IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v390y2026ics0277953625012018.html

Differential own-price elasticity of demand for prescription drugs by clinical value

Author

Listed:
  • Jiang, Yawen
  • Dong, Zhanyu

Abstract

Understanding how pharmaceutical demand responds to price changes is fundamental for health policy decisions. This study examines whether price elasticity of demand for prescription drugs varies with clinical value. Analyzing 29 single-source medications included in China's National Reimbursement Drug List (2017–2019) through centralized negotiations, we categorized drugs as high-value or low-value based on incremental quality-adjusted life years. Using fixed-effects regression models with standardized price and sales volume data from approximately 3000 hospitals, we estimated price elasticity and reimbursement inclusion semi-elasticity stratified by value category. Low-value drugs exhibited substantially higher price elasticity (−0.54; 95 % CI, −0.76 to −0.32) compared to high-value drugs (−0.01; 95 % CI, −0.03 to 0.004). Despite similar price reductions (approximately 55 %) following reimbursement inclusion, low-value drugs experienced significantly greater volume increases (38.83 %; 95 % CI, 10.94 %–66.71 %) than high-value drugs (−2.44 %; 95 % CI, −35.73 %–30.85 %; p = 0.016). The results provide novel empirical evidence that price elasticity of demand for prescription drugs varies systematically with clinical value, with high-value drugs exhibiting relatively inelastic demand. The findings provide empirical support for value-based approaches to prescription access policy, but also suggest that centralized procurement mechanisms premised on volume-price trade-offs should factor in the inelastic demand of high-value drugs.

Suggested Citation

  • Jiang, Yawen & Dong, Zhanyu, 2026. "Differential own-price elasticity of demand for prescription drugs by clinical value," Social Science & Medicine, Elsevier, vol. 390(C).
  • Handle: RePEc:eee:socmed:v:390:y:2026:i:c:s0277953625012018
    DOI: 10.1016/j.socscimed.2025.118870
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953625012018
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2025.118870?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
    ---><---

    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:eee:socmed:v:390:y:2026:i:c:s0277953625012018. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.