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Optimal emission-extraction policy in a world of scarcity and irreversibility
[Politique optimale d'émission/extraction dans dans un monde de rareté et d’irréversibilité]

Author

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  • Mabel Tidball

    (LAMETA - Laboratoire Montpelliérain d'Économie Théorique et Appliquée - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

Abstract

This paper extends the classical exhaustible-resource/stock-pollution model with the irreversibility of pollution decay. Within this framework, we are wondering first how the potential irreversibility of pollution affects the extraction path. Our aim is also to emphasize the conditions under which the economy will optimally adopt a reversible policy. Once the situation has turned irreversible, we show that the pollution problem does affect the total amount of resource extracted. In particular, it may be optimal to leave a positive amount of resource in the ground forever. As far the optimal extraction/emission policy is concerned, three types of solutions may arise. We derive a simple condition that guarantees that it is optimal to stay in what is called the reversible region. When this condition does not hold, it is difficult to conclude whether the optimal policy is reversible or irreversible. Using a numerical example, one can find a situation where the optimal path is unique and identify the set of initial conditions associated with each possible policy. Due to the non-convexity introduced by the decay function, the occurrence of multiple optimal solutions cannot be ruled out. Indeed, we present another numerical example in which two optimality candidates – one being reversible, the other irreversible – simultaneously exist. The computation of the present values of both paths reveals that the reversible policy yields the highest value.

Suggested Citation

  • Mabel Tidball, 2011. "Optimal emission-extraction policy in a world of scarcity and irreversibility [Politique optimale d'émission/extraction dans dans un monde de rareté et d’irréversibilité]," Post-Print hal-02807037, HAL.
  • Handle: RePEc:hal:journl:hal-02807037
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-02807037
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    Cited by:

    1. Bonneuil, N. & Boucekkine, R., 2016. "Optimal transition to renewable energy with threshold of irreversible pollution," European Journal of Operational Research, Elsevier, vol. 248(1), pages 257-262.
    2. Raouf Boucekkine & Aude Pommeret & Fabien Prieur, 2012. "Optimal Regime Switching and Threshold Effects: Theory and Application to a Resource Extraction Problem under Irreversibility," Working Papers 12-14, LAMETA, Universtiy of Montpellier, revised May 2012.
    3. Alain Ayong Le Kama & Aude Pommeret & Fabien Prieur, 2014. "Optimal Emission Policy under the Risk of Irreversible Pollution," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 16(6), pages 959-980, December.
    4. Prudence Dato, 2017. "Energy Transition Under Irreversibility: A Two-Sector Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 797-820, November.
    5. Amigues, Jean-Pierre & Moreaux, Michel, 2013. "The atmospheric carbon resilience problem: A theoretical analysis," Resource and Energy Economics, Elsevier, vol. 35(4), pages 618-636.
    6. Ngo Van Long & Fabien Prieur & Klarizze Puzon & Mabel Tidball, 2013. "Markov Perfect Equilibria in Differential Games with Regime Switching Strategies," Working Papers 13-06, LAMETA, Universtiy of Montpellier, revised Jan 2014.
    7. Cassin, Lesly & Melindi-Ghidi, Paolo & Prieur, Fabien, 2022. "Confronting climate change: Adaptation vs. migration in Small Island Developing States," Resource and Energy Economics, Elsevier, vol. 69(C).
    8. Fouad El Ouardighi & Hassan Benchekroun & Dieter Grass, 2016. "Self-regenerating environmental absorption efficiency and the $$\varvec{ soylent~green~scenario}$$ s o y l e n t g r e e n s c e n a r i o," Annals of Operations Research, Springer, vol. 238(1), pages 179-198, March.
    9. Amigues, Jean-Pierre & Moreaux, Michel, 2012. "Potential Irreversible Catastrophic Shifts of the Assimilative Capacity of the Environment," IDEI Working Papers 697, Institut d'Économie Industrielle (IDEI), Toulouse.
    10. van der Ploeg, Frederick, 2014. "Abrupt positive feedback and the social cost of carbon," European Economic Review, Elsevier, vol. 67(C), pages 28-41.
    11. Daria Onori, 2015. "Optimal Growth and Debt Dynamics under GDP-Based Collaterals," Working Papers halshs-01251352, HAL.
    12. Stahn, Hubert & Tomini, Agnes, 2021. "Externality and common-pool resources: The case of artesian aquifers," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    13. Marc Chesney & Pierre Lasserre & Bruno Troja, 2017. "Mitigating global warming: a real options approach," Annals of Operations Research, Springer, vol. 255(1), pages 465-506, August.
    14. van der Ploeg, Frederick, 2014. "Abrupt positive feedback and the social cost of carbon," European Economic Review, Elsevier, vol. 67(C), pages 28-41.

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    More about this item

    Keywords

    non-renewable resource; optimal policy; irreversible pollution; emission polluante;
    All these keywords.

    JEL classification:

    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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