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Exploring the Dependence and Influencing Factors of Carbon Emissions from the Perspective of Population Development

Author

Listed:
  • Kuokuo Zhao

    (School of Management, Guangzhou University, Guangzhou 510006, China)

  • Xuezhu Cui

    (School of Management, Guangzhou University, Guangzhou 510006, China)

  • Zhanhang Zhou

    (School of Economics and Management, Tianjin Chengjian University, Tianjin 300384, China)

  • Peixuan Huang

    (School of Management, Guangzhou University, Guangzhou 510006, China)

  • Dongliang Li

    (School of Economics and Management, Tianjin Chengjian University, Tianjin 300384, China)

Abstract

Working towards sustainable population development is an important part of carbon mitigation efforts, and decoupling carbon emissions from population development has great significance for carbon mitigation. Based on the construction of a comprehensive population development index (PDI), this study adopts a decoupling model to explore the dependence between carbon emissions and PDI across 30 Chinese provinces from 2001 to 2017. Then, the stochastic impacts by regression on population, affluence and technology (STIRPAT) model is used to investigate the impact of population factors on carbon emissions. The results show that the decoupling relationship between carbon emissions and PDI has experienced a transformation from expansive negative coupling to expansive coupling and then to weak decoupling at the national level, while some provinces have experienced the same evolutionary process, but the decoupling state in most provinces is not ideal. Sending talent to western provinces and developing low-carbon supporting industries will accelerate carbon decoupling. At the national level, incorporating environmental protection into the existing education system as part of classroom teaching could contribute to carbon decoupling.

Suggested Citation

  • Kuokuo Zhao & Xuezhu Cui & Zhanhang Zhou & Peixuan Huang & Dongliang Li, 2021. "Exploring the Dependence and Influencing Factors of Carbon Emissions from the Perspective of Population Development," IJERPH, MDPI, vol. 18(21), pages 1-20, October.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11024-:d:660634
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    as
    1. Ieva Meidutė-Kavaliauskienė & Gitana Dudzevičiūtė & Nijolė Maknickienė & Aidas Vasilis Vasiliauskas, 2020. "The relation between aging of population and sustainable development of EU countries," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(3), pages 2026-2042, March.
    2. Eric A. Hanushek & Ludger Woessmann, 2008. "The Role of Cognitive Skills in Economic Development," Journal of Economic Literature, American Economic Association, vol. 46(3), pages 607-668, September.
    3. Richard Brinkman & June Brinkman, 2011. "GDP as a Measure of Progress and Human Development: A Process of Conceptual Evolution," Journal of Economic Issues, Taylor & Francis Journals, vol. 45(2), pages 447-456.
    4. Yanwei Zhang & Hualin Xie, 2019. "Interactive Relationship among Urban Expansion, Economic Development, and Population Growth since the Reform and Opening up in China: An Analysis Based on a Vector Error Correction Model," Land, MDPI, vol. 8(10), pages 1-31, October.
    5. Junfeng Wang & Yaqing Wu & Yue Zhao & Shutong He & Zhanfeng Dong & Wenguang Bo, 2019. "The population structural transition effect on rising per capita CO2 emissions: evidence from China," Climate Policy, Taylor & Francis Journals, vol. 19(10), pages 1250-1269, November.
    6. Zhang, Chuanguo & Zhuang, Lihuan, 2011. "The composition of human capital and economic growth: Evidence from China using dynamic panel data analysis," China Economic Review, Elsevier, vol. 22(1), pages 165-171, March.
    7. 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.
    8. Lenzen, Manfred & Wier, Mette & Cohen, Claude & Hayami, Hitoshi & Pachauri, Shonali & Schaeffer, Roberto, 2006. "A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan," Energy, Elsevier, vol. 31(2), pages 181-207.
    9. Matthew A. Cole & Eric Neumayer, 2003. "Examining the Impact of Demographic Factors On Air Pollution," Labor and Demography 0312005, University Library of Munich, Germany, revised 13 May 2004.
    10. Qiang Wang & Shasha Wang & Rongrong Li, 2019. "Determinants of Decoupling Economic Output from Carbon Emission in the Transport Sector: A Comparison Study of Four Municipalities in China," IJERPH, MDPI, vol. 16(19), pages 1-21, October.
    11. CHI, Wei, 2008. "The role of human capital in China's economic development: Review and new evidence," China Economic Review, Elsevier, vol. 19(3), pages 421-436, September.
    12. Weidong Li & Xin Qi & Xiaojun Zhao, 2018. "Impact of Population Aging on Carbon Emission in China: A Panel Data Analysis," Sustainability, MDPI, vol. 10(7), pages 1-13, July.
    13. Shi, Anqing, 2003. "The impact of population pressure on global carbon dioxide emissions, 1975-1996: evidence from pooled cross-country data," Ecological Economics, Elsevier, vol. 44(1), pages 29-42, February.
    14. 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.
    15. Johnson, D. Gale, 1999. "Population and economic development," China Economic Review, Elsevier, vol. 10(1), pages 1-16.
    16. 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.
    17. Rui Jiang & Yulin Zhou & Rongrong Li, 2018. "Moving to a Low-Carbon Economy in China: Decoupling and Decomposition Analysis of Emission and Economy from a Sector Perspective," Sustainability, MDPI, vol. 10(4), pages 1-12, March.
    18. Yue-Jun Zhang & Zhao Liu & Huan Zhang & Tai-De Tan, 2014. "The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China," 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. 73(2), pages 579-595, September.
    19. Giovanni Baiocchi & Jan Minx & Klaus Hubacek, 2010. "The Impact of Social Factors and Consumer Behavior on Carbon Dioxide Emissions in the United Kingdom," Journal of Industrial Ecology, Yale University, vol. 14(1), pages 50-72, January.
    20. Xu, Shi-Chun & He, Zheng-Xia & Long, Ru-Yin, 2014. "Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI," Applied Energy, Elsevier, vol. 127(C), pages 182-193.
    21. Canfei He & Xiyan Mao, 2016. "Population dynamics and regional development in China," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 9(3), pages 535-549.
    22. Wei, Taoyuan, 2011. "What STIRPAT tells about effects of population and affluence on the environment?," Ecological Economics, Elsevier, vol. 72(C), pages 70-74.
    23. Jianbo Hu & Shanshan Gui & Wei Zhang, 2017. "Decoupling Analysis of China’s Product Sector Output and Its Embodied Carbon Emissions—An Empirical Study Based on Non-Competitive I-O and Tapio Decoupling Model," Sustainability, MDPI, vol. 9(5), pages 1-17, May.
    24. Liu, Bingquan & Shi, Junxue & Wang, Hui & Su, Xuelin & Zhou, Peng, 2019. "Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier," Applied Energy, Elsevier, vol. 256(C).
    25. Li, Jun & Zhang, Dayong & Su, Bin, 2019. "The Impact of Social Awareness and Lifestyles on Household Carbon Emissions in China," Ecological Economics, Elsevier, vol. 160(C), pages 145-155.
    26. Andrew K Jorgenson & Brett Clark, 2013. "The Relationship between National-Level Carbon Dioxide Emissions and Population Size: An Assessment of Regional and Temporal Variation, 1960–2005," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-8, February.
    27. Min Shang & Ji Luo, 2021. "The Tapio Decoupling Principle and Key Strategies for Changing Factors of Chinese Urban Carbon Footprint Based on Cloud Computing," IJERPH, MDPI, vol. 18(4), pages 1-17, February.
    28. Feng Dong & Yifei Hua & Bolin Yu, 2018. "Peak Carbon Emissions in China: Status, Key Factors and Countermeasures—A Literature Review," Sustainability, MDPI, vol. 10(8), pages 1-34, August.
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