IDEAS home Printed from https://ideas.repec.org/a/eee/ecolec/v230y2025ics0921800925000175.html
   My bibliography  Save this article

Age structure impacts on household carbon emissions: Based on a social interaction perspective

Author

Listed:
  • Hu, Yaqi
  • Chen, Yingzi
  • Li, Yutong
  • Yang, Wanwan

Abstract

Households, causing over 2/3 of global emissions, are vital for carbon reduction. This paper focuses on the impact of household age structure and social interactions on carbon emissions. We use data from the 2018 China Family Panel Studies and employ a spatial lag model to estimate the impact of age structure and social interaction on household carbon emissions. Our findings reveal that household age structure has non-linear effect on carbon emissions, with an inverted U-shaped relationship. Furthermore, the neighborhood effect has a significant impact on carbon emissions, and social interaction tends to promote higher carbon emissions. We also uncover heterogeneity in the neighborhood effect of carbon emissions, as rural households experience a stronger neighborhood effect due to closer social relationships, while low-income households are more susceptible to the influence of neighbors than high-income households. Our most significant finding is that age structure and social interaction have synergistic effects on household carbon emissions. Specifically, Social interactions not only delay the inflection point in the relationship between age structure and household carbon emissions but also intensify the curvature of the inverted U-shaped relationship.

Suggested Citation

  • Hu, Yaqi & Chen, Yingzi & Li, Yutong & Yang, Wanwan, 2025. "Age structure impacts on household carbon emissions: Based on a social interaction perspective," Ecological Economics, Elsevier, vol. 230(C).
  • Handle: RePEc:eee:ecolec:v:230:y:2025:i:c:s0921800925000175
    DOI: 10.1016/j.ecolecon.2025.108534
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0921800925000175
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolecon.2025.108534?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. Belaïd, Fateh & Garcia, Thomas, 2016. "Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data," Energy Economics, Elsevier, vol. 57(C), pages 204-214.
    2. Ryu, Jun-Yeol & Kim, Dae-Wook & Kim, Man-Keun, 2021. "Household differentiation and residential electricity demand in Korea," Energy Economics, Elsevier, vol. 95(C).
    3. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    4. Scott Kelly, 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector," Working Papers EPRG 1117, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    5. Muller, Christophe & Yan, Huijie, 2018. "Household fuel use in developing countries: Review of theory and evidence," Energy Economics, Elsevier, vol. 70(C), pages 429-439.
    6. Rahut, Dil Bahadur & Behera, Bhagirath & Ali, Akhter, 2016. "Household energy choice and consumption intensity: Empirical evidence from Bhutan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 993-1009.
    7. Erzo F. P. Luttmer, 2005. "Neighbors as Negatives: Relative Earnings and Well-Being," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(3), pages 963-1002.
    8. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    9. Emmanuel Paroissien & Laure Latruffe & Laurent Piet, 2021. "Early exit from business, performance and neighbours’ influence: a study of farmers in France [Effects of differing farm policies on farm structure and dynamics]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(5), pages 1132-1161.
    10. Garau, Giorgio & Lecca, Patrizio & Mandras, Giovanni, 2013. "The impact of population ageing on energy use: Evidence from Italy," Economic Modelling, Elsevier, vol. 35(C), pages 970-980.
    11. Kevin Anderson & Alice Bows, 2012. "A new paradigm for climate change," Nature Climate Change, Nature, vol. 2(9), pages 639-640, September.
    12. Damette, Olivier & Delacote, Philippe & Lo, Gaye Del, 2018. "Households energy consumption and transition toward cleaner energy sources," Energy Policy, Elsevier, vol. 113(C), pages 751-764.
    13. Emmanuel Paroissien & Laure Latruffe & Laurent Piet, 2021. "Corrigendum: Early exit from business, performance and neighbours’ influence: a study of farmers in France," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(5), pages 1249-1250.
    14. Zhang, Yimeng & Wang, Feng & Zhang, Bing, 2023. "The impacts of household structure transitions on household carbon emissions in China," Ecological Economics, Elsevier, vol. 206(C).
    15. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "The impact of household consumption on energy use and CO2 emissions in China," Energy, Elsevier, vol. 36(1), pages 656-670.
    16. Giacomo De Giorgi & Anders Frederiksen & Luigi Pistaferri, 2020. "Consumption Network Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(1), pages 130-163.
    17. Sarah Harper, 2013. "Population–Environment Interactions: European Migration, Population Composition and Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(4), pages 525-541, August.
    18. Kelly, Scott, 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector," Energy, Elsevier, vol. 36(9), pages 5610-5620.
    19. Reid Ewing & Fang Rong, 2008. "The impact of urban form on U.S. residential energy use," Housing Policy Debate, Taylor & Francis Journals, vol. 19(1), pages 1-30, January.
    20. Özcan, Kıvılcım Metin & Gülay, Emrah & Üçdoğruk, Şenay, 2013. "Economic and demographic determinants of household energy use in Turkey," Energy Policy, Elsevier, vol. 60(C), pages 550-557.
    21. 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.
    22. Fremstad, Anders & Underwood, Anthony & Zahran, Sammy, 2018. "The Environmental Impact of Sharing: Household and Urban Economies in CO2 Emissions," Ecological Economics, Elsevier, vol. 145(C), pages 137-147.
    23. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    24. 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.
    25. Baul, T.K. & Datta, D. & Alam, A., 2018. "A comparative study on household level energy consumption and related emissions from renewable (biomass) and non-renewable energy sources in Bangladesh," Energy Policy, Elsevier, vol. 114(C), pages 598-608.
    26. Lee, Lisa Yu-Ting, 2013. "Household energy mix in Uganda," Energy Economics, Elsevier, vol. 39(C), pages 252-261.
    27. Kimberly S. Wolske & Kenneth T. Gillingham & P. Wesley Schultz, 2020. "Peer influence on household energy behaviours," Nature Energy, Nature, vol. 5(3), pages 202-212, March.
    28. Abrahamse, Wokje & Steg, Linda, 2009. "How do socio-demographic and psychological factors relate to households' direct and indirect energy use and savings?," Journal of Economic Psychology, Elsevier, vol. 30(5), pages 711-720, October.
    29. Longhi, Simonetta, 2015. "Residential energy expenditures and the relevance of changes in household circumstances," Energy Economics, Elsevier, vol. 49(C), pages 440-450.
    30. Démurger, Sylvie & Fournier, Martin, 2011. "Poverty and firewood consumption: A case study of rural households in northern China," China Economic Review, Elsevier, vol. 22(4), pages 512-523.
    31. O'Shaughnessy, Eric & Grayson, Alexandra & Barbose, Galen, 2023. "The role of peer influence in rooftop solar adoption inequity in the United States," Energy Economics, Elsevier, vol. 127(PA).
    32. Kaza, Nikhil, 2010. "Understanding the spectrum of residential energy consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 38(11), pages 6574-6585, November.
    33. Lévay, Petra Zsuzsa & Goedemé, Tim & Verbist, Gerlinde, 2023. "Income and expenditure elasticity of household carbon footprints. Some methodological considerations," Ecological Economics, Elsevier, vol. 212(C).
    34. Wei, Yi-Ming & Liu, Lan-Cui & Fan, Ying & Wu, Gang, 2007. "The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents," Energy Policy, Elsevier, vol. 35(1), pages 247-257, January.
    35. Liddle, Brantley & Lung, Sidney, 2010. "Age-Structure, Urbanization, and Climate Change in Developed Countries: Revisiting STIRPAT for Disaggregated Population and Consumption-Related Environmental Impacts," MPRA Paper 59579, University Library of Munich, Germany.
    36. Fan, Jianshuang & Zhou, Lin & Zhang, Yan & Shao, Shuai & Ma, Miao, 2021. "How does population aging affect household carbon emissions? Evidence from Chinese urban and rural areas," Energy Economics, Elsevier, vol. 100(C).
    37. Mills, Bradford & Schleich, Joachim, 2012. "Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: An analysis of European countries," Energy Policy, Elsevier, vol. 49(C), pages 616-628.
    38. Lee, Lung-fei, 2007. "Identification and estimation of econometric models with group interactions, contextual factors and fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 333-374, October.
    39. Seong-Hoon Cho & Moonwon Soh & Kihyun Park & Hyun Jae Kim, 2022. "Impact of the rise of solo living and an ageing population on residential energy consumption in South Korea," Energy & Environment, , vol. 33(2), pages 399-416, March.
    40. Xiaofeng Lv & Kun Lin & Lingshan Chen & Yongzhong Zhang, 2022. "Does Retirement Affect Household Energy Consumption Structure? Evidence from a Regression Discontinuity Design," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    41. 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.
    42. Tian, Xu & Geng, Yong & Dai, Hancheng & Fujita, Tsuyoshi & Wu, Rui & Liu, Zhe & Masui, Toshihiko & Yang, Xie, 2016. "The effects of household consumption pattern on regional development: A case study of Shanghai," Energy, Elsevier, vol. 103(C), pages 49-60.
    43. Mark Grinblatt & Matti Keloharju & Seppo Ikäheimo, 2008. "Social Influence and Consumption: Evidence from the Automobile Purchases of Neighbors," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 735-753, November.
    44. Emilio Zagheni, 2011. "The Leverage of Demographic Dynamics on Carbon Dioxide Emissions: Does Age Structure Matter?," Demography, Springer;Population Association of America (PAA), vol. 48(1), pages 371-399, February.
    45. Brounen, Dirk & Kok, Nils & Quigley, John M., 2012. "Residential energy use and conservation: Economics and demographics," European Economic Review, Elsevier, vol. 56(5), pages 931-945.
    46. Masera, Omar R. & Saatkamp, Barbara D. & Kammen, Daniel M., 2000. "From Linear Fuel Switching to Multiple Cooking Strategies: A Critique and Alternative to the Energy Ladder Model," World Development, Elsevier, vol. 28(12), pages 2083-2103, December.
    47. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    48. Pettifor, H. & Wilson, C. & Axsen, J. & Abrahamse, W. & Anable, J., 2017. "Social influence in the global diffusion of alternative fuel vehicles – A meta-analysis," Journal of Transport Geography, Elsevier, vol. 62(C), pages 247-261.
    49. 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.
    50. Ironmonger, D S & Aitken, C K & Erbas, B, 1995. "Economies of scale in energy use in adult-only households," Energy Economics, Elsevier, vol. 17(4), pages 301-310, October.
    51. Mingming Pan & Brian Chi-ang Lin, 2020. "An econometric analysis of Hispanic migration in the United States," Applied Economics, Taylor & Francis Journals, vol. 52(57), pages 6183-6198, December.
    52. Acharya, Bikram & Marhold, Klaus, 2019. "Determinants of household energy use and fuel switching behavior in Nepal," Energy, Elsevier, vol. 169(C), pages 1132-1138.
    53. Lung-fei Lee & Xiaodong Liu & Xu Lin, 2010. "Specification and estimation of social interaction models with network structures," Econometrics Journal, Royal Economic Society, vol. 13(2), pages 145-176, July.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Jakučionytė-Skodienė, Miglė & Liobikienė, Genovaitė, 2023. "Changes in energy consumption and CO2 emissions in the Lithuanian household sector caused by environmental awareness and climate change policy," Energy Policy, Elsevier, vol. 180(C).
    3. Belaïd, Fateh, 2017. "Untangling the complexity of the direct and indirect determinants of the residential energy consumption in France: Quantitative analysis using a structural equation modeling approach," Energy Policy, Elsevier, vol. 110(C), pages 246-256.
    4. Estiri, Hossein, 2015. "The indirect role of households in shaping US residential energy demand patterns," Energy Policy, Elsevier, vol. 86(C), pages 585-594.
    5. Estiri, Hossein, 2014. "Building and household X-factors and energy consumption at the residential sector," Energy Economics, Elsevier, vol. 43(C), pages 178-184.
    6. Estiri, Hossein & Zagheni, Emilio, 2018. "Evaluating the Age-Energy Consumption Profile in Residential Buildings," SocArXiv yqkva, Center for Open Science.
    7. Bonan, Jacopo & Battiston, Pietro & Bleck, Jaimie & LeMay-Boucher, Philippe & Pareglio, Stefano & Sarr, Bassirou & Tavoni, Massimo, 2021. "Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali," World Development, Elsevier, vol. 144(C).
    8. Kettani, Maryème & Sanin, Maria Eugenia, 2024. "Energy consumption and energy poverty in Morocco," Energy Policy, Elsevier, vol. 185(C).
    9. Chen, Guangwu & Zhu, Yuhan & Wiedmann, Thomas & Yao, Lina & Xu, Lixiao & Wang, Yafei, 2019. "Urban-rural disparities of household energy requirements and influence factors in China: Classification tree models," Applied Energy, Elsevier, vol. 250(C), pages 1321-1335.
    10. Arthur Lewbel & Samuel Norris & Krishna Pendakur & Xi Qu, 2022. "Consumption peer effects and utility needs in India," Quantitative Economics, Econometric Society, vol. 13(3), pages 1257-1295, July.
    11. Muller, Christophe & Yan, Huijie, 2018. "Household fuel use in developing countries: Review of theory and evidence," Energy Economics, Elsevier, vol. 70(C), pages 429-439.
    12. Srinivasan, Suchita & Carattini, Stefano, 2020. "Adding fuel to fire? Social spillovers in the adoption of LPG in India," Ecological Economics, Elsevier, vol. 167(C).
    13. Topa, Giorgio & Zenou, Yves, 2015. "Neighborhood and Network Effects," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 561-624, Elsevier.
    14. Ramachandra, T.V. & Bajpai, Vishnu & Kulkarni, Gouri & Aithal, Bharath H. & Han, Sun Sheng, 2017. "Economic disparity and CO2 emissions: The domestic energy sector in Greater Bangalore, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1331-1344.
    15. Gholipour, Hassan F. & Arjomandi, Amir & Yam, Sharon, 2022. "Green property finance and CO2 emissions in the building industry," Global Finance Journal, Elsevier, vol. 51(C).
    16. Wang, Yuanping & Hou, Lingchun & Cai, Weiguang & Zhou, Zhaoyin & Bian, Jing, 2023. "Exploring the drivers and influencing mechanisms of urban household electricity consumption in China - Based on longitudinal data at the provincial level," Energy, Elsevier, vol. 273(C).
    17. Yarbaşı, İkram Yusuf & Çelik, Ali Kemal, 2023. "The determinants of household electricity demand in Turkey: An implementation of the Heckman Sample Selection model," Energy, Elsevier, vol. 283(C).
    18. 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.
    19. Jingbo Fan & Aobo Ran & Xiaomeng Li, 2019. "A Study on the Factors Affecting China’s Direct Household Carbon Emission and Comparison of Regional Differences," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    20. Roychowdhury, Punarjit, 2019. "Peer effects in consumption in India: An instrumental variables approach using negative idiosyncratic shocks," World Development, Elsevier, vol. 114(C), pages 122-137.

    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:ecolec:v:230:y:2025:i:c:s0921800925000175. 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/ecolecon .

    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.