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Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China

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  • Zhou, Yang
  • Liu, Yansui

Abstract

As global warming intensifies, the accumulation of carbon dioxide (CO2) and other greenhouse gases have attracted great global attention. However, questions regarding whether, how and to what extent demographic factors and processes affect carbon emissions have not yet been fully explained – particularly in China. This study used an improved STIRPAT model to reassess the impact of demographic and income changes on China’s energy-related CO2 emissions at the national and regional levels using balanced provincial panel data from the 1990–2012 period. Whereas most previous studies of emission–population/income elasticity in China have yielded wide-ranging estimates, this study showed that income rather than demographic change has been the dominant driving force behind China’s growing CO2 emissions. Urbanisation has increased energy consumption and emissions, except in western China. Changes in the age structure have had a statistically insignificant effect on energy use, but resulted in increased national emissions – particularly in eastern China. Shrinking household size did not reduce energy use and emissions, indicating that improved residential energy efficiency might reduce emissions. Changing the traditional mode of economic growth, reasonable controlling the pace of urbanisation, improving energy efficiency and upgrading industrial structures may yet be necessary to mitigate the environmental impact of human activities in China.

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  • 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.
    • Handle: RePEc:eee:appene:v:180:y:2016:i:c:p:800-809
    DOI: 10.1016/j.apenergy.2016.08.035
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    as
    1. 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.
    2. Zhu, Dan & Tao, Shu & Wang, Rong & Shen, Huizhong & Huang, Ye & Shen, Guofeng & Wang, Bin & Li, Wei & Zhang, Yanyan & Chen, Han & Chen, Yuanchen & Liu, Junfeng & Li, Bengang & Wang, Xilong & Liu, Wenx, 2013. "Temporal and spatial trends of residential energy consumption and air pollutant emissions in China," Applied Energy, Elsevier, vol. 106(C), pages 17-24.
    3. 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.
    4. Leiwen Jiang & Karen Hardee, 2011. "How do Recent Population Trends Matter to Climate Change?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 30(2), pages 287-312, April.
    5. Zhang, Chuanguo & Nian, Jiang, 2013. "Panel estimation for transport sector CO2 emissions and its affecting factors: A regional analysis in China," Energy Policy, Elsevier, vol. 63(C), pages 918-926.
    6. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    7. Zhang, Kevin Honglin & Song, Shunfeng, 2003. "Rural-urban migration and urbanization in China: Evidence from time-series and cross-section analyses," China Economic Review, Elsevier, vol. 14(4), pages 386-400.
    8. Sharma, Susan Sunila, 2011. "Determinants of carbon dioxide emissions: Empirical evidence from 69 countries," Applied Energy, Elsevier, vol. 88(1), pages 376-382, January.
    9. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    10. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    11. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    12. 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.
    13. Li, Huanan & Mu, Hailin & Zhang, Ming & Gui, Shusen, 2012. "Analysis of regional difference on impact factors of China’s energy – Related CO2 emissions," Energy, Elsevier, vol. 39(1), pages 319-326.
    14. Zhang, Chuanguo & Zhao, Wei, 2014. "Panel estimation for income inequality and CO2 emissions: A regional analysis in China," Applied Energy, Elsevier, vol. 136(C), pages 382-392.
    15. Crompton, Paul & Wu, Yanrui, 2005. "Energy consumption in China: past trends and future directions," Energy Economics, Elsevier, vol. 27(1), pages 195-208, January.
    16. Zhang, Chuanguo & Lin, Yan, 2012. "Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China," Energy Policy, Elsevier, vol. 49(C), pages 488-498.
    17. Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012. "An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China," Applied Energy, Elsevier, vol. 100(C), pages 277-284.
    18. Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "Energy consumption, pollutant emissions and economic growth in South Africa," Energy Economics, Elsevier, vol. 32(6), pages 1374-1382, November.
    19. 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.
    20. 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.
    21. Cong, Rong-Gang & Wei, Yi-Ming, 2010. "Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options," Energy, Elsevier, vol. 35(9), pages 3921-3931.
    22. Liddle, Brantley, 2015. "What Are the Carbon Emissions Elasticities for Income and Population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates," MPRA Paper 61304, University Library of Munich, Germany.
    23. Zhou, Yang & Liu, Yansui & Wu, Wenxiang & Li, Yurui, 2015. "Effects of rural–urban development transformation on energy consumption and CO2 emissions: A regional analysis in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 863-875.
    24. Wang, Ce & Liao, Hua & Pan, Su-Yan & Zhao, Lu-Tao & Wei, Yi-Ming, 2014. "The fluctuations of China’s energy intensity: Biased technical change," Applied Energy, Elsevier, vol. 135(C), pages 407-414.
    25. Hasanov, Fakhri J. & Bulut, Cihan & Suleymanov, Elchin, 2016. "Do population age groups matter in the energy use of the oil-exporting countries?," Economic Modelling, Elsevier, vol. 54(C), pages 82-99.
    26. Yansui Liu & Yuheng Li & Cong Chen, 2015. "Pollution: Build on success in China," Nature, Nature, vol. 517(7533), pages 145-145, January.
    27. Sadorsky, Perry, 2014. "The effect of urbanization on CO2 emissions in emerging economies," Energy Economics, Elsevier, vol. 41(C), pages 147-153.
    28. Cong, Rong-Gang & Shen, Shaochuan, 2013. "Relationships among Energy Price Shocks, Stock Market, and the Macroeconomy: Evidence from China," MPRA Paper 112211, University Library of Munich, Germany.
    29. Cong, Rong-Gang & Wei, Yi-Ming & Jiao, Jian-Lin & Fan, Ying, 2008. "Relationships between oil price shocks and stock market: An empirical analysis from China," Energy Policy, Elsevier, vol. 36(9), pages 3544-3553, September.
    30. Xu, Bin & Lin, Boqiang, 2015. "How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models," Energy Economics, Elsevier, vol. 48(C), pages 188-202.
    31. 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.
    32. Cong, Rong-Gang & Wei, Yi-Ming, 2012. "Experimental comparison of impact of auction format on carbon allowance market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4148-4156.
    33. 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.
    34. Fujimi, Toshio & Kajitani, Yoshio & Chang, Stephanie E., 2016. "Effective and persistent changes in household energy-saving behaviors: Evidence from post-tsunami Japan," Applied Energy, Elsevier, vol. 167(C), pages 93-106.
    35. Meng, Ming & Niu, Dongxiao, 2011. "Modeling CO2 emissions from fossil fuel combustion using the logistic equation," Energy, Elsevier, vol. 36(5), pages 3355-3359.
    36. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    37. Zhang, Haiyan & Lahr, Michael L., 2014. "China's energy consumption change from 1987 to 2007: A multi-regional structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 682-693.
    38. Sumabat, Ana Karmela & Lopez, Neil Stephen & Yu, Krista Danielle & Hao, Han & Li, Richard & Geng, Yong & Chiu, Anthony S.F., 2016. "Decomposition analysis of Philippine CO2 emissions from fuel combustion and electricity generation," Applied Energy, Elsevier, vol. 164(C), pages 795-804.
    39. 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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