Korean Journal of Agricultural Science (농업과학연구)

Institute of Agricultural Science, CNU (충남대학교 농업과학연구소)
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Assessing the adoption potential of a smart greenhouse farming system for tomatoes and strawberries using the TOA-MD model

  • Lee, Won Seok (Department of Agricultural Economics and Rural Development, Global Smart Farm Convergence Major, College of Agriculture and Life Sciences, Seoul National University) ;
  • Kim, Hyun Seok (Department of Agricultural Economics and Rural Development, Global Smart Farm Convergence Major, College of Agriculture and Life Sciences, Seoul National University)
  • Received : 2020.05.23
  • Accepted : 2020.09.16
  • Published : 2020.12.01
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Abstract

The purpose of this study was to estimate the economic evaluation of a smart farm investment for tomatoes and strawberries. In addition, the potential adoption rate of the smart farm was derived for different scenarios. This study analyzed the economic evaluation with the net present value (NPV) method and estimated the adoption potential of the smart farm with the trade-off analysis, minimum data (TOA-MD) model. The results were as follows: The analysis of the net present value shows that the smart farm investment for the two crops are economically feasible, and the minimum prices for the tomatoes and strawberries should be 1,179 and 3,797 won/kg to secure a sufficient economic feasibility for the smart farm investment. Next, the analysis of the potential adoption rates for smart farms through the TOA-MD model showed that when the support ratio for the adoption of a smart farm system was 50% and the price increase rates were, respectively, - 5, 2.5, 0, 2.5, and 5%, the conversion rates for tomato farms to switch to smart farms were 0.97, 1.78, 3.05, 4.91, and 7.47%, while the ratios of the strawberry farms to switch to smart farms were 0.12, 0.29, 0.65, 1.33, and 2.53%, respectively. This study has some known limitations, but it provides useful information on decision making about smart farm adoption and can contribute to government policies on smart farms.

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References

  1. Antle JM, Diagana B, Stoorvogel JJ, Valdivia RO. 2010. Minimum-data analysis of ecosystem service supply in semi-subsistence agricultural systems: Evidence from Kenya and Senegal. Australian Journal of Agricultural Resource Economics 54:601-617. https://doi.org/10.1111/j.1467-8489.2010.00511.x
  2. Antle JM, Valdivia RO. 2016. Modeling the supply of ecosystem services from agriculture: A minimum-data approach. The Australian Journal of Agricultural and Resource Economics 50:1-15. https://doi.org/10.1111/j.1467-8489.2006.00315.x
  3. Claessens L, Antle JM, Stoorvogel JJ, Valdivia RO, Thornton PK, Herrero M. 2012. A method for evaluating climate change adaptation strategies for small-scale farmers using survey, experimental and modeled data. Agricultural System 111:85-95. https://doi.org/10.1016/j.agsy.2012.05.003
  4. Ilukor J, Bagamba F, Bashaasha B. 2014. Application of the TOA-MD model to assess adoption potential of improved sweet potato technologies by rural poor farm households under climate change: The case of Kabale district in Uganda. Food Security 6:359-368. https://doi.org/10.1007/s12571-014-0350-8
  5. Kim EJ, Kim CS, Uhm MJ, Kim KH, Jung HS, Kim JM. 2017. Effect of 1st generation smart-farm technology on strawberry (Fragaria × ananassa Duch.) cultivation in Jeonbuk province. Korean Society for Horticultural Science 35:100. [in Korean]
  6. Kim ST, Kim NS, Kim YC, Lee SH, Huh JW, Hwang SW, Kim SJ. 2016a. 2016 smart farm performance analysis. Korea Rural Economic Institute, Naju, Korea. [in Korean]
  7. Kim YJ, Park JY, Park YG. 2016b. An analysis of the current Status and success factors of smart farms. Korea Rural Economic Institute, Naju, Korea. [in Korean]
  8. Koo SM, Kim DS, Koo HD, Lee HJ, Park BJ, Kim KC. 2017. A case study on the economic feasibility of different patterns of green care and healing complexes. Korea Journal of Agricultural Science 44:451-461. [in Korean] https://doi.org/10.7744/kjoas.20170033
  9. Ku KY, Lee JS, Kwak CS, Bang SY, Lee SY. 2013. An analysis of the developed economic effect of the new horticultural crop varieties through NPV. Korea Journal of Forest Economics 31:201. [in Korean]
  10. Lee DG, Song WG, Jeong YW, Jeong MC, Im GJ, Yoon SH, Kwon HH. 2008. The selection of treatment method of tailing dam using net present value. Korean Geo-Environmental Society 9:337-342. [in Korean]
  11. Lee DH. 2018. Real options analysis for smart farm investment with strawberries and tomato farming. Legislation and Policy Studies 10:275-303. [in Korean]
  12. RDA (Rural Development Administration). 2009-2018. Agricultural and livestock product income data collection. Accessed in https://amis.rda.go.kr/portal/ap/mn/incomeAnalysisLst/lst on 21 October 2020.