IDEAS home Printed from https://ideas.repec.org/p/ags/aaea16/235439.html
   My bibliography  Save this paper

Pesticide Use and Health Outcomes: Evidence from Agricultural Water Pollution in China

Author

Listed:
  • Lai, Wangyang

Abstract

This paper provides the first quasi-experimental evidence that pesticides adversely affect health outcomes through drinking water by linking provincial pesticide usage reports from several Chinese statistical yearbooks (1998-2011) with the Chinese Longitudinal Healthy Longevity Survey (1998-2011). First, we follow a difference-in-difference-in-differences (DDD) framework to compare health outcomes between people who drink surface water and ground water in regions with high and low intensity of rice pesticide use before and after 2004, when China shifted from taxing agriculture to subsidizing agricultural programs. Second, we measure the downstream effect of pesticide use from upstream provinces. Our results indicate that a 10% increase in rice pesticide use unfavorably alters the index of dependence (ADL) by 2.51% and 0.33% for local and downstream residents (65 and older), respectively. This is equivalent to 168.8 and 55.89 million dollars in medical costs and offspring’s human capital losses, respectively (in total, 1.92% of rice production profits). Our results are robust to a variety of robustness checks and falsification tests.

Suggested Citation

  • Lai, Wangyang, 2016. "Pesticide Use and Health Outcomes: Evidence from Agricultural Water Pollution in China," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235439, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea16:235439
    DOI: 10.22004/ag.econ.235439
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/235439/files/health%20and%20ag%20chem%20in%20China%20AAEA%202016.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.235439?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
    ---><---

    Citations

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


    Cited by:

    1. Linda Ferrari, 2022. "Farmers' attitude toward CRISPR/Cas9: The case of blast resistant rice," Agribusiness, John Wiley & Sons, Ltd., vol. 38(1), pages 175-194, January.

    More about this item

    Keywords

    Environmental Economics and Policy; Health Economics and Policy;

    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:ags:aaea16:235439. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.