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Global renewable energy development: Influencing factors, trend predictions and countermeasures

Author

Listed:
  • Xu, Xiaofeng
  • Wei, Zhifei
  • Ji, Qiang
  • Wang, Chenglong
  • Gao, Guowei

Abstract

Promoting the development and utilisation of renewable energy is the current trend of energy policy in various regions. First, we divide the world into seven regions based on the Engineering News-Record (ENR) regional classification—Asia-Pacific, Middle East, Canada, the United States, Latin America, Europe and Africa—and analyse the status of renewable energy from political, technical, economic and social perspectives. Second, an integration forecasting model is proposed, which includes differential autoregressive integrated moving average model (ARIMA), neural network model (NNM), support vector machine model (SVM), and predicts the development prospects of renewable resources by one-way regression in various regions. Finally, corresponding countermeasures are proposed for these seven regions.

Suggested Citation

  • Xu, Xiaofeng & Wei, Zhifei & Ji, Qiang & Wang, Chenglong & Gao, Guowei, 2019. "Global renewable energy development: Influencing factors, trend predictions and countermeasures," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
  • Handle: RePEc:eee:jrpoli:v:63:y:2019:i:c:11
    DOI: 10.1016/j.resourpol.2019.101470
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    References listed on IDEAS

    as
    1. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    2. Richardson, David B., 2013. "Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 247-254.
    3. Zhang, Xiliang & Ruoshui, Wang & Molin, Huo & Martinot, Eric, 2010. "A study of the role played by renewable energies in China's sustainable energy supply," Energy, Elsevier, vol. 35(11), pages 4392-4399.
    4. Yan‐ran Ma & Qiang Ji & Jiaofeng Pan, 2019. "Oil financialization and volatility forecast: Evidence from multidimensional predictors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(6), pages 564-581, September.
    5. Mason, Karl & Duggan, Jim & Howley, Enda, 2018. "Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks," Energy, Elsevier, vol. 155(C), pages 705-720.
    6. Masini, Andrea & Menichetti, Emanuela, 2012. "The impact of behavioural factors in the renewable energy investment decision making process: Conceptual framework and empirical findings," Energy Policy, Elsevier, vol. 40(C), pages 28-38.
    7. Ji, Qiang & Zhang, Dayong, 2019. "How much does financial development contribute to renewable energy growth and upgrading of energy structure in China?," Energy Policy, Elsevier, vol. 128(C), pages 114-124.
    8. Zhao, Zhen-Yu & Chen, Yu-Long & Li, Heng, 2019. "What affects the development of renewable energy power generation projects in China: ISM analysis," Renewable Energy, Elsevier, vol. 131(C), pages 506-517.
    9. Farooq, Muhammad Khalid & Kumar, S., 2013. "An assessment of renewable energy potential for electricity generation in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 240-254.
    10. Andrea Masini & E. Menichetti, 2012. "The impact of behavioural factors in the renewable energy investment decision making process: Conceptual framework and empirical findings," Post-Print hal-00651706, HAL.
    11. Zeng, Ming & Li, Chen & Zhou, Lisha, 2013. "Progress and prospective on the police system of renewable energy in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 36-44.
    12. Yang, Yong-cong & Nie, Pu-yan & Liu, Hui-ting & Shen, Ming-hao, 2018. "On the welfare effects of subsidy game for renewable energy investment: Toward a dynamic equilibrium model," Renewable Energy, Elsevier, vol. 121(C), pages 420-428.
    13. Connor, Peter & Bürger, Veit & Beurskens, Luuk & Ericsson, Karin & Egger, Christiane, 2013. "Devising renewable heat policy: Overview of support options," Energy Policy, Elsevier, vol. 59(C), pages 3-16.
    14. Sakaguchi, Takushi & Tabata, Tomohiro, 2015. "100% electric power potential of PV, wind power, and biomass energy in Awaji island Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1156-1165.
    15. Wang, Bing & Wang, Qian & Wei, Yi-Ming & Li, Zhi-Ping, 2018. "Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 187-194.
    16. Zhang, M.M. & Wang, Qunwei & Zhou, Dequn & Ding, H., 2019. "Evaluating uncertain investment decisions in low-carbon transition toward renewable energy," Applied Energy, Elsevier, vol. 240(C), pages 1049-1060.
    17. Shaikh, Faheemullah & Ji, Qiang & Shaikh, Pervez Hameed & Mirjat, Nayyar Hussain & Uqaili, Muhammad Aslam, 2017. "Forecasting China’s natural gas demand based on optimised nonlinear grey models," Energy, Elsevier, vol. 140(P1), pages 941-951.
    18. Aslani, Alireza & Naaranoja, Marja & Zakeri, Bahnam, 2012. "The prime criteria for private sector participation in renewable energy investment in the Middle East (case study: Iran)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 1977-1987.
    19. Schuman, Sara & Lin, Alvin, 2012. "China's Renewable Energy Law and its impact on renewable power in China: Progress, challenges and recommendations for improving implementation," Energy Policy, Elsevier, vol. 51(C), pages 89-109.
    20. Pao, Hsiao-Tien, 2009. "Forecast of electricity consumption and economic growth in Taiwan by state space modeling," Energy, Elsevier, vol. 34(11), pages 1779-1791.
    21. Miguel Pérez de Arce and Enzo Sauma, 2016. "Comparison of Incentive Policies for Renewable Energy in an Oligopolistic Market with Price-Responsive Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    22. Jammazi, Rania & Aloui, Chaker, 2012. "Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling," Energy Economics, Elsevier, vol. 34(3), pages 828-841.
    23. Mirza, Umar K. & Ahmad, Nasir & Harijan, Khanji & Majeed, Tariq, 2009. "Identifying and addressing barriers to renewable energy development in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 927-931, May.
    24. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2019. "How information and communication technology drives carbon emissions: A sector-level analysis for China," Energy Economics, Elsevier, vol. 81(C), pages 380-392.
    25. Rexhäuser, Sascha & Löschel, Andreas, 2015. "Invention in energy technologies: Comparing energy efficiency and renewable energy inventions at the firm level," Energy Policy, Elsevier, vol. 83(C), pages 206-217.
    26. Qiang Ji, Ying Fan, Mike Troilo, Ronald D. Ripple, and Lianyong Feng, 2018. "China's Natural Gas Demand Projections and Supply Capacity Analysis in 2030," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
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