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Emissions abatement R&D: Dynamic competition in supply schedules

Author

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  • Flavio M. Menezes
  • Jorge Pereira

Abstract

This paper investigates the optimal environmental policy (the mix of emissions tax and R&D subsidy) when two firms, producing differentiated products, compete in the output market over time. Firms compete over supply schedules, which encompasses a continuum of market structures from Bertrand to Cournot. While production generates environmentally damaging emissions, firms can undertake R&D, which has the sole purpose of reducing emissions. In addition to characterising the optimal policy, we examine how the optimal tax and subsidy and the optimal level of abatement change as competition intensifies, as the dynamic parameters change and as the investment in abatement technology changes. In this setting, increased competition no longer necessarily leads to an increase in welfare. Instead, there are two forces. Competition increases welfare through its impact on the final goods price. However, lower prices result in larger quantities and more pollution. Our contribution is to show that the impact depends on the extent of the market, and the nature of preferences and technology.
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Suggested Citation

  • Flavio M. Menezes & Jorge Pereira, 2017. "Emissions abatement R&D: Dynamic competition in supply schedules," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 19(4), pages 841-859, August.
  • Handle: RePEc:bla:jpbect:v:19:y:2017:i:4:p:841-859
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    File URL: http://hdl.handle.net/10.1111/jpet.2017.19.issue-4
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    Cited by:

    1. Michele Bisceglia & Roberto Cellini & Luca Grilli, 2022. "On the dynamic optimality of yardstick regulation," Annals of Operations Research, Springer, vol. 315(1), pages 73-92, August.
    2. Michele Bisceglia, 2020. "Optimal taxation in a common resource oligopoly game," Journal of Economics, Springer, vol. 129(1), pages 1-31, January.
    3. Yasunori Ouchida & Daisaku Goto, 2022. "Strategic non‐use of the government's precommitment ability for emissions taxation: Environmental R&D formation in a Cournot duopoly," Australian Economic Papers, Wiley Blackwell, vol. 61(1), pages 181-206, March.
    4. Dongdong Li, 2022. "Dynamic optimal control of firms' green innovation investment and pricing strategies with environmental awareness and emission tax," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 920-932, June.
    5. Lidia Vidal-Meliá & Eva Camacho-Cuena & Till Requate & Israel Waichman, 2026. "Timing of Environmental Regulation and the Adoption of Low-Pollution Technologies: An Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 89(4), pages 1-29, April.
    6. Lili Xu & Sang‐Ho Lee, 2022. "Non‐cooperative and cooperative environmental corporate social responsibility with emission taxes," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2849-2862, October.
    7. Escrihuela-Villar, Marc & Gutiérrez-Hita, Carlos & Vicente-Pérez, José, 2024. "May a greener technology mix mitigate market power? Mixed vs private competition in the EU electric power market," Energy, Elsevier, vol. 313(C).
    8. Bisceglia, Michele & Cellini, Roberto & Grilli, Luca, 2019. "On the optimality of the yardstick regulation in the presence of dynamic interaction," MPRA Paper 94946, University Library of Munich, Germany.
    9. Flavio M. Menezes & Jorge Pereira, 2023. "Imperfect competition, emissions tax and the Porter hypothesis," Australian Institute for Business and Economics DP022023, School of Economics, University of Queensland, Australia.
    10. Hao Xu & Ming Luo, 2022. "Optimal Environmental Policy in a Dynamic Transboundary Pollution Game: Emission Standards, Taxes, and Permit Trading," Sustainability, MDPI, vol. 14(15), pages 1-25, July.
    11. Marc Escrihuela‐Villar & Carlos Gutiérrez‐Hita & José Vicente‐Pérez, 2020. "Supply function competition in a mixed electric power market," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(4), pages 1151-1175, August.
    12. Eichner, Thomas & Kollenbach, Gilbert, 2022. "Environmental agreements, research and technological spillovers," European Journal of Operational Research, Elsevier, vol. 300(1), pages 366-377.
    13. Guiomar Martín-Herrán & Santiago J. Rubio, 2024. "Efficiency-Inducing Policy for Polluting Oligopolists," Dynamic Games and Applications, Springer, vol. 14(1), pages 195-222, March.
    14. Parilina, Elena & Yao, Fanjun & Zaccour, Georges, 2024. "Pricing and investment in manufacturing and logistics when environmental reputation matters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    15. Dongdong Li & Chenxuan Shang, 2022. "When does environmental innovation crowd out process innovation? A dynamic analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2275-2283, September.

    More about this item

    JEL classification:

    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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