关键词: 援藏, 西藏自治区, 西藏自治区经济发展, 灰色关联分析, 耦合度, 协调指数

Abstract:

Aiding Tibet has a strong relationship with the economic development in Tibet Autonomous Region, so it is both theoretically and practically necessary to study the coupling and coordinating process over time and space between them when it comes to the relationship between policy and local development and the implementation and perfection of aiding Tibet work. This paper takes 74 counties (cities, districts) of Tibet Autonomous Region as investigated subjects. With the support of gray correlation analysis method, this paper analyzes the correlation and interaction between aiding Tibet and Tibetan economic development during 2000-2014 by establishing an index system for aiding Tibet in terms of five aspects, including fiscal transfer payment, infrastructure, public facilities, favor of loan, construction and installation investment along with Tibetan economic development in terms of four aspects, including economic strength, economic vitality, economic structure and rural economy. Based on the gray correlation analysis, the paper further explores the relationship between aiding Tibet and economic development by establishing the coupling degree model and coordinating index model, focusing on the coupling and coordination process and trends as well as the spatial distribution of coupling index and coordinating index. The results show that: 1) there is strong positive correlation between aiding Tibet and economic development with the correlation degree averaging from 0.687 to 0.750. The impact of financial transfer payment on the economic development is particularly significant, following by the impact of favor of loan, public facilities and infrastructure. Meanwhile, aiding Tibet has more obvious effects on economic strength and rural economy. 2) Since the 21th century, the coordinating index between aiding Tibet and economic development has been showing a rising trend, indicating the gradually coordinating trend with each other. 3) In 2014, the coupling degree of every county (city, district) is above the medium level but the coordinating index is below the medium level. Specifically, higher altitude area and border area have higher coupling degree but lower coordinating index. There exist obvious spatial differences in coupling and coordination indexes inside the Brahmaputra River and its four branches area, with higher coordinating indexes generally tending to the political and economic centers. Based on the coupling degree and coordinating index, the paper also divides Tibet Autonomous Region into four regions: better coordinating region, primary coordinating region, barely coordinating region and little coordinating region. Almost 68.919% of the counties (cities, districts) distribute in the barely coordinating region and only Chengguan district in Lhasa is the better coordinating area. Finally, some suggestion is proposed on aiding Tibet.

Key words: aiding Tibet, Tibet Autonomous Region, Tibetan economic development, gray relative analysis, the coupling degree, the coordinating index