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Farm Business Model on Smart Farming Technology for Sustainable Farmland in Hilly and Mountainous Areas of Japan

Author

Listed:
  • Haruhiko Iba

    (Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan)

  • Apichaya Lilavanichakul

    (Faculty of Agro-Industry, Kasetsart University, Bangkok 10900, Thailand)

Abstract

Farmlands in Japan’s hilly and mountainous (HM) areas face the critical challenges of aging farmers, depopulation, and disadvantageous conditions for farm management and economic performance, leading to the abandonment of farmland. Rice farming in HM areas is rarely profitable; however, it occupies 40% of Japanese agricultural production and affects food security. We proposed a farm business model to utilize smart farming technology (SFT) for rice production in the HM areas and analyzed the financial performance of the case study. The farm business model applying SFT has three stakeholders: collective activity by the farmers, farm operations by the enterprise, and a government subsidy. The model conceptualizes diversifying farm business into rice farming and other business units. Three scenarios of SFT in the farm business model consist of combinations of conventional and SFT machines: conventional machines, intermediate SFT, and advanced SFT. The results of the financial analysis on the case study were consistent with the theoretical framework of farm business models. This study revealed that the elasticity of labor productivity on fixed assets of advanced SFT (0.94) was more productive than intermediate SFT (0.63). To utilize SFT to sustain farmland in HM areas, balance between financial security and profitability, and linkage of the enterprise and community are indispensable.

Suggested Citation

  • Haruhiko Iba & Apichaya Lilavanichakul, 2023. "Farm Business Model on Smart Farming Technology for Sustainable Farmland in Hilly and Mountainous Areas of Japan," Land, MDPI, vol. 12(3), pages 1-18, March.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:3:p:592-:d:1084938
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    References listed on IDEAS

    as
    1. Guandong Su & Hidenori Okahashi & Lin Chen, 2018. "Spatial Pattern of Farmland Abandonment in Japan: Identification and Determinants," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    2. Keiko Sasaki & Stefan Hotes & Tomohiro Ichinose & Tomoko Doko & Volkmar Wolters, 2021. "Hotspots of Agricultural Ecosystem Services and Farmland Biodiversity Overlap with Areas at Risk of Land Abandonment in Japan," Land, MDPI, vol. 10(10), pages 1-20, October.
    3. Sebastian Lieder & Christoph Schröter-Schlaack, 2021. "Smart Farming Technologies in Arable Farming: Towards a Holistic Assessment of Opportunities and Risks," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    4. Kashu, Yuya, 2021. "Policies for Development of Rural Areas," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 23.
    5. Akitsu, Motoki, 2010. "The Articulation of Rice Policy and Rural Social Development Policy Beyond the Discussion on Social Adaptability to the New System," Journal of Rural Economics, Agricultural Economics Society of Japan, vol. 82(2), pages 1-9, September.
    6. Thomas Dax & Karin Schroll & Ingrid Machold & Martyna Derszniak-Noirjean & Bernd Schuh & Mailin Gaupp-Berghausen, 2021. "Land Abandonment in Mountain Areas of the EU: An Inevitable Side Effect of Farming Modernization and Neglected Threat to Sustainable Land Use," Land, MDPI, vol. 10(6), pages 1-17, June.
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