摘要
经济增长与能源消费问题已成为理论界研究的热点,而作为煤炭生产和煤炭消费第一大国的中国,研究其煤炭消费和经济增长的关系问题具有重要意义。按照结构突变理论,对中国煤炭消费和经济增长的数据生成过程进行了分析,验证了它们均是由单位根过程所生成的;采用循序检验的方法并运用EViews5.0编程,检验并确定了中国煤炭消费和经济增长的均值突变和趋势突变的变结构点,证明变结构点的发生与中国50多年来的政治经济形式变化非常吻合。在上述分析基础上,利用变结构协整理论研究和建立了反映中国煤炭消费和经济增长长期均衡关系的变结构协整模型,通过模型的预测能力验证,证明变结构协整模型及其预测性能明显优于未考虑结构突变点的模型,也证实了变结构协整分析是反映经济关系和经济结构变化,体现经济系统内部长期均衡关系的新型研究方法。
Economic growth and energy consumption are popular topics for theoretical research. China is the largest global producer and consumer of coal, which makes research on the relationship between China's coal consumption and economic growth highly relevant. This paper analyses the data generation process for Chinese coal consumption and economic growth based on structural break theory and using Eviews5. 0 software. We identified the structural breakpoints and verified that they coincide with political and economic changes in China over the past fifty years. On the basis of this analysis, we designed a structural change cointegration model of the long-term equilibrium relationship between Chinese coal consumption and economic growth, and validated the model predictions. We conclude that without considering the circumstances of structural breaks, China' s coal consumption and economic growth sequence is not generated by stable trends, but generated by the unit root process. Also, coal consumption in China is a stable trend process with structural changes, which means that China' s coal consumption takes place with deviations in trend due to political, economic, natural disasters and other external factors, but the deviation and fluctuation is temporary. There are balance breaks and trend breaks of Chinese coal consumption in 1960, but the balanced break of Chinese economic growth took place in 1963, and the trend breaks took place in 1958, 1963 and 1978. These results indicate that a data generation process break is often caused by reasons such as a financial crisis, institutional change, natural disasters and other severe external shocks. In considering the circumstances of structural changes, Chinese coal consumption and economic growth still maintain a relationship of long-term equilibrium, and any impact will have a lasting effect on this relationship. Based on the analytical results and forecast predictions, the predictive ability and accuracy of the model is better than a model which hasn't considered the structural break point. Models which consider the structural break point have improved capacity to forecast and analyze China' s coal consumption demand. Therefore, the model has practical value for forecasting Chinese coal demand and providing a basis for decision-making.
出处
《资源科学》
CSSCI
CSCD
北大核心
2008年第9期1282-1289,共8页
Resources Science
基金
教育部专项基金:“中国东西部煤炭企业资源优势整合研究”(编号:03JD630026)
山东省软科学研究计划项目:“基于协整理论的山东省能源消费与经济发展关系研究”(编号:2007RKB240)
关键词
煤炭消费
经济增长
数据生成过程
结构突变
协整模型
Coal consumption
Economic growth
Data generation process
Structural break
Cointegration model