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A dynamic general equilibrium model of pollution abatement under learning by doing

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  • Li, Shoude
  • Pan, Xiaojun

Abstract

In 2013, Beladi et al. constructed a dynamic general equilibrium model of pollution, and characterized a steady-state equilibrium. In this paper, we extend Beladi et al.’s model to an even more general model in which the pollution abatement costs under learning by doing are taken into account. In our model, the instantaneous abatement costs depend on both the rate of abatement and the experience of using a technology. Our objective is to apply optimal control theory to investigate the dynamic general equilibrium model of pollution abatement, and derive the steady-state equilibrium properties and optimal levels of emission permits and pollution treatment.

Suggested Citation

  • Li, Shoude & Pan, Xiaojun, 2014. "A dynamic general equilibrium model of pollution abatement under learning by doing," Economics Letters, Elsevier, vol. 122(2), pages 285-288.
    • Handle: RePEc:eee:ecolet:v:122:y:2014:i:2:p:285-288
    DOI: 10.1016/j.econlet.2013.12.002
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    References listed on IDEAS

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    1. Bramoulle, Yann & Olson, Lars J., 2005. "Allocation of pollution abatement under learning by doing," Journal of Public Economics, Elsevier, vol. 89(9-10), pages 1935-1960, September.
    2. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
    3. Rubio, Santiago J. & Casino, Begona, 2002. "A note on cooperative versus non-cooperative strategies in international pollution control," Resource and Energy Economics, Elsevier, vol. 24(3), pages 251-261, June.
    4. Goulder, Lawrence H. & Mathai, Koshy, 2000. "Optimal CO2 Abatement in the Presence of Induced Technological Change," Journal of Environmental Economics and Management, Elsevier, vol. 39(1), pages 1-38, January.
    5. Beladi, Hamid & Liu, Lu & Oladi, Reza, 2013. "On pollution permits and abatement," Economics Letters, Elsevier, vol. 119(3), pages 302-305.
    6. Greaker, Mads & Rosendahl, Knut Einar, 2008. "Environmental policy with upstream pollution abatement technology firms," Journal of Environmental Economics and Management, Elsevier, vol. 56(3), pages 246-259, November.
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    Cited by:

    1. Ni, Jian & Huang, Hongzhi & Wang, Peipei & Zhou, Wei, 2020. "Capacity investment and green R&D in a dynamic oligopoly under the potential shift in environmental damage," Economic Modelling, Elsevier, vol. 88(C), pages 312-319.
    2. Chang, Shuhua & Qin, Weihua & Wang, Xinyu, 2018. "Dynamic optimal strategies in transboundary pollution game under learning by doing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 139-147.
    3. Li, Liming & Chen, Weidong, 2021. "The impact of subsidies in a transboundary pollution game with myopic players," Omega, Elsevier, vol. 103(C).
    4. Li, Shoude & Ni, Jian, 2016. "A dynamic analysis of investment in process and product innovation with learning-by-doing," Economics Letters, Elsevier, vol. 145(C), pages 104-108.

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    More about this item

    Keywords

    General equilibrium; Pollution abatement; Learning by doing;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects

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