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

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  • Kenichi Matsumoto, Yosuke Shigetomi, Hiroto Shiraki, Yuki Ochi, Yuki Ogawa, and 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

  • Kenichi Matsumoto, Yosuke Shigetomi, Hiroto Shiraki, Yuki Ochi, Yuki Ogawa, and Tomoki Ehara, 2019. "Addressing Key Drivers of Regional CO2 Emissions of the Manufacturing Industry in Japan," The Energy Journal, International Association for Energy Economics, vol. 0(The New E).
    • Handle: RePEc:aen:journl:ej40-si1-matsumoto
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    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. 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).
    5. 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.
    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. Shiraki, Hiroto & Matsumoto, Ken'ichi & Shigetomi, Yosuke & Ehara, Tomoki & Ochi, Yuki & Ogawa, Yuki, 2020. "Factors affecting CO2 emissions from private automobiles in Japan: The impact of vehicle occupancy," Applied Energy, Elsevier, vol. 259(C).
    8. Dong, Kangyin & Hochman, Gal & Timilsina, Govinda R., 2020. "Do drivers of CO2 emission growth alter overtime and by the stage of economic development?," Energy Policy, Elsevier, vol. 140(C).

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    JEL classification:

    • F0 - International Economics - - General

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