The Trade-off between Innovation and Defence Industrial Policy: A Simulation Model Analysis of the Norwegian Defence Industry

Blom, Martin and Castellacci, Fulvio and Fevolden, Arne (2014): The Trade-off between Innovation and Defence Industrial Policy: A Simulation Model Analysis of the Norwegian Defence Industry. Published in:

Abstract

The paper investigates the trade-off between innovation and defence industrial policy. It presents an agent-based simulation model calibrated for the Norwegian defence industry that compares different policy scenarios and examines the effects of a pending EU market liberalization process. The paper points to two main results. (1) It finds that a pure scenario where national authorities focus on, and provide support exclusively for, either a) international competitiveness or b) national defence and security objectives, is more Pareto efficient than a corresponding mixed strategy where policy makers simultaneously pursue both international competitiveness and defence and security objectives. (2) Under the conditions of the new EU liberalization regime, a stronger and more visible trade-off will emerge between international competitiveness and national defence and security objectives. Policy makers will have to choose which to prioritise, and set a clear agenda focusing on one of the two objectives.

• Item Type: MPRA Paper
• Language: English
• Keywords: Innovation policy; industrial policy; defense industry; EU liberalization; agent-based simulation model
• Subjects: C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling; H - Public Economics > H0 - General; L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance; O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights

References

J. Edwards, The EU Defence and Security Procurement Directive: A Step Towards Affordability?, International Security Programme Paper 2011/05, Chatham House, London (2011).

K. Pavitt, Sectoral patterns of technical change: towards a taxonomy and a theory, Res. Policy 13 (1984) 343-373.

N. Gilbert, P. Ahrweiler, A. Pyka, Learning in innovation networks: Some simulation experiments, Physica A 378 (2007) 100-109.

A. Pika, N. Gilbert, P. Ahrweiler, Simulating knowledge-generation and distribution processes in innovation collaborations and networks, Cybernet. Syst. 38 (7) (2007) 667-693.

P. Ahrweiler, N. Gilbert, A. Pyka, Agency and Structure. A social simulation of knowledge-intensive industries, Comput. Mqth Organ. Th. 17 (2011) 59-76.

A. Fevolden, H. Andås, J.H. Christiansen, En Kartlegging av Kunnskap og Kompetanse innen Forsvarsindustrien i Norge, FFI-rapport 2009/01068 (2009).

F. Castellacci, A.M. Fevolden, A, What explains the export performance of firms in the defence industry? Empirical evidence from Norway, NUPI Working Paper (2012)

O. Wicken, Modernization through Military Industry: The Creation of a “Military-Industrial System” in Norway 1960-75, in: N.P. Gleditchs, O. Njølstad (Eds.), Arms Races – Technological and Political Dynamics. Oslo, Oslo Peace Research Institute, 1990.

S. Martin, The Economics of Offsets: Defence Procurement and Coutertrade, Routledge ,1996

J. Brauer, P. Dunne, Arms Trade and Economic Development: Theory, Policy and Cases in Arms Trade Offsets, Routledge, 2004.

B.E. Apostolakis, The Buy-American Practices of the U.S. Defence Department and Their Repercussions, J. Econ. Stud., 14 (3) (1987) 61-74.

M. North, C. Macal, Managing Business Complexity: Discovering Strategic Solutions with Agent-based Modelling and Simulation, Oxford University Press, 2007.

L. Tesfatsion, Agent-based computational economics: Growing economies from the bottom up, Artificial Life, 8 (1) (2002) 55-82

C. Macal, and M. North, Tutorial on agent-based modelling and simulation, JOS 4 (2010) 151-162.

N. Gilbert, P. Ahrweiler, A. Pyka, Learning in innovation networks: Some simulation experiments, Physica A 378 (2007) 100-109.

A. Pyka, N. Gilbert, P. Ahrweiler, Simulating knowledge-generation and distribution processes in innovation collaborations and networks, Cybernet. Syst. 38 (7) (2007) 667-693.

P. Ahrweiler, N. Gilbert, A. Pyka, Agency and Structure. A social simulation of knowledge-intensive industries, Comput. Mqth Organ. Th. 17 (2011) 59-76.

M. Melitz, The impact of trade and intra-industry reallocations and aggregate industry productivity, Econometrica 71 (6) (2003) 1695-1725.

H. Helpman, M. Melitz, S. Yeaple, Export versus FDI with heterogeneous firms, Am. Econ. Rev., 94 (1) (2004) 300-316.

R.R. Nelson, S.G. Winter, An Evolutionary Theory of Economic Change, The Belknap Press of Harvard University Press, Cambridge, USA, 1982.

M. Melitz, The impact of trade and intra-industry reallocations and aggregate industry productivity, Econometrica, 71 (6) (2003) 1695-1725.

H. Helpman, M. Melitz, S. Yeaple, Export versus FDI with heterogeneous firms, Am. Econ. Rev. 94 (1) (2004) 300-316.

Castellacci, A.M. Fevolden, A, What explains the export performance of firms in the defence industry? Empirical evidence from Norway, NUPI Working Paper (2012)

F. Castellacci, Technology, heterogeneity and international competitiveness: Insights from the mainstream and evolutionary economics paradigms, in: M. Jovanovic (Ed.), International Handbook of Economic Integration, Edward Elgar, 2011.