摘要
运用权变评价法(CVM)调查了我国城镇居民对CO2减排的支付意愿.结果表明,我国城镇居民愿意为到2050年全球CO2减排30%而每年支付132元;减排60%而每年支付216元;减排85%而每年支付264元.一般线性回归模型分析结果显示,城镇居民的受教育程度、家庭年收入、职业类型、所在城市、对气候变化的认知程度和环境意识,都对CO2减排的支付意愿有显著影响;而且不同的CO2减排成本分配方案对人们的支付意愿也有显著影响。
The factors which affect Chinese urban resident's willingness to pay(WTP) for CO2 emission reductions were investigated by using contingent valuation method(CVM).China urban resident's WTP was 132 yuan/year for reducing CO2 emissions by 30% until the year 2050,216 yuan/year for a reduction of 60%,and 264 yuan/year for a reduction of 85%.Through the general regression model analysis,it was found that the urban resident's education level,household's annual per capita income,job type,city location,cognitive level on climate change and environmental awareness were closely correlated with the WTP,and how the costs for reducing CO2 emissions should be shared among countries also had significant impact on the WTP.
出处
《中国环境科学》
EI
CAS
CSCD
北大核心
2011年第2期346-352,共7页
China Environmental Science
基金
国家社会科学基金资助项目(10BJY049)
中国人民大学科学研究基金项目(10XNJ013)
关键词
CO2减排
支付意愿
权变评价法
一般线性回归模型
CO2 emission reductions
willingness to pay
contingent valuation method
general regression model