IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-02914-9.html
   My bibliography  Save this article

How aging impacts environmental sustainability—insights from the effects of social consumption and labor supply

Author

Listed:
  • Shuyu Li

    (Shandong University of Science and Technology)

  • Qiang Wang

    (China University of Petroleum (East China)
    Xinjiang University)

  • Rongrong Li

    (China University of Petroleum (East China)
    Xinjiang University)

Abstract

Population aging is discreetly reshaping the dynamics of social demand and labor supply, introducing potential turbulence to global carbon emissions. Understanding the impact of aging on carbon emissions is imperative for steering the next phase of sustainable development. This study, focusing on China, the world’s largest carbon emitter, delved into the intricacies of how population aging influences carbon emissions using a dynamic panel threshold model and a mediated effects model. Geographic heterogeneity within China was also considered. On the one hand, this study incorporated three consumer-side intermediation mechanisms: energy consumption, residential consumption and medical consumption. It was found that the positive driving effect of consumption-side variables on carbon emissions was characterized by an inverted “U”-shaped change in China’s highly aging regions, while an asymptotic upward trend of 7.65% was observed in regions with moderate and low aging. On the other hand, this study scrutinized three supply-side mediating mechanisms: industrial structure, R&D innovation and labor supply. The mechanism of supply-side variables on carbon emissions exhibited a shift from robustly positive driving to more nuanced weak positive driving or even negative inhibiting in highly aging regions, while inhibiting effects dominated in regions with moderate and low aging. This study offers a dual perspective encompassing both the production and consumption sides, which lays a foundation for exploring the internal mechanism of aging on carbon emission.

Suggested Citation

  • Shuyu Li & Qiang Wang & Rongrong Li, 2024. "How aging impacts environmental sustainability—insights from the effects of social consumption and labor supply," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02914-9
    DOI: 10.1057/s41599-024-02914-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-02914-9
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-024-02914-9?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. Caner, Mehmet & Hansen, Bruce E., 2004. "Instrumental Variable Estimation Of A Threshold Model," Econometric Theory, Cambridge University Press, vol. 20(5), pages 813-843, October.
    2. Gehringer, Agnieszka & Prettner, Klaus, 2019. "Longevity And Technological Change," Macroeconomic Dynamics, Cambridge University Press, vol. 23(4), pages 1471-1503, June.
    3. Francesco Lancia & Giovanni Prarolo, 2012. "A politico-economic model of aging, technology adoption and growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(3), pages 989-1018, July.
    4. Benjamin F. Jones, 2010. "Age and Great Invention," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 1-14, February.
    5. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    6. Mao, Rui & Xu, Jianwei, 2014. "Population aging, consumption budget allocation and sectoral growth," China Economic Review, Elsevier, vol. 30(C), pages 44-65.
    7. Song, Conghe & Bilsborrow, Richard & Jagger, Pamela & Zhang, Qi & Chen, Xiaodong & Huang, Qingfeng, 2018. "Rural Household Energy Use and Its Determinants in China: How Important Are Influences of Payment for Ecosystem Services vs. Other Factors?," Ecological Economics, Elsevier, vol. 145(C), pages 148-159.
    8. Daron Acemoglu, 2010. "When Does Labor Scarcity Encourage Innovation?," Journal of Political Economy, University of Chicago Press, vol. 118(6), pages 1037-1078.
    9. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    10. de Meijer, Claudine & Koopmanschap, Marc & d' Uva, Teresa Bago & van Doorslaer, Eddy, 2011. "Determinants of long-term care spending: Age, time to death or disability?," Journal of Health Economics, Elsevier, vol. 30(2), pages 425-438, March.
    11. Dorothée Charlier & Bérangère Legendre, 2021. "Carbon Dioxide Emissions and Aging: Disentangling Behavior from Energy Efficiency," Annals of Economics and Statistics, GENES, issue 143, pages 71-103.
    12. Andrew Mason & Ronald Lee & members of the NTA Network, 2022. "Six Ways Population Change Will Affect the Global Economy," Population and Development Review, The Population Council, Inc., vol. 48(1), pages 51-73, March.
    13. Zhan-Ming Chen & Stephanie Ohshita & Manfred Lenzen & Thomas Wiedmann & Magnus Jiborn & Bin Chen & Leo Lester & Dabo Guan & Jing Meng & Shiyun Xu & Guoqian Chen & Xinye Zheng & JinJun Xue & Ahmed Alsa, 2018. "Consumption-based greenhouse gas emissions accounting with capital stock change highlights dynamics of fast-developing countries," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    14. Yongqiang Zhang & Quanyao Dong & Guifang Ma, 2023. "Effects of Rural Population Aging on Agricultural Carbon Emissions in China," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    15. Menz, Tobias & Welsch, Heinz, 2012. "Population aging and carbon emissions in OECD countries: Accounting for life-cycle and cohort effects," Energy Economics, Elsevier, vol. 34(3), pages 842-849.
    16. 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).
    17. Chulin Pan & Huayi Wang & Hongpeng Guo & Hong Pan, 2021. "How Do the Population Structure Changes of China Affect Carbon Emissions? An Empirical Study Based on Ridge Regression Analysis," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    18. Soltani, Mohammad & Rahmani, Omeid & Ghasimi, Dara S.M. & Ghaderpour, Yousef & Pour, Amin Beiranvand & Misnan, Siti Hajar & Ngah, Ibrahim, 2020. "Impact of household demographic characteristics on energy conservation and carbon dioxide emission: Case from Mahabad city, Iran," Energy, Elsevier, vol. 194(C).
    19. Stephanie Kremer & Alexander Bick & Dieter Nautz, 2013. "Inflation and growth: new evidence from a dynamic panel threshold analysis," Empirical Economics, Springer, vol. 44(2), pages 861-878, April.
    20. Li, Rongrong & Wang, Qiang & Li, Lejia & Hu, Sailan, 2023. "Do natural resource rent and corruption governance reshape the environmental Kuznets curve for ecological footprint? Evidence from 158 countries," Resources Policy, Elsevier, vol. 85(PB).
    21. Bardazzi, Rossella & Pazienza, Maria Grazia, 2017. "Switch off the light, please! Energy use, aging population and consumption habits," Energy Economics, Elsevier, vol. 65(C), pages 161-171.
    22. 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.
    23. Wei, Taoyuan & Zhu, Qin & Glomsrød, Solveig, 2018. "How Will Demographic Characteristics of the Labor Force Matter for the Global Economy and Carbon Dioxide Emissions?," Ecological Economics, Elsevier, vol. 147(C), pages 197-207.
    24. Lee, Sokbae & Seo, Myung Hwan & Shin, Youngki, 2011. "Testing for Threshold Effects in Regression Models," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 220-231.
    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. Chung‐Hua Shen & Hsing‐Hua Hsu, 2022. "The determinants of Asian banking crises—Application of the panel threshold logit model," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 248-277, March.
    2. Miao, Ke & Su, Liangjun & Wang, Wendun, 2020. "Panel threshold regressions with latent group structures," Journal of Econometrics, Elsevier, vol. 214(2), pages 451-481.
    3. Chen, Chaoyi & Pinar, Mehmet & Stengos, Thanasis, 2021. "Determinants of renewable energy consumption: Importance of democratic institutions," Renewable Energy, Elsevier, vol. 179(C), pages 75-83.
    4. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    5. Mateev, Miroslav & Moudud-Ul-Huq, Syed & Sahyouni, Ahmad & Tariq, Muhammad Usman, 2022. "Capital regulation, competition and risk-taking: Policy implications for banking sector stability in the MENA region," Research in International Business and Finance, Elsevier, vol. 60(C).
    6. Sy-Hoa Ho & Jamel Saadaoui, 2022. "Bank credit and economic growth: A dynamic threshold panel model for ASEAN countries," International Economics, CEPII research center, issue 170, pages 115-128.
    7. Awoa, Paul Awoa & Efogo, Françoise Okah & Ondoa, Henri Atangana, 2023. "Oil dependence and entrepreneurship: Non-linear evidence," Economic Systems, Elsevier, vol. 47(1).
    8. Ridha Nouira & Mohamed Kouni, 2018. "Optimal Government Size and Economic Growth in Developing and MENA Countries: A Dynamic Panel Threshold Analysis," Working Papers 1256, Economic Research Forum, revised 15 Nov 2018.
    9. Gebauer, Stefan & Setzer, Ralph & Westphal, Andreas, 2017. "Corporate debt and investment: a firm analysis for stressed euro area countries," Working Paper Series 2101, European Central Bank.
    10. Miao, Ke & Li, Kunpeng & Su, Liangjun, 2020. "Panel threshold models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 219(1), pages 137-170.
    11. Witness Nyasha Bandura & Temitope L. A. Leshoro, 2022. "Inflation And Financial Development In Sub-Saharan Africa," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 67(233), pages 85-112, April – J.
    12. He, Ruifang & Zhong, Meirui & Huang, Jianbai, 2021. "Technological progress and metal resource consumption in the electricity industry—A cross-country panel threshold data analysis," Energy, Elsevier, vol. 231(C).
    13. Sy-Hoa Ho & Jamel Saadaoui, 2020. "Bank credit and short-run economic growth: a dynamic threshold panel model for ASEAN countries," Working Papers of BETA 2020-48, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    14. Lee, Chien-Chiang & Xing, Wenwu & Lee, Chi-Chuan, 2022. "The impact of energy security on income inequality: The key role of economic development," Energy, Elsevier, vol. 248(C).
    15. Zhou, Yang & Wang, Heng & Qiu, Huanguang, 2023. "Population aging reduces carbon emissions: Evidence from China's latest three censuses," Applied Energy, Elsevier, vol. 351(C).
    16. Osathanunkul, Rossarin & Dumrong, Pasinee & Yamaka, Woraphon & Maneejuk, Paravee, 2023. "The nonlinear impacts of aging labor and government health expenditures on productivity in ASEAN+3 economies," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 450-470.
    17. Dombi, Akos & Grigoriadis, Theocharis & Zhu, Junbing, 2020. "Antiquity and capitalism: The finance-growth perspective," Discussion Papers 2020/9, Free University Berlin, School of Business & Economics.
    18. 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).
    19. Qusai Mohammad Qasim Alabed & Fathin Faizah Said & Zulkefly Abdul Karim & Mohd Azlan Shah Zaidi & Mohammed Daher Alshammary, 2021. "Energy–Growth Nexus in the MENA Region: A Dynamic Panel Threshold Estimation," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    20. Zhu, Xiaoyang & Asimakopoulos, Stylianos & Kim, Jaebeom, 2020. "Financial development and innovation-led growth: Is too much finance better?," Journal of International Money and Finance, Elsevier, vol. 100(C).

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02914-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    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.