IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v52y2025i5p1469-1500..html

Shadow pricing of carbon emissions from agriculture using spatially adaptive reference sets

Author

Listed:
  • Zhiyang Shen
  • Jean-Philippe Boussemart
  • Michael Vardanyan
  • Yunlong Zhang

Abstract

We propose a novel spatially adaptive nonparametric framework for estimating shadow prices of carbon dioxide emissions (CSP) in the agriculture sector. Our approach addresses the frequently overlooked issue of spatial heterogeneity among production units. Using a city-level panel dataset from four major agricultural provinces in China during the period 2008–2023, we define spatially adaptive reference sets based on the geographical proximity among metropolitan areas rather than assuming a single production frontier. Our study highlights the importance of considering spatial heterogeneity in environmental performance analysis and proposes a policy-relevant approach for promoting sustainable development in agriculture.

Suggested Citation

  • Zhiyang Shen & Jean-Philippe Boussemart & Michael Vardanyan & Yunlong Zhang, 2025. "Shadow pricing of carbon emissions from agriculture using spatially adaptive reference sets," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 52(5), pages 1469-1500.
    • Handle: RePEc:oup:erevae:v:52:y:2025:i:5:p:1469-1500.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/erae/jbaf045
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:oup:erevae:v:52:y:2025:i:5:p:1469-1500.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.