How does warfare affect firms' productivity?
Corresponding Author
Andres F. Jola-Sanchez
Mays Business School, Texas A&M University, College Station, Texas, USA
Correspondence
Andres F. Jola-Sanchez, Mays Business School, Texas A, and M University, College Station, TX, 77843, USA.
Email: [email protected]
Search for more papers by this authorCorresponding Author
Andres F. Jola-Sanchez
Mays Business School, Texas A&M University, College Station, Texas, USA
Correspondence
Andres F. Jola-Sanchez, Mays Business School, Texas A, and M University, College Station, TX, 77843, USA.
Email: [email protected]
Search for more papers by this authorHandling editor: Aleda Roth
Accepted by Aleda Roth, after 4 revisions.
Abstract
Warfare afflicts millions and creates unparalleled operational challenges in the developing world. With data from war-torn Colombia, I examine the effects of civil war on firms' total factor productivity (TFP) using propensity score and conflict hotspot models. I find that warfare increases TFP in service firms, such as public administration and defense, by up to 12.68%, whereas it decreases TFP in manufacturing and other nonservice companies by up to 3.64% a year after a violent episode occurs. This effect stems from intellectual capital growth and service firms' ability to create value from customer input.
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REFERENCES
- Ackerberg, D. A., Caves, K., & Frazer, G. (2015). Identification properties of recent production function estimators. Econometrica, 83(6), 2411–2451.
- Assenova, V. A., & Sorenson, O. (2017). Legitimacy and the benefits of firm formalization. Organization Science, 28(5), 804–818.
- Bakshi, N., & Gans, N. (2010). Securing the containerized supply chain: Analysis of government incentives for private investment. Management Science, 56(2), 219–233.
- Balasubramanian, N. (2011). New plant venture performance differences among incumbent, diversifying, and entrepreneurial firms: The impact of industry learning intensity. Management Science, 57(3), 549–565.
- Banker, R., Huang, R., Li, Y., & Zhao, S. (2021). Do accounting standards matter for productivity? Production and Operations Management, 30(1), 68–84.
- Bartel, A., Ichniowski, C., & Shaw, K. (2007). How does information technology affect productivity? Plant-level comparisons of product innovation, process improvement, and worker skills. The Quarterly Journal of Economics, 122(4), 1721–1758.
- Batt, R. J., Kc, D. S., Staats, B. R., & Patterson, B. W. (2019). The effects of discrete work shifts on a nonterminating service system. Production and Operations Management, 28(6), 1528–1544.
- Bloom, N., & Van Reenen, J. (2007). Measuring and explaining management practices across firms and countries. The Quarterly Journal of Economics, 122(4), 1351–1408.
- Brynjolfsson, E., McAfee, A., Sorell, M., & Zhu, F. (2008). Scale without mass: Business process replication and industry dynamics. [Working paper 07-016], Harvard Business School Technology & Operations Management Unit. http://doi.org/10.2139/ssrn.980568
10.2139/ssrn.980568 Google Scholar
- Cai, X., Gong, J., Lu, Y., & Zhong, S. (2017). Recover overnight? Work interruption and worker productivity. Management Science, 64(8), 3489–3500.
- Camacho, A., & Rodriguez, C. (2013). Firm exit and armed conflict in Colombia. Journal of Conflict Resolution, 57(1), 89–116.
- Col, B., Durnev, A., & Molchanov, A. (2018). Foreign risk, domestic problem: Capital allocation and firm performance under political instability. Management Science, 64(5), 2102–2125.
- Collier, P. (1999). On the economic consequences of civil war. Oxford Economic Papers, 51(1), 168–183.
- Collier, P., & Hoeffler, A. (2002). On the incidence of civil war in Africa. Journal of Conflict Resolution, 46(1), 13–28.
- Collier, P., Elliott, V. L., Hegre, H., Hoeffler, A., Reynal-Querol, M., Sambanis, N. (2003). Breaking the conflict trap: Civil war and development policy. World Bank.
- Dong, Y., Chung, M., Zhou, C., & Venkataraman, S. (2019). Banking on “mobile money”: The implications of mobile money services on the value chain. Manufacturing & Service Operations Management, 21(2), 251–477.
- Dube, O., & Vargas, J. F. (2013). Commodity price shocks and civil conflict: Evidence from Colombia. The Review of Economic Studies, 80(4), 1384–1421.
- Fearon, J. D. (2005). Primary commodity exports and civil war. Journal of Conflict Resolution, 49(4), 483–507.
- Fearon, J. D., & Laitin, D. D. (2003). Ethnicity, insurgency, and civil war. American Political Science Review, 97(1), 75–90.
- Fitzgerald, J., Gottschalk, P., & Moffitt, R. A. (1998). An analysis of sample attrition in panel data: The Michigan panel study of income dynamics. The Journal of Human Resources, 33(2), 251–299.
- Froehle, C. M., & Roth, A. V. (2004). New measurement scales for evaluating perceptions of the technology-mediated customer service experience. Journal of Operations Management, 22(1), 1–21.
- Gleditsch, K. S., Metternich, N. W., & Ruggeri, A. (2014). Data and progress in peace and conflict research. Journal of Peace Research, 51(2), 301–314.
- González, M. A., & Lopez, R. A. (2007). Political violence and farm household efficiency in Colombia. Economic Development and Cultural Change, 55(2), 367–392.
- Goodhand, J. (2000). Research in conflict zones: Ethics and accountability. Forced Migration Review, 8(4), 12–16.
- Gray, J. V., Roth, A. V., & Leiblein, M. J. (2011). Quality risk in offshore manufacturing: Evidence from the pharmaceutical industry. Journal of Operations Management, 29(7–8), 737–752.
- Grindley, P. C., & Teece, D. J. (1997). Managing intellectual capital: Licensing and cross-licensing in semiconductors and electronics. California Management Review, 39(2), 8–41.
- Guo, S., & Fraser, M. W. (2014). Propensity score analysis: Statistical methods and applications. Advanced quantitative techniques in the social sciences, (Vol. 11), Sage.
- Gustavsson, L. (2003). Humanitarian logistics: Context and challenges. Forced Migration Review, 18, 6–8.
- Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica, 47(1), 153–161.
- Humphreys, M. (2003). Economics and violent conflict. Harvard University.
- Ilmakunnas, P., Maliranta, M., & Vainiomäki, J. (2004). The roles of employer and employee characteristics for plant productivity. Journal of Productivity Analysis, 21(3), 249–276.
- İmrohoroğlu, A., & Tüzel, Ş. (2014). Firm-level productivity, risk, and return. Management Science, 60(8), 2073–2090.
- Institute for Economics & Peace (2021). Economic value of peace 2021: Measuring the global economic impact of violence and conflict. https://www.visionofhumanity.org/wp-content/uploads/2021/01/EVP-2021-web.pdf
- Johnson, D. D., Price, M. E., & Van Vugt, M. (2013). Darwin's invisible hand: Market competition, evolution and the firm. Journal of Economic Behavior & Organization, 90, S128–S140.
- Jola-Sanchez, A. F., Pedraza-Martinez, A. J., Bretthauer, K. M., & Britto, R. A. (2016). Effect of armed conflicts on humanitarian operations: Total factor productivity and efficiency of rural hospitals. Journal of Operations Management, 45, 73–85.
- Jola-Sanchez, A. F., & Serpa, J. C. (2021). Inventory in times of war. Management Science, 67(10), 6457–6479.
- Kaatrud, D. B., Samii, R., & Van Wassenhove, L. N. (2003). Un joint logistics centre: A coordinated response to common humanitarian logistics concerns. Forced Migration Review, 18, 11–14.
- Kalyvas, S. N. (2006). The logic of violence in civil war. Cambridge University Press.
- Karmarkar, U. S., & Pitbladdo, R. (1995). Service markets and competition. Journal of Operations Management, 12(3-4), 397–411.
10.1016/0272-6963(94)00014-6 Google Scholar
- Krausz, M. (1993). Reviewed work: On the move: The psychology of change and transition. Journal of Organizational Behavior, 14(7), 701–703.
- Lapré, M. A., & Nembhard, I. M. (2011). Inside the organizational learning curve: Understanding the organizational learning process. Foundations and Trends® in Technology, Information and Operations Management, 4(1), 1–103.
10.1561/0200000023 Google Scholar
- Lapré, M. A., & Van Wassenhove, L. N. (2001). Creating and transferring knowledge for productivity improvement in factories. Management Science, 47(10), 1311–1325.
- Lee, J. Y., Swink, M., & Pandejpong, T. (2011). The roles of worker expertise, information sharing quality, and psychological safety in manufacturing process innovation: An intellectual capital perspective. Production and Operations Management, 20(4), 556–570.
- Levinsohn, J., & Petrin, A. (2003). Estimating production functions using inputs to control for unobservables. The Review of Economic Studies, 70(2), 317–341.
- Lukongo, O. E., & Rezek, J. P. (2018). Investigating spatial dependence and spatial spillovers in African agricultural total factor productivity growth. The American Economist, 63(1), 41–58.
10.1177/0569434516672769 Google Scholar
- Lülf, C. (2013). Modern technologies and targeting under international humanitarian law. [Working Paper]. Ruhr-Universität Bochum, Institut für Friedenssicherungsrecht und Humanitäres Völkerrecht, 3(3).
- McDougal, T. L. (2010). How production firms adapt to war: The case of Liberia. [Technical report]. World Institute for Development Economics Research.
- Natividad, G. (2014). Integration and productivity: Satellite-tracked evidence. Management Science, 60(7), 1698–1718.
- Nelson, A. (2019). The effect of a major customer's information quality on its supplier's investment decisions. SSRN Working paper 3467796. http://doi.org/10.2139/ssrn.3467796
10.2139/ssrn.3467796 Google Scholar
- Olley, G. S., & Pakes, A. (1996). The dynamics of productivity in the telecommunications equipment. Econometrica, 64(6), 1263–1297.
- Radhakrishnan, S., Wang, Z., & Zhang, Y. (2014). Customers' capital market information quality and suppliers' performance. Production and Operations Management, 23(10), 1690–1705.
- Restrepo, J. A., Spagat, M., & Vargas, J. F. (2006). Special data feature; the severity of the Colombian conflict: Cross-country datasets versus new micro-data. Journal of Peace Research, 43(1), 99–115.
- Rettberg, A. (2002). Managing adversity: Firms' response to the Colombian conflict. (Original in spanish). Administrando la adversidad: Respuestas empresariales al conflicto colombiano. Colombia Internacional, 55, 37–54.
10.7440/colombiaint55.2002.02 Google Scholar
- Sampson, S. E. (2001). Understanding service business. John Wiley & Sons.
- Sampson, S. E., & Froehle, C. M. (2006). Foundations and implications of a proposed unified services theory. Production and Operations Management, 15(2), 329–343.
- Serpa, J. C., & Krishnan, H. (2018). The impact of supply chains on firm-level productivity. Management Science, 64(2), 511–532.
- Solow, R. M. (1957). Technical change and the aggregate production function. The Review of Economics and Statistics, 39(3), 312–320.
- Song, P., Wang, Q., Liu, H., & Li, Q. (2020). The value of buy-online-and-pickup-in-store in omni-channel: Evidence from customer usage data. Production and Operations Management, 29(4), 995–1010.
- Syverson, C. (2011). What determines productivity? Journal of Economic Literature, 49(2), 326–65.
- The World Bank (2020). Fragility, conflict & violence. https://www.worldbank.org/en/topic/fragilityconflictviolence/overview
- UCDP (2020). UCDP definitions. https://www.pcr.uu.se/research/ucdp/definitions/#Ceasefire_agreements
- United Nations (2015). Transforming our world: the 2030 Agenda for Sustainable Development. https://sdgs.un.org/2030agenda
- Van Beveren, I. (2012). Total factor productivity estimation: A practical review. Journal of Economic Surveys, 26(1), 98–128.
- Vargo, S. L., & Lusch, R. F. (2004). The four service marketing myths: remnants of a goods-based, manufacturing model. Journal of Service Research, 6(4), 324–335.
10.1177/1094670503262946 Google Scholar
- Vincenty, T. (1975). Direct and inverse solutions of geodesics on the ellipsoid with application of nested equations. Survey Review, 23(176), 88–93.
10.1179/sre.1975.23.176.88 Google Scholar
- Wieloch, R. (2003). The humanitarian use of the military. Forced Migration Review, 18, 32–33.
- Zhuang, J., & Bier, V. M. (2007). Balancing terrorism and natural disasters—defensive strategy with endogenous attacker effort. Operations Research, 55(5), 976–991.
- Zou, F., Dong, Y., Hu, K., & Venkataraman, S. (2020). Delegation with technology migration: An empirical analysis of mobile virtual network operators. SSRN Working paper. http://doi.org/10.2139/ssrn.3560728
10.2139/ssrn.3560728 Google Scholar