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Modelling and forecasting the demand for coal in China

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  • Lin Chan, Hing
  • Kam Lee, Shu
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  • Lin Chan, Hing & Kam Lee, Shu, 1997. "Modelling and forecasting the demand for coal in China," Energy Economics, Elsevier, vol. 19(3), pages 271-287, July.
    • Handle: RePEc:eee:eneeco:v:19:y:1997:i:3:p:271-287
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    References listed on IDEAS

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    8. Johnson, James A, et al, 1992. "Short-Run and Long-Run Elasticities for Canadian Consumption of Alcoholic Beverages: An Error-Correction Mechanism/Cointegration Approach," The Review of Economics and Statistics, MIT Press, vol. 74(1), pages 64-74, February.
    9. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
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    11. Bopp, Anthony E., 1984. "Tests for structural change in US oil consumption, 1967-1982," Energy Economics, Elsevier, vol. 6(4), pages 223-230, October.
    12. Bentzen, Jan & Engsted, Tom, 1993. "Short- and long-run elasticities in energy demand : A cointegration approach," Energy Economics, Elsevier, vol. 15(1), pages 9-16, January.
    13. Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-228, August.
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    Cited by:

    1. Burke, Paul J. & Liao, Hua, 2015. "Is the price elasticity of demand for coal in China increasing?," China Economic Review, Elsevier, vol. 36(C), pages 309-322.
    2. Stanislav Radchenko, 2005. "The Long-Run Forecasting of Energy Prices Using the Model of Shifting Trend," Econometrics 0502002, University Library of Munich, Germany.
    3. John Baffes & Alain Kabundi & Peter Nagle, 2022. "The role of income and substitution in commodity demand [Modelling OECD industrial energy demand: asymmetric price responses and energy-saving technical change]," Oxford Economic Papers, Oxford University Press, vol. 74(2), pages 498-522.
    4. Wang, Ce & Li, Bing-Bing & Liang, Qiao-Mei & Wang, Jin-Cheng, 2018. "Has China’s coal consumption already peaked? A demand-side analysis based on hybrid prediction models," Energy, Elsevier, vol. 162(C), pages 272-281.
    5. Wang, Chengjin & Ducruet, César, 2014. "Transport corridors and regional balance in China: the case of coal trade and logistics," Journal of Transport Geography, Elsevier, vol. 40(C), pages 3-16.
    6. Chen, Pei-Fen & Lee, Chien-Chiang, 2007. "Is energy consumption per capita broken stationary? New evidence from regional-based panels," Energy Policy, Elsevier, vol. 35(6), pages 3526-3540, June.
    7. John T. Cuddington & Leila Dagher, 2015. "Estimating Short and Long-Run Demand Elasticities: A Primer with Energy-Sector Applications," The Energy Journal, , vol. 36(1), pages 185-210, January.
    8. Sun, Sizhong & Anwar, Sajid, 2015. "R&D status and the performance of domestic firms in China's coal mining industry," Energy Policy, Elsevier, vol. 79(C), pages 99-103.
    9. Cattaneo, Cristina & Manera, Matteo & Scarpa, Elisa, 2011. "Industrial coal demand in China: A provincial analysis," Resource and Energy Economics, Elsevier, vol. 33(1), pages 12-35, January.
    10. Chengjin Wang & César Ducruet, 2014. "Transport corridors and regional balance in China: the case of coal trade and logistics," Post-Print halshs-01069149, HAL.
    11. repec:bla:rdevec:v:14:y:2010:i:s1:p:499-519 is not listed on IDEAS
    12. Johannes Truby and Moritz Paulus, 2012. "Market Structure Scenarios in International Steam Coal Trade," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    13. Zhao, Xingjun & Wu, Yanrui, 2007. "Determinants of China's energy imports: An empirical analysis," Energy Policy, Elsevier, vol. 35(8), pages 4235-4246, August.
    14. Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
    15. Iqbal, Javed, 2001. "Forecasting methods: a comparative analysis," MPRA Paper 23856, University Library of Munich, Germany, revised 2001.
    16. 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).
    17. Xiaojie Xu & Yun Zhang, 2023. "Coking coal futures price index forecasting with the neural network," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 349-359, June.
    18. Li, Bing-Bing & Liang, Qiao-Mei & Wang, Jin-Cheng, 2015. "A comparative study on prediction methods for China's medium- and long-term coal demand," Energy, Elsevier, vol. 93(P2), pages 1671-1683.
    19. Bhattacharyya, Subhes C. & Timilsina, Govinda R., 2010. "Modelling energy demand of developing countries: Are the specific features adequately captured?," Energy Policy, Elsevier, vol. 38(4), pages 1979-1990, April.
    20. Suleyman Bolat & Murat Belke & Necati Celik, 2013. "Mean Reverting Behavior of Energy Consumption: Evidence from Selected MENA Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 3(4), pages 315-320.
    21. Türkekul, Berna & UnakItan, Gökhan, 2011. "A co-integration analysis of the price and income elasticities of energy demand in Turkish agriculture," Energy Policy, Elsevier, vol. 39(5), pages 2416-2423, May.
    22. Kulshreshtha, Mudit & Parikh, Jyoti K., 2000. "Modeling demand for coal in India: vector autoregressive models with cointegrated variables," Energy, Elsevier, vol. 25(2), pages 149-168.
    23. 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.
    24. Ghalwash, Tarek, 2007. "Energy taxes as a signaling device: An empirical analysis of consumer preferences," Energy Policy, Elsevier, vol. 35(1), pages 29-38, January.

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