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City-level household carbon footprint from purchaser point of view by a modified input-output model

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  • Long, Yin
  • Yoshida, Yoshikuni
  • Fang, Kai
  • Zhang, Haoran
  • Dhondt, Maya

Abstract

Residential consumption produces carbon emissions through the combustion of primary energy (directly) as well as through the consumption of goods and services (indirectly). To capture the latter indirect emissions, it is common to use producer-price based input-output analysis associated with household monetary expenditures. However, producer-price input-output tables usually do not account for economic transactions and energy flows at the margin. To better understand household indirect emissions from the purchaser perspective, there is a need for a modified input–output modeling approach. To that end, this study attempts to measure the carbon footprint of households in the Tokyo Metropolis, Japan by integrating monthly household consumption inventories into an input–output table of Tokyo. By doing so, the carbon footprint was estimated to be 0.76 tC per household and the total estimated marginal carbon emissions for Tokyo is up to 0.56 MtC. A sectoral breakdown of the total emission coefficients is provided based on purchaser prices and temporal variations in emissions. Findings indicate that within household consumption, Clothing and Services categories contributed most to marginal emissions. The conclusions drawn in this paper are pertinent and policy relevant because they provide relatively accurate information compared to the status quo to inform appropriate policies for guiding residential consumption at the city scale of resolution.

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  • Long, Yin & Yoshida, Yoshikuni & Fang, Kai & Zhang, Haoran & Dhondt, Maya, 2019. "City-level household carbon footprint from purchaser point of view by a modified input-output model," Applied Energy, Elsevier, vol. 236(C), pages 379-387.
  • Handle: RePEc:eee:appene:v:236:y:2019:i:c:p:379-387
    DOI: 10.1016/j.apenergy.2018.12.002
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    as
    1. Park, Hi-Chun & Heo, Eunnyeong, 2007. "The direct and indirect household energy requirements in the Republic of Korea from 1980 to 2000--An input-output analysis," Energy Policy, Elsevier, vol. 35(5), pages 2839-2851, May.
    2. Chen, Shaoqing & Xu, Bing & Chen, Bin, 2018. "Unfolding the interplay between carbon flows and socioeconomic development in a city: What can network analysis offer?," Applied Energy, Elsevier, vol. 211(C), pages 403-412.
    3. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    4. Liu, Hong-Tao & Guo, Ju-E & Qian, Dong & Xi, You-Min, 2009. "Comprehensive evaluation of household indirect energy consumption and impacts of alternative energy policies in China by input-output analysis," Energy Policy, Elsevier, vol. 37(8), pages 3194-3204, August.
    5. Bye, Brita & Fæhn, Taran & Rosnes, Orvika, 2018. "Residential energy efficiency policies: Costs, emissions and rebound effects," Energy, Elsevier, vol. 143(C), pages 191-201.
    6. Kerkhof, Annemarie C. & Nonhebel, Sanderine & Moll, Henri C., 2009. "Relating the environmental impact of consumption to household expenditures: An input-output analysis," Ecological Economics, Elsevier, vol. 68(4), pages 1160-1170, February.
    7. Zhang, Haoran & Song, Xuan & Xia, Tianqi & Yuan, Meng & Fan, Zipei & Shibasaki, Ryosuke & Liang, Yongtu, 2018. "Battery electric vehicles in Japan: Human mobile behavior based adoption potential analysis and policy target response," Applied Energy, Elsevier, vol. 220(C), pages 527-535.
    8. Lenzen, Manfred, 1998. "Primary energy and greenhouse gases embodied in Australian final consumption: an input-output analysis," Energy Policy, Elsevier, vol. 26(6), pages 495-506, May.
    9. Štreimikienė, Dalia & Balezentis, Tomas, 2016. "Kaya identity for analysis of the main drivers of GHG emissions and feasibility to implement EU “20–20–20” targets in the Baltic States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1108-1113.
    10. Fang, Kai & Dong, Liang & Ren, Jingzheng & Zhang, Qifeng & Han, Ling & Fu, Huizhen, 2017. "Carbon footprints of urban transition: Tracking circular economy promotions in Guiyang, China," Ecological Modelling, Elsevier, vol. 365(C), pages 30-44.
    11. Cui, Lian-Biao & Peng, Pan & Zhu, Lei, 2015. "Embodied energy, export policy adjustment and China's sustainable development: A multi-regional input-output analysis," Energy, Elsevier, vol. 82(C), pages 457-467.
    12. Zhong, Zhangqi & Jiang, Lei & Zhou, Peng, 2018. "Transnational transfer of carbon emissions embodied in trade: Characteristics and determinants from a spatial perspective," Energy, Elsevier, vol. 147(C), pages 858-875.
    13. Palmer, Graham, 2017. "An input-output based net-energy assessment of an electricity supply industry," Energy, Elsevier, vol. 141(C), pages 1504-1516.
    14. Zhang, Youguo & Tang, Zhipeng, 2015. "Driving factors of carbon embodied in China's provincial exports," Energy Economics, Elsevier, vol. 51(C), pages 445-454.
    15. Long, Yin & Dong, Liang & Yoshida, Yoshikuni & Li, Zhaoling, 2018. "Evaluation of energy-related household carbon footprints in metropolitan areas of Japan," Ecological Modelling, Elsevier, vol. 377(C), pages 16-25.
    16. Kok, Rixt & Benders, Rene M.J. & Moll, Henri C., 2006. "Measuring the environmental load of household consumption using some methods based on input-output energy analysis: A comparison of methods and a discussion of results," Energy Policy, Elsevier, vol. 34(17), pages 2744-2761, November.
    17. Long, Yin & Yoshida, Yoshikuni & Zhang, Runsen & Sun, Lu & Dou, Yi, 2018. "Policy implications from revealing consumption-based carbon footprint of major economic sectors in Japan," Energy Policy, Elsevier, vol. 119(C), pages 339-348.
    18. Lin, Jianyi & Hu, Yuanchao & Zhao, Xiaofeng & Shi, Longyu & Kang, Jiefeng, 2017. "Developing a city-centric global multiregional input-output model (CCG-MRIO) to evaluate urban carbon footprints," Energy Policy, Elsevier, vol. 108(C), pages 460-466.
    19. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198, October.
    20. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
    21. Jiang, Jinhe, 2016. "China's urban residential carbon emission and energy efficiency policy," Energy, Elsevier, vol. 109(C), pages 866-875.
    22. Ding, Qun & Cai, Wenjia & Wang, Can & Sanwal, Mukul, 2017. "The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective," Applied Energy, Elsevier, vol. 207(C), pages 520-532.
    23. Zhang, Haoran & Liang, Yongtu & Liao, Qi & Yan, Xiaohan & Shen, Yun & Zhao, Yabin, 2017. "A three-stage stochastic programming method for LNG supply system infrastructure development and inventory routing in demanding countries," Energy, Elsevier, vol. 133(C), pages 424-442.
    24. Wang, Wenwen & Zhang, Ming & Li, Peng, 2014. "Exploring temporal and spatial evolution of global energy production and consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 943-949.
    25. Sun, Xudong & Li, Jiashuo & Qiao, Han & Zhang, Bo, 2017. "Energy implications of China's regional development: New insights from multi-regional input-output analysis," Applied Energy, Elsevier, vol. 196(C), pages 118-131.
    26. Long, Yin & Yoshida, Yoshikuni, 2018. "Quantifying city-scale emission responsibility based on input-output analysis – Insight from Tokyo, Japan," Applied Energy, Elsevier, vol. 218(C), pages 349-360.
    27. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935, October.
    28. Cellura, Maurizio & Longo, Sonia & Mistretta, Marina, 2011. "The energy and environmental impacts of Italian households consumptions: An input–output approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3897-3908.
    29. Zhang, Xiaoling & Wang, Yue, 2017. "How to reduce household carbon emissions: A review of experience and policy design considerations," Energy Policy, Elsevier, vol. 102(C), pages 116-124.
    30. Brizga, Janis & Feng, Kuishuang & Hubacek, Klaus, 2017. "Household carbon footprints in the Baltic States: A global multi-regional input–output analysis from 1995 to 2011," Applied Energy, Elsevier, vol. 189(C), pages 780-788.
    31. Mu, Tao & Xia, Qing & Kang, Chongqing, 2010. "Input-output table of electricity demand and its application," Energy, Elsevier, vol. 35(1), pages 326-331.
    32. Zhang, Haoran & Liang, Yongtu & Liao, Qi & Wu, Mengyu & Yan, Xiaohan, 2017. "A hybrid computational approach for detailed scheduling of products in a pipeline with multiple pump stations," Energy, Elsevier, vol. 119(C), pages 612-628.
    Full references (including those not matched with items on IDEAS)

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