the outcome of the stratified random sampling method is 60% of that of the simple random sampling method,and the former can improve the accuracy and availability of the outcome comparing with that of simple random sampling method to some degree.The authors show that the stratified random sampling method is an alternative approach though it has some deficiencies initiated from CVM method itself.

• F062.2