IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v100y2018i1p338-353..html
   My bibliography  Save this article

Workforce Education and Technical Change Bias in U.S. Agriculture and Related Industries

Author

Listed:
  • David K Lambert

Abstract

The number of hours devoted to value added output in the North American Industry Classification System (NAICS) sector “Agriculture, Forestry, Fishing, and Hunting” is increasingly supplied by individuals with advanced schooling. Consistent with hypotheses of a positive relationship among technology development, adoption, and dissemination and a more highly-skilled workforce, we first test and then conclude that the composition of the workforce is closely aligned with measures of the state of technology. Consistent with many other studies, technical change has been labor-saving overall, yet technologies adopted have reduced both the absolute and relative numbers of workers not progressing beyond high school. The changing composition of the workforce and technical change have driven an average wedge of 31% between reported wages and wages augmented by our estimates of the state of technology. This gap was greater in the period prior to the mid 1980s, when many of the changes in the education levels of the labor force occurred. Using estimates from the entire 1947–2010 period, the quantity of work provided by the worker hired in 2010 was 31% greater than if no change in labor composition had occurred.

Suggested Citation

  • David K Lambert, 2018. "Workforce Education and Technical Change Bias in U.S. Agriculture and Related Industries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(1), pages 338-353.
  • Handle: RePEc:oup:ajagec:v:100:y:2018:i:1:p:338-353.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ajae/aax047
    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. Fausti, Scott W. & Erickson, Bruce & Clay, David E. & Clay, Sharon A., 2021. "Is the Custom Service Industry’s Role in Precision Agriculture Linked to Workforce Development?," Western Economics Forum, Western Agricultural Economics Association, vol. 19(2), December.
    2. Xiaoxiao Zhou & Ming Xia & Teng Zhang & Juntao Du, 2020. "Energy- and Environment-Biased Technological Progress Induced by Different Types of Environmental Regulations in China," Sustainability, MDPI, vol. 12(18), pages 1-26, September.

    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:ajagec:v:100:y:2018:i:1:p:338-353.. 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.