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A Joint Control Model Based on Emission Rights Futures Trading for Regional Air Pollution That Accounts for the Impacts on Employment

Author

Listed:
  • Shijie Wang

    (School of Economics and Management, Shaanxi University of Science and Technology, Xi’an 710021, China)

  • Laijun Zhao

    (Sino-US Global Logistics Institute, Shanghai Jiao Tong University,1954 Huashan Rd., Shanghai 200030, China
    Antai College of Economics and Management, Shanghai Jiao Tong University, 1954 Huashan Rd., Shanghai 200030, China)

  • Yong Yang

    (School of Arts and Sciences, Shaanxi University of Science & Technology, University Park of Weiyang District, Xi’an 710021, China)

  • Chenchen Wang

    (School of Economics and Management, Shaanxi University of Science and Technology, Xi’an 710021, China)

  • Jian Xue

    (School of Economics and Management, Shaanxi University of Science and Technology, Xi’an 710021, China)

  • Xin Bo

    (Appraisal Center for Environment and Engineering, Ministry of Environmental Protection, Beijing 100012, China)

  • Deqiang Li

    (School of Economics and Management, Shaanxi University of Science and Technology, Xi’an 710021, China)

  • Dengguo Liu

    (School of Automotive Studies, Tongji University, Shanghai 201804, China
    Shanghai Environment Monitoring Center, Shanghai 200235, China)

Abstract

To reduce air pollutant control costs and solve the problem of decreased employment caused by air pollution control, we established a double-objective optimization Joint Control Model (JCM) based on emission rights futures trading. The JCM calculates the spot price of emission rights, classifies regions in the trading market for emission rights into buyers and sellers, and calculates the optimal cooperative pollution abatement quantity. Compared with a non-cooperative control mode, the JCM generated benefits of US$2485.19 × 10 6 . We then used a Game Quadratic Programming (GQP) method to distribute the benefits, and applied the JCM to a case study of the abatement of sulfur dioxide in China’s Shanxi, Henan, and Shaanxi provinces. We found that: (i) Compared with a JCM that does not account for employment, employment under the JCM increased by 3.20 × 10 3 people, and the pollution control cost decreased by US$11.20 × 10 6 under the JCM that considered employment. The effect of the latter model is better than that of the former. (ii) Employment under the JCM increased by 18.80 × 10 4 people compared with that under a territorial control mode, reducing the cost by US$99.73 × 10 6 . The JCM is helpful for all participating regions to balance environmental and livelihood issues in the process of air pollution control to achieve sustainable development.

Suggested Citation

  • Shijie Wang & Laijun Zhao & Yong Yang & Chenchen Wang & Jian Xue & Xin Bo & Deqiang Li & Dengguo Liu, 2019. "A Joint Control Model Based on Emission Rights Futures Trading for Regional Air Pollution That Accounts for the Impacts on Employment," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:5894-:d:279592
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    References listed on IDEAS

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    1. Gray, Wayne B. & Shadbegian, Ronald J. & Wang, Chunbei & Meral, Merve, 2014. "Do EPA regulations affect labor demand? Evidence from the pulp and paper industry," Journal of Environmental Economics and Management, Elsevier, vol. 68(1), pages 188-202.
    2. Qian Wang & Cuiyun Gao & Shuanping Dai, 2019. "Effect of the Emissions Trading Scheme on CO 2 Abatement in China," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    3. repec:nas:journl:v:115:y:2018:p:10636-10641 is not listed on IDEAS
    4. Thomas Stoerk & Daniel J. Dudek & Jia Yang, 2019. "China’s national carbon emissions trading scheme: lessons from the pilot emission trading schemes, academic literature, and known policy details," Climate Policy, Taylor & Francis Journals, vol. 19(4), pages 472-486, April.
    5. Cornell, Bradford & French, Kenneth R, 1983. "Taxes and the Pricing of Stock Index Futures," Journal of Finance, American Finance Association, vol. 38(3), pages 675-694, June.
    6. Glenn Sheriff & Ann E. Ferris & Ronald J. Shadbegian, 2019. "How Did Air Quality Standards Affect Employment at US Power Plants? The Importance of Timing, Geography, and Stringency," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 6(1), pages 111-149.
    7. Yue Dai & Nan Li & Rongrong Gu & Xiaodong Zhu, 2018. "Can China’s Carbon Emissions Trading Rights Mechanism Transform its Manufacturing Industry? Based on the Perspective of Enterprise Behavior," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    8. Golub, Alexander & Lubowski, Ruben & Piris-Cabezas, Pedro, 2017. "Balancing Risks from Climate Policy Uncertainties: The Role of Options and Reduced Emissions from Deforestation and Forest Degradation," Ecological Economics, Elsevier, vol. 138(C), pages 90-98.
    9. Shengxian Ge & Xianyu Yu & Dequn Zhou & Xiuzhi Sang, 2019. "The Integrated Effect of Carbon Emissions Trading and Pollution Rights Trading for Power Enterprises—A Case Study of Chongqing," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
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