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Linkages and Economic Development

Author

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  • Dominick Bartelme
  • Yuriy Gorodnichenko

Abstract

Specialization is a powerful source of productivity gains, but how production networks at the industry level are related to aggregate productivity in the data is an open question. We construct a database of input-output tables covering a broad spectrum of countries and times, develop a theoretical framework to derive an econometric specification, and document a strong and robust relationship between the strength of industry linkages and aggregate productivity. We then calibrate a multisector neoclassical model and use alternative identification assumptions to extract an industry-level measure of distortions in intermediate input choices. We compute the aggregate losses from these distortions for each country in our sample and find that they are quantitatively consistent with the relationship between industry linkages and aggregate productivity in the data. Our estimates imply that the TFP gains from eliminating these distortions are modest but significant, averaging roughly 10% for middle and low income countries.

Suggested Citation

  • Dominick Bartelme & Yuriy Gorodnichenko, 2015. "Linkages and Economic Development," NBER Working Papers 21251, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:21251
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    References listed on IDEAS

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    1. Yuriy Gorodnichenko & Jan Svejnar & Katherine Terrell, 2010. "Globalization and Innovation in Emerging Markets," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 194-226, April.
    2. repec:aea:aejmac:v:9:y:2017:i:4:p:254-80 is not listed on IDEAS
    3. Nitya Pandalai Nayar & Aaron Flaaen & Christoph Boehm, 2015. "Input Linkages and the Transmission of Shocks: Firm-Level Evidence from the 2011 Tohoku Earthquake," 2015 Meeting Papers 383, Society for Economic Dynamics.
    4. Restuccia, Diego & Yang, Dennis Tao & Zhu, Xiaodong, 2008. "Agriculture and aggregate productivity: A quantitative cross-country analysis," Journal of Monetary Economics, Elsevier, vol. 55(2), pages 234-250, March.
    5. Johannes Boehm, 2014. "The Impact of Contract Enforcement Costs on Outsourcing and Aggregate Productivity," 2014 Meeting Papers 340, Society for Economic Dynamics.
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    7. 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.
    8. Ezra Oberfield, 2011. "Business networks, production chains and productivity: A theory of input-output architecture," Working Paper Series WP-2011-12, Federal Reserve Bank of Chicago.
    9. Joaquin Blaum & Claire LeLarge & Michael Peters, 2015. "The Gains from Input Trade in Firm-Based Models of Importing," NBER Working Papers 21504, National Bureau of Economic Research, Inc.
    10. Mike Waugh & David Lagakos & Doug Gollin, 2011. "The Agricultural Productivity Gap in Developing Countries," 2011 Meeting Papers 1397, Society for Economic Dynamics.
    11. Harald Fadinger & Christian Ghiglino & Mariya Teteryatnikova, 2015. "Productivity, Networks and Input-Output Structure," 2015 Meeting Papers 624, Society for Economic Dynamics.
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    14. Daley, Lane & Mehrotra, Vikas & Sivakumar, Ranjini, 1997. "Corporate focus and value creation Evidence from spinoffs," Journal of Financial Economics, Elsevier, vol. 45(2), pages 257-281, August.
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    Citations

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    Cited by:

    1. Johannes Boehm, 2014. "The Impact of Contract Enforcement Costs on Outsourcing and Aggregate Productivity," 2014 Meeting Papers 340, Society for Economic Dynamics.
    2. David Baqaee & Emmanuel Farhi, 2017. "The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem," Working Paper 482151, Harvard University OpenScholar.
    3. Boehm, Johannes, 2015. "The impact of contract enforcement costs on outsourcing and aggregate productivity," LSE Research Online Documents on Economics 86281, London School of Economics and Political Science, LSE Library.
    4. Franco, Chiara & Sanfilippo, Marco & Seric, Adnan, 2015. "What makes linkages "good" linkages? Firms, the investment climate and business support services in Vietnam," IOB Working Papers 2015.09, Universiteit Antwerpen, Institute of Development Policy (IOB).
    5. David Rezza Baqaee & Emmanuel Farhi, 2017. "Productivity and Misallocation in General Equilibrium," NBER Working Papers 24007, National Bureau of Economic Research, Inc.
    6. Growiec, Jakub & McAdam, Peter & Mućk, Jakub, 2018. "Endogenous labor share cycles: Theory and evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 74-93.
    7. Melissa Dell & Benjamin A. Olken, 2017. "The Development Effects of the Extractive Colonial Economy: The Dutch Cultivation System in Java," NBER Working Papers 24009, National Bureau of Economic Research, Inc.
    8. Harald Fadinger & Christian Ghiglino & Mariya Teteryatnikova, 2015. "Productivity, Networks and Input-Output Structure," 2015 Meeting Papers 624, Society for Economic Dynamics.
    9. Lorenzo Caliendo & Fernando Parro & Aleh Tsyvinski, 2017. "Distortions and the Structure of the World Economy," NBER Working Papers 23332, National Bureau of Economic Research, Inc.
    10. Daron Acemoglu & Pablo D. Azar, 2017. "Endogenous Production Networks," NBER Working Papers 24116, National Bureau of Economic Research, Inc.
    11. repec:eee:ecolet:v:162:y:2018:i:c:p:81-85 is not listed on IDEAS
    12. Dungey, Mardi & Volkov, Vladimir, 2018. "R&D and wholesale trade are critical to the economy: Identifying dominant sectors from economic networks," Economics Letters, Elsevier, vol. 162(C), pages 81-85.
    13. Harald Fadinger & Christian Ghiglino & Mariya Teteryatnikova, 2015. "Income Differences and Input-Output Structure," Vienna Economics Papers 1510, University of Vienna, Department of Economics.
    14. Levent Celik & Bilgehan Karabay & John McLaren, 2018. "Fast-Track Authority: A Hold-Up Interpretation," NBER Working Papers 24427, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • 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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