Open Access Journal Article

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

by Ying She a ,  Guoliang Liu a ,  Ling Jia a ,  Yangu Deng a,*  and  Liyuan Zhang b
a
School of Economics and Management, Nanchang Hangkong University, Nanchang, China
b
School of Business and Creative Industries, University of the West of Scotland, Paisley, UK
*
Author to whom correspondence should be addressed.
REA  2023 2(1):8; https://doi.org/10.58567/rea02010003
Received: 23 January 2023 / Accepted: 30 March 2023 / Published Online: 23 April 2023
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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.

Keywords: Global aircraft production network; Social network analysis method; Spatial characteristics; Major nodesReview of Economic Assessment Homepage:https://anser.press/index.php/REA;
Copyright: © 2023 by She, Liu, Jia, Deng and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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ACS Style
She, Y.; Liu, G.; Jia, L.; Deng, Y.; Zhang, L. Spatial-temporal Evolution of Global Aircraft Production Network: Evidence from 1741 Global Aircraft Firms. Review of Economic Assessment, 2023, 2, 8. https://doi.org/10.58567/rea02010003
AMA Style
She Y, Liu G, Jia L, Deng Y, Zhang L. Spatial-temporal Evolution of Global Aircraft Production Network: Evidence from 1741 Global Aircraft Firms. Review of Economic Assessment; 2023, 2(1):8. https://doi.org/10.58567/rea02010003
Chicago/Turabian Style
She, Ying; Liu, Guoliang; Jia, Ling; Deng, Yangu; Zhang, Liyuan 2023. "Spatial-temporal Evolution of Global Aircraft Production Network: Evidence from 1741 Global Aircraft Firms" Review of Economic Assessment 2, no.1:8. https://doi.org/10.58567/rea02010003
APA style
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), 8. https://doi.org/10.58567/rea02010003

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