IDEAS home Printed from https://ideas.repec.org/r/eee/eneeco/v30y2008i3p1263-1278.html
   My bibliography  Save this item

Modeling and forecasting energy consumption in China: Implications for Chinese energy demand and imports in 2020

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Sergey Paltsev & John Reilly, 2007. "Long-Term Energy Scenarios for Asia," Energy and Environmental Modeling 2007 24000047, EcoMod.
  2. Tehreem Fatima & Enjun Xia & Muhammad Ahad, 2019. "Oil demand forecasting for China: a fresh evidence from structural time series analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(3), pages 1205-1224, June.
  3. Shao, Zhen & Gao, Fei & Zhang, Qiang & Yang, Shan-Lin, 2015. "Multivariate statistical and similarity measure based semiparametric modeling of the probability distribution: A novel approach to the case study of mid-long term electricity consumption forecasting i," Applied Energy, Elsevier, vol. 156(C), pages 502-518.
  4. Xiaohui, Chen & Tiansong, Wang & Piano, Samuele Lo & Mayumi, Kozo, 2015. "China's metabolic patterns and their potential problems," Ecological Modelling, Elsevier, vol. 318(C), pages 75-85.
  5. Huang, Junbing & Xiang, Shiqi & Wu, Panling & Chen, Xiang, 2022. "How to control China's energy consumption through technological progress: A spatial heterogeneous investigation," Energy, Elsevier, vol. 238(PC).
  6. Morgan Bazilian & Patrick Nussbaumer & Hans-Holger Rogner & Abeeku Brew-Hammond & Vivien Foster & Shonali Pachauri & Eric Williams & Mark Howells & Philippe Niyongabo & Lawrence Musaba & Brian Ó Galla, 2011. "Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa," Working Papers 2011.68, Fondazione Eni Enrico Mattei.
  7. Michieka, Nyakundi M. & Fletcher, Jerald & Burnett, Wesley, 2013. "An empirical analysis of the role of China’s exports on CO2 emissions," Applied Energy, Elsevier, vol. 104(C), pages 258-267.
  8. Han, Hongyun & Wu, Shu, 2018. "Rural residential energy transition and energy consumption intensity in China," Energy Economics, Elsevier, vol. 74(C), pages 523-534.
  9. Arbex, Marcelo & Perobelli, Fernando S., 2010. "Solow meets Leontief: Economic growth and energy consumption," Energy Economics, Elsevier, vol. 32(1), pages 43-53, January.
  10. Ouedraogo, Nadia S., 2017. "Africa energy future: Alternative scenarios and their implications for sustainable development strategies," Energy Policy, Elsevier, vol. 106(C), pages 457-471.
  11. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
  12. Zhang, XiaoHong & Hu, He & Zhang, Rong & Deng, ShiHuai, 2014. "Interactions between China׳s economy, energy and the air emissions and their policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 624-638.
  13. Wang, Qiang, 2014. "Effects of urbanisation on energy consumption in China," Energy Policy, Elsevier, vol. 65(C), pages 332-339.
  14. Peng Jiang & Yi-Chung Hu & Wenbao Wang & Hang Jiang & Geng Wu, 2020. "Interval Grey Prediction Models with Forecast Combination for Energy Demand Forecasting," Mathematics, MDPI, vol. 8(6), pages 1-12, June.
  15. Walls, W.D., 2010. "Petroleum refining industry in China," Energy Policy, Elsevier, vol. 38(5), pages 2110-2115, May.
  16. Rasoulinezhad, Ehsan, 2020. "Energy Trade and Economic Integration between the Commonwealth Independent States and China," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 35(1), pages 172-190.
  17. 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.
  18. Pan, Wenchao & Guo, Zhichen & Zhang, Jiayan Shi Yaxuan & Luo, Lingle, 2024. "Forecasting of coal and electricity prices in China: Evidence from the quantum bee colony-support vector regression neural network," Energy Economics, Elsevier, vol. 134(C).
  19. Zhou, Jie & Sun, Mei & Han, Dun & Gao, Cuixia, 2021. "Analysis of oil price fluctuation under the influence of crude oil stocks and US dollar index — Based on time series network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
  20. Alvarez-Ramirez, Jose & Alvarez, Jesus & Rodriguez, Eduardo, 2008. "Short-term predictability of crude oil markets: A detrended fluctuation analysis approach," Energy Economics, Elsevier, vol. 30(5), pages 2645-2656, September.
  21. Mohamed Defaf & Mohamed Tkiouat, 2021. "A Review on Prospective Energy Models: The Moroccan Case," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 14-23.
  22. Akkemik, K. Ali & Göksal, Koray & Li, Jia, 2012. "Energy consumption and income in Chinese provinces: Heterogeneous panel causality analysis," Applied Energy, Elsevier, vol. 99(C), pages 445-454.
  23. Carlo Andrea Bollino & Francesco Asdrubali & Paolo Polinori & Simona Bigerna & Silvia Micheli & Claudia Guattari & Antonella Rotili, 2017. "A Note on Medium- and Long-Term Global Energy Prospects and Scenarios," Sustainability, MDPI, vol. 9(5), pages 1-25, May.
  24. Liu, Yaobin & Xie, Yichun, 2013. "Asymmetric adjustment of the dynamic relationship between energy intensity and urbanization in China," Energy Economics, Elsevier, vol. 36(C), pages 43-54.
  25. Kiki Ayu & Akilu Yunusa-Kaltungo, 2020. "A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems," Energies, MDPI, vol. 13(8), pages 1-32, April.
  26. Liao, Hua & Peng, Ying & Wang, Fang-Zhi & Zhang, Tong, 2022. "Understanding energy use growth: The role of investment-GDP ratio," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 15-24.
  27. Wu, Gang & Zhang, Yue-Jun, 2014. "Does China factor matter? An econometric analysis of international crude oil prices," Energy Policy, Elsevier, vol. 72(C), pages 78-86.
  28. -, 2011. "An assessment of the economic impact of climate change on the Energy Sector in Trinidad and Tobago," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38584, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  29. Broich, T. & Szirmai, A., 2014. "China's economic embrace of Africa: An international comparative perspective," MERIT Working Papers 2014-049, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  30. Chen, Jiandong & Xu, Chong & Shahbaz, Muhammad & Song, Malin, 2021. "Interaction determinants and projections of China’s energy consumption: 1997–2030," Applied Energy, Elsevier, vol. 283(C).
  31. Liu, Yaobin, 2009. "Exploring the relationship between urbanization and energy consumption in China using ARDL (autoregressive distributed lag) and FDM (factor decomposition model)," Energy, Elsevier, vol. 34(11), pages 1846-1854.
  32. Sun, Qi & Xu, Lin & Yin, Hua, 2016. "Energy pricing reform and energy efficiency in China: Evidence from the automobile market," Resource and Energy Economics, Elsevier, vol. 44(C), pages 39-51.
  33. Uzlu, Ergun & Akpınar, Adem & Özturk, Hasan Tahsin & Nacar, Sinan & Kankal, Murat, 2014. "Estimates of hydroelectric generation using neural networks with the artificial bee colony algorithm for Turkey," Energy, Elsevier, vol. 69(C), pages 638-647.
  34. Yao, Yao & Ivanovski, Kris & Inekwe, John & Smyth, Russell, 2019. "Human capital and energy consumption: Evidence from OECD countries," Energy Economics, Elsevier, vol. 84(C).
  35. Gozgor, Giray, 2014. "Aggregated and disaggregated import demand in China: An empirical study," Economic Modelling, Elsevier, vol. 43(C), pages 1-8.
  36. Kialashaki, Arash & Reisel, John R., 2014. "Development and validation of artificial neural network models of the energy demand in the industrial sector of the United States," Energy, Elsevier, vol. 76(C), pages 749-760.
  37. Hao, Yu & Liu, Yiming & Weng, Jia-Hsi & Gao, Yixuan, 2016. "Does the Environmental Kuznets Curve for coal consumption in China exist? New evidence from spatial econometric analysis," Energy, Elsevier, vol. 114(C), pages 1214-1223.
  38. Zhou, Nan & Fridley, David & Khanna, Nina Zheng & Ke, Jing & McNeil, Michael & Levine, Mark, 2013. "China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model," Energy Policy, Elsevier, vol. 53(C), pages 51-62.
  39. Zhang, Jing & Deng, Shihuai & Shen, Fei & Yang, Xinyao & Liu, Guodong & Guo, Hang & Li, Yuanwei & Hong, Xiao & Zhang, Yanzong & Peng, Hong & Zhang, Xiaohong & Li, Li & Wang, Yingjun, 2011. "Modeling the relationship between energy consumption and economy development in China," Energy, Elsevier, vol. 36(7), pages 4227-4234.
  40. Li, Sisi & Khan, Sufyan Ullah & Yao, Yao & Chen, George S. & Zhang, Lin & Salim, Ruhul & Huo, Jiaying, 2022. "Estimating the long-run crude oil demand function of China: Some new evidence and policy options," Energy Policy, Elsevier, vol. 170(C).
  41. Liu, Yongge & Hou, Jian & Zhao, Haifeng & Liu, Xiaoyu & Xia, Zhizeng, 2018. "A method to recover natural gas hydrates with geothermal energy conveyed by CO2," Energy, Elsevier, vol. 144(C), pages 265-278.
  42. Reza Hafezi & Amir Naser Akhavan & Mazdak Zamani & Saeed Pakseresht & Shahaboddin Shamshirband, 2019. "Developing a Data Mining Based Model to Extract Predictor Factors in Energy Systems: Application of Global Natural Gas Demand," Energies, MDPI, vol. 12(21), pages 1-22, October.
  43. You, Jing, 2013. "China's challenge for decarbonized growth: Forecasts from energy demand models," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 652-668.
  44. Shahateet, Mohammed & Bdour, Jaber, 2010. "Consumption of Electricity and Oil in Jordan: A non-parametric analysis using B-splines," MPRA Paper 57352, University Library of Munich, Germany, revised 2010.
  45. You, Jing, 2011. "China's energy consumption and sustainable development: Comparative evidence from GDP and genuine savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2984-2989, August.
  46. Dong-ha Kim, 2008. "Analysis and Feasibility of China's Coal Industrial Policy," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 11(2), pages 153-173, September.
  47. Fan, Ying & Xia, Yan, 2012. "Exploring energy consumption and demand in China," Energy, Elsevier, vol. 40(1), pages 23-30.
  48. Zhang, Qianxue & Liao, Hua & Hao, Yu, 2018. "Does one path fit all? An empirical study on the relationship between energy consumption and economic development for individual Chinese provinces," Energy, Elsevier, vol. 150(C), pages 527-543.
  49. Feng, Taiwen & Sun, Linyan & Zhang, Ying, 2009. "The relationship between energy consumption structure, economic structure and energy intensity in China," Energy Policy, Elsevier, vol. 37(12), pages 5475-5483, December.
  50. Huang, Junbing & Chen, Xiang & Cai, Xiaochen & Zou, Hong, 2021. "Assessing the impact of energy-saving R&D on China’s energy consumption: Evidence from dynamic spatial panel model," Energy, Elsevier, vol. 218(C).
  51. Jian Zhang & Denise Eby Konan, 2010. "The Sleeping Giant Awakes: Projecting Global Implications of China's Energy Consumption," Review of Development Economics, Wiley Blackwell, vol. 14(4), pages 750-767, November.
  52. Michieka, Nyakundi M. & Fletcher, Jerald J., 2012. "An investigation of the role of China's urban population on coal consumption," Energy Policy, Elsevier, vol. 48(C), pages 668-676.
  53. Kuchler, Magdalena & Höök, Mikael, 2020. "Fractured visions: Anticipating (un)conventional natural gas in Poland," Resources Policy, Elsevier, vol. 68(C).
  54. Huang, Junbing & Du, Dan & Hao, Yu, 2017. "The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations," Economic Modelling, Elsevier, vol. 65(C), pages 41-50.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.