Title :
The Symbiotic Relationship between Coal Mining Machinery Enterprises and Coal Mining Enterprises in China
Author_Institution :
Sch. of Bus., Sias Int. Univ., Xinzheng
Abstract :
This article used VAR model to analyze and verify the symbiosis between Chinese coal mining machinery enterprises and coal mining enterprises from the perspective of static state and dynamic state, it concluded that: there is a co-integration relationship between the actual output value of Chinese coal mining machinery enterprises and the actual value of Chinese coal mining enterprises, namely, there is a long-term and stable equilibrium; Chinese coal mining machinery enterprises have advanced the development of Chinese coal mining enterprises, while the development of Chinese coal mining enterprises also have played a significant role in promoting Chinese coal mining machinery enterprises; in the short term, the changes of the actual output value of Chinese coal mining machinery enterprises are due to themselves as well as the actual output value of Chinese coal mining enterprises, and the changes of actual output value of Chinese coal mining enterprises are also due to themselves and the actual output value of Chinese coal mining machinery enterprises.
Keywords :
autoregressive processes; coal; economic indicators; industrial economics; mining equipment; mining industry; China; GDP; VAR model; coal mining enterprise; coal mining machinery enterprise; dynamic state perspective; long-term equilibrium; stable equilibrium; static state perspective; symbiotic relationship; vector autoregression; Data mining; Economic forecasting; Equations; Machinery; Mining industry; Power generation economics; Predictive models; Reactive power; Symbiosis; Time series analysis; coal mining enterprises; coal mining machinery enterprises; symbiotic relationship;
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
DOI :
10.1109/WKDD.2009.152