GEOGRAPHICAL RESEARCH ›› 2011, Vol. 30 ›› Issue (2): 301-310.doi: 10.11821/yj2011020010

• Earth Surface Processes • Previous Articles     Next Articles

Study on the vulnerability of economic development in mining cities based on the PSE Model

SUN Ping-jun, XIU Chun-liang   

  1. Department of Geography, Northeast Normal University, Changchun 130024, China
  • Received:2010-02-03 Revised:2010-06-26 Online:2011-02-20 Published:2011-02-20

Abstract: Based on the understanding of the vulnerability, the sustainable development and their relationships, this article considered that: (1) the vulnerability is a temporal and spatial function for the sustainable development, and regional economic development is a process that suppresses the vulnerability continually; (2) the economic development vulnerability of the mining cities presented the typical "pressure (P) - sensitive (S) - elasticity (E)" characteristics. On this point, the article constructed a vulnerability assessment model, combined with Entropy Value Method and Principal Component Analysis, and chose the mining cities of Northeast China to make a research. The result shows that: (1) most mining cities with high vulnerability are spatially concentrated in Liaoning Province. (2) The mean vulnerability scores of mining cities based on different mineral resources have a descending trend in the order of coal resources type > integrated mineral resources type > metal resources type > petroleum resources type. (3) The vulnerability scores have a tendency to increase with the devolvement of mining city's life circle. (4) The elasticity of the urban economic development plays an important role in determining the degree of the vulnerability. Finally, the authors gave suggestions on how to lower the vulnerability of the regional economic development, and to achieve the sustainable development of mining cities, by reducing the pressure, decreasing the sensitivity and enhancing the flexibility.

Key words: mining city, PSE model, vulnerability, Principal Component Analysis, Entropy Value Method, Northeast China