IDEAS home Printed from https://ideas.repec.org/p/lmu/muenec/7575.html
   My bibliography  Save this paper

Learning and Technology Adoptions

Author

Listed:
  • Scholz, Sebastian

Abstract

A government that wants to increase welfare by subsidizing either an industry’s sales or process innovations or both has to account for possible changes of production, when firms can foresee the government’s actions. In an optimal control framework welfare can be increased by subsidizing either an industry’s sales or process innovations. An earlier innovation date increases the price that is charged up to that innovation date, but decreases it afterwards, when process innovation costs depend on the date of innovation. Hence the welfare effect might be negative. This paper will be the first that sets up a framework, which helps to examine the optimal mixture of sales and innovation subsidies, where innovation costs depend on time and learning on cumulative production quantities. The process innovation can be understood as a substitute to learning. In this set up innovation subsidies are more beneficial for the monopolist, sales subsidies for consumers.

Suggested Citation

  • Scholz, Sebastian, 2008. "Learning and Technology Adoptions," Discussion Papers in Economics 7575, University of Munich, Department of Economics.
  • Handle: RePEc:lmu:muenec:7575
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Young, Alwyn, 1993. "Invention and Bounded Learning by Doing," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 443-472, June.
    2. A. M. Spence, 1981. "The Learning Curve and Competition," Bell Journal of Economics, The RAND Corporation, vol. 12(1), pages 49-70, Spring.
    3. Alwyn Young, 1991. "Learning by Doing and the Dynamic Effects of International Trade," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 369-405.
    4. Dasgupta, Partha & Stiglitz, Joseph E, 1988. "Learning-by-Doing, Market Structure and Industrial and Trade Policies," Oxford Economic Papers, Oxford University Press, vol. 40(2), pages 246-268, June.
    5. Ray Rees, 1986. "Indivisibilities, pricing and investment: The case of the second best," Journal of Economics, Springer, vol. 5(1), pages 195-210, December.
    6. Brueckner, Jan K. & Raymon, Neil, 1983. "Optimal production with learning by doing," Journal of Economic Dynamics and Control, Elsevier, vol. 6(1), pages 127-135, September.
    7. Parente Stephen L., 1994. "Technology Adoption, Learning-by-Doing, and Economic Growth," Journal of Economic Theory, Elsevier, vol. 63(2), pages 346-369, August.
    8. Tracy R. Lewis & Huseyin Yildirim, 2002. "Learning by Doing and Dynamic Regulation," RAND Journal of Economics, The RAND Corporation, vol. 33(1), pages 22-36, Spring.
    9. Christopher Harris & John Vickers, 1987. "Racing with Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 54(1), pages 1-21.
    10. Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
    11. Alwyn Young, 1991. "Learning by Doing and the Dynamic Effects of International Trade," NBER Working Papers 3577, National Bureau of Economic Research, Inc.
    12. Drew Fudenberg & Jean Tirole, 1983. "Learning-by-Doing and Market Performance," Bell Journal of Economics, The RAND Corporation, vol. 14(2), pages 522-530, Autumn.
    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. Thompson, Peter, 2010. "Learning by Doing," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 429-476, Elsevier.
    2. Anelí Bongers, 2017. "Learning and forgetting in the jet fighter aircraft industry," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-19, September.
    3. E. Young Song, 2005. "Temporary Protection and Technology Choice under the Learning Curve," Review of International Economics, Wiley Blackwell, vol. 13(2), pages 391-396, May.
    4. Park, Sangin, 2009. "An empirical evaluation of the 1986 Semiconductor Trade Arrangement," Japan and the World Economy, Elsevier, vol. 21(4), pages 349-357, December.
    5. Ron Jarmin, 1996. "Learning by Doing and Plant Characteristics," Working Papers 96-5, Center for Economic Studies, U.S. Census Bureau.
    6. Madsen, Erik Strøjer & Jensen, Camilla & Hansen, Jørgen Drud, 2002. "Scale in Technology and Learning-by-Doing in the Windmill Industry," Working Papers 02-2, University of Aarhus, Aarhus School of Business, Department of Economics.
    7. Danial Asmat, 2021. "Collusion Along the Learning Curve: Theory and Evidence From the Semiconductor Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 69(1), pages 83-108, March.
    8. Unterschultz, James R. & Lerohl, Mel L. & Peng, Yanning & Gurung, Rajendra Kumar, 1998. "A Nutraceutical Industry: Policy Implications for Future Directions," Project Report Series 24051, University of Alberta, Department of Resource Economics and Environmental Sociology.
    9. Ana Espínola-Arredondo & Félix Muñoz-García, 2013. "Uncovering Entry Deterrence in the Presence of Learning-by-Doing," Journal of Industry, Competition and Trade, Springer, vol. 13(3), pages 319-338, September.
    10. Della Seta, Marco & Gryglewicz, Sebastian & Kort, Peter M., 2012. "Optimal investment in learning-curve technologies," Journal of Economic Dynamics and Control, Elsevier, vol. 36(10), pages 1462-1476.
    11. Liu, An-Hsiang & Siebert, Ralph B., 2022. "The competitive effects of declining entry costs over time: Evidence from the static random access memory market," International Journal of Industrial Organization, Elsevier, vol. 80(C).
    12. Chang, Shun-Chiao & Wu, Ho-Mou, 2006. "Production experiences and market structure in R&D competition," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 163-183, February.
    13. Mukoyama, Toshihiko, 2006. "Rosenberg's "learning by using" and technology diffusion," Journal of Economic Behavior & Organization, Elsevier, vol. 61(1), pages 123-144, September.
    14. Peter Thompson & Mihaela Pintea, 2005. "Technological Complexity, R&D and Education: Some Pleasant Arithmetic," Computing in Economics and Finance 2005 185, Society for Computational Economics.
    15. William Martin Tracy & M. V. Shyam Kumar & William Paczkowski, 2013. "Parametric interdependence, learning-by-doing, and industrial structure," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 580-600, December.
    16. Malte Schwoon, 2006. "Learning-by-doing, Learning Spillovers and the Diffusion of Fuel Cell Vehicles," Working Papers FNU-112, Research unit Sustainability and Global Change, Hamburg University, revised Jun 2006.
    17. Eigruber, Markus & Wirl, Franz, 2024. "Market equilibrium strategies under learning by doing and spillovers," Energy Economics, Elsevier, vol. 131(C).
    18. David Besanko & Ulrich Doraszelski & Yaroslav Kryukov & Mark Satterthwaite, 2008. "Learning-by-Doing, Organizational Forgetting, and Industry Dynamics," GSIA Working Papers 2009-E22, Carnegie Mellon University, Tepper School of Business.
    19. C. Lanier Benkard, 2000. "A Dynamic Analysis of the Market for Wide-Bodied Commercial Aircraft," NBER Working Papers 7710, National Bureau of Economic Research, Inc.
    20. Benkard, C. Lanier, 2000. "A Dynamic Analysis of the Market for Wide-Bodied Commercial Aircraft," Research Papers 1636, Stanford University, Graduate School of Business.

    More about this item

    Keywords

    Process Innovation; Timing; Learning-by-Doing;
    All these keywords.

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

    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:lmu:muenec:7575. See general information about how to correct material in RePEc.

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

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.