Recency and projection biases in air quality valuation by Chinese residents
文献类型：期刊
作者：Chen, Shuai[1]
机构：[1]Zhejiang Univ, China Acad Rural Dev, Sch Publ Affairs, Hangzhou, Zhejiang, Peoples R China.;
[2]Renmin Univ, Sch Econ, Beijing, Peoples R China.;
[3]Natl Univ Singapore, Lee Kuan Yew Sch Publ Policy, Singapore, Singapore.;
[4]Renmin Univ, Sch Econ, Beijing, Peoples R China.;
通讯作者：Qin, P (reprint author), Renmin Univ, Sch Econ, Beijing, Peoples R China.
期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT影响因子和分区
年：2019
卷：648
页码：618-630
收录情况：SCI(E)(WOS:000447805500058)
ISSN：0048-9697
关键词：Marginal willingness-to-pay; China; Air pollution; Subjective well-being; Recency and projection biases
所属部门：经济学院
摘要：We combine survey responses to subjective well-being (SWB) questions with air pollution data to recover Chinese residents' valuation of air quality improvements. Motivated by theoretical models of 'projection bias' and 'recency bias, we posit that one's SWB (and valuation) is affected disproportionately by more recent experiences with air pollution, even though long-term air pollution is more detrimental to one's actual well-being. Towards this end, we find that valuation for a unit improvement ...More
We combine survey responses to subjective well-being (SWB) questions with air pollution data to recover Chinese residents' valuation of air quality improvements. Motivated by theoretical models of 'projection bias' and 'recency bias, we posit that one's SWB (and valuation) is affected disproportionately by more recent experiences with air pollution, even though long-term air pollution is more detrimental to one's actual well-being. Towards this end, we find that valuation for a unit improvement in PM2.5 is twice as large when air quality on the day of survey is used as the explanatory variable compared to air quality averaged over a year. Our findings have far-reaching research and policy implications as they call into question the appropriate temporal scale of air quality conditions when conducting valuation studies or policy evaluations. Furthermore, our results imply that policymakers could conceivably exploit this behavioral bias to introduce more stringent air quality management policies when air quality is extremely poor. (C) 2018 Elsevier B.V. All rights reserved. ...Hide
DOI：10.1016/j.scitotenv.2018.08.153
百度学术：Recency and projection biases in air quality valuation by Chinese residents
语言：外文
被引频次：1
人气指数：4
浏览次数：4
基金：Singapore Ministry of EducationMinistry of Education, Singapore [R603000237133]; National Science Foundation of ChinaNational Natural Science Foundation of China [71703149, 71622014, 41771564]
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