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Vicarious warfare and dynamic efficiency of companies in the aerospace and defence industry

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  • Mohammad Nourani
  • Wen‐Min Lu
  • Irene Wei Kiong Ting

Abstract

This study explores the economic performance that vicarious warfare can bring for the aerospace and defence industry. First, this study measures the performance of 22 companies using a nonradial dynamic data envelopment analysis model from 2011 to 2017. Second, this study evaluates whether vicarious warfare can influence the performance. The efficiency analysis suggests rooms for improvements meanwhile, the projection analysis suggests that market value should be significantly increased, and the number of employees should be reduced significantly. The regression analysis suggests that the number of times a country takes a side in wars would positively affect the efficiency of companies.

Suggested Citation

  • Mohammad Nourani & Wen‐Min Lu & Irene Wei Kiong Ting, 2020. "Vicarious warfare and dynamic efficiency of companies in the aerospace and defence industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(4), pages 641-650, June.
  • Handle: RePEc:wly:mgtdec:v:41:y:2020:i:4:p:641-650
    DOI: 10.1002/mde.3127
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    1. Wang, Wei-Kang & Lu, Wen-Min & Kweh, Qian Long & Lai, Hsiao-Wen, 2014. "Does corporate social responsibility influence the corporate performance of the U.S. telecommunications industry?," Telecommunications Policy, Elsevier, vol. 38(7), pages 580-591.
    2. Hosseinzadeh, Ahmad & Smyth, Russell & Valadkhani, Abbas & Le, Viet, 2016. "Analyzing the efficiency performance of major Australian mining companies using bootstrap data envelopment analysis," Economic Modelling, Elsevier, vol. 57(C), pages 26-35.
    3. Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity and intermediate products: A frontier approach," Economics Letters, Elsevier, vol. 50(1), pages 65-70, January.
    4. N�stor Duch-Brown & Antonio Fonfr�a & Elisa Trujillo-Baute, 2014. "Market Structure and Technical Efficiency of Spanish Defense Contractors," Defence and Peace Economics, Taylor & Francis Journals, vol. 25(1), pages 23-38, February.
    5. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    6. Manuel Acosta & Daniel Coronado & Esther Ferrandiz & M. Rosario Marin & Pedro J. Moreno, 2018. "Patents and Dual-use Technology: An Empirical Study of the World's Largest Defence Companies," Defence and Peace Economics, Taylor & Francis Journals, vol. 29(7), pages 821-839, November.
    7. Sylvain Moura & Jean-Michel Oudot, 2017. "Performances of the defense industrial base in France: the role of small and medium enterprises," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(6), pages 652-668, November.
    8. Kai Du & Allan O’Connor, 2018. "Entrepreneurship and advancing national level economic efficiency," Small Business Economics, Springer, vol. 50(1), pages 91-111, January.
    9. Christos Kollias & Apostolos Rafailidis, 2003. "A survey of the Greek defence industry," Defence and Peace Economics, Taylor & Francis Journals, vol. 14(4), pages 311-324.
    10. Mohammad Nourani & Irene Wei Kiong Ting & Wen-Min Lu & Qian Long Kweh, 2019. "Capital Structure And Dynamic Performance: Evidence From Asean-5 Banks," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(03), pages 495-516, June.
    11. Cummins, J. David & Weiss, Mary A. & Xie, Xiaoying & Zi, Hongmin, 2010. "Economies of scope in financial services: A DEA efficiency analysis of the US insurance industry," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1525-1539, July.
    12. Rajeev K. Goel & James W. Saunoris, 2018. "Military spending and entrepreneurship: Spatial effects of cross†country spillovers," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 39(3), pages 363-373, April.
    13. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    14. Bart Frijns & Dimitris Margaritis & Maria Psillaki, 2012. "Firm efficiency and stock returns," Journal of Productivity Analysis, Springer, vol. 37(3), pages 295-306, June.
    15. Yu, Ming-Miin & Chen, Li-Hsueh & Hsiao, Bo, 2016. "Dynamic performance assessment of bus transit with the multi-activity network structure," Omega, Elsevier, vol. 60(C), pages 15-25.
    16. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    17. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    18. Rubén Elvira Herranz & Pablo García Estévez & María Auxiliadora de Vicente y Oliva & Rahul Dé, 2017. "Leveraging financial management performance of the Spanish aerospace manufacturing value chain," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(5), pages 1005-1022, September.
    19. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    20. Nemoto, Jiro & Goto, Mika, 1999. "Dynamic data envelopment analysis: modeling intertemporal behavior of a firm in the presence of productive inefficiencies," Economics Letters, Elsevier, vol. 64(1), pages 51-56, July.
    21. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    22. Ian Jackson, 2004. "The future of the defence firm: the case of the UK aerospace industry," Defence and Peace Economics, Taylor & Francis Journals, vol. 15(6), pages 519-534.
    23. Qian Long Kweh & Wen-Min Lu & Mohammad Nourani & Mohd Hisyam Ghazali @ Mohd Zain, 2018. "Risk management and dynamic network performance: an illustration using a dual banking system," Applied Economics, Taylor & Francis Journals, vol. 50(30), pages 3285-3299, June.
    24. Kim, Huong Trang & Papanastassiou, Marina & Nguyen, Quang, 2017. "Multinationals and the impact of corruption on financial derivatives use and firm value: Evidence from East Asia," Journal of Multinational Financial Management, Elsevier, vol. 39(C), pages 39-59.
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