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Oligopolies in pollution permit markets: A dynamic game approach

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  • Chung, Sung H.
  • Weaver, Robert D.
  • Friesz, Terry L.

Abstract

We reconsider the pollution permit concept in a setting extended to include dynamics, spatially diversified firms, and an oligopoly in product markets. The firms can manage their pollution emissions or stocks by (1) buying pollution permits and emitting pollution, (2) shipping pollutants to other nodes and paying such shipping costs, or (3) paying environmental costs to mitigate or recycle pollution. Firms manage these controls strategically to maximize net profits while facing non-cooperative rivals. Within this setting, we show that the non-cooperative competition among firms may be represented as a differential variational inequality (DVI) framework. Furthermore, we propose decision rules on permit purchase, establish necessary conditions, and prove the existence of solution in the formalism of the DVI. We also show that the DVI can be equivalently converted to a nonlinear complementarity problem (NCP), and show this problem, despite high dimensions, is efficiently solvable using off-the-shelf software (GAMS with the PATH solver). We illustrate this method's feasibility with a computationally intensive numerical example.

Suggested Citation

  • Chung, Sung H. & Weaver, Robert D. & Friesz, Terry L., 2012. "Oligopolies in pollution permit markets: A dynamic game approach," International Journal of Production Economics, Elsevier, vol. 140(1), pages 48-56.
  • Handle: RePEc:eee:proeco:v:140:y:2012:i:1:p:48-56
    DOI: 10.1016/j.ijpe.2012.01.017
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    Cited by:

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    2. Hu, Ming-Che & Lu, Su-Ying & Chen, Yen-Haw, 2016. "Stochastic–multiobjective market equilibrium analysis of a demand response program in energy market under uncertainty," Applied Energy, Elsevier, vol. 182(C), pages 500-506.
    3. Chung, Sung H. & Weaver, Robert D. & Friesz, Terry L., 2013. "Strategic response to pollution taxes in supply chain networks: Dynamic, spatial, and organizational dimensions," European Journal of Operational Research, Elsevier, vol. 231(2), pages 314-327.
    4. Hu, Ming-Che & Chen, Yu-Hui & Huang, Li-Chun, 2014. "A sustainable vegetable supply chain using plant factories in Taiwanese markets: A Nash–Cournot model," International Journal of Production Economics, Elsevier, vol. 152(C), pages 49-56.
    5. Chung, Sung Hoon & Kwon, Changhyun, 2016. "Integrated supply chain management for perishable products: Dynamics and oligopolistic competition perspectives with application to pharmaceuticals," International Journal of Production Economics, Elsevier, vol. 179(C), pages 117-129.
    6. Saberi, Sara, 2018. "Sustainable, multiperiod supply chain network model with freight carrier through reduction in pollution stock," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 421-444.
    7. Tajbakhsh, Alireza & Hassini, Elkafi, 2022. "A game-theoretic approach for pollution control initiatives," International Journal of Production Economics, Elsevier, vol. 254(C).
    8. Kogan, Konstantin & El Ouardighi, Fouad & Herbon, Avi, 2017. "Production with learning and forgetting in a competitive environment," International Journal of Production Economics, Elsevier, vol. 189(C), pages 52-62.

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