IDEAS home Printed from https://ideas.repec.org/p/oec/stiaaa/2002-12-en.html
   My bibliography  Save this paper

Use of Plant-Level Micro-Data for the Evaluation of SME Innovation Policy in Japan

Author

Listed:
  • Kazuyuki Motohashi

Abstract

Japan’s SME policies have reached a turning point. The traditional policy of “lifting up SMEs” has been changed into a more pro-competitive policy to foster entrepreneurship and innovation in SMEs. This paper evaluates this policy and the new innovation promotion schemes initiated by METI through an examination of plant-level micro data. Longitudinal micro-data from the Census of Manufacturing are linked to the list of firms participating in SME innovation policy schemes under the Law on Creative Activities in SMEs and the Law on Supporting Business Innovation in SMEs. The plant-level pattern of industrial dynamics suggests that both policies for new business start-ups and for innovation creation in existing firms are important. In addition, positive effects on sales growth are observed for firms that participate in the programme on Creative Activity Laws ... Utilisation de micro-données recueillies au niveau de l'entreprise pour évaluer la politique d'innovation des PME japonaises Au Japon, les politiques concernant les PME ont évolué de manière décisive. La politique traditionnelle qui consistait à « donner un coup de pouce » à ces entreprises a été abandonnée en faveur d’une politique plus axée sur la concurrence afin d’y encourager l’esprit d’entreprise et l’innovation. Le présent document évalue cette politique ainsi que les nouveaux programmes de promotion de l’innovation lancés par le METI, en examinant des micro-données recueillies au niveau de l’entreprise. Les données longitudinales provenant du Recensement des industries manufacturières sont liées à la liste des entreprises participant au programme d’action en faveur de l’innovation dans les PME en vertu de la loi sur les activités créatives dans les PME et de la loi sur l’aide à l’innovation dans les PME. La simulation effectuée grâce au modèle de dynamique industrielle au niveau de l’entreprise conduit à penser que ces deux dispositions – concernant la création de « jeunes pousses » et ...

Suggested Citation

  • Kazuyuki Motohashi, 2002. "Use of Plant-Level Micro-Data for the Evaluation of SME Innovation Policy in Japan," OECD Science, Technology and Industry Working Papers 2002/12, OECD Publishing.
    • Handle: RePEc:oec:stiaaa:2002/12-en
    DOI: 10.1787/754607664810
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/754607664810
    Download Restriction: no
    File URL: https://libkey.io/10.1787/754607664810?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
    ---><---

    Citations

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


    Cited by:

    1. Kohei Takahashi & Yuki Hashimoto, 2023. "Small grant subsidy application effects on productivity improvement: evidence from Japanese SMEs," Small Business Economics, Springer, vol. 60(4), pages 1631-1658, April.
    2. Bernard Hoekman, 2004. "Policies Facilitating Firm Adjustment to Globalization," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 20(3), pages 457-473, Autumn.
    3. HASHIMOTO Yuki & TAKAHASHI Kohei, 2021. "Are Applying for and Receiving Subsidy Worth for Small Enterprises? Evidence from the Government Support Program in Japan," Discussion papers 21039, Research Institute of Economy, Trade and Industry (RIETI).

    More about this item

    Keywords

    croissance des entreprises; firm growth; modèle de sélection d'échantillons; politique d'innovation dans les PME; programme evaluation; sample selection model; SME innovation policy; évaluation des programmes;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General

    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:oec:stiaaa:2002/12-en. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/scoecfr.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.