IDEAS home Printed from https://ideas.repec.org/a/eee/streco/v60y2022icp114-125.html
   My bibliography  Save this article

Analysis of China's urban household indirect carbon emissions drivers under the background of population aging

Author

Listed:
  • Yu, Miao
  • Meng, Bo
  • Li, Rong

Abstract

Population aging is an important concern not only in China but also to many developed countries, and it will be a more serious issue throughout the world in the future. From this point, understanding the impact of population aging on CO2 emissions is important for achieving carbon neutral in the future. To analyze this impact, this study quantifies lifestyle and urban household's consumption impacts upon carbon emissions from the indirect CO2 emissions aspect and uses the structural decomposition method to analyze the factors influencing the growth of indirect CO2 emissions from 2007 to 2012. The analysis results indicate that the indirect CO2 emissions peak at 20 s age group and gradually decline as age increases. Since elderly households have relatively lower indirect CO2 emissions, population aging in the future will reduce indirect CO2 emissions. The decomposition analysis for indirect CO2 emissions shows that the effects of changes in consumption pattern and production technology progress reduced indirect CO2 emissions to a large extent. The main factors leading to the increase in indirect CO2 emissions are the increase in the number of households and consumption volume. The corresponding policy implications are proposed based on our findings: improving energy efficiency in older households, promoting energy conservation promotion among younger households, and cultivating consumers’ green-consumption awareness.

Suggested Citation

  • Yu, Miao & Meng, Bo & Li, Rong, 2022. "Analysis of China's urban household indirect carbon emissions drivers under the background of population aging," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 114-125.
  • Handle: RePEc:eee:streco:v:60:y:2022:i:c:p:114-125
    DOI: 10.1016/j.strueco.2021.11.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0954349X21001594
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.strueco.2021.11.013?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. Dalton, Michael & O'Neill, Brian & Prskawetz, Alexia & Jiang, Leiwen & Pitkin, John, 2008. "Population aging and future carbon emissions in the United States," Energy Economics, Elsevier, vol. 30(2), pages 642-675, March.
    2. Liyun Chen & Qi Duan, 2016. "Decomposition analysis of factors driving CO2 emissions in Chinese provinces based on production-theoretical decomposition analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 267-277, November.
    3. Bo Meng & Yaxiong Zhang & Satoshi Inomata, 2013. "Compilation And Applications Of Ide-Jetro'S International Input-Output Tables," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 122-142, March.
    4. Cabeza, Luisa F. & Ürge-Vorsatz, Diana & Palacios, Anabel & Ürge, Daniel & Serrano, Susana & Barreneche, Camila, 2018. "Trends in penetration and ownership of household appliances," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4044-4059.
    5. Bin, Shui & Dowlatabadi, Hadi, 2005. "Corrigendum to "Consumer lifestyles approach to US energy use and the related CO2 emissions": [Energy Policy 33 (2005) 197-208]," Energy Policy, Elsevier, vol. 33(10), pages 1362-1363, July.
    6. Ge, Suqin & Yang, Dennis Tao & Zhang, Junsen, 2018. "Population policies, demographic structural changes, and the Chinese household saving puzzle," European Economic Review, Elsevier, vol. 101(C), pages 181-209.
    7. Rui Mao & Jianwei Xu, 2014. "Consumption Structure Evolutions in an Aging Society and Implications for the Social Security System," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 10(2), pages 349-370, August.
    8. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2019. "Modelling dynamic impacts of urbanization on disaggregated energy consumption in China: A spatial Durbin modelling and decomposition approach," Energy Policy, Elsevier, vol. 133(C).
    9. Bin, Shui & Dowlatabadi, Hadi, 2005. "Consumer lifestyle approach to US energy use and the related CO2 emissions," Energy Policy, Elsevier, vol. 33(2), pages 197-208, January.
    10. Su, Bin & Ang, B.W. & Low, Melissa, 2013. "Input–output analysis of CO2 emissions embodied in trade and the driving forces: Processing and normal exports," Ecological Economics, Elsevier, vol. 88(C), pages 119-125.
    11. 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.
    12. Zhou, Dequn & Zhou, Xiaoyong & Xu, Qing & Wu, Fei & Wang, Qunwei & Zha, Donglan, 2018. "Regional embodied carbon emissions and their transfer characteristics in China," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 180-193.
    13. Parikh, Jyoti & Panda, Manoj & Ganesh-Kumar, A. & Singh, Vinay, 2009. "CO2 emissions structure of Indian economy," Energy, Elsevier, vol. 34(8), pages 1024-1031.
    14. Sang-Hyop Lee & Naohiro Ogawa, 2011. "Labor income over the lifecylce: an international comparison," Chapters, in: Ronald Lee & Andrew Mason (ed.), Population Aging and the Generational Economy, chapter 5, Edward Elgar Publishing.
    15. Zhifu Mi & Jing Meng & Dabo Guan & Yuli Shan & Malin Song & Yi-Ming Wei & Zhu Liu & Klaus Hubacek, 2017. "Chinese CO2 emission flows have reversed since the global financial crisis," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    16. Yu, Miao & Zhao, Xintong & Gao, Yuning, 2019. "Factor decomposition of China’s industrial electricity consumption using structural decomposition analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 67-76.
    17. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    18. Kronenberg, Tobias, 2009. "The impact of demographic change on energy use and greenhouse gas emissions in Germany," Ecological Economics, Elsevier, vol. 68(10), pages 2637-2645, August.
    19. Ouyang, Xiaoling & Lin, Boqiang, 2015. "An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 838-849.
    20. Cabeza, Luisa F. & Ürge-Vorsatz, Diana & Ürge, Daniel & Palacios, Anabel & Barreneche, Camila, 2018. "Household appliances penetration and ownership trends in residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 1-8.
    21. An-Chi Tung, 2011. "Consumption over the lifecycle: an international comparison," Chapters, in: Ronald Lee & Andrew Mason (ed.), Population Aging and the Generational Economy, chapter 6, Edward Elgar Publishing.
    22. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    23. Kamrul Hassan & Ruhul Salim, 2015. "Population ageing, income growth and CO2emission," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 42(1), pages 54-67, January.
    24. 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.
    25. Jianchang Lu & Weiguo Fan & Ming Meng, 2015. "Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors," Energies, MDPI, vol. 8(4), pages 1-25, April.
    26. 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. Zheng, Shiyong & Irfan, Muhammad & Ai, Fengyi & Al-Faryan, Mamdouh Abdulaziz Saleh, 2023. "Do renewable energy, urbanisation, and natural resources enhance environmental quality in China? Evidence from novel bootstrap Fourier Granger causality in quantiles," Resources Policy, Elsevier, vol. 81(C).
    2. Yi, Zhang & Zhou, Wenwu & Razzaq, Asif & Yang, Yao, 2023. "Land resource management and sustainable development: Evidence from China's regional data," Resources Policy, Elsevier, vol. 84(C).
    3. Wenqun Gao & Yang Chen & Shaorui Xu & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "The Role of Population Aging in High-Quality Economic Development: Mediating Role of Technological Innovation," SAGE Open, , vol. 13(4), pages 21582440231, October.
    4. Lili Guo & Yuting Song & Shuang Zhao & Mengqian Tang & Yangli Guo & Mengying Su & Houjian Li, 2022. "Dynamic Linkage between Aging, Mechanizations and Carbon Emissions from Agricultural Production," IJERPH, MDPI, vol. 19(10), pages 1-22, May.
    5. 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.
    6. Wang, Yizhong & Hang, Ye & Jeong, Sujong & Wang, Qunwei, 2023. "Intersectoral transfers and drivers of net CO2 emissions in China incorporating sources and sinks," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

    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. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
    2. Meng, Bo & Wang, Jianguo & Andrew, Robbie & Xiao, Hao & Xue, Jinjun & Peters, Glen P., 2017. "Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010," Energy Economics, Elsevier, vol. 63(C), pages 161-173.
    3. Zhang, Junyi & Teng, Fei & Zhou, Shaojie, 2020. "The structural changes and determinants of household energy choices and energy consumption in urban China: Addressing the role of building type," Energy Policy, Elsevier, vol. 139(C).
    4. Das, Aparna & Paul, Saikat Kumar, 2014. "CO2 emissions from household consumption in India between 1993–94 and 2006–07: A decomposition analysis," Energy Economics, Elsevier, vol. 41(C), pages 90-105.
    5. Zhu, Bangzhu & Su, Bin & Li, Yingzhu, 2018. "Input-output and structural decomposition analysis of India’s carbon emissions and intensity, 2007/08 – 2013/14," Applied Energy, Elsevier, vol. 230(C), pages 1545-1556.
    6. Boya Zhang & Shukuan Bai & Yadong Ning & Tao Ding & Yan Zhang, 2020. "Emission Embodied in International Trade and Its Responsibility from the Perspective of Global Value Chain: Progress, Trends, and Challenges," Sustainability, MDPI, vol. 12(8), pages 1-26, April.
    7. Changjian Wang & Fei Wang, 2015. "Structural Decomposition Analysis of Carbon Emissions and Policy Recommendations for Energy Sustainability in Xinjiang," Sustainability, MDPI, vol. 7(6), pages 1-20, June.
    8. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    9. Mingxiang Deng & Wei Li & Yan Hu, 2016. "Decomposing Industrial Energy-Related CO 2 Emissions in Yunnan Province, China: Switching to Low-Carbon Economic Growth," Energies, MDPI, vol. 9(1), pages 1-19, January.
    10. Yan, Junna & Zhao, Tao & Kang, Jidong, 2016. "Sensitivity analysis of technology and supply change for CO2 emission intensity of energy-intensive industries based on input–output model," Applied Energy, Elsevier, vol. 171(C), pages 456-467.
    11. Zhang, Ming & Song, Yan & Li, Peng & Li, Huanan, 2016. "Study on affecting factors of residential energy consumption in urban and rural Jiangsu," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 330-337.
    12. Das, Aparna & Paul, Saikat Kumar, 2013. "Changes in energy requirements of the residential sector in India between 1993–94 and 2006–07," Energy Policy, Elsevier, vol. 53(C), pages 27-40.
    13. 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.
    14. 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.
    15. Yong Yang & Junsong Jia & Adam T. Devlin & Yangming Zhou & Dongming Xie & Min Ju, 2020. "Decoupling and Decomposition Analysis of Residential Energy Consumption from Economic Growth during 2000–2017: A Comparative Study of Urban and Rural Guangdong, China," Energies, MDPI, vol. 13(17), pages 1-21, August.
    16. Jingjing Chen & Yangyang Lin & Xiaojun Wang & Bingjing Mao & Lihong Peng, 2022. "Direct and Indirect Carbon Emission from Household Consumption Based on LMDI and SDA Model: A Decomposition and Comparison Analysis," Energies, MDPI, vol. 15(14), pages 1-22, July.
    17. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    18. Ying Long & Jiahao Feng & Aolong Sun & Rui Wang & Yafei Wang, 2023. "Structural Characteristics of the Household Carbon Footprint in an Aging Society," Sustainability, MDPI, vol. 15(17), pages 1-18, August.
    19. 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.
    20. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).

    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:streco:v:60:y:2022:i:c:p:114-125. 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/locate/inca/525148 .

    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.