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Assessment of CO2 Reductions and Economic Impacts Considering Energy-Saving Investments

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  • Toshihiko Masui, Tatsuya Hanaoka, Saeko Hikita, and Mikiko Kainuma

Abstract

Using a global dynamic optimization model that includes a notion of endogenous energy-saving investments, economic impacts and energy-system changes are assessed under several policy cases where CO2 concentration is stabilized at the 450, 500, and 550 ppm levels by the year 2100. The effect of increased investments in energy-saving technologies on energy efficiency is derived exogenously from results of the AIM/Enduse model applied to Japan, then endogenized in the global dynamic optimization model. We find that with diffusion of energy-saving technologies, GDP loss during the 21st century falls from 2.5% to 2.1% in the 450 ppm case. The impact is small for the 550 ppm case, however, because a shift to low-carbon-intensive energies such as gas and renewable energies does not occur to a significant extent under this target.

Suggested Citation

  • Toshihiko Masui, Tatsuya Hanaoka, Saeko Hikita, and Mikiko Kainuma, 2006. "Assessment of CO2 Reductions and Economic Impacts Considering Energy-Saving Investments," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 175-190.
  • Handle: RePEc:aen:journl:2006se-a08
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    Cited by:

    1. Tiwari, Aviral Kumar, 2014. "The asymmetric Granger-causality analysis between energy consumption and income in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 362-369.
    2. Muhammad Shahbaz Shabbir & Muhammad Shahbaz & Muhammad Zeshan, 2014. "Renewable and Nonrenewable Energy Consumption, Real GDP and CO2 Emissions Nexus: A Structural VAR Approach in Pakistan," Bulletin of Energy Economics (BEE), The Economics and Social Development Organization (TESDO), vol. 2(3), pages 91-105, September.
    3. Shih-Chieh Huang & Shang-Lien Lo & Yen-Ching Lin, 2013. "To Re-Explore the Causality between Barriers to Renewable Energy Development: A Case Study of Wind Energy," Energies, MDPI, vol. 6(9), pages 1-24, August.
    4. Muhammad Shahbaz & Muhammad Zeshan & Aviral Kumar Tiwari, 2015. "Analysis of renewable and nonrenewable energy consumption, real GDP and CO2 emissions: A structural VAR approach in Romania," Bulletin of Energy Economics (BEE), The Economics and Social Development Organization (TESDO), vol. 3(3), pages 105-118, September.
    5. Robalino-López, Andrés & Mena-Nieto, Ángel & García-Ramos, José-Enrique & Golpe, Antonio A., 2015. "Studying the relationship between economic growth, CO2 emissions, and the environmental Kuznets curve in Venezuela (1980–2025)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 602-614.
    6. Álvarez-Herránz, Agustín & Balsalobre, Daniel & Cantos, José María & Shahbaz, Muhammad, 2017. "Energy Innovations-GHG Emissions Nexus: Fresh Empirical Evidence from OECD Countries," Energy Policy, Elsevier, vol. 101(C), pages 90-100.
    7. Aviral Kumar Tiwari, 2011. "Comparative performance of renewable and nonrenewable energy source on economic growth and CO2 emissions of Europe and Eurasian countries: A PVAR approach," Economics Bulletin, AccessEcon, vol. 31(3), pages 2356-2372.
    8. Alexander Golub & Oleg Lugovoy & Anil Markandya & Ramon Arigoni Ortiz & James Wang, 2013. "Regional IAM: analysis of risk-adjusted costs and benefits of climate policies," Working Papers 2013-06, BC3.
    9. Ingmar Schumacher, 2014. "The Aggregation Dilemma," Working Papers 2014-224, Department of Research, Ipag Business School.
    10. Nieto, Jaime & Carpintero, Óscar & Miguel, Luis J. & de Blas, Ignacio, 2020. "Macroeconomic modelling under energy constraints: Global low carbon transition scenarios," Energy Policy, Elsevier, vol. 137(C).
    11. Ingmar Schumacher, 2018. "The Aggregation Dilemma In Climate Change Policy Evaluation," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 1-20, August.
    12. Xu, Yan & Masui, Toshihiko, 2009. "Local air pollutant emission reduction and ancillary carbon benefits of SO2 control policies: Application of AIM/CGE model to China," European Journal of Operational Research, Elsevier, vol. 198(1), pages 315-325, October.
    13. Elizabeth Stanton, 2011. "Negishi welfare weights in integrated assessment models: the mathematics of global inequality," Climatic Change, Springer, vol. 107(3), pages 417-432, August.
    14. Chien, Taichen & Hu, Jin-Li, 2008. "Renewable energy: An efficient mechanism to improve GDP," Energy Policy, Elsevier, vol. 36(8), pages 3035-3042, August.

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    JEL classification:

    • F0 - International Economics - - General

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