IDEAS home Printed from https://ideas.repec.org/p/ags/aaea14/170548.html
   My bibliography  Save this paper

A DEA-PCA Sustainability Metric for Processing Vegetable Crops

Author

Listed:
  • Wille, Nicola
  • Mitchell, Paul D.
  • Dong, Fengxia
  • Knuteson, Deana
  • Wyman, Jeffery
  • Moore, Virginia

Abstract

Sustainable agriculture is garnering renewed interest as more customers and retailers from both the U.S. and the world markets demand more sustainably sourced products and ingredients. Processed vegetables (canned and frozen) such as sweet corn and green beans face this same growing demand. To respond to this growing demand for sustainability data and programs, the Midwest Food Processors Association and the Wisconsin Potato and Vegetable Growers Association chose the National Initiative for Sustainable Agriculture (http://wisa. cals.wisc.edu/nisa) approach. This approach develops a farmer self-assessment survey that documents grower adoption of multiple sustainable practices, and then analyzes the data using data envelope analysis with principal components to develop a “sustainability score” for both individual growers and the industry as a whole.

Suggested Citation

  • Wille, Nicola & Mitchell, Paul D. & Dong, Fengxia & Knuteson, Deana & Wyman, Jeffery & Moore, Virginia, 2014. "A DEA-PCA Sustainability Metric for Processing Vegetable Crops," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170548, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea14:170548
    DOI: 10.22004/ag.econ.170548
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/170548/files/A%20DEA_PCA%20Sustainability%20Metric%20for%20Processing%20Vegetable%20Crops.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.170548?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
    ---><---

    More about this item

    Keywords

    Crop Production/Industries; Farm Management; Production Economics; Research Methods/ Statistical Methods;
    All these keywords.

    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:aaea14:170548. 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.