IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v99y2008i1p209-211.html
   My bibliography  Save this article

The benefit of efficiency improvement on growth and convergence: A study using Japan panel data

Author

Listed:
  • Yamamura, Eiji
  • Shin, Inyong

Abstract

Empirical results through a fixed effects regression model show that technological catch-up is three times as effective as capital deepening but both have done much to cause economic convergence among Japanese prefectures (regions). Results are contrary to existing research on East Asian growth experience.

Suggested Citation

  • Yamamura, Eiji & Shin, Inyong, 2008. "The benefit of efficiency improvement on growth and convergence: A study using Japan panel data," Economics Letters, Elsevier, vol. 99(1), pages 209-211, April.
    • Handle: RePEc:eee:ecolet:v:99:y:2008:i:1:p:209-211
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1765(07)00257-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    References listed on IDEAS

    as
    1. Hayami, Yujiro & Ogasawara, Junichi, 1999. "Changes in the Sources of Modern Economic Growth: Japan Compared with the United States," Journal of the Japanese and International Economies, Elsevier, vol. 13(1), pages 1-21, March.
    2. Lopez, Humberto, 2006. "Growth and inequality: Are the 1990s different?," Economics Letters, Elsevier, vol. 93(1), pages 18-25, October.
    3. Kumbhakar, Subal C. & Wang, Hung-Jen, 2005. "Estimation of growth convergence using a stochastic production frontier approach," Economics Letters, Elsevier, vol. 88(3), pages 300-305, September.
    4. Subodh Kumar & R. Robert Russell, 2002. "Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence," American Economic Review, American Economic Association, vol. 92(3), pages 527-548, June.
    5. Daniel J. Henderson & R. Robert Russell, 2005. "Human Capital And Convergence: A Production-Frontier Approach ," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(4), pages 1167-1205, November.
    6. Alwyn Young, 1995. "The Tyranny of Numbers: Confronting the Statistical Realities of the East Asian Growth Experience," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 641-680.
    7. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    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. Eiji Yamamura, 2013. "Institution and decomposition of natural disaster impact on growth," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 40(6), pages 720-738, October.
    2. Eiji Yamamura & Inyong Shin, 2009. "Effects of Income Inequality on Growth through Efficiency Improvement and Capital Accumulation," International Economic Journal, Taylor & Francis Journals, vol. 23(2), pages 237-258.
    3. Eiji Yamamura & Inyong Shin, 2013. "Decomposition of Ethnic Heterogeneity on Growth," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 55(1), pages 59-75, March.
    4. Yamamura, Eiji, 2011. "Decomposition of the effect of government size on growth," Economics Letters, Elsevier, vol. 112(3), pages 230-232, September.
    5. repec:agr:journl:v:12(589):y:2013:i:12(589):p:57-66 is not listed 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. Giampaolo Garzarelli & Stephen M. Miller & Yasmina R. Limam, 2016. "Output Decomposition in the Presence of Input Quality Effects: A Stochastic Frontier Approach," Working Papers 72, Economic Research Southern Africa.
    2. Barnabé Walheer, 2016. "Multi-Sector Nonparametric Production-Frontier Analysis of the Economic Growth and the Convergence of the European Countries," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 498-524, October.
    3. Walheer, Barnabé, 2016. "Growth and convergence of the OECD countries: A multi-sector production-frontier approach," European Journal of Operational Research, Elsevier, vol. 252(2), pages 665-675.
    4. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2017. "The Productivity of Nations," CEPA Working Papers Series WP022017, School of Economics, University of Queensland, Australia.
    5. Oleg Badunenko & Daniel Henderson & Romain Houssa, 2014. "Significant drivers of growth in Africa," Journal of Productivity Analysis, Springer, vol. 42(3), pages 339-354, December.
    6. Kerekes, Monika, 2007. "Analyzing patterns of economic growth: a production frontier approach," Discussion Papers 2007/15, Free University Berlin, School of Business & Economics.
    7. Oleg Badunenko & Diego Romero‐Ávila, 2013. "Financial Development And The Sources Of Growth And Convergence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(2), pages 629-663, May.
    8. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    9. Walheer, Barnabé, 2018. "Economic growth and greenhouse gases in Europe: A non-radial multi-sector nonparametric production-frontier analysis," Energy Economics, Elsevier, vol. 74(C), pages 51-62.
    10. Meryem Duygun & Jiaqi Hao & Anders Isaksson & Robin C. Sickles, 2017. "World Productivity Growth: A Model Averaging Approach," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 587-619, October.
    11. Ferreira Paulo & Dionísio Andreia, 2016. "GDP growth and convergence determinants in the European Union: a crisp-set analysis," Review of Economic Perspectives, Sciendo, vol. 16(4), pages 279-296, December.
    12. Shuhei Aoki & Julen Esteban-Pretel & Tetsuji Okazaki & Yasuyuki Sawada, 2010. "The Role of the Government in Facilitating TFP Growth during Japan’s Rapid-growth Era," Palgrave Macmillan Books, in: Keijiro Otsuka & Kaliappa Kalirajan (ed.), Community, Market and State in Development, chapter 4, pages 21-44, Palgrave Macmillan.
    13. Eiji Yamamura & Inyong Shin, 2007. "Technological Change and Catch-up and Capital Deepening: Relative Contributions to Growth and Convergence: Comment," Economics Bulletin, AccessEcon, vol. 15(3), pages 1-8.
    14. Michelle Baddeley, 2006. "Convergence or Divergence? The Impacts of Globalisation on Growth and Inequality in Less Developed Countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(3), pages 391-410.
    15. Jakub Growiec & Anna Pajor & Dorota Gorniak & Artur Predki, 2015. "The shape of aggregate production functions: evidence from estimates of the World Technology Frontier," Bank i Kredyt, Narodowy Bank Polski, vol. 46(4), pages 299-326.
    16. Yamamura, Eiji, 2011. "Decomposition of the effect of government size on growth," Economics Letters, Elsevier, vol. 112(3), pages 230-232, September.
    17. Walheer, Barnabé, 2021. "Labor productivity and technology heterogeneity," Journal of Macroeconomics, Elsevier, vol. 68(C).
    18. Walheer, Barnabé, 2018. "Labour productivity growth and energy in Europe: A production-frontier approach," Energy, Elsevier, vol. 152(C), pages 129-143.
    19. Camilla Mastromarco & Léopold Simar, 2021. "Latent heterogeneity to evaluate the effect of human capital on world technology frontier," Journal of Productivity Analysis, Springer, vol. 55(2), pages 71-89, April.
    20. Po-Chi Chen & Ming-Miin Yu, 2014. "Total factor productivity growth and directions of technical change bias: evidence from 99 OECD and non-OECD countries," Annals of Operations Research, Springer, vol. 214(1), pages 143-165, March.

    More about this item

    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:eee:ecolet:v:99:y:2008:i:1:p:209-211. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.