摘要
利用条件价值评估法,对5 436组有效调查问卷数据,建立Logit回归模型,估算上海地区民众对代替煤电进行CO_2减排策略的支付意愿。结果表明,大多数上海民众对CO_2减排策略持支持的态度,对天然气发电代替煤电的支付意愿大约是核电代替煤电的7倍,并发现增加天然气发电更加有利于减排目标的实现。另外模型显示,居民的年龄、收入水平、受教育程度、居住年限等四项社会经济特征显著影响着支付意愿结果。
The article uses CVM contingent valuation method to build up Logit regression model based on 5436 units survey data in order to estimate Shanghai residents＇ willingness to pay for CO_2 emission reduction strategy instead of coal-fired power generation. The result shows that most of Shanghai residents hold supportive attitude to pay for CO_2 emission reduction strategy. Rate of support to use natural gas-fired power generation instead of coal-fired power generation is 7 times as much as to use nuclear power generation instead of coal-fired power generation. It figures out that increased natural gas power generation contributes to realization of emission reduction targets. Otherwise, the model shows that age, income level, education level and residence period of Shanghai residents as four social economic characteristics significantly affect results of their willingness to pay for CO_2 emission reduction strategy.
出处
《上海节能》
2016年第3期126-131,共6页
Shanghai Energy Saving
基金
国家自然科学基金"我国中长期低碳发展战略研究"(2012BAC20B07)~~
关键词
CO2减排
条件价值评估法
支付意愿
LOGIT回归模型
CO_2 emission reduction
CVM contingent valuation method
Willingness to Pay
Logit Regression Model
