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Carbon footprint analysis through constructing a multi-region input–output table: a case study of Japan

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  • Ryoji Hasegawa
  • Shigemi Kagawa
  • Makiko Tsukui

Abstract

In line with recent trends toward decentralization, prefectural and municipal governments in Japan are becoming increasingly involved with managing global warming in their regions. As a result, there is a new need to estimate the environmental effects of regional economic activities, which can be used to establish effective energy policies at the regional level. However, the details of these effects remain unclear due to a lack of basic data. In this paper, we construct an original multi-region input–output (MRIO) table based on interregional shipments among Japan’s 47 prefectures; this is done using the prefectures’ single-region input–output (SRIO) tables and by applying a non-survey technique. We use the constructed MRIO table, which we make freely available online, to estimate the carbon footprint and carbon leakage of every region and consider the structure of emissions at the regional level from the standpoints of consumer and producer responsibility. The results reveal that production-based emissions often differ significantly from consumption-based emissions. In addition, the regional-level ratio of carbon leakage to carbon footprint is 51.7 % on average and ranges from 34.8 to 79.8 %. Furthermore, the effects of economic activity in and around Tokyo in terms of CO 2 emissions and leakage vary across regions. JEL classification: Q54, R11, R15 Copyright Hasegawa et al. 2015

Suggested Citation

  • Ryoji Hasegawa & Shigemi Kagawa & Makiko Tsukui, 2015. "Carbon footprint analysis through constructing a multi-region input–output table: a case study of Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-20, December.
    • Handle: RePEc:spr:jecstr:v:4:y:2015:i:1:p:1-20:10.1186/s40008-015-0015-6
    DOI: 10.1186/s40008-015-0015-6
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    2. Mi, Zhifu & Zheng, Jiali & Meng, Jing & Zheng, Heran & Li, Xian & Coffman, D'Maris & Woltjer, Johan & Wang, Shouyang & Guan, Dabo, 2019. "Carbon emissions of cities from a consumption-based perspective," Applied Energy, Elsevier, vol. 235(C), pages 509-518.
    3. Mi, Zhifu & Zhang, Yunkun & Guan, Dabo & Shan, Yuli & Liu, Zhu & Cong, Ronggang & Yuan, Xiao-Chen & Wei, Yi-Ming, 2016. "Consumption-based emission accounting for Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1073-1081.
    4. Wang, Zhaohua & Li, Yiming & Cai, Hailin & Yang, Yuantao & Wang, Bo, 2019. "Regional difference and drivers in China's carbon emissions embodied in internal trade," Energy Economics, Elsevier, vol. 83(C), pages 217-228.
    5. Ji Guo & Lei Zhou & Xianhua Wu, 2018. "Tendency of Embodied Carbon Change in the Export Trade of Chinese Manufacturing Industry from 2000 to 2015 and Its Driving Factors," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    6. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Xue, Jin-Jun, 2019. "Changes in carbon intensity globally and in countries: Attribution and decomposition analysis," Applied Energy, Elsevier, vol. 235(C), pages 1492-1504.
    7. Makiko Tsukui & Takumi Ichikawa & Masaru Kagatsume, 2017. "Repercussion effects of consumption by domestic tourists in Tokyo and Kyoto estimated using a regional waste input–output approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-17, December.
    8. Bingjiang Luan & Hanshuo Yang & Hong Zou & Xi Yu, 2023. "The impact of the digital economy on inter-city carbon transfer in China using the life cycle assessment model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    9. Oleksandr Galychyn & B.D. Fath & D. Wiedenhofer & E. Buonocore & P.P. Franzese, 2024. "An urban emergy footprint: Comparing supply- and use-extended input-output models for the case of Vienna, Austria," Post-Print hal-04507173, HAL.
    10. Ryoji Hasegawa & Masaya Yasuoka, 2020. "Long-term care insurance effects on Japan fs regional economy: an approach linking theoretical with empirical analysis," Discussion Paper Series 209, School of Economics, Kwansei Gakuin University.
    11. Min Huang & Yimin Chen & Yuanying Zhang, 2018. "Assessing Carbon Footprint and Inter-Regional Carbon Transfer in China Based on a Multi-Regional Input-Output Model," Sustainability, MDPI, vol. 10(12), pages 1-13, December.
    12. 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.
    13. Fabio Monsalve & Mateo Ortiz & María-Ángeles Cadarso & Enrique Gilles & Jorge Zafrilla & Luis-Antonio López, 2020. "Nesting a city input–output table in a multiregional framework: a case example with the city of Bogota," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-24, December.
    14. Meng, Fanxin & Liu, Gengyuan & Hu, Yuanchao & Su, Meirong & Yang, Zhifeng, 2018. "Urban carbon flow and structure analysis in a multi-scales economy," Energy Policy, Elsevier, vol. 121(C), pages 553-564.

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    More about this item

    Keywords

    Carbon footprint; Multi-region input–output table; Carbon leakage; Economic leakage;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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