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The impact of 3D printing on trade and FDI

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  • Abeliansky, Ana Lucia
  • Martinez-Zarzoso, Inmaculada
  • Prettner, Klaus

Abstract

This paper analyzes the effects of 3D printing technologies on the volume of trade and on the structure of foreign direct investment (FDI). A standard model with firm-specific heterogeneity generates three main predictions. First, 3D printers are introduced in areas with high economic activity that also face high transport costs. Second, technological progress in 3D printing leads to FDI dependent on traditional production structures gradually being replaced with FDI based on 3D printing techniques. At this stage, international trade remains unaffected. Finally, at later stages, with 3D printers being widely used, further technological progress in 3D printing leads to a gradual replacement of international trade. Empirical evidence indicates that countries subject to higher transport costs and with high levels of economic activity are indeed among those importing more 3D printers. Anecdotal evidence also supports the second and third predictions of the model.

Suggested Citation

  • Abeliansky, Ana Lucia & Martinez-Zarzoso, Inmaculada & Prettner, Klaus, 2016. "The impact of 3D printing on trade and FDI," VfS Annual Conference 2016 (Augsburg): Demographic Change 145479, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc16:145479
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    Cited by:

    1. Abeliansky, Ana & Prettner, Klaus, 2017. "Automation and demographic change," University of Göttingen Working Papers in Economics 310, University of Goettingen, Department of Economics.
    2. Prettner, Klaus, 2016. "The implications of automation for economic growth and the labor share," Hohenheim Discussion Papers in Business, Economics and Social Sciences 18-2016, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    3. Dario Cords & Klaus Prettner, 2022. "Technological unemployment revisited: automation in a search and matching framework [The future of work: meeting the global challenges of demographic change and automation]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 115-135.
    4. Prettner, Klaus, 2016. "The implications of automation for economic growth and the labor share of income," ECON WPS - Working Papers in Economic Theory and Policy 04/2016, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    5. Gasteiger, Emanuel & Prettner, Klaus, 2017. "A note on automation, stagnation, and the implications of a robot tax," Discussion Papers 2017/17, Free University Berlin, School of Business & Economics.
    6. Abeliansky, Ana & Algur, Eda & Bloom, David E. & Prettner, Klaus, 2020. "The Future of Work: Challenges for Job Creation Due to Global Demographic Change and Automation," IZA Discussion Papers 12962, Institute of Labor Economics (IZA).
    7. David E. Bloom & Mathew McKenna & Klaus Prettner, 2018. "Demography, Unemployment, Automation, and Digitalization: Implications for the Creation of (Decent) Jobs, 2010–2030," NBER Working Papers 24835, National Bureau of Economic Research, Inc.
    8. Alarco, Germán, 2023. "Concentration of wealth and income in post-pandemic Latin-America: Measurement, results, and perspective," MPRA Paper 119516, University Library of Munich, Germany.
    9. Prettner, Klaus & Strulik, Holger, 2017. "The lost race against the machine: Automation, education and inequality in an R&D-based growth model," Hohenheim Discussion Papers in Business, Economics and Social Sciences 08-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    10. Lankisch, Clemens & Prettner, Klaus & Prskawetz, Alexia, 2017. "Robots and the skill premium: An automation-based explanation of wage inequality," Hohenheim Discussion Papers in Business, Economics and Social Sciences 29-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    11. Julia Bock-Schappelwein & Michael Böheim & Elisabeth Christen & Stefan Ederer & Matthias Firgo & Klaus S. Friesenbichler & Werner Hölzl & Mathias Kirchner & Angela Köppl & Agnes Kügler & Christine May, 2018. "Politischer Handlungsspielraum zur optimalen Nutzung der Vorteile der Digitalisierung für Wirtschaftswachstum, Beschäftigung und Wohlstand," WIFO Studies, WIFO, number 61256, February.
    12. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    13. Lankisch, Clemens & Prettner, Klaus & Prskawetz, Alexia, 2019. "How can robots affect wage inequality?," Economic Modelling, Elsevier, vol. 81(C), pages 161-169.
    14. Michael Böheim & Elisabeth Christen & Matthias Firgo & Klaus S. Friesenbichler & Philipp Piribauer, 2018. "Auswirkungen der Digitalisierung auf die Entwicklung von Wirtschaftsräumen," WIFO Monatsberichte (monthly reports), WIFO, vol. 91(12), pages 881-890, December.

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    JEL classification:

    • F10 - International Economics - - Trade - - - General
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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