IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-20-01238.html
   My bibliography  Save this article

A directional technology convergence index

Author

Listed:
  • Barnabé Walheer

    (Université de Liège)

Abstract

Technology heterogeneity has been highlighted as an important feature in many fields in economics. We suggest a new index that measures technology convergence over time. Our index is flexible and easy to interpret, compute and aggregate. In particular, nonparametric estimation can be used and the practitioners can select the direction of the technology convergence investigation. We illustrate the usefulness of our new index with the case of the technology clubs in macro-empirics.

Suggested Citation

  • Barnabé Walheer, 2021. "A directional technology convergence index," Economics Bulletin, AccessEcon, vol. 41(3), pages 1330-1337.
    • Handle: RePEc:ebl:ecbull:eb-20-01238
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2021/Volume41/EB-21-V41-I3-P113.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Walter Briec & Benoit Dervaux & Hervé Leleu, 2003. "Aggregation of Directional Distance Functions and Industrial Efficiency," Journal of Economics, Springer, vol. 79(3), pages 237-261, July.
    2. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    3. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    4. Walheer, Barnabé, 2018. "Aggregation of metafrontier technology gap ratios: the case of European sectors in 1995–2015," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1013-1026.
    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. Walheer, Barnabé, 2021. "Labor productivity and technology heterogeneity," Journal of Macroeconomics, Elsevier, vol. 68(C).
    2. Walheer, Barnabé, 2018. "Labour productivity growth and energy in Europe: A production-frontier approach," Energy, Elsevier, vol. 152(C), pages 129-143.
    3. Jens J. Krüger, 2020. "Long‐run productivity trends: A global update with a global index," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1393-1412, November.
    4. Barnabé Walheer, 2019. "Disaggregation for efficiency analysis," Journal of Productivity Analysis, Springer, vol. 51(2), pages 137-151, June.
    5. You, Kefei & Dal Bianco, Silvia & Lin, Zhibin & Amankwah-Amoah, Joseph, 2019. "Bridging technology divide to improve business environment: Insights from African nations," Journal of Business Research, Elsevier, vol. 97(C), pages 268-280.
    6. 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.
    7. Tsionas, Mike & Parmeter, Christopher F. & Zelenyuk, Valentin, 2023. "Bayesian Artificial Neural Networks for frontier efficiency analysis," Journal of Econometrics, Elsevier, vol. 236(2).
    8. Andreas Mayer & Valentin Zelenyuk, 2018. "Aggregation of Individual Efficiency Measures and Productivity Indices," CEPA Working Papers Series WP012018, School of Economics, University of Queensland, Australia.
    9. Briec, Walter & Dumas, Audrey & Kerstens, Kristiaan & Stenger, Agathe, 2022. "Generalised commensurability properties of efficiency measures: Implications for productivity indicators," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1481-1492.
    10. Silvia Dal Bianco, 2016. "Going clubbing in the eighties: convergence in manufacturing sectors at a glance," Empirical Economics, Springer, vol. 50(2), pages 623-659, March.
    11. Thijs Raa, 2011. "Benchmarking and industry performance," Journal of Productivity Analysis, Springer, vol. 36(3), pages 285-292, December.
    12. Arnaud Abad & Rabaozafy Louisa Andriamasy & Walter Briec, 2018. "Surplus measures and luenberger Hicks–Moorsteen productivity indicator," Journal of Economics, Springer, vol. 125(3), pages 279-308, November.
    13. Jin, Qianying & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2020. "Metafrontier productivity indices: Questioning the common convexification strategy," European Journal of Operational Research, Elsevier, vol. 283(2), pages 737-747.
    14. Briec, Walter & Mussard, Stéphane, 2020. "Improvement of technical efficiency of firm groups," European Journal of Operational Research, Elsevier, vol. 283(3), pages 991-1001.
    15. Manh Pham & Léopold Simar & Valentin Zelenyuk, 2024. "Statistical Inference for Aggregation of Malmquist Productivity Indices," Operations Research, INFORMS, vol. 72(4), pages 1615-1629, July.
    16. Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2019. "Performance comparison of management groups under centralised management," European Journal of Operational Research, Elsevier, vol. 278(3), pages 845-854.
    17. 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.
    18. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
    19. 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.
    20. Walheer, Barnabé, 2023. "Meta-frontier and technology switchers: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 305(1), pages 463-474.

    More about this item

    Keywords

    Technology heterogeneity; convergence; index; nonparametric estimation; technology clubs.;
    All these keywords.

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

    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:ebl:ecbull:eb-20-01238. 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: John P. Conley (email available below). General contact details of provider: .

    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.