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The Economic Costs of Hybrid Wars: The Case of Ukraine

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  • Julia Bluszcz
  • Marica Valente

Abstract

With more than ten thousand casualties, the ongoing hybrid Ukrainian war between pro-Russian separatists and the government in the Donbass region, Ukraine’s productive core, has taken a severe toll on the country. Using cross-country panel data over the period 1995–2017, this paper estimates the causal effects of the Donbass war on Ukraine’s GDP. Our counterfactual estimation by the synthetic control method shows that Ukraine’s per capita GDP foregone due to the war amounts to 15.1% on average for 2013–2017. Separate analysis for the affected regions of Donetsk and Luhansk indicates an average causal effect of 47% for 2013–2016. Results are robust to pre-war confounds, namely, the Orange Revolution and Ukrainian-Russian gas disputes. As such, we discuss mechanisms underlying the war’s causal effects on economic performance, which is of broader relevance for debates on the role of government in hybrid conflict management.

Suggested Citation

  • Julia Bluszcz & Marica Valente, 2022. "The Economic Costs of Hybrid Wars: The Case of Ukraine," Defence and Peace Economics, Taylor & Francis Journals, vol. 33(1), pages 1-25, January.
  • Handle: RePEc:taf:defpea:v:33:y:2022:i:1:p:1-25
    DOI: 10.1080/10242694.2020.1791616
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    1. Stefano Costalli & Luigi Moretti & Costantino Pischedda, 2017. "The economic costs of civil war," Journal of Peace Research, Peace Research Institute Oslo, vol. 54(1), pages 80-98, January.
    2. Drezner,Daniel W., 1999. "The Sanctions Paradox," Cambridge Books, Cambridge University Press, number 9780521644150, September.
    3. Jianfei Cao & Connor Dowd, 2019. "Estimation and Inference for Synthetic Control Methods with Spillover Effects," Papers 1902.07343, arXiv.org, revised Nov 2019.
    4. Rémy Herrera & Eleonora Gentilucci, 2013. "Military Spending, Technical Progress and Economic Growth: A Critical Overview on Mainstream Defense," Post-Print halshs-00853578, HAL.
    5. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    6. Olaf J. de Groot & Tilman Brück & Carlos Bozzoli, 2009. "How Many Bucks in a Bang: On the Estimation of the Economic Costs of Conflict," Discussion Papers of DIW Berlin 948, DIW Berlin, German Institute for Economic Research.
    7. Stergios Skaperdas, 2011. "The costs of organized violence: a review of the evidence," Economics of Governance, Springer, vol. 12(1), pages 1-23, March.
    8. Rémy Herrera & Eleonora Gentilucci, 2013. "Military spending, technical progress, and economic growth: a critical overview on mainstream defense economics," Journal of Innovation Economics, De Boeck Université, vol. 0(2), pages 13-35.
    9. Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013. "Panel data models with multiple time-varying individual effects," Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
    10. Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 535-551, July.
    11. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2011. "Synth: An R Package for Synthetic Control Methods in Comparative Case Studies," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i13).
    12. Stefano Costalli & Luigi Moretti & Costantino Pischedda, 2014. "The Economic Costs of Civil War: Synthetic Counterfactual Evidence and the Effects of Ethnic Fractionalization," HiCN Working Papers 184, Households in Conflict Network.
    13. Artem Kochnev, 2019. "Dying Light: War and Trade of the Separatist-Controlled Areas of Ukraine," wiiw Working Papers 161, The Vienna Institute for International Economic Studies, wiiw.
    14. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    15. Keynes, John Maynard, 1919. "The Economic Consequences of the Peace," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, number keynes1919.
    16. Arunatilake, Nisha & Jayasuriya, Sisira & Kelegama, Saman, 2001. "The Economic Cost of the War in Sri Lanka," World Development, Elsevier, vol. 29(9), pages 1483-1500, September.
    17. Drezner,Daniel W., 1999. "The Sanctions Paradox," Cambridge Books, Cambridge University Press, number 9780521643320, September.
    18. Sajjad Faraji Dizaji & Peter A G van Bergeijk, 2013. "Potential early phase success and ultimate failure of economic sanctions," Journal of Peace Research, Peace Research Institute Oslo, vol. 50(6), pages 721-736, November.
    19. Ron P Smith, 2014. "The economic costs of military conflict," Journal of Peace Research, Peace Research Institute Oslo, vol. 51(2), pages 245-256, March.
    20. Ferman, Bruno & Pinto, Cristine, 2017. "Placebo Tests for Synthetic Controls," MPRA Paper 78079, University Library of Munich, Germany.
    21. Horiuchi, Yusaku & Mayerson, Asher, 2015. "The Opportunity Cost of Conflict: Statistically Comparing Israel and Synthetic Israel," Political Science Research and Methods, Cambridge University Press, vol. 3(3), pages 609-618, September.
    22. Firpo Sergio & Possebom Vitor, 2018. "Synthetic Control Method: Inference, Sensitivity Analysis and Confidence Sets," Journal of Causal Inference, De Gruyter, vol. 6(2), pages 1-26, September.
    23. Linda Bilmes, 2006. "The Economic Costs of the Iraq War: An Appraisal Three Years After the Beginning of the Conflict," Working Papers id:387, eSocialSciences.
    24. Francesco Giumelli, 2017. "The Redistributive Impact of Restrictive Measures on EU Members: Winners and Losers from Imposing Sanctions on Russia," Journal of Common Market Studies, Wiley Blackwell, vol. 55(5), pages 1062-1080, September.
    25. Walter Enders (ed.), 2016. "The Economics of Terrorism," Books, Edward Elgar Publishing, number 16138.
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    Cited by:

    1. Blaž Frešer, 2022. "Multidimensional Model of High-Growth Companies: Do COVID-19 and the Ukraine–Russia Crisis Lead to Differences?," Sustainability, MDPI, vol. 14(22), pages 1-25, November.
    2. David Audretsch & Paul P. Momtaz & Hanna Motuzenko & Silvio Vismara, 2023. "The Economic Costs of the Russia-Ukraine War: A Synthetic Control Study of (Lost) Entrepreneurship," Papers 2303.02773, arXiv.org.
    3. Aleksandar Kešeljević & Rok Spruk, 2024. "Estimating the effects of Syrian civil war," Empirical Economics, Springer, vol. 66(2), pages 671-703, February.
    4. Haddoud, Mohamed Yacine & Nowinski, Witold & Onjewu, Adah-Kole Emmanuel & Souleh, Samah & Elbaz, Ahmed Mohamed, 2024. "Perceived Corruption, entrepreneurial exposure and entrepreneurial career Intention: Evidence from five emerging countries," Journal of Business Research, Elsevier, vol. 174(C).
    5. David B. Audretsch & Paul P. Momtaz & Hanna Motuzenko & Silvio Vismara, 2023. "War and Entrepreneurship: A Synthetic Control Study of the Russia-Ukraine Conflict," CESifo Working Paper Series 10466, CESifo.
    6. Daria Suprunenko, 2024. "Ukrainian export and production after the 2014 Russia shock," IEER Working Papers 124, Institute of Empirical Economic Research, Osnabrueck University.

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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • F5 - International Economics - - International Relations, National Security, and International Political Economy
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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