摘要
大伙房饮用水水源是目前全国最大的湖库型饮用水水源地,供水范围涉及7座城市、2 400多万人。因此,评估其水源地生态系统服务价值及确立生态补偿标准,具有典型性和较高的借鉴价值。在条件价值评估法(contingent valuation method,CVM)(也称意愿调查评估法)问卷调查基础上,应用SPSS16.0软件,对大伙房水源受水城市居民生态补偿支付意愿及其影响因素进行实证研究。633份有效开放式问卷的调查分析结果表明,有68.2%的居民个人对大伙房水源保护区生态补偿存在正支付意愿,平均支付意愿为每人每年93.81~137.55元;运用皮尔逊相关系数和多元线性回归方法,分析支付意愿与社会经济变量之间的关系发现,性别、年龄、学历、生态重要性认知对支付意愿的影响不显著,生态补偿认可度、收入、职业与支付意愿显著相关,其中,生态补偿认可度对支付意愿影响最大,其次是收入水平,职业对支付意愿的影响相对较小。
Dahuofang Reservoir, which supplies drinkable water for 24 million residents in 7 cities, is the largest lake-reservoir headwater area of drinkable water in China. Based on questionnaire data, the empirical research was conducted on the willingness to pay(WTP) and its influencing factors of the residents in the cities getting drinkable water from Dahuofang Reservoir with contingent valuation method(CVM) in this paper. The Pearson correlation coefficients and multiple linear regressions methods were used to analyze relationships between socio-economics variables and willingness to pay. The results showed that 68.2% respondents out of 633 valid questionnaires hold positive intensions in willingness to pay; the average willingness to pay reached 93.81-137.55 RMB Yuan per person per year; the gender, age, education level and cognition of ecological environment had no significant influence on willingness to pay; willingness to pay chosen by respondents were positively correlated with their consentient level of eco-compensation, income level and occupation. Consentient level of eco-compensation was the key factor to influence willingness to pay, followed by income level and occupation.
出处
《湿地科学》
CSCD
北大核心
2016年第1期65-71,共7页
Wetland Science
基金
2013年度辽宁省社会科学规划基金重点项目(L13AJY009)资助
关键词
生态补偿
支付意愿
CVM方法
影响因素
大伙房水源地
eco-compensation
willingness to pay(WTP)
contingent valuation method
influencing factors
Dahuofang headwater area