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Energy intensive infrastructure investments with retrofits in continuous time : effects of uncertainty on energy use and carbon emissions

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  • Framstad, Nils Christian
  • Strand, Jon

Abstract

Energy-intensive infrastructure may tie up fossil energy use and carbon emissions for a long time after investments, making the structure of such investments crucial for society. Much or most of the resulting carbon emissions can often be eliminated later, through a costly retrofit. This paper studies the simultaneous decision to invest in such infrastructure, and retrofit it later, in a model where future climate damages are uncertain and follow a geometric Brownian motion process with positive drift. It shows that greater uncertainty about climate cost (for given unconditional expected costs) then delays the retrofit decision by increasing the option value of waiting to invest. Higher energy intensity is also chosen for the initial infrastructure when uncertainty is greater. These decisions are efficient given that energy and carbon prices facing the decision maker are (globally) correct, but inefficient when they are lower, which is more typical. Greater uncertainty about future climate costs will then further increase lifetime carbon emissions from the infrastructure, related both to initial investments, and to too infrequent retrofits when this emissions level is already too high. An initially excessive climate gas emissions level is then likely to be worsened when volatility increases.

Suggested Citation

  • Framstad, Nils Christian & Strand, Jon, 2013. "Energy intensive infrastructure investments with retrofits in continuous time : effects of uncertainty on energy use and carbon emissions," Policy Research Working Paper Series 6430, The World Bank.
  • Handle: RePEc:wbk:wbrwps:6430
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    1. Shalizi, Zmarak & Lecocq, Franck, 2009. "Climate change and the economics of targeted mitigation in sectors with long-lived capital stock," Policy Research Working Paper Series 5063, The World Bank.
    2. Adrien Vogt-Schilb & St�phane Hallegatte & Christophe de Gouvello, 2015. "Marginal abatement cost curves and the quality of emission reductions: a case study on Brazil," Climate Policy, Taylor & Francis Journals, vol. 15(6), pages 703-723, November.
    3. Framstad, N.C., 2011. "A remark on R.S. Pindyck: "Irreversibilities and the timing of environmental policy"," Resource and Energy Economics, Elsevier, vol. 33(3), pages 756-760, September.
    4. Pindyck, Robert S., 2000. "Irreversibilities and the timing of environmental policy," Resource and Energy Economics, Elsevier, vol. 22(3), pages 233-259, July.
    5. Pindyck, Robert S., 2002. "Optimal timing problems in environmental economics," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1677-1697, August.
    6. Strand, Jon, 2014. "Implications of a lowered damage trajectory for mitigation in a continuous-time stochastic model," Energy Economics, Elsevier, vol. 42(C), pages 43-49.
    7. Strand, Jon & Miller, Sebastian & Siddiqui, Sauleh, 2011. "Infrastructure investments under uncertainty with the possibility of retrofit : theory and simulations," Policy Research Working Paper Series 5516, The World Bank.
    8. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    9. Nils Chr. Framstad, 2014. "When can the environmental profile and emissions reduction be optimised independently of the pollutant level?," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 3(1), pages 25-45, March.
    10. M. Ha-Duong & M. J. Grubb & J.-C. Hourcade, 1997. "Influence of socioeconomic inertia and uncertainty on optimal CO2-emission abatement," Nature, Nature, vol. 390(6657), pages 270-273, November.
    11. Vogt-Schilb, Adrien & Meunier, Guy & Hallegatte, Stephane, 2012. "How inertia and limited potentials affect the timing of sectoral abatements in optimal climate policy," Policy Research Working Paper Series 6154, The World Bank.
    12. Guy Meunier & Dominique Finon, 2013. "Option value in low-carbon technology policies," Climate Policy, Taylor & Francis Journals, vol. 13(1), pages 1-19, January.
    13. Anas, Alex & Timilsina, Govinda R., 2009. "Lock-in effects of road expansion on CO2 emissions : results from a core-periphery model of Beijing," Policy Research Working Paper Series 5017, The World Bank.
    14. Vogt-Schilb, Adrien & Hallegatte, Stephane & de Gouvello Christophe, 2014. "Long-term mitigation strategies and marginal abatement cost curves : a case study on Brazil," Policy Research Working Paper Series 6808, The World Bank.
    15. Strand, Jon & Miller, Sebastian, 2010. "Climate cost uncertainty, retrofit cost uncertainty, and infrastructure closedown : a framework for analysis," Policy Research Working Paper Series 5208, The World Bank.
    16. Balikcioglu, Metin & Fackler, Paul L. & Pindyck, Robert S., 2011. "Solving optimal timing problems in environmental economics," Resource and Energy Economics, Elsevier, vol. 33(3), pages 761-768, September.
    17. Franck Lecocq & Zmarak Shalizi, 2014. "The economics of targeted mitigation in infrastructure," Climate Policy, Taylor & Francis Journals, vol. 14(2), pages 187-208, March.
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    Cited by:

    1. Lingyun He & Fang Yin & Zhangqi Zhong & Zhihua Ding, 2017. "The impact of local government investment on the carbon emissions reduction effect: An empirical analysis of panel data from 30 provinces and municipalities in China," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-20, July.
    2. Strand, Jon, 2014. "Implications of a lowered damage trajectory for mitigation in a continuous-time stochastic model," Energy Economics, Elsevier, vol. 42(C), pages 43-49.
    3. Nils Chr. Framstad, 2014. "When can the environmental profile and emissions reduction be optimised independently of the pollutant level?," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 3(1), pages 25-45, March.
    4. Strand, Jon & Miller, Sebastian & Siddiqui, Sauleh, 2014. "Long-run carbon emission implications of energy-intensive infrastructure investments with a retrofit option," Energy Economics, Elsevier, vol. 46(C), pages 308-317.
    5. Bernard Lapeyre & Emile Quinet, 2017. "A Simple GDP-based Model for Public Investments at Risk," Post-Print hal-01666574, HAL.
    6. Chiu, Yi-Bin, 2017. "Carbon dioxide, income and energy: Evidence from a non-linear model," Energy Economics, Elsevier, vol. 61(C), pages 279-288.

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    More about this item

    Keywords

    Climate Change Mitigation and Green House Gases; Climate Change Economics; Transport Economics Policy&Planning; Energy Production and Transportation; Environmental Economics&Policies;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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