IDEAS home Printed from https://ideas.repec.org/a/taf/defpea/v14y2003i3p175-192.html
   My bibliography  Save this article

On the production of victory: Empirical determinants of battlefield success in modern war

Author

Listed:
  • Ralph Rotte
  • Christoph Schmidt

Abstract

Using a data set of historical battles from 1600 to 1973, this paper analyzes the empirical determinants of tactical success in modern war. Based on a reduced form approach we consider key elements of military theory as production factors for combat success as an output of a military production function. The paper focuses on the relationship of material and non-material factors to battlefield success, and especially on the role of superior force strengths. Contrary to the emphasis on technology which can be found in the recent literature, our estimation results indicate that numerical superiority has retained its crucial role for battlefield performance throughout history. In general, human elements of warfare, like leadership, morale and surprise, have continued to be important determinants of battle outcome despite technological progress in weapons.

Suggested Citation

  • Ralph Rotte & Christoph Schmidt, 2003. "On the production of victory: Empirical determinants of battlefield success in modern war," Defence and Peace Economics, Taylor & Francis Journals, vol. 14(3), pages 175-192.
  • Handle: RePEc:taf:defpea:v:14:y:2003:i:3:p:175-192
    DOI: 10.1080/1024269022000000868
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/1024269022000000868
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1024269022000000868?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dan Reiter & Allan C. Stam III, 1998. "Democracy and Battlefield Military Effectiveness," Journal of Conflict Resolution, Peace Science Society (International), vol. 42(3), pages 259-277, June.
    2. Reiter, Dan & Stam, Allan C., 1998. "Democracy, War Initiation, and Victory," American Political Science Review, Cambridge University Press, vol. 92(2), pages 377-389, June.
    3. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    4. Veall, Michael R & Zimmermann, Klaus F, 1996. "Pseudo-R-[superscript 2] Measures for Some Common Limited Dependent Variable Models," Journal of Economic Surveys, Wiley Blackwell, vol. 10(3), pages 241-259, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Martin Kolmar & Hendrik Rommeswinkel, 2020. "Group size and group success in conflicts," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 55(4), pages 777-822, December.
    2. Hao Jia & Stergios Skaperdas, 2011. "Technologies of Conflict," Working Papers 101111, University of California-Irvine, Department of Economics.
    3. Carsten Christensen & John Salmon, 2022. "An agent-based modeling approach for simulating the impact of small unmanned aircraft systems on future battlefields," The Journal of Defense Modeling and Simulation, , vol. 19(3), pages 481-500, July.
    4. Anderton,Charles H. & Carter,John R., 2009. "Principles of Conflict Economics," Cambridge Books, Cambridge University Press, number 9780521875578, December.
    5. Thomas Gries & Claus-Jochen Haake, 2016. "An Economic Theory of 'Destabilization War'," Working Papers CIE 95, Paderborn University, CIE Center for International Economics.
    6. Jia, Hao & Skaperdas, Stergios & Vaidya, Samarth, 2013. "Contest functions: Theoretical foundations and issues in estimation," International Journal of Industrial Organization, Elsevier, vol. 31(3), pages 211-222.
    7. Helmut Bester & Kai A. Konrad, 2005. "Easy Targets and the Timing of Conflict," Journal of Theoretical Politics, , vol. 17(2), pages 199-215, April.
    8. Steele, Brett D, 2014. "A rational calculus of war and peace: Applying the ROI objective function to military strategy," International Journal of Development and Conflict, Gokhale Institute of Politics and Economics, vol. 4(1), pages 1-34.
    9. Mildenberger, Carl David & Pietri, Antoine, 2018. "How does size matter for military success? Evidence from virtual worlds," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 137-155.
    10. Smith, Adam C. & Houser, Daniel & Leeson, Peter T. & Ostad, Ramin, 2014. "The costs of conflict," Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 61-71.
    11. repec:got:cegedp:21 is not listed on IDEAS
    12. Fanny Coulomb & John Paul Dunne, 2008. "Economics, conflict and war," Post-Print hal-02051663, HAL.
    13. J. Paul Dunne & María D.C. García-Alonso & Paul Levine & Ron P. Smith, 2006. "Managing asymmetric conflict," Oxford Economic Papers, Oxford University Press, vol. 58(2), pages 183-208, April.
    14. Kolmar, Martin, 2013. "Group Conflicts. Where do we stand?," Economics Working Paper Series 1331, University of St. Gallen, School of Economics and Political Science.
    15. Christopher K. Butler & Scott Gates, 2010. "The Technology of Terror: Accounting for the Strategic Use of Terrorism," Economics of Security Working Paper Series 30, DIW Berlin, German Institute for Economic Research.
    16. Chen Wang & Vicki M. Bier, 2016. "Quantifying Adversary Capabilities to Inform Defensive Resource Allocation," Risk Analysis, John Wiley & Sons, vol. 36(4), pages 756-775, April.
    17. Antoine Pietri, 2017. "Les modèles de « rivalité coercitive » dans l’analyse économique des conflits," Revue d'économie politique, Dalloz, vol. 127(3), pages 307-352.
    18. Gries, Thomas & Haake, Claus-Jochen, 2016. "An Economic Theory of 'Destabilization War' '- Compromise for Peace versus Conventional, Guerilla, or Terrorist Warfare," VfS Annual Conference 2016 (Augsburg): Demographic Change 145617, Verein für Socialpolitik / German Economic Association.
    19. Stephen Biddle & Stephen Long, 2004. "Democracy and Military Effectiveness," Journal of Conflict Resolution, Peace Science Society (International), vol. 48(4), pages 525-546, August.
    20. Sohn, Kitae, 2014. "The human capital of black soldiers during the American Civil War," Economics Letters, Elsevier, vol. 122(1), pages 40-43.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nakao, Keisuke, 2022. "Democratic Victory and War Duration: Why Are Democracies Less Likely to Win Long Wars?," MPRA Paper 112849, University Library of Munich, Germany.
    2. Biagio Simonetti & Pasquale Sarnacchiaro & M. Rosario González Rodríguez, 2017. "Goodness of fit measures for logistic regression model: an application for students’ evaluations of university teaching," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2545-2554, November.
    3. Gerdtham, Ulf-G. & Johannesson, Magnus, 1999. "New estimates of the demand for health: results based on a categorical health measure and Swedish micro data," Social Science & Medicine, Elsevier, vol. 49(10), pages 1325-1332, November.
    4. Selen CAKMAKYAPAN & Atilla GOKTAS, 2013. "A Comparison Of Binary Logit And Probit Models With A Simulation Study," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 2(1), pages 1-17, JULY.
    5. Ahn T. Le, 2003. "Female Labour Market Participation: Differences Between Primary and Tied Movers," Economics Discussion / Working Papers 03-17, The University of Western Australia, Department of Economics.
    6. Lovejoy, Kristin, 2012. "Mobility Fulfillment Among Low-car Households: Implications for Reducing Auto Dependence in the United States," Institute of Transportation Studies, Working Paper Series qt4v44b5qn, Institute of Transportation Studies, UC Davis.
    7. Michael Horowitz & Dan Reiter, 2001. "When Does Aerial Bombing Work?," Journal of Conflict Resolution, Peace Science Society (International), vol. 45(2), pages 147-173, April.
    8. Arturo Estrella & Anthony P. Rodrigues, 1998. "Consistent covariance matrix estimation in probit models with autocorrelated errors," Staff Reports 39, Federal Reserve Bank of New York.
    9. T.R.L. Fry & R.D. Brooks & Br. Comley & J. Zhang, 1993. "Economic Motivations for Limited Dependent and Qualitative Variable Models," The Economic Record, The Economic Society of Australia, vol. 69(2), pages 193-205, June.
    10. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    11. Maria Iacovou, 2002. "Class Size in the Early Years: Is Smaller Really Better?," Education Economics, Taylor & Francis Journals, vol. 10(3), pages 261-290.
    12. Erik Stam & Roy Thurik & Peter van der Zwan, 2010. "Entrepreneurial exit in real and imagined markets," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1109-1139, August.
    13. Patrick A. Puhani, 2000. "On the Identification of Relative Wage Rigidity Dynamics," William Davidson Institute Working Papers Series 343, William Davidson Institute at the University of Michigan.
    14. Haoying Wang & Guohui Wu, 2022. "Modeling discrete choices with large fine-scale spatial data: opportunities and challenges," Journal of Geographical Systems, Springer, vol. 24(3), pages 325-351, July.
    15. Y. Saks, 2016. "Socio-economic transitions on the labour market : a European benchmarking exercise," Economic Review, National Bank of Belgium, issue iii, pages 41-58, December.
    16. Kodila-Tedika, Oasis & Khalifa, Sherif, 2022. "State History and State Fragility in Sub-Saharan Africa," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 47(4), pages 39-53, December.
    17. Garcia, Philip & Hudson, Michael A. & Waller, Mark L., 1988. "The Pricing Efficiency of Agricultural Futures Markets: An Analysis of Previous Research Results," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 20(1), pages 119-130, July.
    18. William J. Dixon & Paul D. Senese, 2002. "Democracy, Disputes, and Negotiated Settlements," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(4), pages 547-571, August.
    19. Jacob Ausderan, 2018. "Reassessing the democratic advantage in interstate wars using k-adic datasets," Conflict Management and Peace Science, Peace Science Society (International), vol. 35(5), pages 451-473, September.
    20. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    More about this item

    Keywords

    Battlefield Success; Numerical Superiority; Leadership; Technical Progress; Military Technology; Military Production Function;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D29 - Microeconomics - - Production and Organizations - - - Other
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War
    • N40 - Economic History - - Government, War, Law, International Relations, and Regulation - - - General, International, or Comparative
    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:defpea:v:14:y:2003:i:3:p:175-192. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GDPE20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.