Modelling and forecasting the demand for coal in China
Citations
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Cited by:
- 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.
- Burke, Paul J. & Liao, Hua, 2015. "Is the price elasticity of demand for coal in China increasing?," Working Papers 249510, Australian National University, Centre for Climate Economics & Policy.
- Paul J. Burke & Hua Liao, 2015. "Is the Price Elasticity of Demand for Coal in China Increasing?," CCEP Working Papers 1506, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
- Paul J. Burke & Hua Liao, 2015. "Is the price elasticity of demand for coal in China increasing?," CEEP-BIT Working Papers 85, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Stanislav Radchenko, 2005. "The Long-Run Forecasting of Energy Prices Using the Model of Shifting Trend," Econometrics 0502002, University Library of Munich, Germany.
- 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.
- Baffes,John & Kabundi,Alain Ntumba & Nagle,Peter Stephen Oliver, 2020. "The Role of Income and Substitution in Commodity Demand," Policy Research Working Paper Series 9122, The World Bank.
- 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.
- 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.
- 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.
- repec:aen:journl:ej36-1-07 is not listed on IDEAS
- 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.
- 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.
- Matteo Manera & Cristina Cattaneo & Elisa Scarpa, 2008. "Industrial Coal Demand in China: A Provincial Analysis," Working Papers 2008.8, Fondazione Eni Enrico Mattei.
- Cattaneo, Cristina & Manera, Matteo & Scarpa, Elisa, 2008. "Industrial Coal Demand in China: A Provincial Analysis," International Energy Markets Working Papers 44425, Fondazione Eni Enrico Mattei (FEEM).
- Chengjin Wang & César Ducruet, 2014. "Transport corridors and regional balance in China: the case of coal trade and logistics," Post-Print halshs-01069149, HAL.
- repec:bla:rdevec:v:14:y:2010:i:s1:p:499-519 is not listed on IDEAS
- Johannes Trueby & Moritz Paulus, 2011. "Market Structure Scenarios in International Steam Coal Trade," EWI Working Papers 2011-2, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
- Zhao, Xingjun & Wu, Yanrui, 2007.
"Determinants of China's energy imports: An empirical analysis,"
Energy Policy, Elsevier, vol. 35(8), pages 4235-4246, August.
- Xingjun Zhao & Yanrui Wu, 2007. "Determinants of China’s Energy Imports: An Empirical Analysis," Economics Discussion / Working Papers 07-03, The University of Western Australia, Department of Economics.
- Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
- Iqbal, Javed, 2001. "Forecasting methods: a comparative analysis," MPRA Paper 23856, University Library of Munich, Germany, revised 2001.
- 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).
- 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.
- 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.
- 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.
- Bingzi Jin & Xiaojie Xu, 2025. "Forecasts of coking coal futures price indices through Gaussian process regressions," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 38(1), pages 203-217, March.
- 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.
- repec:aen:journl:33-3-04 is not listed on IDEAS
- 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.
- 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.
- 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.
- 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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