Analyzing regional economic development patterns in a fast developing province of China through geographically weighted principal component analysis

Li, Z, Cheng, J and Wu, Q (2015) Analyzing regional economic development patterns in a fast developing province of China through geographically weighted principal component analysis. Letters in Spatial and Resource Sciences, 9 (3). pp. 233-245. ISSN 1864-4031

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Abstract

Understanding the spatial structure of regional economic development is of importance for regional planning and provincial development strategy making. Taking Jiangsu Province in the economically richest Yangtze Delta as a case study, this paper aims to explore regional economic development level on a provincial scale. Using the data sets from provincial statistical yearbook of 2010, eleven variables are selected for statistical and spatial analyses at a county level. Both the traditional principal component analysis (PCA) and its local version—geographically weighted PCA (GWPCA)—are employed to these analyses for the purpose of comparison. The results have confirmed that GWPCA is an effective means of analyzing regional economic development level through mapping its local principal components. It is also concluded that the regional economic development in Jiangsu Province demonstrates spatial inequality between the North and South.