IDEAS home Printed from https://ideas.repec.org/a/wly/sustdv/v32y2024i5p4959-4976.html
   My bibliography  Save this article

Do unpriced natural and ecosystem capital affect economic output? Growth regression analyses

Author

Listed:
  • Jang Ping Thia
  • Xinyu Kong
  • Jiaqi Su

Abstract

Services provided by nature and ecosystem capital are unpriced and their contributions cannot be observed through factor payments. Estimates of nature's gross domestic product contribution are thus based on bottom‐up extrapolations of local ecological valuations or various sectoral dependency assumptions. These estimates are hence partial and wide‐ranging. On the other hand, omission of nature and ecosystem capital in standard growth regressions potentially biases estimated returns to other factors of production. This paper incorporates various categories of natural capital and biodiversity into growth regressions, with annual data covering more than 100 economies over more than two decades. A range of econometric specifications are used, including fixed effect panel regressions, Arellano and Bond, and Pseudo Poisson Maximum Likelihood. The estimates point to natural capital, especially the narrower and specific ecosystem capital, having a sizeable positive elasticity of around one‐third of total gross fixed capital. Ecosystem capital is thus estimated to contribute around USD6–12 trillion (or 10–20 trillion in purchasing power parity terms) annually for the global economy. This estimated contribution is significantly higher than what is implied by existing stock valuations, underscoring the importance of ecosystem capital to sustainable growth.

Suggested Citation

  • Jang Ping Thia & Xinyu Kong & Jiaqi Su, 2024. "Do unpriced natural and ecosystem capital affect economic output? Growth regression analyses," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(5), pages 4959-4976, October.
  • Handle: RePEc:wly:sustdv:v:32:y:2024:i:5:p:4959-4976
    DOI: 10.1002/sd.2943
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sd.2943
    Download Restriction: no

    File URL: https://libkey.io/10.1002/sd.2943?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
    ---><---

    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:wly:sustdv:v:32:y:2024:i:5:p:4959-4976. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1719 .

    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.