Spatial-temporal Evolution of Global Aircraft Production Network: Evidence from 1741 Global Aircraft Firms

Authors

  • Ying She School of Economics and Management, Nanchang Hangkong University, Nanchang, China
  • Guoliang Liu School of Economics and Management, Nanchang Hangkong University, Nanchang, China
  • Ling Jia School of Economics and Management, Nanchang Hangkong University, Nanchang, China
  • Yangu Deng School of Economics and Management, Nanchang Hangkong University, Nanchang, China
  • Liyuan Zhang School of Business and Creative Industries, University of the West of Scotland, Paisley, UK

DOI:

https://doi.org/10.58567/rea02010003

Keywords:

Global aircraft production network; social network analysis method; spatial characteristics; major nodes

Abstract

Triggered by the rising demand, a complex aircraft production network has been evolving during the past half century. In order to analysis the spatial-temporal evolution of this network, this paper establishes a novel and complex data by collecting 1774 major global aircraft manufacturers' production relationship from Jane's All the World' s Aircraft Development & Production (1965-2021), and visualizes the spatial temporal characteristics of the global aircraft production network by using Social Net Analysis method. The characteristics are summarized as follows: (1) the main aircraft firms from 48 counties form a complex production network centered on the United States, Europe and China; (2) The production network remains diffusion during 1965-2005, but it retracts after 2005, which documents evidences of de-globalization trend in the aircraft industry; (3)AVIC, Airbus, Boeing, Textron, Lockheed, Kawasaki, Mitsubishi, Sikorsky, Bell, and Embraer are all ranked high in the study period and play the role of leading firms in the production network and drive the cooperative connections of other companies.

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Published

2023-04-23

How to Cite

She, Y., Liu, G., Jia, L., Deng, Y., & Zhang, L. (2023). Spatial-temporal Evolution of Global Aircraft Production Network: Evidence from 1741 Global Aircraft Firms. Review of Economic Assessment, 2(1), 40–53. https://doi.org/10.58567/rea02010003

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