Korean Journal of Organic Agriculture (한국유기농업학회지)

Korean Association of Organic Agriculture (한국유기농업학회)
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A Study on the Perception and Evaluation of the Socioeconomic Value of the Agricultural Income Survey

농산물소득조사의 사회경제적 가치 인식 및 평가에 관한 연구

  • 이춘수 (순천대학교 농업경제학과) ;
  • 정다은 (단국대학교 환경자원경제학과) ;
  • 양성범 (단국대학교 환경자원경제학과)
  • Received : 2023.04.18
  • Accepted : 2023.10.30
  • Published : 2023.11.30
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Abstract

This study analyzed farmers' and experts' perceptions of the Agricultural Income Survey (AIS) conducted by the Rural Development Administration and estimated its socioeconomic value. The research surveyed 104 farmers in Gyeongsangbuk-do and Jeollanam-do. To estimate the AIS's socioeconomic value, this study examined public information projects in the field of agriculture and public information, proposing an estimation methodology based on prior research. The socioeconomic value of the AIS was calculated in three stages (information generation, collection and analysis, and utilization) using the replacement cost and contingent valuation methods. In 2020, the estimated socioeconomic value of the AIS ranged from a minimum of KRW 631.2 billion to a maximum of KRW 799.1 billion per year. To improve the socioeconomic value of the AIS, it is important to booster awareness, expand sample sizes for more reliable data, increase manpower and budget, refine survey questions, and enhance analyzing capabilities. And it's crucial to foster cooperation with surveyed farms, promote collaboration among investigative agencies, improve investigator skills, and strengthen management capabilities to facilitate information dissemination.

Keywords

References

  1. Adams, R. M., K. J. Bryant, B. A. Mccarl, D. M. Legler, J. O'Brien, A. Solow, and R. Weiher. 1995. Value of Improved Long-Range Weather Information. Contemporary Economic Policy. 13(3): 10-19.  https://doi.org/10.1111/j.1465-7287.1995.tb00720.x
  2. Cho, Y. S., Y. M. Koo, J. S. Lee, and J. W. Lee. 2011. Economic Benefit Analysis of Urban Meteorological Information Service Using Contingent Valuation Method. Environmental and Resource Economics Review. 20(4): 643-662. 
  3. Hahn, Y. H., C. H. Shin, and H. I. Kang. 2000. Economic Value of Technological Information: An Application of Contingent Valuation. Journal of the Korean Society for Information Management. 17(2): 7-18. 
  4. Kim, B. S., T. K. Kim, T. Y. Kim, S. W. Back, Y. K. Shin, D. H. An, C. J. Yu, and W. H. Chung. 2017. Farm Management of the Smart Era. Pakyoungsa. 
  5. Kim, D. S., J. W. Kim, H. J. Lee, and M. S. Kang. 2017. Economic Valuation of Public Sector Data: A Case Study on Small Business Credit Guarantee Data. Knowledge Management Research. 18(1): 67-81. 
  6. Lee, C. S., H. S. Ko, H. K. Kim, and S. B. Yang. 2018. A Study on the Inspectors' Perception and Improvement of Agriculture Income Survey. Korean Journal of Food Marketing Economics. 35(2): 1-20. 
  7. Lee, C. S., S. J. Yun, G. A. Kim, and S. R. Yang. 2015. An Analysis of Economic Efficiency of Fruits Farms: the Case of Apples, Pears, and Grapes Farms. Korea Journal of Organic Agriculture. 23(4): 615-641.  https://doi.org/10.11625/KJOA.2015.23.4.615
  8. Lee, J. B., E. Y. Han, and Y. J. Lee. 2020. Valuation and Activation of Open Data for the Development of AI Industry. Korea Information Society Development Institute Basic Research 20-09. 
  9. Lee, J. J. and W. S. Kim. 1999. A Study on Policy for Exploiting Public Information in Private Sector. Journal of the Korean Society for Library and Information Science. 33(2):185-202. 
  10. Lee, S. H., S. H. Ha, and K. H. Jeong. 2018. Valuation of Public Data Using Stated Preference Method: The Case of Agriculture Soil Database. The Journal of Information Systems. 27(4): 149-165. 
  11. Lin, H. I., J. L. Liou, T. H. Chang, H. Y. Liu, F. I. Wen, P. T. Liu, and D. F. Chiu. 2021. Economic Assessment of Meteorological Information Services for Aquaculture in Taiwan. Atmosphere. 12(7): 822. https://doi.org /10.3390/atmos12070822. 
  12. MOEF. 2021. 2021 Public Institution Management Evaluation Manual (Amended). Ministry of Economy and Finance. 
  13. Moody. D. and P. Walsh. 1999. Measuring the Value of Information: An Asset Valuation Approach. The 7th European Conference on Information Systems (ECIS '99). Copenhagen Business School. Frederiksberg. Denmark. 23-25 June. 1999. 
  14. Roh. C. C. 2005. A Value Evaluation of Cultural Tourism Information System for Activation of Inbound: Application to Fuzzy Numbers. International Journal of Tourism Management and Science. 19(1): 55-73. 
  15. Seo, S. T., U. S. Jeong, J. H. Ha, S. H. Jeon, and S. H. Jeong. 2018. A Study on the Effective Management Record Operation of Agricultural Income Survey and the Introduction of Province Wide-area Survey System. Chungbuk National University Industry-Academic Cooperation Group. Rural Development Administration Research Project. 
  16. Si, S. and H. Xiuying. 2014. Public Library Service Value Assession in Xi'an by CVM. International Conference on Education, Management and Computing Technology (ICEMCT 2014): 545-547. 
  17. Woo, S. G., H. D. Kim, J. S. Han, T. G. Jeong, D. H. Lee, H. K. Kim, J. W. Lee, B. K. Kim, J. H. Choi, and S. H. Ko. 2007. Profitability Analysys of Agricultural Production. Rural Development Administration. 
  18. Yang, S. B., C. S. Lee, D. E. Jung, J. A. Yang, and Y. J. Lee. 2020. An Effect Analysis of the Expansion of the Province Wide-area Survey System of the Agricultural Income Survey. The Korean Association of Agricultural Food Policy. Rural Development Administration Research Project. 
  19. Yang, S. B., C. S. Lee, G. H. Kim, S. B. Lee, G. W. Lim, and J. H. Lee. 2019. A Study on the Evaluation of Social Value and Performance of Korea Rural Community Corporation. Korea Rural Community Corporation Rural Research Institute Research Project. 
  20. Yang, S. R., C. S. Lee, G. A. Kim, D. E. Jung, and S. Y. Jeong. 2020. Evaluation of Social Value of Regional Development Project of Korea Rural Community Corporation and the Introduction of Social Value Impact Assessment System. Korea University Industry-Academic Cooperation Group. Korea Rural Community Corporation Rural Research Institute Research Project.