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Dynamically consistent collaborative environmental management with production technique choices

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  • David Yeung

Abstract

Adoption of environment-preserving production technique plays a key role to effectively solving the continual worsening global industrial pollution problem. Due to the global nature of environmental effects and trade, unilateral response on the part of one nation is often ineffective. Cooperation in environmental management holds out the best promise of effective action. For cooperation over time to be credible, a dynamic consistency condition which requires the agreed-upon optimality principle to remain in effect throughout the collaboration duration has to hold. In this paper, we present a cooperative dynamic game of collaborative environmental management with production technique choices. A dynamically consistent cooperative scheme is derived. It is the first time that dynamically consistent solution is obtained for dynamic games in collaborative environmental management with production technique choices. The analysis widens the scope of study in global environmental management. Copyright Springer Science+Business Media, LLC 2014

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  • David Yeung, 2014. "Dynamically consistent collaborative environmental management with production technique choices," Annals of Operations Research, Springer, vol. 220(1), pages 181-204, September.
    • Handle: RePEc:spr:annopr:v:220:y:2014:i:1:p:181-204:10.1007/s10479-011-0844-0
    DOI: 10.1007/s10479-011-0844-0
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    1. David W. K. Yeung & Leon A. Petrosyan, 2016. "A Cooperative Dynamic Environmental Game of Subgame Consistent Clean Technology Development," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 1-23, June.
    2. Sedakov, Artem & Qiao, Han & Wang, Shouyang, 2021. "A model of river pollution as a dynamic game with network externalities," European Journal of Operational Research, Elsevier, vol. 290(3), pages 1136-1153.
    3. Petrosyan, Leon & Sedakov, Artem & Sun, Hao & Xu, Genjiu, 2017. "Convergence of strong time-consistent payment schemes in dynamic games," Applied Mathematics and Computation, Elsevier, vol. 315(C), pages 96-112.
    4. 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.
    5. Li, Shoude & Zhang, Yingxuan, 2023. "Abatement technology innovation and pollution tax design: A dynamic analysis in monopoly," Energy Economics, Elsevier, vol. 119(C).
    6. Fabio Zagonari, 2016. "Four Sustainability Paradigms for Environmental Management: A Methodological Analysis and an Empirical Study Based on 30 Italian Industries," Sustainability, MDPI, vol. 8(6), pages 1-34, May.
    7. Yingxuan Zhang, 2020. "Regional Collaborative Electricity Consumption Management: an Urban Operations Research Model," SN Operations Research Forum, Springer, vol. 1(4), pages 1-28, December.
    8. David W. K. Yeung & Leon A. Petrosyan, 2019. "Cooperative Dynamic Games with Control Lags," Dynamic Games and Applications, Springer, vol. 9(2), pages 550-567, June.

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