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Input–output networks offer new insights of economic structure

CSS Publication Number
CSS19-40
Full Publication Date
August 1, 2019
Abstract

An input–output (IO) model can be regarded as a network in which nodes represent sectors and directional, weighted links stand for IO transactions between sectors. The integration of IO models with modern network analysis can potentially provide additional insights for better understanding the structure of economies. We introduce the framework of IO network analysis including several popular metrics and tools. We also demonstrate the framework using a hypothesized six-sector economy. The World Input–Output Database (WIOD) 2009 model is used as well for a real-world demonstration. This research shows the potential of IO network analysis in understanding the structure of economies using IO models and data. Our work lays the ground for future studies in developing new methods for IO network analysis and real-world case studies.

Research Areas
Communities
Framework, Methods & Tools
Urban Systems and Built Environment
Keywords
Economic structure, Input–output model, Network analysis
Publication Type
Journal Article
Digital Object Identifier
https://doi.org/10.1016/j.physa.2019.121178
Full Citation
Xu, Ming, and Sai Liang. (2019) “Input–output networks offer new insights of economic structure.” Physica A: Statistical Mechanics and its Applications 527(121178): 1-14.