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Adoption of Labor-Saving Technologies in Agriculture

Author

Listed:
  • 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)

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.

Suggested Citation

  • R. Karina Gallardo & Johannes Sauer, 2018. "Adoption of Labor-Saving Technologies in Agriculture," Annual Review of Resource Economics, Annual Reviews, vol. 10(1), pages 185-206, October.
    • Handle: RePEc:anr:reseco:v:10:y:2018:p:185-206
    DOI: 10.1146/annurev-resource-100517-023018
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    Citations

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    Cited by:

    1. Kubitza, Christoph & Dib, Jonida Bou & Kopp, Thomas & Krishna, Vijesh V. & Nuryartono, Nunung & Qaim, Matin & Romero, Miriam & Klasen, Stephan, 2019. "Labor savings in agriculture and inequality at different spatial scales: The expansion of oil palm in Indonesia," EFForTS Discussion Paper Series 26, University of Goettingen, Collaborative Research Centre 990 "EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)".
    2. Marios Vasileiou & Leonidas Sotirios Kyrgiakos & Christina Kleisiari & Georgios Kleftodimos & George Vlontzos & Hatem Belhouchette & Panos M. Pardalos, 2024. "Transforming weed management in sustainable agriculture with artificial intelligence: a systematic literature review towards weed identification and deep learning," Post-Print hal-04297703, HAL.
    3. Zhang, Congying & Xiang, Jingru & Chang, Qian, 2023. "Does Informatization Cause the Relative Substitution Bias of Agricultural Machinery Inputs for Labor Inputs? Evidence from Apple Farmers in China," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 4(3), September.
    4. Kubitza, Christoph & Vijesh, Krishna V. & Klasen, Stephan & Kopp, Thomas & Nuryartono, Nunung & Qaim, Matin, 2021. "Labor Displacement in Agriculture: The Case of Oil Palm in Indonesia," 2021 Conference, August 17-31, 2021, Virtual 314982, International Association of Agricultural Economists.
    5. Xiaoxue Du & Hernan Tejeda & Zhengliang Yang & Liang Lu, 2022. "A General-Equilibrium Model of Labor-Saving Technology Adoption: Theory and Evidences from Robotic Milking Systems in Idaho," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    6. Chin-Ling Lee & Robert Strong & Kim E. Dooley, 2021. "Analyzing Precision Agriculture Adoption across the Globe: A Systematic Review of Scholarship from 1999–2020," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    7. Cock, James & Prager, Steven & Meinke, Holger & Echeverria, Ruben, 2022. "Labour productivity: The forgotten yield gap," Agricultural Systems, Elsevier, vol. 201(C).
    8. Rachel A. Bahn & Abed Al Kareem Yehya & Rami Zurayk, 2021. "Digitalization for Sustainable Agri-Food Systems: Potential, Status, and Risks for the MENA Region," Sustainability, MDPI, vol. 13(6), pages 1-24, March.
    9. McFadden, Jonathan & Njuki, Eric & Griffin, Terry, 2023. "Precision Agriculture in the Digital Era: Recent Adoption on U.S. Farms," USDA Miscellaneous 333550, United States Department of Agriculture.
    10. Muhammad Usman & Gulnaz Hameed & Abdul Saboor & Lal K. Almas & Muhammad Hanif, 2021. "R&D Innovation Adoption, Climatic Sensitivity, and Absorptive Ability Contribution for Agriculture TFP Growth in Pakistan," Agriculture, MDPI, vol. 11(12), pages 1-18, November.

    More about this item

    Keywords

    agriculture; induced hypothesis; labor saving; livestock;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other

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