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Was it better or worse? Simulating the environmental and health impacts of emissions trading scheme in Hubei province, China

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  • Cao, Libin
  • Tang, Yiqi
  • Cai, Bofeng
  • Wu, Pengcheng
  • Zhang, Yansen
  • Zhang, Fengxue
  • Xin, Bo
  • Lv, Chen
  • Chen, Kai
  • Fang, Kai

Abstract

Given the environmental impacts of co-pollutant emissions such as PM2.5, SO2, and NOx, carbon emissions trading between corporations implemented to fulfill the global goal of mitigating climate change may improve or worsen local air quality and public health. It is therefore necessary to measure the environmental and health impacts between different regions involved in emissions trading scheme (ETS). This study proposed a unifying framework that incorporated a number of models and databases to explore the spatial changes in CO2 emissions due to ETS in Hubei, one of China’s ETS pilots, simulate the distribution of atmospheric co-pollutants on a 3 km × 3 km resolution, and compare the cause-specific mortality attributable to co-pollutants varying in time and cross regions between with and without the ETS. The simulation shows that in general the ETS improved air quality in large parts of Hubei, as indicated by the notable decline in both PM2.5 concentrations and the proportion of heavily polluted areas throughout Hubei. However, an increase in PM2.5 concentrations after the implementation of ETS was observed in some areas of major cities, such as Wuhan, Xiaogan, Ezhou, Huangshi and Yichang, resulting in negative impacts on human health locally. The findings could assist policymakers in better understanding the complex impacts of ETS on environmental and human health, therefore serving as a useful reference for interregional efforts to speed up the development of China’s ETS.

Suggested Citation

  • Cao, Libin & Tang, Yiqi & Cai, Bofeng & Wu, Pengcheng & Zhang, Yansen & Zhang, Fengxue & Xin, Bo & Lv, Chen & Chen, Kai & Fang, Kai, 2021. "Was it better or worse? Simulating the environmental and health impacts of emissions trading scheme in Hubei province, China," Energy, Elsevier, vol. 217(C).
    • Handle: RePEc:eee:energy:v:217:y:2021:i:c:s0360544220325342
    DOI: 10.1016/j.energy.2020.119427
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    Cited by:

    1. Ying Zhang & Yingli Huang, 2023. "Killing Two Birds with One Stone or Missing One of Them? The Synergistic Governance Effect of China’s Carbon Emissions Trading Scheme on Pollution Control and Carbon Emission Reduction," Sustainability, MDPI, vol. 15(13), pages 1-25, June.
    2. Hu, Yucai & Li, Ranran & Du, Lei & Ren, Shenggang & Chevallier, Julien, 2022. "Could SO2 and CO2 emissions trading schemes achieve co-benefits of emissions reduction?," Energy Policy, Elsevier, vol. 170(C).
    3. Zijian Liu & Lian Cai & Yabin Zhang, 2023. "Co-Benefits of China’s Carbon Emissions Trading Scheme: Impact Mechanism and Spillover Effect," IJERPH, MDPI, vol. 20(5), pages 1-13, February.
    4. Siying Yang & Wenxuan Sun & Zhouyi Wu & Yang He, 2022. "Can the SO2 emission trading system promote urban emission reduction?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 963-974, June.
    5. Jiang, Hong-Dian & Purohit, Pallav & Liang, Qiao-Mei & Liu, Li-Jing & Zhang, Yu-Fei, 2023. "Improving the regional deployment of carbon mitigation efforts by incorporating air-quality co-benefits: A multi-provincial analysis of China," Ecological Economics, Elsevier, vol. 204(PA).
    6. Zhiguo Li & Jie Wang & Shuai Che, 2021. "Synergistic Effect of Carbon Trading Scheme on Carbon Dioxide and Atmospheric Pollutants," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    7. Wu, Qunli & Ma, Zhe & Meng, Fanxing, 2022. "Long-term impacts of carbon allowance allocation in China: An IC-DCGE model optimized by the hypothesis of imperfectly competitive market," Energy, Elsevier, vol. 241(C).

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