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The Impact of Supply Chains on Firm-Level Productivity

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  • Juan Camilo Serpa

    (Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada)

  • Harish Krishnan

    (Sauder School of Business, University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada)

Abstract

Firms in a vertical relationship are likely to affect each other’s productivity. Exactly how does productivity spill over across this type of relationship (i.e., through which mechanisms)? Additionally, how does the relative importance of these mechanisms depend on the structure of the supply chain? To answer these questions, we decompose the channels of upstream productivity spillovers—from customers to suppliers—by developing a structural econometric model on a sample of approximately 22,500 supply chain dyads. We find that the “endogenous channel” (i.e., the effect of the customer’s own productivity on the supplier’s productivity) is by far the most important source of spillovers. This is especially true if (i) the supplier has a concentrated customer base, (ii) the supplier and the customer have similar operational characteristics, and (iii) the relationship has medium maturity. In the converse scenarios, we find, it is more important to have a partner with a portfolio of favorable “contextual” characteristics (high inventory turnover, financial liquidity, and asset turnover) than to have a productive partner. The online appendix is available at https://doi.org/10.1287/mnsc.2016.2632 . This paper was accepted by Serguei Netessine, operations management.

Suggested Citation

  • Juan Camilo Serpa & Harish Krishnan, 2018. "The Impact of Supply Chains on Firm-Level Productivity," Management Science, INFORMS, vol. 64(2), pages 511-532, February.
  • Handle: RePEc:inm:ormnsc:v:64:y:2018:i:2:p:511-532
    DOI: mnsc.2016.2632
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    1. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    2. Marvin B. Lieberman & Lieven Demeester, 1999. "Inventory Reduction and Productivity Growth: Linkages in the Japanese Automotive Industry," Management Science, INFORMS, vol. 45(4), pages 466-485, April.
    3. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    4. Nitish Jain & Karan Girotra & Serguei Netessine, 2014. "Managing Global Sourcing: Inventory Performance," Management Science, INFORMS, vol. 60(5), pages 1202-1222, May.
    5. Lawrence E. Blume & William A. Brock & Steven N. Durlauf & Yannis M. Ioannides, 2010. "Identification of Social Interactions," Discussion Papers Series, Department of Economics, Tufts University 0754, Department of Economics, Tufts University.
    6. Amitabh Chandra & Amy Finkelstein & Adam Sacarny & Chad Syverson, 2016. "Health Care Exceptionalism? Performance and Allocation in the US Health Care Sector," American Economic Review, American Economic Association, vol. 106(8), pages 2110-2144, August.
    7. Paul Goldsmith-Pinkham & Guido W. Imbens, 2013. "Social Networks and the Identification of Peer Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 253-264, July.
    8. Yann Bramoullé & Bernard Fortin, 2009. "The Econometrics of Social Networks," Cahiers de recherche 0913, CIRPEE.
    9. Chad Syverson, 2004. "Product Substitutability and Productivity Dispersion," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 534-550, May.
    10. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    11. Vasco M Carvalho & Makoto Nirei & Yukiko U Saito & Alireza Tahbaz-Salehi, 0. "Supply Chain Disruptions: Evidence from the Great East Japan Earthquake," The Quarterly Journal of Economics, Oxford University Press, vol. 136(2), pages 1255-1321.
    12. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 681-704.
    13. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    14. Xavier Giroud, 2013. "Proximity and Investment: Evidence from Plant-Level Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 861-915.
    15. Ayşe İmrohoroğlu & Şelale Tüzel, 2014. "Firm-Level Productivity, Risk, and Return," Management Science, INFORMS, vol. 60(8), pages 2073-2090, August.
    16. Wolfgang Keller & Stephen R. Yeaple, 2009. "Multinational Enterprises, International Trade, and Productivity Growth: Firm-Level Evidence from the United States," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 821-831, November.
    17. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    18. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    19. Ryan Kellogg, 2011. "Learning by Drilling: Interfirm Learning and Relationship Persistence in the Texas Oilpatch," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1961-2004.
    20. Vishal Gaur & Marshall L. Fisher & Ananth Raman, 2005. "An Econometric Analysis of Inventory Turnover Performance in Retail Services," Management Science, INFORMS, vol. 51(2), pages 181-194, February.
    21. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    22. Chih‐Sheng Hsieh & Lung Fei Lee, 2016. "A Social Interactions Model with Endogenous Friendship Formation and Selectivity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 301-319, March.
    23. Lung-fei Lee, 2003. "Best Spatial Two-Stage Least Squares Estimators for a Spatial Autoregressive Model with Autoregressive Disturbances," Econometric Reviews, Taylor & Francis Journals, vol. 22(4), pages 307-335.
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