IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v247y2019icp350-362.html
   My bibliography  Save this article

Unequal age-based household emission and its monthly variation embodied in energy consumption – A cases study of Tokyo, Japan

Author

Listed:
  • Long, Yin
  • Yoshida, Yoshikuni
  • Meng, Jing
  • Guan, Dabo
  • Yao, Liming
  • Zhang, Haoran

Abstract

City is the main place to consume goods and services throughout the world. Among the various consumption terminals, household-level consumption is highly behavior driven, which can be affected by various factors such as household income level, age, living environment etc. However, city-level household emissions characteristics are still not fully understood due to the complexity of consumption behaviors and the lack of the supply chain’s data. To include the environmental responsibility embodied in residential consumption and reveal how it varies among household type and season, this study investigates city-level household consumption as it relates to energy demand using a city-scale input-output model and urban residential consumption inventories. Importantly, age- and month-based emission are analyzed from different aspects such as emission type, source, fuel types and consumption items. Findings indicate that (1) household emissions differ substantially among the various household age groups; older households generally produce higher emissions levels on a per capita basis; (2) decreases in temperature are the main reason for the increased emissions in older households, while this is not a significant factor in younger households; (3) the high per capita household emissions in older households indicate inefficient energy usage among elder citizens, which strongly suggests that aging societies will face long-term emissions increases if appropriate measures are not taken.

Suggested Citation

  • Long, Yin & Yoshida, Yoshikuni & Meng, Jing & Guan, Dabo & Yao, Liming & Zhang, Haoran, 2019. "Unequal age-based household emission and its monthly variation embodied in energy consumption – A cases study of Tokyo, Japan," Applied Energy, Elsevier, vol. 247(C), pages 350-362.
  • Handle: RePEc:eee:appene:v:247:y:2019:i:c:p:350-362
    DOI: 10.1016/j.apenergy.2019.04.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919306440
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2019.04.019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935.
    5. 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.
    6. Reinders, A. H. M. E. & Vringer, K. & Blok, K., 2003. "The direct and indirect energy requirement of households in the European Union," Energy Policy, Elsevier, vol. 31(2), pages 139-153, January.
    7. Büchs, Milena & Schnepf, Sylke V., 2013. "Who emits most? Associations between socio-economic factors and UK households' home energy, transport, indirect and total CO2 emissions," Ecological Economics, Elsevier, vol. 90(C), pages 114-123.
    8. 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.
    9. Dominik Wiedenhofer & Dabo Guan & Zhu Liu & Jing Meng & Ning Zhang & Yi-Ming Wei, 2017. "Unequal household carbon footprints in China," Nature Climate Change, Nature, vol. 7(1), pages 75-80, January.
    10. Lenzen, Manfred & Wier, Mette & Cohen, Claude & Hayami, Hitoshi & Pachauri, Shonali & Schaeffer, Roberto, 2006. "A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan," Energy, Elsevier, vol. 31(2), pages 181-207.
    11. 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.
    12. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198.
    13. Perobelli, Fernando Salgueiro & Faria, Weslem Rodrigues & Vale, Vinicius de Almeida, 2015. "The increase in Brazilian household income and its impact on CO2 emissions: Evidence for 2003 and 2009 from input–output tables," Energy Economics, Elsevier, vol. 52(PA), pages 228-239.
    14. Shigetomi, Yosuke & Matsumoto, Ken'ichi & Ogawa, Yuki & Shiraki, Hiroto & Yamamoto, Yuki & Ochi, Yuki & Ehara, Tomoki, 2018. "Driving forces underlying sub-national carbon dioxide emissions within the household sector and implications for the Paris Agreement targets in Japan," Applied Energy, Elsevier, vol. 228(C), pages 2321-2332.
    15. 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.
    16. Mach, Radomír & Weinzettel, Jan & Ščasný, Milan, 2018. "Environmental Impact of Consumption by Czech Households: Hybrid Input–Output Analysis Linked to Household Consumption Data," Ecological Economics, Elsevier, vol. 149(C), pages 62-73.
    17. Manfred Lenzen & Richard Wood & Thomas Wiedmann, 2010. "Uncertainty Analysis For Multi-Region Input-Output Models - A Case Study Of The Uk'S Carbon Footprint," Economic Systems Research, Taylor & Francis Journals, vol. 22(1), pages 43-63.
    18. Zhu, Qin & Peng, Xizhe & Wu, Kaiya, 2012. "Calculation and decomposition of indirect carbon emissions from residential consumption in China based on the input–output model," Energy Policy, Elsevier, vol. 48(C), pages 618-626.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lee, Chien-Chiang & Hussain, Jafar, 2023. "An assessment of socioeconomic indicators and energy consumption by considering green financing," Resources Policy, Elsevier, vol. 81(C).
    2. Lina Liu & Jiansheng Qu & Tek Narayan Maraseni & Yibo Niu & Jingjing Zeng & Lihua Zhang & Li Xu, 2020. "Household CO 2 Emissions: Current Status and Future Perspectives," IJERPH, MDPI, vol. 17(19), pages 1-19, September.
    3. An, Kangxin & Zhang, Shihui & Huang, Hai & Liu, Yuan & Cai, Wenjia & Wang, Can, 2021. "Socioeconomic impacts of household participation in emission trading scheme: A Computable General Equilibrium-based case study," Applied Energy, Elsevier, vol. 288(C).
    4. Sun, Lu & Liu, Wenjing & Li, Zhaoling & Cai, Bofeng & Fujii, Minoru & Luo, Xiao & Chen, Wei & Geng, Yong & Fujita, Tsuyoshi & Le, Yiping, 2021. "Spatial and structural characteristics of CO2 emissions in East Asian megacities and its indication for low-carbon city development," Applied Energy, Elsevier, vol. 284(C).
    5. Li, Xi & Zhang, Runsen & Chen, Jundong & Jiang, Yida & Zhang, Qiong & Long, Yin, 2021. "Urban-scale carbon footprint evaluation based on citizen travel demand in Japan," Applied Energy, Elsevier, vol. 286(C).
    6. Zhen, Wei & Qin, Quande & Miao, Lu, 2023. "The greenhouse gas rebound effect from increased energy efficiency across China's staple crops," Energy Policy, Elsevier, vol. 173(C).
    7. Chen, Peipei & Wu, Yi & Zhong, Honglin & Long, Yin & Meng, Jing, 2022. "Exploring household emission patterns and driving factors in Japan using machine learning methods," Applied Energy, Elsevier, vol. 307(C).
    8. 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.
    9. Pedro J. Zarco-Periñán & Fco Javier Zarco-Soto & Irene M. Zarco-Soto & José L. Martínez-Ramos & Rafael Sánchez-Durán, 2022. "CO 2 Emissions in Buildings: A Synopsis of Current Studies," Energies, MDPI, vol. 15(18), pages 1-10, September.
    10. Xiaoyu Liu & Xian’en Wang & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "Why Are the Carbon Footprints of China’s Urban Households Rising? An Input–Output Analysis and Structural Decomposition Analysis," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    11. Liu, Zhengguang & Guo, Zhiling & Chen, Qi & Song, Chenchen & Shang, Wenlong & Yuan, Meng & Zhang, Haoran, 2023. "A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives," Energy, Elsevier, vol. 263(PE).
    12. Xu, Zhongwen & Yao, Liming & Liu, Qiaoling & Long, Yin, 2019. "Policy implications for achieving the carbon emission reduction target by 2030 in Japan-Analysis based on a bilevel equilibrium model," Energy Policy, Elsevier, vol. 134(C).
    13. Huang, Liqiao & Liao, Qi & Qiu, Rui & Liang, Yongtu & Long, Yin, 2021. "Prediction-based analysis on power consumption gap under long-term emergency: A case in China under COVID-19," Applied Energy, Elsevier, vol. 283(C).
    14. Yu, Yan-Yan & Liang, Qiao-mei & Liu, Li-Jing, 2023. "Impact of population ageing on carbon emissions: A case of China's urban households," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 86-100.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Pottier, Antonin, 2022. "Expenditure elasticity and income elasticity of GHG emissions: A survey of literature on household carbon footprint," Ecological Economics, Elsevier, vol. 192(C).
    3. Jiang, Yida & Long, Yin & Liu, Qiaoling & Dowaki, Kiyoshi & Ihara, Tomohiko, 2020. "Carbon emission quantification and decarbonization policy exploration for the household sector - Evidence from 51 Japanese cities," Energy Policy, Elsevier, vol. 140(C).
    4. Li, Xi & Zhang, Runsen & Chen, Jundong & Jiang, Yida & Zhang, Qiong & Long, Yin, 2021. "Urban-scale carbon footprint evaluation based on citizen travel demand in Japan," Applied Energy, Elsevier, vol. 286(C).
    5. Xin Li & Xiaoqiong He & Xiyu Luo & Xiandan Cui & Minxi Wang, 2020. "Exploring the characteristics and drivers of indirect energy consumption of urban and rural households from a sectoral perspective," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(5), pages 907-924, October.
    6. Ryu Koide & Michael Lettenmeier & Satoshi Kojima & Viivi Toivio & Aryanie Amellina & Lewis Akenji, 2019. "Carbon Footprints and Consumer Lifestyles: An Analysis of Lifestyle Factors and Gap Analysis by Consumer Segment in Japan," Sustainability, MDPI, vol. 11(21), pages 1-25, October.
    7. Shi, Xunpeng & Wang, Keying & Cheong, Tsun Se & Zhang, Hongwu, 2020. "Prioritizing driving factors of household carbon emissions: An application of the LASSO model with survey data," Energy Economics, Elsevier, vol. 92(C).
    8. Zhang, Junjie & Yu, Biying & Wei, Yi-Ming, 2018. "Heterogeneous impacts of households on carbon dioxide emissions in Chinese provinces," Applied Energy, Elsevier, vol. 229(C), pages 236-252.
    9. Rui Huang & Shaohui Zhang & Changxin Liu, 2018. "Comparing Urban and Rural Household CO 2 Emissions—Case from China’s Four Megacities: Beijing, Tianjin, Shanghai, and Chongqing," Energies, MDPI, vol. 11(5), pages 1-17, May.
    10. Hongwu Zhang & Lequan Zhang & Keying Wang & Xunpeng Shi, 2019. "Unveiling Key Drivers of Indirect Carbon Emissions of Chinese Older Households," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    11. 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.
    12. Zhang, Hongwu & Shi, Xunpeng & Wang, Keying & Xue, Jinjun & Song, Ligang & Sun, Yongping, 2020. "Intertemporal lifestyle changes and carbon emissions: Evidence from a China household survey," Energy Economics, Elsevier, vol. 86(C).
    13. Daniel Moran & Richard Wood, 2014. "Convergence Between The Eora, Wiod, Exiobase, And Openeu'S Consumption-Based Carbon Accounts," Economic Systems Research, Taylor & Francis Journals, vol. 26(3), pages 245-261, September.
    14. Xinkuo Xu & Liyan Han, 2017. "Diverse Effects of Consumer Credit on Household Carbon Emissions at Quantiles: Evidence from Urban China," Sustainability, MDPI, vol. 9(9), pages 1-25, September.
    15. Lena Kilian & Anne Owen & Andy Newing & Diana Ivanova, 2022. "Exploring Transport Consumption-Based Emissions: Spatial Patterns, Social Factors, Well-Being, and Policy Implications," Sustainability, MDPI, vol. 14(19), pages 1-26, September.
    16. Tao Lin & Yunjun Yu & Xuemei Bai & Ling Feng & Jin Wang, 2013. "Greenhouse Gas Emissions Accounting of Urban Residential Consumption: A Household Survey Based Approach," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-12, February.
    17. Jordi Roca & Monica Serrano, 2008. "Embodied pollution in Spanish household consumption: a disaggregate analysis," Working Papers in Economics 204, Universitat de Barcelona. Espai de Recerca en Economia.
    18. Haitao Zheng & Qi Fang & Cheng Wang & Huiwen Wang & Ruoen Ren, 2017. "China’s Carbon Footprint Based on Input-Output Table Series: 1992–2020," Sustainability, MDPI, vol. 9(3), pages 1-17, March.
    19. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2019. "Interactions in Swiss households’ energy demand: A holistic approach," Energy Policy, Elsevier, vol. 128(C), pages 136-149.
    20. Tharinya Supasa & Shu-San Hsiau & Shih-Mo Lin & Wongkot Wongsapai & Jiunn-Chi Wu, 2017. "Household Energy Consumption Behaviour for Different Demographic Regions in Thailand from 2000 to 2010," Sustainability, MDPI, vol. 9(12), pages 1-22, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:247:y:2019:i:c:p:350-362. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.