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

Zaijun Li (), Jianquan Cheng () and Qiyan Wu ()
Additional contact information
Zaijun Li: Nanjing Normal University
Jianquan Cheng: Manchester Metropolitan University
Qiyan Wu: Nanjing Normal University

Letters in Spatial and Resource Sciences, 2016, vol. 9, issue 3, No 1, 233-245

Abstract: 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.

Keywords: Regional economic development; Spatial non-stationarity; Principal component analysis; Geographically weighted principal component analysis; Jiangsu (search for similar items in EconPapers)
JEL-codes: C49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s12076-015-0154-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lsprsc:v:9:y:2016:i:3:d:10.1007_s12076-015-0154-2

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/12076

DOI: 10.1007/s12076-015-0154-2

Access Statistics for this article

Letters in Spatial and Resource Sciences is currently edited by Henk Folmer and Amitrajeet A. Batabyal

More articles in Letters in Spatial and Resource Sciences from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().