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Effect of Population Structure Change on Carbon Emission in China

Author

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  • Wen Guo

    (Accounting Department, College of Accounting, Nanjing University of Finance & Economics, Nanjing 210046, China
    College of Economics and Management, Research Institute of Financial Development, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Tao Sun

    (College of Economics and Management, Research Institute of Financial Development, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Hongjun Dai

    (College of Economics and Management, Research Institute of Financial Development, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
    College of Economics and Management, Huainan Normal University, Huainan 232038, China)

Abstract

This paper expanded the Logarithmic Mean Divisia Index (LMDI) model through the introduction of urbanization, residents’ consumption, and other factors, and decomposed carbon emission changes in China into carbon emission factor effect, energy intensity effect, consumption inhibitory factor effect, urbanization effect, residents’ consumption effect, and population scale effect, and then explored contribution rates and action mechanisms of the above six factors on change in carbon emissions in China. Then, the effect of population structure change on carbon emission was analyzed by taking 2003–2012 as a sample period, and combining this with the panel data of 30 provinces in China. Results showed that in 2003–2012, total carbon emission increased by 4.2117 billion tons in China. The consumption inhibitory factor effect, urbanization effect, residents’ consumption effect, and population scale effect promoted the increase in carbon emissions, and their contribution ratios were 27.44%, 12.700%, 74.96%, and 5.90%, respectively. However, the influence of carbon emission factor effect (−2.54%) and energy intensity effect (−18.46%) on carbon emissions were negative. Population urbanization has become the main population factor which affects carbon emission in China. The “Eastern aggregation” phenomenon caused the population scale effect in the eastern area to be significantly higher than in the central and western regions, but the contribution rate of its energy intensity effect (−11.10 million tons) was significantly smaller than in the central (−21.61 million tons) and western regions (−13.29 million tons), and the carbon emission factor effect in the central area (−3.33 million tons) was significantly higher than that in the eastern (−2.00 million tons) and western regions (−1.08 million tons). During the sample period, the change in population age structure, population education structure, and population occupation structure relieved growth of carbon emissions in China, but the effects of change of population, urban and rural structure, regional economic level, and population size generated increases in carbon emissions. Finally, the change of population sex structure had no significant influence on changes in carbon emissions.

Suggested Citation

  • Wen Guo & Tao Sun & Hongjun Dai, 2016. "Effect of Population Structure Change on Carbon Emission in China," Sustainability, MDPI, vol. 8(3), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:3:p:225-:d:65145
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    1. Martínez-Zarzoso, Inmaculada & Maruotti, Antonello, 2011. "The impact of urbanization on CO2 emissions: Evidence from developing countries," Ecological Economics, Elsevier, vol. 70(7), pages 1344-1353, May.
    2. Zhu, Hui-Ming & You, Wan-Hai & Zeng, Zhao-fa, 2012. "Urbanization and CO2 emissions: A semi-parametric panel data analysis," Economics Letters, Elsevier, vol. 117(3), pages 848-850.
    3. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    4. Sharif Hossain, Md., 2011. "Panel estimation for CO2 emissions, energy consumption, economic growth, trade openness and urbanization of newly industrialized countries," Energy Policy, Elsevier, vol. 39(11), pages 6991-6999.
    5. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    6. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    7. Steven Lugauer & Richard Jensen & Clayton Sadler, 2014. "An Estimate Of The Age Distribution'S Effect On Carbon Dioxide Emissions," Economic Inquiry, Western Economic Association International, vol. 52(2), pages 914-929, April.
    8. Laureti, Tiziana & Montero, José-María & Fernández-Avilés, Gema, 2014. "A local scale analysis on influencing factors of NOx emissions: Evidence from the Community of Madrid, Spain," Energy Policy, Elsevier, vol. 74(C), pages 557-568.
    9. Mishra, Vinod & Smyth, Russell & Sharma, Susan, 2009. "The energy-GDP nexus: Evidence from a panel of Pacific Island countries," Resource and Energy Economics, Elsevier, vol. 31(3), pages 210-220, August.
    10. Wang, Qiang, 2014. "Effects of urbanisation on energy consumption in China," Energy Policy, Elsevier, vol. 65(C), pages 332-339.
    11. Ling Wang & Zhongchang Chen & Dalai Ma & Pei Zhao, 2013. "Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis," Sustainability, MDPI, vol. 5(12), pages 1-14, December.
    12. Fang, Wen Shwo & Miller, Stephen M. & Yeh, Chih-Chuan, 2012. "The effect of ESCOs on energy use," Energy Policy, Elsevier, vol. 51(C), pages 558-568.
    13. Poumanyvong, Phetkeo & Kaneko, Shinji & Dhakal, Shobhakar, 2012. "Impacts of urbanization on national transport and road energy use: Evidence from low, middle and high income countries," Energy Policy, Elsevier, vol. 46(C), pages 268-277.
    14. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    15. Cellura, Maurizio & Longo, Sonia & Mistretta, Marina, 2012. "Application of the Structural Decomposition Analysis to assess the indirect energy consumption and air emission changes related to Italian households consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1135-1145.
    16. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    17. 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.
    18. 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.
    19. 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.
    20. Wang, Ping & Wu, Wanshui & Zhu, Bangzhu & Wei, Yiming, 2013. "Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China," Applied Energy, Elsevier, vol. 106(C), pages 65-71.
    21. Yao, Chunsheng & Chen, Chongying & Li, Ming, 2012. "Analysis of rural residential energy consumption and corresponding carbon emissions in China," Energy Policy, Elsevier, vol. 41(C), pages 445-450.
    22. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    23. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    24. Fang Cai & Yang Lu, 2013. "Population Change and Resulting Slowdown in Potential GDP Growth in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 21(2), pages 1-14, March.
    25. 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.
    26. Liddle, Brantley, 2014. "Impact of population, age structure, and urbanization on carbon emissions/energy consumption: Evidence from macro-level, cross-country analyses," MPRA Paper 61306, University Library of Munich, Germany.
    27. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    28. Katircioğlu, Salih Turan, 2014. "Estimating higher education induced energy consumption: The case of Northern Cyprus," Energy, Elsevier, vol. 66(C), pages 831-838.
    29. Ang, B.W. & Huang, H.C. & Mu, A.R., 2009. "Properties and linkages of some index decomposition analysis methods," Energy Policy, Elsevier, vol. 37(11), pages 4624-4632, November.
    30. Okada, Akira, 2012. "Is an increased elderly population related to decreased CO2 emissions from road transportation?," Energy Policy, Elsevier, vol. 45(C), pages 286-292.
    31. 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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