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What causes the change in energy demand in the economy?: The role of technological change

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  • Okushima, Shinichiro
  • Tamura, Makoto

Abstract

This paper proposes a simple and theoretically clear approach to the estimation of technological change in a multisector general equilibrium framework. This study employs the Multiple Calibration Decomposition Analysis (MCDA) to evaluate technological change that is responsible for changes in energy use and carbon dioxide emissions in the Japanese economy in the oil crises period from 1970 to 1985. The MCDA serves as an elementary way of separating structural change due to technological change from that due to price substitution effects, capturing the interdependence among economic sectors. The empirical result provides a better understanding of the effects on the economy of technological change in that significant period.

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  • Okushima, Shinichiro & Tamura, Makoto, 2010. "What causes the change in energy demand in the economy?: The role of technological change," Energy Economics, Elsevier, vol. 32(Supplemen), pages 41-46, September.
    • Handle: RePEc:eee:eneeco:v:32:y:2010:i:supplement1:p:s41-s46
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    Cited by:

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    5. Feng Han & Min Huang, 2022. "Land Misallocation and Carbon Emissions: Evidence from China," Land, MDPI, vol. 11(8), pages 1-30, July.
    6. Karanfil, Fatih & Yeddir-Tamsamani, Yasser, 2010. "Is technological change biased toward energy? A multi-sectoral analysis for the French economy," Energy Policy, Elsevier, vol. 38(4), pages 1842-1850, April.
    7. Azlina Abdullah & Hussain Ali Bekhet, 2019. "Investigating the Driving Forces of Energy Intensity Change in Malaysia 1991-2010: A Structural Decomposition Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 121-130.
    8. Yang, Lisha & Li, Zhi, 2017. "Technology advance and the carbon dioxide emission in China – Empirical research based on the rebound effect," Energy Policy, Elsevier, vol. 101(C), pages 150-161.
    9. Ye, Chusheng & Ye, Qin & Shi, Xunpeng & Sun, Yongping, 2020. "Technology gap, global value chain and carbon intensity: Evidence from global manufacturing industries," Energy Policy, Elsevier, vol. 137(C).
    10. Salisu, Afees A. & Ayinde, Taofeek O., 2016. "Modeling energy demand: Some emerging issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1470-1480.
    11. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    12. Jian Song & Jing Wang & Zhe Chen, 2022. "How Low-Carbon Pilots Affect Chinese Urban Energy Efficiency: An Explanation from Technological Progress," IJERPH, MDPI, vol. 19(23), pages 1, November.
    13. Kim, Yong-Gun & Yoo, Jonghyun & Oh, Wankeun, 2015. "Driving forces of rapid CO2 emissions growth: A case of Korea," Energy Policy, Elsevier, vol. 82(C), pages 144-155.
    14. Okushima, Shinichiro & Tamura, Makoto, 2011. "Identifying the sources of energy use change: Multiple calibration decomposition analysis and structural decomposition analysis," Structural Change and Economic Dynamics, Elsevier, vol. 22(4), pages 313-326.
    15. Jinjin Zhou & Zenglin Ma & Taoyuan Wei & Chang Li, 2021. "Threshold Effect of Economic Growth on Energy Intensity—Evidence from 21 Developed Countries," Energies, MDPI, vol. 14(14), pages 1-12, July.
    16. Zhiqiang Zhou & Wenyan Liu & Huilin Wang & Jingyu Yang, 2022. "The Impact of Environmental Regulation on Agricultural Productivity: From the Perspective of Digital Transformation," IJERPH, MDPI, vol. 19(17), pages 1-19, August.
    17. repec:eco:journ2:2017-04-31 is not listed on IDEAS
    18. Jin, Zhida & Li, Zheng & Yang, Mian, 2022. "Producer services development and manufacturing carbon intensity: Evidence from an international perspective," Energy Policy, Elsevier, vol. 170(C).

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