Testing the spatial distribution of economic activity in Jiangsu province by means of spatial association methods

Ying Ge; Weina Wang; Shuhui Zhang; Weibiao Yan

doi:10.1117/12.765498

6 August 2007 Testing the spatial distribution of economic activity in Jiangsu province by means of spatial association methods

Ying Ge, Weina Wang, Shuhui Zhang, Weibiao Yan

Author Affiliations +

Proceedings Volume 6754, Geoinformatics 2007: Geospatial Information Technology and Applications; 67543B (2007) https://doi.org/10.1117/12.765498
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

The new economic geography theory suggests that regional development is strongly dependent on market access. Due to a snowball effect, spatial clusters of employment and firms might induce regional income increases. In order to identify explicit patterns of regional development, this study makes the empirical attempts by applying spatial association methods for estimating and distinguishing various spatial patterns of economic activities for three county-level factors, namely income, employment and firms of Jiangsu in 2004. The conclusions in this study reveal that on the whole, there is significant, positive correlation of income, employment and firms between regions over the whole space in that year. Moreover, regional income can be to a large extent explained by the market potentials of its neighbors. Apart from market access, regional incomes might be affected by other factors such as local amenities or technology spillover. Also, highly agglomerated clusters of employment and firms give rise to high regional incomes. Strong spatial heterogeneity of employment and firms indicates that firms locate first, anticipating the subsequent consumers' locations and demand functions. Thus, the mobility of firms and employment can induce the highly agglomeration of income.

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Ying Ge, Weina Wang, Shuhui Zhang, and Weibiao Yan "Testing the spatial distribution of economic activity in Jiangsu province by means of spatial association methods", Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67543B (6 August 2007); https://doi.org/10.1117/12.765498

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