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Addressing Key Drivers of Regional CO2 Emissions of the Manufacturing Industry in Japan

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  • Ken’ichi Matsumoto
  • Yosuke Shigetomi
  • Hiroto Shiraki
  • Yuki Ochi
  • Yuki Ogawa
  • Tomoki Ehara

Abstract

This study investigated the factors behind the historical changes in CO2 emissions of the Japanese manufacturing industry as a whole and by sector at the prefectural level. We decomposed the changes of CO2 emissions in 47 prefectures from 1990 to 2013 into four factors (carbon intensity, energy intensity, structure, and activity effects) using the logarithmic mean Divisia index method. We found that energy intensity, structure, and activity effects were more influential in the changes of emissions than the carbon intensity effect, although the most influential factor varied by prefecture. Among the eight considered industrial sectors of Japan’s manufacturing industry, the changes in the chemistry and metal sectors were particularly complex. Thus, improvements of the energy intensity and production in these two sectors should be prioritized. We also conducted detailed analysis of the decomposed factors in three selected prefectures based on cluster analysis.

Suggested Citation

  • Ken’ichi Matsumoto & Yosuke Shigetomi & Hiroto Shiraki & Yuki Ochi & Yuki Ogawa & Tomoki Ehara, 2019. "Addressing Key Drivers of Regional CO2 Emissions of the Manufacturing Industry in Japan," The Energy Journal, , vol. 40(1_suppl), pages 233-258, June.
    • Handle: RePEc:sae:enejou:v:40:y:2019:i:1_suppl:p:233-258
    DOI: 10.5547/01956574.40.SI1.kmat
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    Cited by:

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    3. Jianshi Wang & Shangkun Yu & Mengcheng Li & Yu Cheng & Chengxin Wang, 2022. "Study of the Impact of Industrial Restructuring on the Spatial and Temporal Evolution of Carbon Emission Intensity in Chinese Provinces—Analysis of Mediating Effects Based on Technological Innovation," IJERPH, MDPI, vol. 19(20), pages 1-18, October.
    4. Yuzhuo Huang & Yosuke Shigetomi & Andrew Chapman & Ken’ichi Matsumoto, 2019. "Uncovering Household Carbon Footprint Drivers in an Aging, Shrinking Society," Energies, MDPI, vol. 12(19), pages 1-18, September.
    5. Yuzhuo Huang & Ken’ichi Matsumoto, 2022. "Estimation of CO 2 Emissions Embodied in Domestic Trade and Their Influencing Factors in Japan," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    6. Lu, Guanyu & Sugino, Makoto & Arimura, Toshi H. & Horie, Tetsuya, 2022. "Success and failure of the voluntary action plan: Disaggregated sector decomposition analysis of energy-related CO2 emissions in Japan," Energy Policy, Elsevier, vol. 163(C).
    7. Ren, Xiaohang & Lu, Qian & Gozgor, Giray & Fu, Haiqin, 2025. "Natural gas and the battle of carbon emissions: Interpreting the spatial effects of provincial carbon emissions in China," International Review of Economics & Finance, Elsevier, vol. 97(C).
    8. Zhu, Runqing & Lin, Boqiang, 2021. "Energy and carbon performance improvement in China's mining Industry:Evidence from the 11th and 12th five-year plan," Energy Policy, Elsevier, vol. 154(C).
    9. Zhang, Xian & Wang, Jia-Xing & Cao, Zhe & Shen, Shuo & Meng, Shuo & Fan, Jing-Li, 2021. "What is driving the remarkable decline of wind and solar power curtailment in China? Evidence from China and four typical provinces," Renewable Energy, Elsevier, vol. 174(C), pages 31-42.

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    More about this item

    Keywords

    Decomposition analysis; CO2 emissions; Manufacturing industry; Prefectural-level analysis; Japan;
    All these keywords.

    JEL classification:

    • F0 - International Economics - - General

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