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Evaluation of environmental energy efficiency and its influencing factors: a prefecture-level analysis of Japanese manufacturing industries

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  • Masayuki Shimizu

    (University of the Ryukyus)

  • Oscar Tiku

    (Tokyo Metropolitan University)

Abstract

This study evaluates the progress of efficient energy use and the control of carbon dioxide (CO2) emissions in Japan between 1990 and 2012. A new indicator of energy performance is presented called environmental energy efficiency (EEE). The EEE of manufacturing industries was measured by each prefecture in Japan. We estimated the influencing factors of EEE for each industry by applying the pooled mean group (PMG) method. Our findings are as follows: First, the Japanese manufacturing industry has not been in line with the EEE improvement goals since the adoption of the Kyoto Protocol. However, the progress of each industry was relatively consistent by region. Second, EEE tends to improve and then deteriorate or monotonically increase as economic development progresses. Third, EEE is raised by expanding industry share. Finally, EEE, which focuses on energy reduction, is likely to increase with the progress of energy-saving technology.

Suggested Citation

  • Masayuki Shimizu & Oscar Tiku, 2023. "Evaluation of environmental energy efficiency and its influencing factors: a prefecture-level analysis of Japanese manufacturing industries," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-26, December.
    • Handle: RePEc:spr:jecstr:v:12:y:2023:i:1:d:10.1186_s40008-023-00297-9
    DOI: 10.1186/s40008-023-00297-9
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    Cited by:

    1. Umar Nawaz Kayani & Mochammad Fahlevi & Roohi Mumtaz & Reema Al Qaruty & Muzaffar Asad, 2023. "The Nexus between Carbon Emissions and Per Capita Income of Households: Evidence from Japanese Prefectures," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 567-572, November.

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    More about this item

    Keywords

    Cleaner production; Data envelopment analysis; Environmental energy efficiency; Manufacturing industry; Pooled mean group;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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