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Estimating the implied cost of carbon in future scenarios using a CGE model: The Case of Colorado

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  • Hannum, Christopher
  • Cutler, Harvey
  • Iverson, Terrence
  • Keyser, David

Abstract

Using Colorado as a case study, we develop a state-level computable general equilibrium (CGE) model that reflects the roles of coal, natural gas, wind, solar, and hydroelectricity in supplying electricity. We focus on the economic impact of implementing Colorado's existing Renewable Portfolio Standard, updated in 2013. This requires that 25% of state generation come from qualifying renewable sources by 2020. We evaluate the policy under a variety of assumptions regarding wind integration costs and assumptions on the persistence of federal subsidies for wind. Specifically, we estimate the implied price of carbon as the carbon price at which a state-level policy would pass a state-level cost-benefit analysis, taking account of estimated greenhouse gas emission reductions and ancillary benefits from corresponding reductions in criteria pollutants. Our findings suggest that without the Production Tax Credit (federal aid), the state policy of mandating renewable power generation (RPS) is costly to state actors, with an implied cost of carbon of about $17 per ton of CO2 with a 3% discount rate. Federal aid makes the decision between natural gas and wind nearly cost neutral for Colorado.

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  • Hannum, Christopher & Cutler, Harvey & Iverson, Terrence & Keyser, David, 2017. "Estimating the implied cost of carbon in future scenarios using a CGE model: The Case of Colorado," Energy Policy, Elsevier, vol. 102(C), pages 500-511.
    • Handle: RePEc:eee:enepol:v:102:y:2017:i:c:p:500-511
    DOI: 10.1016/j.enpol.2016.12.046
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    7. Zhang, Lirong & Li, Yakun & Jia, Zhijie, 2018. "Impact of carbon allowance allocation on power industry in China’s carbon trading market: Computable general equilibrium based analysis," Applied Energy, Elsevier, vol. 229(C), pages 814-827.
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