中国人口·资源与环境2018，Vol.28Issue(2)：86-93,8.DOI:10.12062/cpre.20171111
上海市居民绿色电力支付意愿研究
Research on household's willingness to pay for green power in Shanghai
摘要
Abstract
Due to higher production cost,the market price for green power is higher than that of thermal power.Thus,competitiveness and development of green power should be achieved through subsidies which are paid by final users.Shanghai is the most developed city in China.The research on green power of Shanghai will supply key experience for other cities.In this paper,we use Double Bounded Contingent Value Method (DB-CVM) to estimate household' s willingness to pay for green power and its influencing factors.It shows that consumer's willingness to pay for green power is affected by factors such as age,education level,income and sensitivity to the environment pollutions.Younger residents with higher income level and education level have higher WTP for green power.Comparing to the household living in their own house,the households who rent an apartment have a lower WTP.What' s more,with a deeper understanding of the electricity price and pollution level,residents will pay more for green power.Based on the total households' electricity consumption and the total green power generation ratio of Shanghai in 2016,our result shows that the subsidy for green power from the household could be 334 million RMB yuan.China has greater potential to promote the development of green power through supporting policies from demand side.关键词
绿色电力/支付意愿/双边界条件价值评估Key words
green power/willingness to pay/double bounded contingent value method分类
管理科学引用本文复制引用
吴力波,周阳,徐呈隽..上海市居民绿色电力支付意愿研究[J].中国人口·资源与环境,2018,28(2):86-93,8.基金项目
国家863高技术基金项目“智能配用电大数据应用关键技术”(批准号:2015AA050203),国网上海市电力公司科技项目“基于电力大数据的需求响应与生产优化研究”. （批准号:2015AA050203）
