Korean Journal of Agricultural Science (농업과학연구)

Institute of Agricultural Science, CNU (충남대학교 농업과학연구소)
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Policy evaluation of the rice market isolation system and production adjustment system

  • Dae Young Kwak (Department of Agricultural Economics, Chungnam National University) ;
  • Sukho Han (Department of Agricultural Economics, Chungnam National University)
  • Received : 2023.08.11
  • Accepted : 2023.09.15
  • Published : 2023.12.01
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Abstract

The purpose of this study was to examine the effectiveness and efficiency of a policy by comparing and analyzing the impact of the rice market isolation system and production adjustment system (strategic crops direct payment system that induces the cultivation of other crops instead of rice) on rice supply, rice price, and government's financial expenditure. To achieve this purpose, a rice supply and demand forecasting and policy simulation model was developed in this study using a partial equilibrium model limited to a single item (rice), a dynamic equation model system, and a structural equation system that reflects the casual relationship between variables with economic theory. The rice policy analysis model used a recursive model and not a simultaneous equation model. The policy is distinct from that of previous studies, in which changes in government's policy affected the price of rice during harvest and the lean season before the next harvest, and price changes affected the supply and demand of rice according to the modeling, that is, a more specific policy effect analysis. The analysis showed that the market isolation system increased government's financial expenditure compared to the production adjustment system, suggesting low policy financial efficiency, low policy effectiveness on target, and increased harvest price. In particular, the market isolation system temporarily increased the price during harvest season but decreased the price during the lean season due to an increase in ending stock caused by increased production and government stock. Therefore, a decrease in price during the lean season may decrease annual farm-gate prices, and the reverse seasonal amplitude is expected to intensify.

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References

  1. Bank of Korea. 2023. Economic outlook report 2023-5. Bank of Korea, Seoul, Korea. ISSN:2288-7083. [in Korean]
  2. Cagan P. 1956. The monetary dynamics of hyperinflation. In Studies in the quantity theory of money edited by Friedman M. pp. 25-117. University of Chicago Press, Chicago, USA.
  3. Han SH, Heo SJ, Lee NS. 2021. A study of a flatfish outlook model using a partial equilibrium model approach based on a DEEM system. Korean Journal of Agricultural Science 48:815-829. [in Korean] https://doi.org/10.7744/KJOAS.20210069
  4. Han SH, Jang HS. 2019. Maintenance of the supply and demand forecast model for each major seafood item in 2018. Korea Maritime Institute, Busan, Korea. [in Korean]
  5. Han SH, Jang HS. 2020. Maintenance of the supply and demand forecast model for each major seafood item in 2019. Korea Maritime Institute, Busan, Korea. [in Korean]
  6. Han SH, Seo HS, Youm JW, Kim CH. 2016. A study on development of Korea agricultural simulation model 2015. M137. Korea Rural Economic Institute, Naju, Korea. [in Korean]
  7. KAMIS (Korea Agricultural Marketing Information Service). 2023. Agricultural price information. Accessed in https://www.kamis.or.kr/customer/price/wholesale/item.do on 28 June 2023. [in Korean]
  8. Kim JI, Joe NW. 2022. An analysis of the effect of mandatory rice market isolation. Korea Rural Economic Institute, Naju, Korea. [in Korean]
  9. Kim TH, Chae JH. 2017. The government's post-rice supply and demand management status and improvement direction. Agricultural outlook 2017. Korea Rural Economic Institute, Naju, Korea. [in Korean]
  10. Kim TH, Yang SR. 2022. Analysis on income and income distributional effects of the public direct payment system. The Korean Journal of Agricultural Economics 63:17-42. [in Korean]
  11. KOSIS (Korean Statistical Information Service). 2021. Estimated population by scenario. Accessed in https://kosis.kr/index/index.do on 28 June 2023. [in Korean]
  12. KREI (Korea Rural Economic Institute). 2023. Agricultural Outlook 2023. E04-2023. KREI, Naju, Korea. [in Korean]
  13. Lee MH, Kim KS. 2020. An estimation of production coupling effects of direct payments for rice farms. Journal of Rural Development 43:1-20. [in Korean]
  14. Lovell M. 1961. Manufacturers' inventories, sales expectations, and the acceleration principle. Econometrica 29:293-314.
  15. MAFRA (Ministry of Agriculture, Food and Rural Affairs, Korea). 2021. Grain policy data. Accessed in https://www.mafra.go.kr/bbs/mafra/71/331424/artclView.do on 27 June 2023. [in Korea]
  16. Min SH, Kim K, Park JK, An D. 2015. An evaluation of the effects of rice income compensation payment program on farm income by farm type. The Korean Journal of Agricultural Economics 56:51-70. [in Korean]
  17. Min SH, Kim KS. 2019. Impacts of rice income direct payments on farm productivity. The Korean Journal of Agricultural Economics 60:89-111. [in Korean]
  18. Nerlove M. 1956. Estimates of the elasticities of supply selected agricultural commodities. Journal of Farm Economics 38:496-506.
  19. Noh JS, Lim SS. 2006. The analysis for the economic effect of Korean rice policy. Korean Journal of Agricultural Management and Policy 33:89-104. [in Korean]
  20. Womack AW. 1976. The U.S. demand for corn, sorghum, oats, and barley: An econometric analysis. Economic report 76-5. Department of Agriculture and Applied Economics, University of Minnesota, St. Paul, USA.
  21. Yoon JY, Guk SY, Lee SH, Lee BH. 2018. The effects of public stockholdings on rice prices at harvest season. Journal of Rural Development 41:1-16. [in Korean]