Identify the Worldwide Industrial Transfer Pattern

Lizhi Xing ()
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Lizhi Xing: Beijing University of Technology

Chapter Chapter 11 in Complex Network-Based Global Value Chain Accounting System, 2022, pp 261-285 from Springer

Abstract: Abstract Industrial Transfer is an inevitable trend in the process of vertical specialization. The traditional industrial transfer theory tends to adopt partial data and methodologies from reductionism, and thus can not tackle with the highly non-linear systematic problems, such as the evolutionary mechanism and path of global economic system. With the properties of structural complexity, dynamic evolution and multiple linkages, complex networks can better reflect the interdependent and mutually restricted relations between different levels and components of the industrial structure, pinpoint the key to optimization and control. Currently, there are only a few available studies on such weighted, directed, and dense networks, which reflect the topological complexity of GVC with the results being unsystematic and impractical. This chapter utilizes the binary GISRN model to describe the trajectory of the most crucial value stream on the GVC, making it possible to find the transfer paths between economies. Also, methods of defining and measuring the networks’ redundancies are devised to figure out the fundamental laws of worldwide industrial transfer pattern based on Link Prediction, thus blazing a new trial for the evolutionary economics.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-9264-2_11

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DOI: 10.1007/978-981-16-9264-2_11

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