Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Abstract

The decline in agriculture, owing to the reduced number of farms, has been countered by adopting advanced technologies aimed at increasing production scale. However, in Japan, despite using such advanced technologies, the unique topographical features render scaling up difficult. Effective collaboration between farmers is required for high productivity in small and medium-sized farms. Although large companies provide top-down services for agricultural machinery sharing (AMS), several small-scale but scattered niche demands remain, some of which are solved via a bottom-up sharing practice based on trust between participating farmers. As the dependence on precarious trust renders the spreading of such a practice challenging, this study proposes an AMS mechanism for replacing trust with monetary incentives. Moreover, the impact of weather uncertainty on the machine use schedule is considered. The mechanism utilizes certain rules to cause the schedule to respond to uncertain weather in the ex-ante stage. Three rules, namely order, release date, and period rules, are proposed, and their characteristics are analyzed through computational experiments. The results reveal that the order rule depends on the participating farmers. The release date rule facilitates farmers in using the machine more frequently, and the period rule tends to equalize farmers’ revenue; however, both rules provide similar results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    In the AMS environment, the “weak budget balance” is satisfied if the rule is properly designed such that the “no single-agent effect” property holds. This is true for the release date and period rules introduced below but not for the order rule.

  2. 2.

    In our AMS environment, the VCG mechanism is “ex-post individually rational in expectation” because the schedule upon which each farmer bases their preference is a random variable dependent on the weather.

References

  1. United States Department of Agriculture. 2022 Census of Agriculture. https://www.nass.usda.gov/Publications/AgCensus/2022/. Accessed 11 Apr 2024

  2. French Ministry of Agriculture and Food. Agricultural Consensus (Agreste) 2020. https://agreste.agriculture.gouv.fr/agreste-web/disaron/Pri2213-en/detail/. Accessed 11 Apr 2024

  3. Japanese Ministry of Agriculture, Forestry and Fisheries. Statistics Regarding Agricultural Business Entities. https://www.maff.go.jp/j/tokei/sihyo/data/07.html. Accessed 11 Apr 2024

  4. Khan, N., Ray, R.L., Sargani, G.R., Ihtisham, M., Khayyam, M., Ismail, S.: Current progress and future prospects of agriculture technology: gateway to sustainable agriculture. Sustainability 13(9), 4883 (2021)

    Article  Google Scholar 

  5. Japanese Ministry of Agriculture, Forestry and Fisheries. Comparison of Business Scale, Production Costs, etc. Within and Outside Japan. https://www.maff.go.jp/j/council/seisaku/syokuryo/230301/attach/pdf/230301-51.pdf. Accessed 11 Apr 2024

  6. Kubota Corporation: Kubota Agricultural Machinery Sharing Service. https://agriculture.kubota.co.jp/special/agrisharing/. Accessed 11 Apr 2024

  7. JA Mitsui Leasing, Ltd. Agricultural Machinery Share Lease (Large Scale Combines). https://www.jamitsuilease.co.jp/service/agriculture/share_lease.html. Accessed 11 Apr 2024

  8. Suginouchi, S., Mizuyama, H.: Scheduling auction: a new manufacturing business model for balancing customization and quick delivery. IFIP Adv. Inf. Commun. Technol. 567, 109–117 (2019)

    Google Scholar 

  9. Ahumada, O., Villalobos, J.R., Mason, A.N.: Tactical planning of the production and distribution of fresh agricultural products under uncertainty. Agric. Syst. 112, 17–26 (2012)

    Article  Google Scholar 

  10. Ferrer, J.C., Mac Cawley, A., Maturana, S., Toloza, S., Vera, J.: An optimization approach for scheduling wine grape harvest operations. Int. J. Prod. Econ. 112(2), 985–999 (2008)

    Article  Google Scholar 

  11. Wilks, D.S.: Multisite downscaling of daily precipitation with a stochastic weather generator. Climate Res. 11(2), 125–136 (1999)

    Article  Google Scholar 

  12. Schoof, J.T., Pryor, S.C.: On the proper order of Markov chain model for daily precipitation occurrence in the contiguous United States. J. Appl. Meteorol. Climatol. 47(9), 2477–2486 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yumeto Mino .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mino, Y., Suginouchi, S., Mizuyama, H. (2024). Mechanism Design for Agricultural Machinery Sharing. In: ThĂĽrer, M., Riedel, R., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments. APMS 2024. IFIP Advances in Information and Communication Technology, vol 730. Springer, Cham. https://doi.org/10.1007/978-3-031-71629-4_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-71629-4_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-71628-7

  • Online ISBN: 978-3-031-71629-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics