IDEAS home Printed from https://ideas.repec.org/a/oup/apecpp/v37y2015i1p130-150..html
   My bibliography  Save this article

How Inefficient Are Nutrient Application Limits? A Dynamic Analysis of Groundwater Nitrate Pollution from Concentrated Animal Feeding Operations

Author

Listed:
  • Jingjing Wang
  • Kenneth A. Baerenklau

Abstract

Animal waste from concentrated animal feeding operations (CAFOs) is a significant contributor to nitrate contamination of groundwater. To evaluate the cost-effectiveness of alternative policies for controlling nitrate pollution at both the field and farm level, this article utilizes a structural dynamic model of a representative CAFO. The model accounts for herd management, manure handling systems, crop rotations, water sources, irrigation systems, waste disposal options, and pollutant emissions. Results show that the standard approach of limiting the amount of animal waste that may be applied to fields reduces net farm income by more than 25%, whereas the most cost-effective emission-based policies reduce income only marginally. This motivates greater consideration for nonpoint source pollution control policies that target estimated emissions. Furthermore, price instruments are shown to slightly outperform quantity instruments under conditions that are typical for CAFOs. The results also show that adopting alternative technologies and practices is crucial for cost-effective abatement, and demonstrate the importance of accounting for the spatial heterogeneity of both irrigation water and salinity when designing policy mechanisms for nitrate pollution control.

Suggested Citation

  • Jingjing Wang & Kenneth A. Baerenklau, 2015. "How Inefficient Are Nutrient Application Limits? A Dynamic Analysis of Groundwater Nitrate Pollution from Concentrated Animal Feeding Operations," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 37(1), pages 130-150.
  • Handle: RePEc:oup:apecpp:v:37:y:2015:i:1:p:130-150.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/aepp/ppu023
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Wang, Jingjing, 2022. "Harnessing natural attenuation to reduce CAFOs nitrate emissions: An integrated modeling approach," Ecological Economics, Elsevier, vol. 199(C).

    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:oup:apecpp:v:37:y:2015:i:1:p:130-150.. 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/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.