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Modelling and forecasting CO2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model

Author

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  • Wu, Lifeng
  • Liu, Sifeng
  • Liu, Dinglin
  • Fang, Zhigeng
  • Xu, Haiyan

Abstract

This study reexamines the relationship between energy consumption, urban population, economic growth and CO2 emissions in the BRICS countries (i.e., Brazil, Russia, India, China, and South Africa) during the period 2004–2010, by using a novel multi-variable grey model. The results indicate that the economic growth has a decreasing effect on the CO2 emissions in Brazil and Russia and has an increasing effect in India, China and South Africa, and the CO2 emissions will increase with the increasing of urban population and energy consumption in all BRICS countries. The CO2 emissions in the BRICS countries are further predicted by rolling multi-variable grey forecasting model considering energy consumption and economic growth. China has the greatest growth rate in CO2 emissions, Brazil and India have the greater ones, while Russian Federation and South Africa have the least ones. The results not only contribute to advancing the existing literature, but also merit particular attention from policy makers in the BRICS countries.

Suggested Citation

  • Wu, Lifeng & Liu, Sifeng & Liu, Dinglin & Fang, Zhigeng & Xu, Haiyan, 2015. "Modelling and forecasting CO2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model," Energy, Elsevier, vol. 79(C), pages 489-495.
    • Handle: RePEc:eee:energy:v:79:y:2015:i:c:p:489-495
    DOI: 10.1016/j.energy.2014.11.052
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    1. Pao, Hsiao-Tien & Yu, Hsiao-Cheng & Yang, Yeou-Herng, 2011. "Modeling the CO2 emissions, energy use, and economic growth in Russia," Energy, Elsevier, vol. 36(8), pages 5094-5100.
    2. Lin, Chiun-Sin & Liou, Fen-May & Huang, Chih-Pin, 2011. "Grey forecasting model for CO2 emissions: A Taiwan study," Applied Energy, Elsevier, vol. 88(11), pages 3816-3820.
    3. Zhang, Xing-Ping & Cheng, Xiao-Mei, 2009. "Energy consumption, carbon emissions, and economic growth in China," Ecological Economics, Elsevier, vol. 68(10), pages 2706-2712, August.
    4. Lu, I.J. & Lewis, Charles & Lin, Sue J., 2009. "The forecast of motor vehicle, energy demand and CO2 emission from Taiwan's road transportation sector," Energy Policy, Elsevier, vol. 37(8), pages 2952-2961, August.
    5. Susmita Dasgupta & Benoit Laplante & Hua Wang & David Wheeler, 2002. "Confronting the Environmental Kuznets Curve," Journal of Economic Perspectives, American Economic Association, vol. 16(1), pages 147-168, Winter.
    6. Rentziou, Aikaterini & Gkritza, Konstantina & Souleyrette, Reginald R., 2012. "VMT, energy consumption, and GHG emissions forecasting for passenger transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 487-500.
    7. Li, Huimin & Wu, Tong & Zhao, Xiaofan & Wang, Xiao & Qi, Ye, 2014. "Regional disparities and carbon “outsourcing”: The political economy of China's energy policy," Energy, Elsevier, vol. 66(C), pages 950-958.
    8. Cowan, Wendy N. & Chang, Tsangyao & Inglesi-Lotz, Roula & Gupta, Rangan, 2014. "The nexus of electricity consumption, economic growth and CO2 emissions in the BRICS countries," Energy Policy, Elsevier, vol. 66(C), pages 359-368.
    9. Bahrami, Saadat & Hooshmand, Rahmat-Allah & Parastegari, Moein, 2014. "Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm," Energy, Elsevier, vol. 72(C), pages 434-442.
    10. Hong Chang & Wei Sun & Xingsheng Gu, 2013. "Forecasting Energy CO 2 Emissions Using a Quantum Harmony Search Algorithm-Based DMSFE Combination Model," Energies, MDPI, vol. 6(3), pages 1-22, March.
    11. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil," Energy, Elsevier, vol. 36(5), pages 2450-2458.
    12. Usama Al-mulali & Che Normee Che Sab, 2013. "Energy consumption, pollution and economic development in 16 emerging countries," Journal of Economic Studies, Emerald Group Publishing, vol. 40(5), pages 686 - 698, September.
    13. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2010. "CO2 emissions, energy consumption and economic growth in BRIC countries," Energy Policy, Elsevier, vol. 38(12), pages 7850-7860, December.
    14. 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.
    15. Auffhammer, Maximilian & Carson, Richard T., 2008. "Forecasting the path of China's CO2 emissions using province-level information," Journal of Environmental Economics and Management, Elsevier, vol. 55(3), pages 229-247, May.
    16. Usama Al-mulali & Che Normee Che Sab, 2013. "Energy consumption, pollution and economic development in 16 emerging countries," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 40(5), pages 686-698, October.
    17. Pao, Hsiao-Tien & Fu, Hsin-Chia & Tseng, Cheng-Lung, 2012. "Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model," Energy, Elsevier, vol. 40(1), pages 400-409.
    18. Song, Ma-Lin & Zhang, Lin-Ling & Liu, Wei & Fisher, Ron, 2013. "Bootstrap-DEA analysis of BRICS’ energy efficiency based on small sample data," Applied Energy, Elsevier, vol. 112(C), pages 1049-1055.
    19. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "A trigonometric grey prediction approach to forecasting electricity demand," Energy, Elsevier, vol. 31(14), pages 2839-2847.
    20. Meng, Ming & Niu, Dongxiao & Shang, Wei, 2014. "A small-sample hybrid model for forecasting energy-related CO2 emissions," Energy, Elsevier, vol. 64(C), pages 673-677.
    21. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Multivariate Granger causality between CO2 emissions, energy consumption, FDI (foreign direct investment) and GDP (gross domestic product): Evidence from a panel of BRIC (Brazil, Russian Federation, I," Energy, Elsevier, vol. 36(1), pages 685-693.
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    Keywords

    CO2 emissions forecasting; Energy use; GDP;
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