IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/24116.html
   My bibliography  Save this paper

Endogenous Production Networks

Author

Listed:
  • Daron Acemoglu
  • Pablo D. Azar

Abstract

We develop a tractable model of endogenous production networks. Each one of a number of products can be produced by combining labor and an endogenous subset of the other products as inputs. Different combinations of inputs generate (prespecified) levels of productivity. Markets are “contestable” in the sense that production technologies are available to a large number of potential producers. We establish the existence and uniqueness of an equilibrium with an endogenous production network and provide comparative static results on how prices and endogenous technology choices (and thus the production network) respond to changes in parameters. These results show that improvements in technology (or reductions in distortions) spread throughout the economy via input-output linkages and reduce all prices, and under reasonable restrictions on the menu of production technologies, also lead to a denser production network. Using a dynamic version of the model, we show that the endogenous evolution of the production network could be a powerful force towards sustained economic growth. At the root of this result is the fact that the arrival of a few new products expands the set of technological possibilities of all existing industries by a large amount — that is, if there are n products, the arrival of one more new product increases the combinations of inputs that each existing product can use from 2 n-1 to 2 n , thus enabling significantly more pronounced cost reductions from the choice of optimal technology combinations. These cost reductions then spread to other industries that benefit from lower input prices and are further incentivized to adopt additional inputs.

Suggested Citation

  • Daron Acemoglu & Pablo D. Azar, 2017. "Endogenous Production Networks," NBER Working Papers 24116, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24116
    Note: EFG
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w24116.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ufuk Akcigit & Murat Alp Celik & Jeremy Greenwood, 2016. "Buy, Keep, or Sell: Economic Growth and the Market for Ideas," Econometrica, Econometric Society, vol. 84, pages 943-984, May.
    2. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2017. "Microeconomic Origins of Macroeconomic Tail Risks," American Economic Review, American Economic Association, vol. 107(1), pages 54-108, January.
    3. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    4. Johannes Boehm & Ezra Oberfield, 2020. "Misallocation in the Market for Inputs: Enforcement and the Organization of Production," The Quarterly Journal of Economics, Oxford University Press, vol. 135(4), pages 2007-2058.
    5. Saki Bigio & Jennifer La’O, 2020. "Distortions in Production Networks," The Quarterly Journal of Economics, Oxford University Press, vol. 135(4), pages 2187-2253.
    6. Robert E. Lucas Jr. & Benjamin Moll, 2014. "Knowledge Growth and the Allocation of Time," Journal of Political Economy, University of Chicago Press, vol. 122(1), pages 1-51.
    7. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    8. Gene M. Grossman & Elhanan Helpman, 1991. "Quality Ladders in the Theory of Growth," Review of Economic Studies, Oxford University Press, vol. 58(1), pages 43-61.
    9. Eaton, Jonathan & Kortum, Samuel, 2001. "Technology, trade, and growth: A unified framework," European Economic Review, Elsevier, vol. 45(4-6), pages 742-755, May.
    10. Magne Mogstad & Emmanuel Dhyne & Ayumu Kikkawa & Felix Tintelnot, 2017. "Trade and Domestic Production Networks," 2017 Meeting Papers 381, Society for Economic Dynamics.
    11. Ghiglino, Christian, 2012. "Random walk to innovation: Why productivity follows a power law," Journal of Economic Theory, Elsevier, vol. 147(2), pages 713-737.
    12. Jonathan Eaton & Samuel Kortum & Francis Kramarz, 2011. "An Anatomy of International Trade: Evidence From French Firms," Econometrica, Econometric Society, vol. 79(5), pages 1453-1498, September.
    13. Robert E. Lucas, 2009. "Ideas and Growth," Economica, London School of Economics and Political Science, vol. 76(301), pages 1-19, February.
    14. Stanislao Gualdi & Antoine Mandel, 2019. "Endogenous growth in production networks," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 91-117, March.
    15. Saki Bigio, 2013. "Financial Frictions in Production Networks," 2013 Meeting Papers 121, Society for Economic Dynamics.
    16. Tor Jakob Klette & Samuel Kortum, 2004. "Innovating Firms and Aggregate Innovation," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 986-1018, October.
    17. Pol Antràs & Teresa C. Fort & Felix Tintelnot, 2017. "The Margins of Global Sourcing: Theory and Evidence from US Firms," American Economic Review, American Economic Association, vol. 107(9), pages 2514-2564, September.
    18. Martin L. Weitzman, 1998. "Recombinant Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 113(2), pages 331-360.
    19. Harald Fadinger & Christian Ghiglino & Mariya Teteryatnikova, 2015. "Income Differences and Input-Output Structure," Vienna Economics Papers 1510, University of Vienna, Department of Economics.
    20. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    21. Xavier Gabaix, 2011. "The Granular Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(3), pages 733-772, May.
    22. Auerswald, Philip & Kauffman, Stuart & Lobo, Jose & Shell, Karl, 2000. "The production recipes approach to modeling technological innovation: An application to learning by doing," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 389-450, March.
    23. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
    24. David Rezza Baqaee, 2018. "Cascading Failures in Production Networks," Econometrica, Econometric Society, vol. 86(5), pages 1819-1838, September.
    25. David Rezza Baqaee & Emmanuel Farhi, 2019. "The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem," Econometrica, Econometric Society, vol. 87(4), pages 1155-1203, July.
    26. Jesse Perla & Christopher Tonetti, 2014. "Equilibrium Imitation and Growth," Journal of Political Economy, University of Chicago Press, vol. 122(1), pages 52-76.
    27. Charles R. Hulten, 1978. "Growth Accounting with Intermediate Inputs," Review of Economic Studies, Oxford University Press, vol. 45(3), pages 511-518.
    28. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    29. John Kennan, 2001. "Uniqueness of Positive Fixed Points for Increasing Concave Functions on Rn: An Elementary Result," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(4), pages 893-899, October.
    30. Dominick Bartelme & Yuriy Gorodnichenko, 2015. "Linkages and Economic Development," NBER Working Papers 21251, National Bureau of Economic Research, Inc.
    31. Mathieu Taschereau-Dumouchel, 2017. "Cascades and Fluctuations in an Economy with an Endogenous Production Network," 2017 Meeting Papers 700, Society for Economic Dynamics.
    32. repec:fth:bosecd:110 is not listed on IDEAS
    33. Charles I. Jones, 2011. "Intermediate Goods and Weak Links in the Theory of Economic Development," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(2), pages 1-28, April.
    Full references (including those not matched with items on IDEAS)

    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. Dong, Feng & Wen, Yi, 2019. "Long and Plosser meet Bewley and Lucas," Journal of Monetary Economics, Elsevier, vol. 102(C), pages 70-92.
    2. David Rezza Baqaee & Emmanuel Farhi, 2019. "The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem," Econometrica, Econometric Society, vol. 87(4), pages 1155-1203, July.
    3. Ernesto Pasten & Raphael S. Schoenle & Michael Weber & Michael Weber, 2017. "Price Rigidities and the Granular Origins of Aggregate Fluctuations," CESifo Working Paper Series 6619, CESifo.
    4. Ayumu Ken Kikkawa & Glenn Magerman & Emmanuel Dhyne, 2019. "Imperfect competition in firm-to-firm trade," Working Paper Research 363, National Bank of Belgium.
    5. David Rezza Baqaee & Emmanuel Farhi, 2020. "Productivity and Misallocation in General Equilibrium," The Quarterly Journal of Economics, Oxford University Press, vol. 135(1), pages 105-163.
    6. Ernesto Pasten & Raphael Schoenle & Michael Weber, 2017. "Price Rigidity and the Origins of Aggregate Fluctuations," NBER Working Papers 23750, National Bureau of Economic Research, Inc.
    7. David Rezza Baqaee, 2018. "Cascading Failures in Production Networks," Econometrica, Econometric Society, vol. 86(5), pages 1819-1838, September.
    8. David Rezza Baqaee & Emmanuel Farhi, 2018. "Macroeconomics with Heterogeneous Agents and Input-Output Networks," NBER Working Papers 24684, National Bureau of Economic Research, Inc.
    9. Michael Weber & Ali Ozdagli, 2016. "Monetary Policy Through Production Networks: Evidence from the Stock Market," 2016 Meeting Papers 148, Society for Economic Dynamics.
    10. Gabrovski, Miroslav, 2017. "Coordination Frictions and Economic Growth," MPRA Paper 81298, University Library of Munich, Germany, revised 17 Jul 2017.
    11. Magne Mogstad & Emmanuel Dhyne & Ayumu Kikkawa & Felix Tintelnot, 2017. "Trade and Domestic Production Networks," 2017 Meeting Papers 381, Society for Economic Dynamics.
    12. Nancy L Stokey, 2017. "Technology, Skill and Long Run Growth," 2017 Meeting Papers 199, Society for Economic Dynamics.
    13. Johannes Boehm & Ezra Oberfield, 2020. "Misallocation in the Market for Inputs: Enforcement and the Organization of Production," The Quarterly Journal of Economics, Oxford University Press, vol. 135(4), pages 2007-2058.
    14. Jones, C.I., 2016. "The Facts of Economic Growth," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 3-69, Elsevier.
    15. Jorge Miranda Pinto, 2021. "Production Network Structure, Service Share, and Aggregate Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 146-173, January.
    16. Everett Grant & Julieta Yung, 2019. "Upstream, Downstream & Common Firm Shocks," Globalization Institute Working Papers 360, Federal Reserve Bank of Dallas.
    17. Yoshiyuki ARATA, 2020. "The Role of Granularity in the Variance and Tail Probability of Aggregate Output," Discussion papers 20027, Research Institute of Economy, Trade and Industry (RIETI).
    18. Michael Weber & Ali Ozdagli, 2016. "Monetary Policy Through Production Networks: Evidence from the Stock Market," 2016 Meeting Papers 148, Society for Economic Dynamics.
    19. Lo Turco, Alessia & Maggioni, Daniela & Zazzaro, Alberto, 2019. "Financial dependence and growth: The role of input-output linkages," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 308-328.
    20. Vasco M. Carvalho & Alireza Tahbaz-Salehi, 2019. "Production Networks: A Primer," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 635-663, August.

    More about this item

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:24116. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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: (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.