Mu jiankang
School of Management, Henan University of Technology, Zhengzhou, 45001, China
ABSTRACT
With the development of economic globalization and regional economic integration, the competition between nations and regions demonstrate the trend that urban agglomerations participate in. Through accelerating the development of urban agglomerations which improve the competitiveness of urban agglomeration, thus boost national or regional economic development. In this study we present a method for evaluating urban agglomeration development level and region difference. The method exploits a competitiveness model of Generalized Principal Component Analysis (GPCA) to analyze the structure of urban agglomeration. The research result shows that the triangular model and evaluation method is effective in computational regional study. Based on the system structure modeling, we can develop a model for the urban competitiveness reorganization to get the core competency of the urban agglomerations.
PDF References
Received: August 31, 2013;
Accepted: November 06, 2013;
Published: November 16, 2013
How to cite this article
Mu jiankang, 2013. The Study on Evaluating Urban Development Level and Regional Difference Based on a Competitiveness Model. Journal of Applied Sciences, 13: 5527-5532.
DOI: 10.3923/jas.2013.5527.5532
URL: https://scialert.net/abstract/?doi=jas.2013.5527.5532
DOI: 10.3923/jas.2013.5527.5532
URL: https://scialert.net/abstract/?doi=jas.2013.5527.5532
REFERENCES
- Chen, J. and J. Zheng, 2009. The construction and analysis of enterprise external competitive advantage function based on knowledge network in urban agglomerations. Proceedings of the 2nd International Workshop on Knowledge Discovery and Data Mining, January 23-25, 2009, Moscow, Russia, pp: 496-499.
CrossRef - Enesi, I. and E. Zanaj, 2011. Wavelet image compression method combined with the GPCA. Proceedings of the International Conference on Network-Based Information Systems, September 7-9, 2011, Tirana, pp: 559-564.
CrossRef - Raghukanth, S.T.G., 2011. Seismicity parameters for important urban agglomerations in India. Bull. Earthquake Eng., 9: 1361-1386.
CrossRef - Shen, X., 2010. Urban core competitiveness: Evaluation and track by GPCA. Proceedings of the IEEE International Conference on Advanced Management Science, July 9-11, 2010, Chengdu, pp: 32-36.
CrossRef - Yang, W., C. Sun and K. Ricanek, 2012. Sequential Row-column 2DPCA for face recognition. Neural Comput. Appl., 21: 1729-1735.
CrossRef - Yu, L. and Y. Wang, 2012. Research on self-organization evolution for public crisis governance network of urban agglomeration. Proceedings of the 9th International Conference on Service Systems and Service Management, July 2-4, 2012, Shanghai, China, pp: 162-166.
CrossRef - Yu, P., 2011. Regional logistics competitiveness integrated evaluation system of the central plain urban agglomeration. Proceedings of the 3rd International Conference on Transportation Engineering, July 23-25, 2011, Chengdu, China, pp: 660-665.
CrossRef