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中国城市PM2.5污染对居民主观幸福感的影响及支付意愿研究
引用本文:刘倩倩,党云晓,张文忠,魏璐瑶.中国城市PM2.5污染对居民主观幸福感的影响及支付意愿研究[J].地理科学,2021,41(12):2096-2106.
作者姓名:刘倩倩  党云晓  张文忠  魏璐瑶
作者单位:南京师范大学地理科学学院,江苏南京210023;江苏省地理信息资源开发与利用协同创新中心,江苏南京210023;南京师范大学虚拟地理环境教育部重点实验室,江苏南京210023;浙江财经大学土地与城乡发展研究院,浙江杭州310018;中国科学院地理科学与资源研究所中国科学院区域可持续发展分析与模拟重点实验室,北京100010
基金项目:国家自然科学基金项目(42101194);国家自然科学基金项目(41871170);江苏省高等学校基础科学(自然科学)研究项目资助(21KJB170011);江苏省双创博士基金项目(2020-30497);中国科学院区域可持续发展分析与模拟重点实验室开放基金
摘    要:利用2015年中国40个城市大规模问卷调查数据,采用贝叶斯多层级有序分类响应模型探讨了PM2.5污染对居民主观幸福感的影响,进而核算居民为减轻PM2.5污染的支付意愿。研究发现:PM2.5污染对主观幸福感具有显著的负向影响,PM2.5污染每增加1个单位,主观幸福感将下降0.040个百分点;家庭月收入对主观幸福感具有显著的正向影响,家庭月收入每增加1个单位,主观幸福感将提升0.026个百分点。支付意愿不仅受到家庭收入水平的影响,还受到居民所处城市空气质量的影响;在承受PM2.5污染的最初阶段,居民为改善空气质量的支付意愿最高。居民为改善空气质量愿意支付的金额平均为226元,占家庭月总收入的2.274%。

关 键 词:PM2.5污染  幸福感  支付意愿  多层级有序分类响应模型
收稿时间:2020-11-12
修稿时间:2021-03-14

Impact of PM2.5 Pollution on Urban Residents’ Happiness and Willingness-to-pay: A Case Study of Urban China
Liu Qianqian,Dang Yunxiao,Zhang Wenzhong,Wei Luyao.Impact of PM2.5 Pollution on Urban Residents’ Happiness and Willingness-to-pay: A Case Study of Urban China[J].Scientia Geographica Sinica,2021,41(12):2096-2106.
Authors:Liu Qianqian  Dang Yunxiao  Zhang Wenzhong  Wei Luyao
Abstract:China’s rapid industrialization and urbanization are not necessarily accompanied by the corresponding improvement of living standards. As the largest developing country in the world, the rapid economic growth has been confronted with problems such as inadequate public services, soaring housing prices, environmental degradation and food safety, which have seriously restricted the happiness of Chinese urban residents. In recent years, PM2.5 pollution imposes serious impacts on the health and life quality of residents and restricts the improvement of urban residents’ happiness. Exploring the influential mechanism of air pollution on residents’ happiness and the economic value brought by the improvement environmental quality provide a scientific basis for the construction of livable cities in the new era. Based on the theoretical analysis framework of the impact of meso-and micro-scale air pollution on residents’ happiness and willingness to pay, we select 40 cities in China as the cases for empirical analysis. By employing the large-scale questionnaire survey data of 40 cities in 2015, this article adopts a Bayesian multi-level ordinal categorical response model to empirically explore the impact of PM2.5 pollution on residents’ subjective well-being, and evaluates residents’ willingness to pay to alleviate PM2.5 pollution by using happiness evaluation model. The empirical results are presented in the following aspects. First, PM2.5 pollution exerts a significant negative influence on residents’ subjective well-being, that is, the more serious the PM2.5 pollution is, the lower the residents’ subjective well-being. Specially, for every unit increase in the number of days of haze pollution, the subjective well-being of residents will significantly decrease by 0.040. Household monthly income has a significant positive impact on residents’ subjective well-being, meaning that the increase of household income is accompanied by the increase of residents’ happiness. For every unit increase in monthly household income, residents’ happiness will significantly increase by 0.026 percentage points. Second, willingness to pay is affected not only by household income level, but also by the air quality of the city where residents live. Third, residents in 40 cities were willing to pay 226 yuan, or 2.274 percent of their monthly income in order to improve air quality. Residents in Beijing were the most willing to pay 582 yuan to reduce PM2.5 pollution, accounting for 3.535 percent of their average monthly income. In addition, residents have the highest willingness to pay at the initial stage of reducing PM2.5 pollution and improving air quality. The conclusions of this article not only enriches the relevant research results of environmental pollution and residents’ happiness, but also provides an empirical basis for the policy making of environmental pollution improvement in Chinese cities.
Keywords:PM2  5 pollution  happiness  willingness to pay  multi-level ordinal categorical response model  
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