Willingness to pay for clean air in China
Willingness to pay for clean air in China
复制标题
中国为清洁空气付费的意愿
DOI：
10.1016/j.jeem.2019.01.005
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发表时间：
2019-03-01
影响因子：
4.6
通讯作者：
Timmins, Christopher
中科院分区：
文献类型：
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作者：
Freeman, Richard;Liang, Wenquan;Timmins, Christopher
我们使用一个包含人口迁移负效用的居住区分类模型来恢复中国清洁空气的隐含价值。该模型使用中国人口普查数据沿着PM2.5卫星数据进行估计。我们的研究为发展中国家为改善空气质量付费的意愿提供了新的证据，也是均衡排序模型在中国非市场设施估值中的首次应用。我们采用了两个工具变量的基础上燃煤发电和风向，以解决本地空气污染的endoeconomy。结果表明，重要的住宅分类模型和传统的享乐模型之间的差异，突出移动成本和离散的选择集的作用。我们的分类结果表明，2005年，对于所有中国家庭来说，PM2.5浓度每下降一个单位，空气质量改善的经济价值高达88.3亿美元。(C)2019由Elsevier Inc.出版
We use a residential sorting model incorporating migration disutility to recover the implicit value of clean air in China. The model is estimated using China Population Census Data along with PM2.5 satellite data. Our study provides new evidence on the willingness to pay for air quality improvements in developing countries and is the first application of an equilibrium sorting model to the valuation of non-market amenities in China. We employ two instrumental variables based on coal-fired electricity generation and wind direction to address the endogeneity of local air pollution. Results suggest important differences between the residential sorting model and a conventional hedonic model, highlighting the role of moving costs and the discreteness of the choice set. Our sorting results indicate that the economic value of air quality improvement associated with a one-unit decline in PM2.5 concentration is up to $8.83 billion for all Chinese households in 2005. (C) 2019 Published by Elsevier Inc.