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Assessing the nonlinear impact of population aging on energy footprint: From the perspective of labor productivity and high‐quality economic development

Author

Listed:
  • Xiyue Yang
  • Shixiong Cheng
  • Mahmood Ahmad

Abstract

Amidst the ongoing low‐carbon transition, the phenomenon of population aging is receiving increasing attention. Nevertheless, the relationship between population aging and environmental quality has not been conclusively established, and existing studies have yet to delve into the mechanism of the effect of population aging on energy and environmental quality. This paper utilizes the panel data of 30 Chinese provinces and regions from 2000 to 2019 and constructs the benchmark model, the nonlinear mediating effect, and the nonlinear moderating effect models to explore the nonlinear association between population aging and energy footprint, respectively. Additionally, we develop a comprehensive aging index employing principal component analysis (PCA) and measure the energy footprint by carbon sink approach. The results show that population aging has a nonlinear effect on the energy footprint with an inverted “U” shape and there is an inflection point on the curve of value 0.453. We also verify that population aging indirectly affects the energy footprint through its nonlinear impact on labor productivity, with an instantaneous mediating effect of 3.0902. Furthermore, the high‐quality economic development has a nonlinear moderating impact on the inverted “U”‐shape between population aging and energy footprint. As the level of high‐quality economic development increases, the shape of the inverted “U” curve flattens out, and the inflection point shifts to the left. Among the five sub‐indicators of high‐quality economic development, green development has the most significant effect on the inverted “U” curve of population aging and energy footprint. These noteworthy findings offer valuable insights for formulating effective strategies to enhance the favorable effects of aging on environmental quality from multifaceted perspectives.

Suggested Citation

  • Xiyue Yang & Shixiong Cheng & Mahmood Ahmad, 2025. "Assessing the nonlinear impact of population aging on energy footprint: From the perspective of labor productivity and high‐quality economic development," Natural Resources Forum, Blackwell Publishing, vol. 49(4), pages 3319-3353, November.
  • Handle: RePEc:wly:natres:v:49:y:2025:i:4:p:3319-3353
    DOI: 10.1111/1477-8947.12531
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    as
    1. Chen Bai & Xiaoyan Lei, 2020. "New trends in population aging and challenges for China’s sustainable development," China Economic Journal, Taylor & Francis Journals, vol. 13(1), pages 3-23, January.
    2. 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).
    3. Wei, Rui & Zhang, Wencheng & Peng, Shuijun, 2022. "Energy and greenhouse gas footprints of China households during 1995–2019: A global perspective," Energy Policy, Elsevier, vol. 164(C).
    4. Brantley Liddle, 2011. "Consumption-Driven Environmental Impact and Age Structure Change in OECD Countries," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 24(30), pages 749-770.
    5. 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.
    6. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    7. 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).
    8. Zhang, Ning & Yu, Keren & Chen, Zhongfei, 2017. "How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis," Energy Policy, Elsevier, vol. 107(C), pages 678-687.
    9. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    10. Wang, Zhibao & Wei, Lijie & Zhang, Xiaoping & Qi, Guangzhi, 2023. "Impact of demographic age structure on energy consumption structure: Evidence from population aging in mainland China," Energy, Elsevier, vol. 273(C).
    11. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    12. Hans-Werner Sinn, 2008. "Public policies against global warming: a supply side approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 15(4), pages 360-394, August.
    13. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    14. Wackernagel, Mathis & Onisto, Larry & Bello, Patricia & Callejas Linares, Alejandro & Susana Lopez Falfan, Ina & Mendez Garcia, Jesus & Isabel Suarez Guerrero, Ana & Guadalupe Suarez Guerrero, Ma., 1999. "National natural capital accounting with the ecological footprint concept," Ecological Economics, Elsevier, vol. 29(3), pages 375-390, June.
    15. 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.
    16. Balsalobre, Daniel & Sinha, Avik & Driha, Oana M. & Shujaat Mubarik, Muhammad, 2021. "Assessing the Impacts of Ageing and Natural Resource Extraction on Carbon Emissions: A proposed Policy Framework for European Economies," MPRA Paper 108159, University Library of Munich, Germany, revised 2021.
    17. Pascual-Saez, Marta & Cantarero-Prieto, David & Pires Manso, José R., 2020. "Does population ageing affect savings in Europe?," Journal of Policy Modeling, Elsevier, vol. 42(2), pages 291-306.
    18. Heran Zheng & Yin Long & Richard Wood & Daniel Moran & Zengkai Zhang & Jing Meng & Kuishuang Feng & Edgar Hertwich & Dabo Guan, 2022. "Ageing society in developed countries challenges carbon mitigation," Nature Climate Change, Nature, vol. 12(3), pages 241-248, March.
    19. Guo, Jie & Sun, Zixu, 2023. "How does manufacturing agglomeration affect high-quality economic development in China?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 673-691.
    20. Thomas Rapp & Jérôme Ronchetti & Jonathan Sicsic, 2022. "Where are Populations Aging Better? A Global Comparison of Healthy Aging Across Organization for Economic Cooperation and Development Countries," Post-Print hal-03694293, HAL.
    21. 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.
    22. Bai, Ling & Guo, Tianran & Xu, Wei & Liu, Yaobin & Kuang, Ming & Jiang, Lei, 2023. "Effects of digital economy on carbon emission intensity in Chinese cities: A life-cycle theory and the application of non-linear spatial panel smooth transition threshold model," Energy Policy, Elsevier, vol. 183(C).
    23. Misbah Aslam & Eatzaz Ahmad, 2018. "Impact of Ageing and Generational Effects on Household Energy Consumption Behavior: Evidence from Pakistan," Energies, MDPI, vol. 11(8), pages 1-20, August.
    24. Mahmood Ahmad & Zahoor Ahmed & Chunyang Luo, 2024. "Natural resources, economic globalization, and sustainable development: Can economic complexity and environmental regulations cure the resource curse?," Natural Resources Forum, Blackwell Publishing, vol. 48(4), pages 1417-1435, November.
    25. 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.
    26. Hanif, Imran & Faraz Raza, Syed Muhammad & Gago-de-Santos, Pilar & Abbas, Qaiser, 2019. "Fossil fuels, foreign direct investment, and economic growth have triggered CO2 emissions in emerging Asian economies: Some empirical evidence," Energy, Elsevier, vol. 171(C), pages 493-501.
    27. Jo Thori Lind & Halvor Mehlum, 2010. "With or Without U? The Appropriate Test for a U‐Shaped Relationship," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 109-118, February.
    28. Taoyuan Wei & Qin Zhu & Solveig Glomsrød, 2017. "A General Equilibrium View of Population Ageing Impact on Energy Use via Labor Supply," Sustainability, MDPI, vol. 9(9), pages 1-12, August.
    29. Zhang, Yu & Zhang, Sufang, 2018. "The impacts of GDP, trade structure, exchange rate and FDI inflows on China's carbon emissions," Energy Policy, Elsevier, vol. 120(C), pages 347-353.
    30. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    31. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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