Modeling and Forecasting the Clean Energy Consumption in China

摘要：

　　This article gave an exemplificative study about the Chinese clean energy demand based on the data since 1953.The co-integration model and the error correction model about the clean energy demand and the economy growth were established and their causality was discussed by Granger-Causality test.To learn the inherent law of clean energy demand,the sparse coefficient model was built.These models all passed the statistical relevant tests and proved highly effective by simulating and forecasting comparing with the real values.The results of models can bring some references for the related people as the credible bases.

关键词： Clean energy consumption GDP index Co-integration Causality test Sparse coefficient model

作者: ZHAO Linlin WANG Chengshan HUO Zhenyu

作者单位: School of Science,China University of Geosciences,P.R.China,100083 School of the Earth Sciences and Resources,China University of Geosciences,P.R.China,100083 No.2 Design & Research Institute,China Wuzhou Engineering Corporation LTD.,P.R.China,100053

会议类型: 国际会议

会议名称: The 5th International Institute of Statistics & Management Engineering Symposium (第五届(2012)国际统计与管理工程学术研讨会(IISMES2012))

会议地点: 青岛

会议语种:英文

页码: 507-514

在线出版日期: 2012-07-20（万方平台首次上网日期，不代表论文的发表时间）