Endogenous Production Networks

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.

[1]  E. Farhi,et al.  Productivity and Misallocation in General Equilibrium , 2017, The Quarterly Journal of Economics.

[2]  Robert E. Lucas,et al.  Knowledge Growth and the Allocation of Time , 2011, Journal of Political Economy.

[3]  Hong Kong,et al.  Industrial Policies and Economic Development , 2013 .

[4]  Christian Ghiglino,et al.  Random walk to innovation: Why productivity follows a power law , 2012, J. Econ. Theory.

[5]  John Kennan,et al.  Uniqueness of Positive Fixed Points for Increasing Concave Functions on Rn: An Elementary Result , 2001 .

[6]  D. McFadden Conditional logit analysis of qualitative choice behavior , 1972 .

[7]  Ellen R. McGrattan,et al.  Real business cycles , 2006 .

[8]  X. Gabaix The Granular Origins of Aggregate Fluctuations , 2009 .

[9]  D. Gale,et al.  The Jacobian matrix and global univalence of mappings , 1965 .

[10]  Jonathan Eaton,et al.  Technology, trade, and growth: A unified framework , 2001 .

[11]  C. Hulten Growth Accounting with Intermediate Inputs , 1978 .

[12]  Ezra Oberfield,et al.  Misallocation in the Market for Inputs: Enforcement and the Organization of Production , 2018, The Quarterly Journal of Economics.

[13]  E. Dhyne,et al.  Trade and Domestic Production Networks , 2018, The Review of Economic Studies.

[14]  Jennifer La'O,et al.  Financial Frictions in Production Networks , 2016 .

[15]  Mathieu Taschereau-Dumouchel,et al.  Cascades and Fluctuations in an Economy with an Endogenous Production Network , 2017, SSRN Electronic Journal.

[16]  L. Kaldor The World Economic Outlook , 1983 .

[17]  Ezra Oberfield,et al.  A Theory of Input–Output Architecture , 2018 .

[18]  Dominick Bartelme,et al.  Linkages and Economic Development , 2015 .

[19]  Brigitte Maier,et al.  Supermodularity And Complementarity , 2016 .

[20]  Jesse Perla,et al.  Equilibrium Imitation and Growth , 2014, Journal of Political Economy.

[21]  Philip E. Auerswald,et al.  The Production Recipes Approach to Modeling Technological Innovation: An Application to Learning by Doing , 1998 .

[22]  Aleh Tsyvinski,et al.  Distortions and the Structure of the World Economy , 2017, American Economic Journal: Macroeconomics.

[23]  G. Grossman,et al.  Quality Ladders in the Theory of Growth , 1989 .

[24]  P. Romer Endogenous Technological Change , 1989, Journal of Political Economy.

[25]  M. Weitzman,et al.  Recombinant Growth , 2009 .

[26]  Vasco M. Carvalho,et al.  The Network Origins of Aggregate Fluctuations , 2011 .

[27]  C. Ghiglino,et al.  Income Differences and Input-Output Structure , 2015 .

[28]  R. Lucas,et al.  Ideas and Growth , 2008 .

[29]  Charles I. Jones,et al.  R & D-Based Models of Economic Growth , 1995, Journal of Political Economy.

[30]  Herbert A. Simon,et al.  Note: Some Conditions of Macroeconomic Stability , 1949 .

[31]  Charles I. Jones,et al.  Intermediate Goods and Weak Links in the Theory of Economic Development , 2011 .

[32]  Antoine Mandel,et al.  Endogenous growth in production networks , 2018 .

[33]  O. H. Brownlee,et al.  ACTIVITY ANALYSIS OF PRODUCTION AND ALLOCATION , 1952 .

[34]  F. Tintelnot,et al.  The Margins of Global Sourcing: Theory and Evidence from U.S. Firms , 2014 .

[35]  K. Lim Firm-to-firm Trade in Sticky Production Networks , 2017 .

[36]  Vasco M. Carvalho,et al.  NBER WORKING PAPER SERIES THE MACROECONOMIC IMPACT OF MICROECONOMIC SHOCKS: BEYOND HULTEN'S THEOREM , 2018 .

[37]  David Rezza Baqaee,et al.  Cascading Failures in Production Networks , 2016 .

[38]  G. Grossman,et al.  Innovation and growth in the global economy , 1993 .

[39]  Alireza Tahbaz-Salehi,et al.  Microeconomic Origins of Macroeconomic Tail Risks , 2014 .

[40]  Jan Eeckhout,et al.  The Rise of Market Power and the Macroeconomic Implications* , 2020, The Quarterly Journal of Economics.