Korean Journal of Organic Agriculture (한국유기농업학회지)

Korean Association of Organic Agriculture (한국유기농업학회)
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An Analysis on Priority of Ginseng Industry Policy using Analytical Hierarchy Process

AHP를 이용한 인삼산업 발전정책 우선순위 분석

  • Received : 2021.09.09
  • Accepted : 2021.10.18
  • Published : 2021.11.30
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Abstract

Since ancient times, ginseng has been cultivated in Korea, and related cultures are also rich. However, the domestic ginseng industry is currently facing many crises. As a source of ginseng, Korea needs to come up with a strategy to cope with the crisis of the ginseng industry and implement it efficiently and effectively using limited resources. This study used the Analytic Hierarchy Process (AHP) to analyze the priority of policies so that ginseng policies can be effectively implemented. The survey was conducted by dividing into two groups of experts, 'policy managers' and 'field experts'. As a result of the study, policy managers seem to believe that the consumption of ginseng is important for the development of the ginseng industry. On the other hand, the field expert group believes that the government should take the initiative to increase the supply capacity of the ginseng industry. Through this study, it will be possible to help in determining the importance of policy, recognizing that the viewpoints of policy can be different for the ginseng industry to develop.

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References

  1. Al-Harb. K. M. Al-S. 2001. Application of the AHP in project management. International Journal of Project Management.
  2. Ham K. H. 2020. Ginseng cultivation and medicinal culture has only recently become a national intangible cultural asset ... Holders are all citizens. news herald.
  3. Kim, C. G. and D. H Moon. 2013. Policy Priority of Green Growth in Agriculture and Rural Sectors Using the Analytic Hierarchy Process (AHP). Korean J. Rural Development. 35(5): 45-64.
  4. Kim, T. J. and G. S Lee. 2006. The Site Analysis for Crop Cultivation Using GIS-Based AHP Method. Korean J. Korean Society of Civil Engineers. 26(4D): 695-702.
  5. Lim, S. H. 2021. An Analysis on priority of Ginseng Industry policy using Analytical Hierarchy Process. Thesis. Chonnam National University.
  6. Noh,J. S., Y. S. Ahn, and K. H. Kim. 2013. Evaluating the Priority of Policy in Medicinal Crop Industry by AHP Method. Korean J. Agricultural Management and Policy. 40(2): 491-511.
  7. Park. H., G. G. Go, J. S. Song, and K. S. Sin. 2000. A Study on Applying Multi-Criteria Analysis to Pre-Feasibility Study. Korea Development Institute.
  8. Park. H., G. G. Go, and S. H. Yu. 2001. A study on applying multi-criteria analysis to pre-feasibility study(II). Korea Development Institute.
  9. Satty. T. L. and L. G. Vargas. 1980. Hierarchical Analysis of Behavior in. Competition: Prediction in Chess. Behavioral Science 25(3): 180-191. https://doi.org/10.1002/bs.3830250303
  10. Satty. T. 1982. The Logic of Priorities. Kluwer-Nijhoff Publishing. London.
  11. Satty. T. 1985. Modeling Behavior in Competition: The Analytic Hierarchy Process. Applied Mathematics and Computation 16(1): 49-92. https://doi.org/10.1016/0096-3003(85)90009-8
  12. Suh. W. S. and C. W. Nam. 2015. Status quo of Ginseng Production and Upbringing Policies in China and Korean Ginseng Competitiveness in International Market. Korean J. Northern Agriculture Research. 38(1): 14-41.
  13. Sung M. H., C. G. Jeon, K. R. Choi, W. J. Kim. and S. G. Kim. 2016. A Study on Changes in Consumption Patterns in the Ginseng Market and the Overall Revision of the Ginseng Industry Act to foster the Ginseng Industry. Korea Rural Economic Institute.
  14. Sung M. H., K. S. Kang. and B. O. Lim. 2018. A Study on the Mid- to Long-term Development Plan for the Ginseng Industry. Korea Rural Economic Institute.
  15. Sung M. H. 2019. Changes in the Ginseng Industry Environment and Policy Tasks. Korea Rural Economic Institute.
  16. Wong. J. K. W. and H. Li. 2008. Application of the Analytic Hierarchy Process(AHP) in Multi-Criteria Analysis of the Selection of Intelligent Building Systems. Building and Environment. 43: 108-125. https://doi.org/10.1016/j.buildenv.2006.11.019