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Emissions trading system and supporting policies under an emissions reduction framework

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  • Ma-Lin Song
  • Wei Zhang
  • Xiao-Ming Qiu

Abstract

Emission trading system plays an increasingly important vole in reducing the pollution for environment. Through mathematical models, an analysis is made on the emissions trading system under an emission reduction framework. Four conclusions are drawn: (1) The impact by environmental taxes on the existing firm’s choices of optimal discharging amounts is uncertain, the existing firm’s discharging amounts will decrease with the increased prices of emissions permits, and paid initial emissions allowances will reduce the existing firm’s profits; (2) Under an intertemporal trading system, the existing firm’s holding permits conforms to the principle of profit maximization; (3) Under the intertemporal trading system, the prices for emissions permits for the entrant firms are always on the rise and so are their access costs into the industries, thus frustrating local governments’ efforts in attracting investments; and (4) Emissions reduction policy is a good regulatory measure for promoting local economic welfare and realizing sustainable development. Some suggestions are also given for triggering and activating the emissions trading system and formulating supportive policies, such as local governments are obliged to set prices for initial emissions permits to dampen the purchasing impulse of the existing firm and to avoid a thin market of emissions permits. Copyright Springer Science+Business Media, LLC 2015

Suggested Citation

  • Ma-Lin Song & Wei Zhang & Xiao-Ming Qiu, 2015. "Emissions trading system and supporting policies under an emissions reduction framework," Annals of Operations Research, Springer, vol. 228(1), pages 125-134, May.
  • Handle: RePEc:spr:annopr:v:228:y:2015:i:1:p:125-134:10.1007/s10479-012-1152-z
    DOI: 10.1007/s10479-012-1152-z
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    1. Liu, Hongwei & Wu, Jie & Chu, Junfei, 2019. "Environmental efficiency and technological progress of transportation industry-based on large scale data," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 475-482.
    2. Yongjian Li & Qianzhou Deng & Chi Zhou & Lipan Feng, 2020. "Environmental governance strategies in a two-echelon supply chain with tax and subsidy interactions," Annals of Operations Research, Springer, vol. 290(1), pages 439-462, July.
    3. Tajbakhsh, Alireza & Hassini, Elkafi, 2022. "A game-theoretic approach for pollution control initiatives," International Journal of Production Economics, Elsevier, vol. 254(C).
    4. Boxiao Chen & Erica Klampfl & Margaret Strumolo & Yan Fu & Xiuli Chao & Michael A. Tamor, 2017. "Optimal investment strategies for light duty vehicle and electricity generation sectors in a carbon constrained world," Annals of Operations Research, Springer, vol. 255(1), pages 391-420, August.
    5. Jiang, Lei & He, Shixiong & Zhou, Haifeng & Kong, Hao & Wang, Jionghua & Cui, Yuanzheng & Wang, Lei, 2021. "Coordination between sulfur dioxide pollution control and rapid economic growth in China: Evidence from satellite observations and spatial econometric models," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 279-291.
    6. Tsan-Ming Choi & Ya-Jun Cai, 2020. "Impacts of lead time reduction on fabric sourcing in apparel production with yield and environmental considerations," Annals of Operations Research, Springer, vol. 290(1), pages 521-542, July.
    7. Shaofu Du & Jun Qian & Tianzhuo Liu & Li Hu, 2020. "Emission allowance allocation mechanism design: a low-carbon operations perspective," Annals of Operations Research, Springer, vol. 291(1), pages 247-280, August.
    8. Julien Chevallier & Stéphane Goutte, 2017. "Estimation of Lévy-driven Ornstein–Uhlenbeck processes: application to modeling of $$\hbox {CO}_2$$ CO 2 and fuel-switching," Annals of Operations Research, Springer, vol. 255(1), pages 169-197, August.
    9. Guo Li & Ming K. Lim & Zhaohua Wang, 2020. "Stakeholders, green manufacturing, and practice performance: empirical evidence from Chinese fashion businesses," Annals of Operations Research, Springer, vol. 290(1), pages 961-982, July.
    10. E. Allevi & A. Gnudi & I. V. Konnov & G. Oggioni, 2018. "Decomposition method for oligopolistic competitive models with common environmental regulation," Annals of Operations Research, Springer, vol. 268(1), pages 441-467, September.
    11. Chenhao Fang & Tieju Ma, 2021. "Technology adoption with carbon emission trading mechanism: modeling with heterogeneous agents and uncertain carbon price," Annals of Operations Research, Springer, vol. 300(2), pages 577-600, May.

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