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

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  • 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.

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  • 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
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    as
    1. 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.
    2. 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).
    3. Parikh, Jyoti & Panda, Manoj & Ganesh-Kumar, A. & Singh, Vinay, 2009. "CO2 emissions structure of Indian economy," Energy, Elsevier, vol. 34(8), pages 1024-1031.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
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