Research Reports
Structural Transformation in Korean Agriculture: Changes and Challenges (Year 2 of 2)
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AuthorRhew, Chanhee
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Publication Date2021.02.26
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Original
Background and Purpose
Korean agriculture has undergone slow growth and challenges at home and abroad since the 1990s. Amid the further increasing agricultural market opening, local produce consumption is likely to go down and the public calls for stable food supply and agriculture’s diverse roles and functions(multifunctionality). Rural communities are in difficulties amid the stagnant growth in farm households’ income. Besides, the population decline and aging are aggravating the rural situation.
Those issues are related to whether the agricultural policy the nation has pursued, focusing on competitiveness and efficiency, is still relevant in the future or what directions it should go. Therefore, it is necessary to explore the problems mentioned above and prepare solutions. At the same time we need to review the current state to react efficiently to structural transformations in the agricultural sector.
Therefore, we need to explore what has caused the transformations and how they impacted the nation in macroeconomic (the agricultural sector) and microeconomic (farm households) perspectives. Also, it is necessary to see what outcomes the government gained from various programs it applied and what challenges it still faces. Through thorough discussions on all these challenges and results, it will be possible to suggest directions that Korean agriculture will move forward.
Research Methodology
For this research, we used a literature review, surveys, statistical analysis, and quantitative analysis. We caught a big picture of the agricultural transformations and evaluated the policies related to the agricultural structure through the review of previous studies. Our surveys asked desirable agricultural models, vital impacts, and countermeasures to farmers, policymakers, and experts. Based on the survey result, we devised a desirable agricultural model. Quantitative analysis was used for drawing agricultural outlooks. We predicted what the agricultural structure would look like if the current trend goes on. We also saw the difference between it and the desired model, and tried to identify the reason for the gap.
(For more information, please refer to the report.)
Researchers: Rhew Chanhee, Kim Taehun, Kim Taehoo, Ha Inhye
Research period: 2020. 1. ~ 2020. 12.
E-mail address: chrhew@krei.re.kr
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