The semi-parametric model and empirical research in CVM

被引：0

作者：

Ao, Chang-Lin ^{[1
]}

Wang, Jing ^{[1
]}

Gao, Qin ^{[1
]}

Chen, Hong-Guang ^{[1
]}

机构：

[1] Department of Management Science and Engineering, Northeast Agricultural University, Harbin,150030, China

来源：

Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2014年 / 34卷 / 09期

关键词：

Economic analysis - Bioinformatics - Resource valuation - Hazards;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The contingent valuation method (CVM) is a availably, flexible non-market valuation method which is widely used to evaluate the environmental goods, especially the landscape evaluation. The double bounded dichotomous choice is the most effective format of contingent valuation models except that it can not provide a direct estimate of the willingness to pay (WTP) and its parameter model can not fully fit the WTP as well as exploit the sample data information. This research provides a new path by addressing an analysis method of the CVM based on survival analysis and builds a semi-parametric proportional hazards model to analyse the impact factors of willingness to pay. Taking Sanjiang plain wetland landscape evaluation as an example, the willingness to pay of Sanjiang wetland landscape is RMB 90.53 per year. Individual average annual income, educational background, respondents' location and the attitudes to environment protect are the main risk factors which affect the willingness to pay. This research shows the feasibility and effectiveness of the semi-parametric analysis methods to deal with the data of dichotomous choice CVM.

引用

页码：2332 / 2338