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Combining carbon tax and R&D subsidy for climate change mitigation

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  • Lim, Jong-Soo
  • Kim, Yong-Gun

Abstract

R&D industry is introduced into a CGE model (KEI-Linkages) as a means to mimic the endogenous technological progress in the Korean economy. We found that providing across-the-board subsidy on R&D expenditure may lead to an increase in the carbon intensity, as well as the real GDP for the Korean economy. However, when R&D subsidies are combined with a carbon tax, real GDP can grow without increasing CO2 emissions. Carbon tax on top of R&D subsidy represses the growth of carbon intensive industries compared to the case of stand-alone R&D subsidy policy. Furthermore, carbon intensive industries reduce carbon intensity by way of fuel mix change to cope with a higher carbon tax rate to meet the national CO2 reduction target. The final outcome impinges on the industry structure of the economy. Therefore, a careful study of the industry structure of the economy is warranted to maximize the effectiveness of climate change policy-mix.

Suggested Citation

  • Lim, Jong-Soo & Kim, Yong-Gun, 2012. "Combining carbon tax and R&D subsidy for climate change mitigation," Energy Economics, Elsevier, vol. 34(S3), pages 496-502.
    • Handle: RePEc:eee:eneeco:v:34:y:2012:i:s3:p:s496-s502
    DOI: 10.1016/j.eneco.2012.04.012
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    Cited by:

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    2. Wenqing Miao & Guohua Zhu & Bingliang Shen & Demin Kong, 2022. "Emissions reduction and pricing of supply chain under cap-and-trade and subsidy mechanisms," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-18, April.
    3. Yong-Gun Kim & Jong-Soo Lim, 2021. "Treatment of indirect emissions from the power sector in Korean emissions trading system," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 23(3), pages 581-592, July.
    4. Beltrán, Allan & Alatorre, José Eduardo & Ferrer, Jimy & Galindo, Luis Miguel, 2017. "Efectos potenciales de un impuesto al carbono sobre el producto interno bruto en los países de América Latina: estimaciones preliminares e hipotéticas a partir de un metaanálisis y una función de tran," Documentos de Proyectos 41867, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    5. Ghaith, Ahmad F. & Epplin, Francis M., 2017. "Consequences of a carbon tax on household electricity use and cost, carbon emissions, and economics of household solar and wind," Energy Economics, Elsevier, vol. 67(C), pages 159-168.
    6. Calvin, Katherine & Clarke, Leon & Krey, Volker & Blanford, Geoffrey & Jiang, Kejun & Kainuma, Mikiko & Kriegler, Elmar & Luderer, Gunnar & Shukla, P.R., 2012. "The role of Asia in mitigating climate change: Results from the Asia modeling exercise," Energy Economics, Elsevier, vol. 34(S3), pages 251-260.
    7. Iyke, Bernard Njindan, 2024. "Climate change, energy security risk, and clean energy investment," Energy Economics, Elsevier, vol. 129(C).
    8. Qiang Du & Yunqing Yan & Youdan Huang & Chanchan Hao & Jiao Wu, 2021. "Evolutionary Games of Low-Carbon Behaviors of Construction Stakeholders under Carbon Taxes," IJERPH, MDPI, vol. 18(2), pages 1-20, January.
    9. Babatunde, Kazeem Alasinrin & Begum, Rawshan Ara & Said, Fathin Faizah, 2017. "Application of computable general equilibrium (CGE) to climate change mitigation policy: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 61-71.
    10. Zha, Donglan & Jiang, Pansong & Zhang, Chaoqun & Xia, Dan & Cao, Yang, 2023. "Positive synergy or negative synergy: An assessment of the carbon emission reduction effect of renewable energy policy mixes on China's power sector," Energy Policy, Elsevier, vol. 183(C).
    11. Fan, Lurong & Wang, Binyu & Song, Xiaoling, 2023. "An authority-enterprise equilibrium differentiated subsidy mechanism for promoting coalbed methane extraction in multiple coal seams," Energy, Elsevier, vol. 263(PA).
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    More about this item

    Keywords

    Induced technical change; Policy-mix; Climate change mitigation; Computable general equilibrium model;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • 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
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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