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Substitutability and the Cost of Climate Mitigation Policy

Author

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  • Yingying Lu
  • David Stern

Abstract

The degree of substitutability assumed between inputs in production and commodities in consumption is one of the key factors that might affect the range of predicted climate mitigation costs. We explore how and by how much assumptions about elasticities of substitution affect estimates of the cost of emissions reduction policies in computable general equilibrium (CGE) models.We use G-Cubed, an intertemporal CGE model, to carry out a sensitivity analysis and apply factor decomposition analysis to the outcomes from the model.The results suggest that the average abatement cost rises non-linearly as elasticities are reduced. Substitution elasticities between capital, labor, energy, and materials in production have a larger impact on mitigation costs than inter-fuel substitution does. There are notable differences in the effect of the elasticities on costs at the regional level due to interactions in international trade and capital flows in such a global model. As elasticities are reduced, growth in GDP and emissions also decrease under the business as usual scenario and so the emissions that must be cut to reach a given absolute mitigation target are also reduced. Therefore, there is not much variation in the total costs of reaching a given target across the parameter space.

Suggested Citation

  • Yingying Lu & David Stern, 2014. "Substitutability and the Cost of Climate Mitigation Policy," EcoMod2014 6692, EcoMod.
  • Handle: RePEc:ekd:006356:6692
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. My Year in Review 2014
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2014-12-30 06:58:00
    2. Wrapping up ARC DP12 Project
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2015-11-15 17:15:00
    3. Should We Stop Investing in Carbon-Free Energy So That We Will Be Able to Afford CCS?
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2016-04-07 04:41:00
    4. Mid-Year Update
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2016-06-01 08:40:00
    5. Annual Review 2016
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2016-12-26 17:08:00

    Citations

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    Cited by:

    1. Mei Lu & Michael G Pollitt, 2025. "Will high carbon prices reduce fossil fuel use in China? Evidence from price elasticity estimates using firm data," Working Papers EPRG2508, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    2. Ma, Chunbo & Stern, David I., 2016. "Long-run estimates of interfuel and interfactor elasticities," Resource and Energy Economics, Elsevier, vol. 46(C), pages 114-130.
    3. Lu, Yingying & Liu, Yu & Zhou, Meifang, 2017. "Rebound effect of improved energy efficiency for different energy types: A general equilibrium analysis for China," Energy Economics, Elsevier, vol. 62(C), pages 248-256.
    4. Paul E. Brockway & Matthew K. Heun & João Santos & John R. Barrett, 2017. "Energy-Extended CES Aggregate Production: Current Aspects of Their Specification and Econometric Estimation," Energies, MDPI, vol. 10(2), pages 1-23, February.
    5. Chen, Shuyang & Wang, Can, 2023. "Inequality impacts of ETS penalties: A case study on the recent Chinese nationwide ETS market," Energy Policy, Elsevier, vol. 173(C).
    6. Li, Jun & Hamdi-Cherif, Meriem & Cassen, Christophe, 2017. "Aligning domestic policies with international coordination in a post-Paris global climate regime: A case for China," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 258-274.
    7. Kalsbach, Oliver & Rausch, Sebastian, 2024. "Pricing carbon in a multi-sector economy with social discounting," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    8. Mufutau Opeyemi Bello & Sakiru Adebola Solarin & Yuen Yee Yen, 2018. "Interfuel Substitution, Hydroelectricity Consumption and CO2 Emissions Mitigation in Malaysia: Evidence from a Transcendental Logarithm (trans-log) Cost Function Framework," Working Papers 4, Department of Economics, University of Ilorin.
    9. Shuyang Chen, 2022. "The inequality impacts of the carbon tax in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    10. Zhang, Hao & Wang, Feng & Fan, Wenna & Jiang, Hongfei & Ling, Rui & Liu, Juan, 2025. "Estimation of capital stock and the elasticity of capital-labor substitution in provincial industries in China," International Review of Economics & Finance, Elsevier, vol. 102(C).
    11. Feng, Shenghao & Zhang, Keyu, 2018. "Fuel-factor nesting structures in CGE models of China," Energy Economics, Elsevier, vol. 75(C), pages 274-284.
    12. Shenghao Feng & Keyu Zhang & Xiujian Peng, 2021. "Elasticity of Substitution Between Electricity and Non-Electric Energy in the Context of Carbon Neutrality in China," Centre of Policy Studies/IMPACT Centre Working Papers g-323, Victoria University, Centre of Policy Studies/IMPACT Centre.
    13. Xin Su & Frédéric Ghersi & Fei Teng & Gaëlle Treut & Meicong Liang, 2022. "The economic impact of a deep decarbonisation pathway for China: a hybrid model analysis through bottom-up and top-down linking," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(1), pages 1-37, January.

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    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

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