Adoption of Labor-Saving Technologies in Agriculture

R. Karina Gallardo () and Johannes Sauer ()
Additional contact information
R. Karina Gallardo: School of Economic Sciences, Puyallup Research and Extension Center, Center for Precision and Automated Agricultural Systems, Washington State University, Puyallup, Washington, 98371, USA
Johannes Sauer: Agricultural Production and Resource Economics, Center of Life and Food Sciences Weihenstephan, Technical University of Munich, Munich 80290, Germany

Annual Review of Resource Economics, 2018, vol. 10, issue 1, 185-206

Abstract: Labor-saving technologies in agriculture have been fundamental to the advancement of the agricultural industry, and in general, the economies of nations. This article presents a review of several economic theories that form the basis of the economics of labor-saving technologies, including the theory of induced innovation and subsequent theories developed from it. The review also includes empirical application studies and classifies existing literature into ex ante and ex post analyses of technology adoption. It also presents a thorough review of economic studies on the most successful labor-saving technology adoptions in agriculture, including crops and livestock. Finally, we discuss the future of labor-saving technologies in agriculture and their implications for new societal and economic structures.

Keywords: agriculture; induced hypothesis; labor saving; livestock (search for similar items in EconPapers)
JEL-codes: O33 O39 (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
https://doi.org/10.1146/annurev-resource-100517-023018 (application/pdf)
Full text downloads are only available to subscribers. Visit the abstract page for more information.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:anr:reseco:v:10:y:2018:p:185-206

Ordering information: This journal article can be ordered from
http://www.annualreviews.org/action/ecommerce

Access Statistics for this article

More articles in Annual Review of Resource Economics from Annual Reviews Annual Reviews 4139 El Camino Way Palo Alto, CA 94306, USA.
Bibliographic data for series maintained by http://www.annualreviews.org ().