IDEAS home Printed from https://ideas.repec.org/p/srt/wpaper/0719.html
   My bibliography  Save this paper

Modelling the Green Knowledge Production Function with Latent Group Structures for OECD countries

Author

Listed:
  • Saptorshee Kanto Chakraborty

    (University of Ferrara, Italy)

  • Massimiliano Mazzanti

    (University of Ferrara; SEEDS, Italy)

Abstract

We explore the green knowledge production function and human capital spillovers in the OECD region using a latent group structure. The number of groups and the group membership are both unknown, we determine these unknowns using a penalized regression technique in the presence of cross-sectional dependence in error terms and nonstationarity. We find substantial heterogenous groups classified under three distinctive groups and their efficient estimates. We try to model the green knowledge production function with Latent-Group Structures using PPC- base method with one unobserved global non-stationary factor, we find heterogeneous behaviour in green technologies using a Cup-Lasso estimate. Human capital and expenditure in Research and Development plays an important part in our findings

Suggested Citation

  • Saptorshee Kanto Chakraborty & Massimiliano Mazzanti, 2019. "Modelling the Green Knowledge Production Function with Latent Group Structures for OECD countries," SEEDS Working Papers 0719, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2019.
    • Handle: RePEc:srt:wpaper:0719
    as

    Download full text from publisher

    File URL: http://www.sustainability-seeds.org/papers/RePec/srt/wpaper/0719.pdf
    File Function: First version, 2019
    Download Restriction: no
    File URL: http://www.sustainability-seeds.org/papers/RePec/srt/wpaper/0719.pdf
    File Function: Revised version, 2019
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2021. "Renewable electricity and economic growth relationship in the long run: Panel data econometric evidence from the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 330-341.

    More about this item

    Keywords

    Green Innovation; Human Capital Spillover; Gross Research and Development; OECD; C-Lasso;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:srt:wpaper:0719. 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: Alessandro Palma (email available below). General contact details of provider: http://www.sustainability-seeds.org .

    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.