PROGRESS IN GEOGRAPHY ›› 2009, Vol. 28 ›› Issue (3): 345-352.doi: 10.11820/dlkxjz.2009.03.004

• Original Articles • Previous Articles     Next Articles

Grey Associative Analysis of Infrastructure System and Economic Development Coupling in Xinjiang

YANG Li1,2, YANG Degang1, ZHANG Yufang1,2, QIAO Xuning1,2, TANG Hong1,2, WANG Guogang1,2   

  1. 1. Xinjiang Institute of Ecology and Geography, CAS, Urumqi 830011, China|
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2009-05-25 Published:2009-05-25

Abstract:

Taking Xinjiang as a case analysis, based on the panel and serial statistical data, the main factors of infrastructure system and economic development coupling, temporal-spatial distribution of the coupling degrees have been researched. The results show: (1) Through grey associative degree analysis, it can be seen that the transport infrastructure and post﹠telecommunication services are the main momentums for infrastructure system to affect economic development. Furthermore, the paper selects ten items of infrastructure system and six items of economic development to reveal the coupling mechanism of infrastructure system and economic development. (2) The infrastructure system is very important for economic growth. Deducting an effects-relationship model and the elasticity of transport infrastructure and post﹠telecommunication services to economic growth is 0.264. (3) There exist significant phases and undulatory characteristics for the temporal evolvement of infrastructure system and economic development coupling, and its spatial distribution is different. According to the coupling degree distributions and the level of infrastructure system and regional economic development, the 15 prefectures, autonomous prefectures and cities in Xinjiang can be divided into four types, i.e., the economic development surpassing infrastructure, tending to be harmony, harmony and low-level coupling. The harmony type is dominant, reaching 50%.

Key words: associative degree; coupling degree, grey associative analysis, infrastructure;economic development, Xinjiang