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Does population aging aggravate air pollution in China?

Author

Listed:
  • Donglan Zha

    (Nanjing University of Aeronautics and Astronautics
    Nanjing University of Aeronautics and Astronautics)

  • Pan Liu

    (Nanjing University of Aeronautics and Astronautics
    Nanjing University of Aeronautics and Astronautics)

  • Hui Shi

    (Nanjing University of Aeronautics and Astronautics
    Nanjing University of Aeronautics and Astronautics)

Abstract

China is experiencing rapid population aging and environmental pollution problems. There is a strong body of evidence supporting the notion that population aging may increase energy demand and aggravate related emissions. In this paper, we construct an extended KAYA model with aging variables. Drawing on panel data of 82 cities in China from 2014 to 2017, we aim to investigate whether population aging affects air pollution. Our estimates show that population aging has a significant negative impact on air quality, whereby a 1% change in the proportion of the resident population aged 65 years or above is associated with a 0.121% change in Air Quality Index in the same direction. The implication is that the increase in population aging aggravates air pollution in China in our study periods. By introducing a mediation effect, we further analyze the possible pathways of population aging with regard to air quality. The results show that population aging aggravates air pollution by increasing fossil fuel consumption and increasing the consumption of medical products. Promoting the development of energy-efficient products and services related to elderly people’s consumption may be necessary to mitigate the environmental impact of population aging in China.

Suggested Citation

  • Donglan Zha & Pan Liu & Hui Shi, 2022. "Does population aging aggravate air pollution in China?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(2), pages 1-14, February.
    • Handle: RePEc:spr:masfgc:v:27:y:2022:i:2:d:10.1007_s11027-021-09993-y
    DOI: 10.1007/s11027-021-09993-y
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    References listed on IDEAS

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    1. Loi, Tian Sheng Allan & Loo, Soh Leng, 2016. "The impact of Singapore’s residential electricity conservation efforts and the way forward. Insights from the bounds testing approach," Energy Policy, Elsevier, vol. 98(C), pages 735-743.
    2. Hamza, Neveen & Gilroy, Rose, 2011. "The challenge to UK energy policy: An ageing population perspective on energy saving measures and consumption," Energy Policy, Elsevier, vol. 39(2), pages 782-789, February.
    3. Wang, Shaojian & Li, Guangdong & Fang, Chuanglin, 2018. "Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2144-2159.
    4. Zhou, Yang & Liu, Yansui, 2016. "Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China," Applied Energy, Elsevier, vol. 180(C), pages 800-809.
    5. Zhang, Chuanguo & Tan, Zheng, 2016. "The relationships between population factors and China's carbon emissions: Does population aging matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1018-1025.
    6. Andor, Mark A. & Schmidt, Christoph M. & Sommer, Stephan, 2018. "Climate Change, Population Ageing and Public Spending: Evidence on Individual Preferences," Ecological Economics, Elsevier, vol. 151(C), pages 173-183.
    7. 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.
    8. Bruce Tonn & Greg Waidley & Carl Petrich, 2001. "The Ageing US Population and Environmental Policy," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 44(6), pages 851-876.
    9. Li, Kunming & Fang, Liting & He, Lerong, 2019. "How population and energy price affect China's environmental pollution?," Energy Policy, Elsevier, vol. 129(C), pages 386-396.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Poumanyvong, Phetkeo & Kaneko, Shinji, 2010. "Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis," Ecological Economics, Elsevier, vol. 70(2), pages 434-444, December.
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