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Thursday, June 3
Practice and Applications
Classification and Simulation: Methods, Analyses, and Applications
Thu, Jun 3, 10:00 AM - 11:35 AM
TBD
 

Regional and Sectoral Structures and Their Dynamics of the Chinese Economy: A Network Perspective from Multi-Regional Input-Output Tables (309691)

Tao Wang, Schoolf of Statistics, Shanxi University of Finance and Economics 
Shiying Xiao, Schoolf of Statistics, Shanxi University of Finance and Economics 
*Jun Yan, University of Connecticut 
Panpan Zhang, University of Pennsylvania 

Keywords: backbone structure, dynamical analysis, input-output table, network analysis, power law, region-sector economy

A multi-regional input-output table (MRIOT) containing the transactions among the region-sectors in an economy defines a weighted and directed network. Using network analysis tools, we analyze the regional and sectoral structure of the Chinese economy and their temporal dynamics from 2007 to 2012 via the MRIOTs of China. Global analyses are done with network topology measures. Growth-driving province-sector clusters are identified with community detection methods. Influential province-sectors are ranked by weighted PageRank scores. The results revealed a few interesting and telling insights. The level of inter-province-sector activities increased with the rapid growth of the national economy, but not as fast as that of intra-province economic activities. Regional community structures were deeply associated with geographical factors. The community heterogeneity across the regions was high and the regional fragmentation increased during the study period. Quantified metrics assessing the relative importance of the province-sectors in the national economy echo the national and regional economic development policies to a certain extent.