IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i2p938-d1842336.html

Dynamic Capabilities and Signal Transmission: Research on the Dual Path of Water Utilization Reduction Impacting Firm Value

Author

Listed:
  • Hongmei Liu

    (School of Finance and Business, Shanghai Normal University, Shanghai 200234, China)

  • Siying Wang

    (School of Finance and Business, Shanghai Normal University, Shanghai 200234, China)

  • Keqiang Wang

    (College of Public Finance and Investment, Shanghai University of Finance and Economics, Shanghai 200433, China)

Abstract

Driven by the national policy of total water resources control and efficiency improvement, the behavior of water resource utilization reduction by firms is widespread, which may have an impact on the value of firms. This study integrates dynamic capability theory and signaling theory to construct a dual-path analytical framework, systematically investigating the impact of water utilization reduction on firm value and its intrinsic mechanisms. Based on data from Chinese A-share listed companies spanning 2012–2023, fixed-effect models, mediation-effect tests, and heterogeneity analysis are employed for empirical verification. The results reveal that water utilization reduction exerts a significant dual-path promoting effect on firm value: it enhances financial performance (ROA) primarily through technological innovation, reflecting the process of resource orchestration and dynamic capability construction; concurrently, it boosts market performance (Tobin’s Q) mainly by improving ESG performance as a signaling channel, mirroring the capital market’s positive pricing of green signals. Further heterogeneity analysis indicates that these effects are more pronounced during the policy deepening stage, in non-water-intensive industries, and in humid/sub-humid regions. This study contributes theoretical support and empirical evidence for firms’ green transformation and the formulation of differentiated water resource policies by the government, highlighting the synergistic development of high-quality economic growth and ecological civilization construction.

Suggested Citation

  • Hongmei Liu & Siying Wang & Keqiang Wang, 2026. "Dynamic Capabilities and Signal Transmission: Research on the Dual Path of Water Utilization Reduction Impacting Firm Value," Sustainability, MDPI, vol. 18(2), pages 1-30, January.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:2:p:938-:d:1842336
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/2/938/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/2/938/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:18:y:2026:i:2:p:938-:d:1842336. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.