IDEAS home Printed from https://ideas.repec.org/a/kap/revind/v57y2020i3d10.1007_s11151-020-09779-7.html
   My bibliography  Save this article

Knowledge Transfer, Transitional Dynamics and Optimal Research & Development Policy in a Dynamic Monopoly Setting

Author

Listed:
  • Jürgen Antony

    (Pforzheim University)

  • Torben Klarl

    (University of Bremen
    Indiana University, Bloomington)

Abstract

This paper focuses on the question of whether or not a reduction of the knowledge barrier is good for welfare. Based on a dynamic monopoly setting with simultaneous investment decisions in process as well as in product Research & Development (R&D), we show that a reduction of the knowledge barrier has ambiguous welfare consequences: due to a lower knowledge barrier, product quality and welfare increase in the short-run. However, this may not necessarily be the case in the long-run. One reason is that a positive long-lasting knowledge barrier shock triggers the monopolist sub-optimally to reduce its product R&D investments today and in the future at the cost of future product quality. This in turn may reduce welfare. Accordingly, to realize the first-best level of product quality, the long-run optimal R&D subsidy rate for product innovations increases with a reduction of the knowledge barrier.

Suggested Citation

  • Jürgen Antony & Torben Klarl, 2020. "Knowledge Transfer, Transitional Dynamics and Optimal Research & Development Policy in a Dynamic Monopoly Setting," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(3), pages 579-606, November.
  • Handle: RePEc:kap:revind:v:57:y:2020:i:3:d:10.1007_s11151-020-09779-7
    DOI: 10.1007/s11151-020-09779-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11151-020-09779-7
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11151-020-09779-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Chenavaz, Régis, 2012. "Dynamic pricing, product and process innovation," European Journal of Operational Research, Elsevier, vol. 222(3), pages 553-557.
    2. Trimborn, Timo & Koch, Karl-Josef & Steger, Thomas M., 2008. "Multidimensional Transitional Dynamics: A Simple Numerical Procedure," Macroeconomic Dynamics, Cambridge University Press, vol. 12(3), pages 301-319, June.
    3. Torben Klarl, 2014. "Knowledge diffusion and knowledge transfer revisited: two sides of the medal," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 737-760, September.
    4. Wendong Deng & George Hendrikse, 2018. "Social interactions and product quality: the value of pooling in cooperative entrepreneurial networks," Small Business Economics, Springer, vol. 50(4), pages 749-761, April.
    5. Cellini, Roberto & Lambertini, Luca, 2009. "Dynamic R&D with spillovers: Competition vs cooperation," Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 568-582, March.
    6. Mussa, Michael & Rosen, Sherwin, 1978. "Monopoly and product quality," Journal of Economic Theory, Elsevier, vol. 18(2), pages 301-317, August.
    7. Cohen, Wesley M & Klepper, Steven, 1996. "A Reprise of Size and R&D," Economic Journal, Royal Economic Society, vol. 106(437), pages 925-951, July.
    8. Cohen, Wesley M & Klepper, Steven, 1996. "Firm Size and the Nature of Innovation within Industries: The Case of Process and Product R&D," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 232-243, May.
    9. Paul Attewell, 1992. "Technology Diffusion and Organizational Learning: The Case of Business Computing," Organization Science, INFORMS, vol. 3(1), pages 1-19, February.
    10. Zvi Griliches, 1998. "R&D and productivity: the unfinished business," Estudios de Economia, University of Chile, Department of Economics, vol. 25(2 Year 19), pages 145-160, December.
    11. Zoltán J. Ács & Pontus Braunerhjelm & David B. Audretsch & Bo Carlsson, 2015. "The knowledge spillover theory of entrepreneurship," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 7, pages 129-144, Edward Elgar Publishing.
    12. Audretsch, David B. & Baumol, William J. & Burke, Andrew E., 2001. "Competition policy in dynamic markets," International Journal of Industrial Organization, Elsevier, vol. 19(5), pages 613-634, April.
    13. Pan, Xiaojun & Li, Shoude, 2016. "Dynamic optimal control of process–product innovation with learning by doing," European Journal of Operational Research, Elsevier, vol. 248(1), pages 136-145.
    14. Griliches, Zvi, 1998. "R&D and Productivity," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226308869.
    15. Buiter, Willem H, 1984. "Saddlepoint Problems in Continuous Time Rational Expectations Models: A General Method and Some Macroeconomic Examples," Econometrica, Econometric Society, vol. 52(3), pages 665-680, May.
    16. Lambertini, Luca & Mantovani, Andrea, 2009. "Process and product innovation by a multiproduct monopolist: A dynamic approach," International Journal of Industrial Organization, Elsevier, vol. 27(4), pages 508-518, July.
    17. Demircioglu, Mehmet Akif & Audretsch, David B., 2017. "Conditions for innovation in public sector organizations," Research Policy, Elsevier, vol. 46(9), pages 1681-1691.
    18. 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.
    19. Bengt-ake Lundvall & Bjorn Johnson, 1994. "The Learning Economy," Industry and Innovation, Taylor & Francis Journals, vol. 1(2), pages 23-42.
    20. Audretsch, David B & Feldman, Maryann P, 1996. "R&D Spillovers and the Geography of Innovation and Production," American Economic Review, American Economic Association, vol. 86(3), pages 630-640, June.
    21. Luca Lambertini & Raimondello Orsini, 2015. "Quality Improvement and Process Innovation in Monopoly: A Dynamic Analysis," Working Paper series 15-12, Rimini Centre for Economic Analysis.
    22. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    23. Lambertini, Luca, 2018. "Coordinating research and development efforts for quality improvement along a supply chain," European Journal of Operational Research, Elsevier, vol. 270(2), pages 599-605.
    24. Clarke, Frank H & Darrough, Masako N & Heineke, John M, 1982. "Optimal Pricing Policy in the Presence of Experience Effects," The Journal of Business, University of Chicago Press, vol. 55(4), pages 517-530, October.
    25. David B. Audretsch, 1995. "Innovation and Industry Evolution," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011468, April.
    26. Li, Shoude & Ni, Jian, 2016. "A dynamic analysis of investment in process and product innovation with learning-by-doing," Economics Letters, Elsevier, vol. 145(C), pages 104-108.
    27. Zhong, Genyuan & Zhang, Weihang, 2018. "Product and process innovation with knowledge accumulation in monopoly: A dynamic analysis," Economics Letters, Elsevier, vol. 163(C), pages 175-178.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shui-Ying Jin & Hong Chai & Chien-Chiang Lee, 2024. "Knowledge Transfer of China’s HSR Standards “Going Global” Based on System Dynamics," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6111-6150, June.
    2. David Audretsch & Dirk Fornahl & Torben Klarl, 2022. "Radical innovation and its regional impact—a roadmap for future research," Small Business Economics, Springer, vol. 58(2), pages 1153-1156, February.

    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. Ni, Jian & Zhao, Jun & Chu, Lap Keung, 2021. "Supply contracting and process innovation in a dynamic supply chain with information asymmetry," European Journal of Operational Research, Elsevier, vol. 288(2), pages 552-562.
    2. Ni, Jian & Xu, Yue & Shi, Jia & Li, Jiali, 2024. "Product innovation in a supply chain with information asymmetry: Is more private information always worse?," European Journal of Operational Research, Elsevier, vol. 314(1), pages 229-240.
    3. De Giovanni, Pietro & Zaccour, Georges, 2023. "A survey of dynamic models of product quality," European Journal of Operational Research, Elsevier, vol. 307(3), pages 991-1007.
    4. Lambertini, Luca & Orsini, Raimondello & Palestini, Arsen, 2017. "On the instability of the R&D portfolio in a dynamic monopoly. Or, one cannot get two eggs in one basket," International Journal of Production Economics, Elsevier, vol. 193(C), pages 703-712.
    5. Li, Shoude & Ni, Jian, 2016. "A dynamic analysis of investment in process and product innovation with learning-by-doing," Economics Letters, Elsevier, vol. 145(C), pages 104-108.
    6. Dongdong Li & Leonard F. S. Wang, 2022. "Does environmental corporate social responsibility (ECSR) promote green product and process innovation?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(5), pages 1439-1447, July.
    7. Fan Zhang & Susu Cheng, 2021. "Behavioral choices in a dynamic duopoly with process innovation and sticky price: Myopia versus farsightedness," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(3), pages 662-674, April.
    8. Genlong Guo & Shoude Li, 2023. "A dynamic analysis of a monopolist's efforts for improving product quality and process innovation with reference price effects under linear demand," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2328-2345, June.
    9. Lambertini, Luca, 2018. "Coordinating research and development efforts for quality improvement along a supply chain," European Journal of Operational Research, Elsevier, vol. 270(2), pages 599-605.
    10. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    11. Peter-J. Jost, 2021. "Endogenous formation of entrepreneurial networks," Small Business Economics, Springer, vol. 56(1), pages 39-64, January.
    12. David B. Audretsch & Alexander S. Kritikos & Alexander Schiersch, 2020. "Microfirms and innovation in the service sector," Small Business Economics, Springer, vol. 55(4), pages 997-1018, December.
    13. Pan, Xiaojun & Li, Shoude, 2016. "Dynamic optimal control of process–product innovation with learning by doing," European Journal of Operational Research, Elsevier, vol. 248(1), pages 136-145.
    14. Anton, Ramona & Chenavaz, Régis Y. & Paraschiv, Corina, 2023. "Dynamic pricing, reference price, and price-quality relationship," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    15. repec:bof:bofrdp:urn:nbn:fi:bof-201512111472 is not listed on IDEAS
    16. Levin, Mark (Левин, Марк) & Matrosova, K. (Матросова, К.), 2016. "Research, Modeling and Process Management Dissemination of Innovations in Socio-Economic Systems [Исследование, Моделирование И Управление Процессами Распространения Инноваций В Социально-Экономиче," Working Papers 1443, Russian Presidential Academy of National Economy and Public Administration.
    17. Song, Jian & Chutani, Anshuman & Dolgui, Alexandre & Liang, Liang, 2021. "Dynamic innovation and pricing decisions in a supply-Chain," Omega, Elsevier, vol. 103(C).
    18. Dongdong Li & Chenxuan Shang, 2022. "When does environmental innovation crowd out process innovation? A dynamic analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2275-2283, September.
    19. Antonioli, Davide & Marzucchi, Alberto & Rentocchini, Francesco & Vannuccini, Simone, 2024. "Robot adoption and product innovation," Research Policy, Elsevier, vol. 53(6).
    20. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    21. repec:zbw:bofrdp:2015_027 is not listed on IDEAS
    22. Joern Block & Roy Thurik & Haibo Zhou, 2013. "What turns knowledge into innovative products? The role of entrepreneurship and knowledge spillovers," Journal of Evolutionary Economics, Springer, vol. 23(4), pages 693-718, September.

    More about this item

    Keywords

    Process and product innovation; Learning by doing; Knowledge spillovers; Optimal taxation; Dynamic monopoly analysis;
    All these keywords.

    JEL classification:

    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • D6 - Microeconomics - - Welfare Economics
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

    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:kap:revind:v:57:y:2020:i:3:d:10.1007_s11151-020-09779-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.