Clean heating and heating poverty: A perspective based on cost-benefit analysis

被引:68
作者
Feng, Tong [1 ,2 ]
Du, Huibin [1 ]
Coffman, D'Maris [2 ]
Qu, Aiyu [3 ]
Dong, Zhanfeng [3 ]
机构
[1] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
[2] UCL, Bartlett Sch Construct & Project Management, London WC1E 7HB, England
[3] Chinese Acad Environm Planning, State Environm Protect Lab Environm Planning & Po, Beijing 100012, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Clean heating; Cost-benefit analysis; Heating poverty; Air pollution; Health; AIR-POLLUTION; CHINA; CHOICE;
D O I
10.1016/j.enpol.2021.112205
中图分类号
F [经济];
学科分类号
02 ;
摘要
To improve the air quality in winter, clean heating policy was implemented in "2 + 26" cities of China in 2016, which mainly included replacing coal with gas or electricity. Tremendous financial subsidies have been provided by city and central governments. This new heating mode changed the heating fee-cost to residents. This paper estimates the economic costs to both governments and residents, and evaluates the environmental and public health benefits by combining a difference-in-differences model with an exposure-response function. Results show that the total costs of clean heating were up to 43.1 billion yuan. Governments and residents account for 44% and 56% of the total costs, respectively. In terms of benefits, the clean heating project is effective for air pollution control and brings health economic benefits of about 109.85 billion yuan (95% CI: 22.40-159.83). The clean heating policy was identified as a net-positive benefit program with environmental and public health improvements. However, the inequality in subsidies from different cities governments increases the heating burden on low-income households and leads to heating poverty for households in the less developed regions. We provide suggestions for implementation in future clean heating campaigns and in subsidy mechanism design in China and for other developing countries.
引用
收藏
页数:13
相关论文
共 37 条
[31]  
Tianjin Municipal Bureau of Statistics, 2016, TIANJIN STAT YB 2016
[32]   The energy ladder: Theoretical myth or empirical truth? Results from a meta-analysis [J].
van der Kroon, Bianca ;
Brouwer, Roy ;
van Beukering, Pieter J. H. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 20 :504-513
[33]   The effect of Beijing's driving restrictions on pollution and economic activity [J].
Viard, V. Brian ;
Fu, Shihe .
JOURNAL OF PUBLIC ECONOMICS, 2015, 125 :98-115
[34]  
WHO, 2000, COPENHAGEN DENMARK E, V91
[35]   Spatiotemporal Assessment of PM2.5-Related Economic Losses from Health Impacts during 2014-2016 in China [J].
Yang, Yang ;
Luo, Liwen ;
Song, Chao ;
Yin, Hao ;
Yang, Jintao .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 15 (06)
[36]   Drivers of improved PM2.5 air quality in China from 2013 to 2017 [J].
Zhang, Qiang ;
Zheng, Yixuan ;
Tong, Dan ;
Shao, Min ;
Wang, Shuxiao ;
Zhang, Yuanhang ;
Xu, Xiangde ;
Wang, Jinnan ;
He, Hong ;
Liu, Wenqing ;
Ding, Yihui ;
Lei, Yu ;
Li, Junhua ;
Wang, Zifa ;
Zhang, Xiaoye ;
Wang, Yuesi ;
Cheng, Jing ;
Liu, Yang ;
Shi, Qinren ;
Yan, Liu ;
Geng, Guannan ;
Hong, Chaopeng ;
Li, Meng ;
Liu, Fei ;
Zheng, Bo ;
Cao, Junji ;
Ding, Aijun ;
Gao, Jian ;
Fu, Qingyan ;
Huo, Juntao ;
Liu, Baoxian ;
Liu, Zirui ;
Yang, Fumo ;
He, Kebin ;
Hao, Jiming .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2019, 116 (49) :24463-24469
[37]   Does emission trading lead to carbon leakage in China? Direction and channel identifications [J].
Zhou, Bo ;
Zhang, Cheng ;
Wang, Qunwei ;
Zhou, Dequn .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2020, 132