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Impact of R&D Activities on Pricing Behaviors with Product Turnover

Author

Listed:
  • Yasushi Hara

    (Hitotsubashi University, FFJ - Fondation France-Japon de l'EHESS - EHESS - École des hautes études en sciences sociales)

  • Akiyuki Tonogi

    (Toyo University)

  • Konomi Tonogi

    (Rissho University)

Abstract

This study empirically investigates the impact of research and development (R&D) activity on product turnover from Point-of-Sales (POS) data. When measuring the inflation rate in an economy, the effects of quantitative changes, volume changes, and quality changes from nominal sales changes must be removed. In order to examine the effect of R&D activities on price changes from sales data, we implement an empirical combining three datasets: weekly POS data, patent database (IIP Patent DB) data, and Survey of Research and Development data. We use regression analysis with pooling and panel regression. We observe that while the effect of price increases due to the new product introduction can be related to R&D behavior a negative effect on the price of the incumbent product is also observed. In addition, the relative prices of new and incumbent products tended to be higher for companies with active R&D expenditures. We suggest that continuous R&D is necessary to keep introducing high value products while prices are under pressure.

Suggested Citation

  • Yasushi Hara & Akiyuki Tonogi & Konomi Tonogi, 2019. "Impact of R&D Activities on Pricing Behaviors with Product Turnover," Working Papers hal-02318466, HAL.
    • Handle: RePEc:hal:wpaper:hal-02318466
    Note: View the original document on HAL open archive server: https://hal.science/hal-02318466
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    References listed on IDEAS

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    1. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    2. Feenstra, Robert C, 1994. "New Product Varieties and the Measurement of International Prices," American Economic Review, American Economic Association, vol. 84(1), pages 157-177, March.
    3. IKEUCHI Kenta & MOTOHASHI Kazuyuki & TAMURA Ryuichi & TSUKADA Naotoshi, 2017. "Measuring Science Intensity of Industry using Linked Dataset of Science, Technology and Industry," Discussion papers 17056, Research Institute of Economy, Trade and Industry (RIETI).
    4. Abe, Naohito & Inakura, Noriko & Tonogi, Akiyuki, 2017. "Effects of the Entry and Exit of Products on Price Indexes," RCESR Discussion Paper Series DP17-2, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.
    5. Robert C. Feenstra & Matthew D. Shapiro, 2003. "Introduction to "Scanner Data and Price Indexes"," NBER Chapters, in: Scanner Data and Price Indexes, pages 1-13, National Bureau of Economic Research, Inc.
    6. Robert C. Feenstra & Matthew D. Shapiro, 2003. "Scanner Data and Price Indexes," NBER Books, National Bureau of Economic Research, Inc, number feen03-1.
    7. YAMAGUCHI, Shotaro & 山口, 翔太郎 & NITTA, Ryuji & HARA, Yasushi & SHIMIZU, Hiroshi & 清水, 洋, 2018. "Staying Young at Heart or Wisdom of Age: Longitudinal Analysis of Age and Performance in US and Japanese Firms," IIR Working Paper 18-41, Institute of Innovation Research, Hitotsubashi University.
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    Keywords

    POS Data; Unit Value Price; R&D; Patent Acquisition;
    All these keywords.

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