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      A Study on the Influence of Oil Price Fluctuations on Agricultural Value-Added

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      https://www.riss.kr/link?id=A108860913

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      다국어 초록 (Multilingual Abstract)

      Recently, the volatility of oil prices has significantly increased due to various factors. This study aims to analyze the influences of oil price fluctuations on agricultural value added, with a particular focus on comparing the magnitude of ripple effects across different categories. In order to achieve this, we designated not only oil prices but also exchange rates and the prices of three grains as random variables, and developed a stochastic model that considers their correlations. When oil prices fluctuate within expected ranges, it was analyzed that agricultural value-added changes by approximately 540 billion KRW. When examined by category, it was found that fruit-bearing vegetables exhibited the largest ripple effect. As a policy alternative to alleviate the farmers’ operational risk, this study introduces margin insurance to effectively manage both the increases in input costs due to rising oil prices and the decreases in agricultural commodity prices.
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      Recently, the volatility of oil prices has significantly increased due to various factors. This study aims to analyze the influences of oil price fluctuations on agricultural value added, with a particular focus on comparing the magnitude of ripple ef...

      Recently, the volatility of oil prices has significantly increased due to various factors. This study aims to analyze the influences of oil price fluctuations on agricultural value added, with a particular focus on comparing the magnitude of ripple effects across different categories. In order to achieve this, we designated not only oil prices but also exchange rates and the prices of three grains as random variables, and developed a stochastic model that considers their correlations. When oil prices fluctuate within expected ranges, it was analyzed that agricultural value-added changes by approximately 540 billion KRW. When examined by category, it was found that fruit-bearing vegetables exhibited the largest ripple effect. As a policy alternative to alleviate the farmers’ operational risk, this study introduces margin insurance to effectively manage both the increases in input costs due to rising oil prices and the decreases in agricultural commodity prices.

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      참고문헌 (Reference)

      1 한두봉 ; 임정빈, "확률적 다기간 동태 최적화 모형을 응용한 쌀 재고 수준의 계측" 한국농업경제학회 45 (45): 111-137, 2004

      2 순병민 ; 김준호 ; 서홍석, "확률적 기법을 이용한 단수 불확실성 하에서의 곡물모형 구축" 한국농업경제학회 62 (62): 37-54, 2021

      3 USDA, "USDA Agricultural Projections to 2027" World Agricultural Outlook Board, USDA 117-, 2018

      4 Beckmann, Joscha, "The Relationship between Oil Prices and Exchange Rates: Revisiting Theory and Evidence" 88 (88): 104772-, 2020

      5 Soon, Byung-Min, "The Impact of Potential Korea-US Free Trade Agreement Renegotiation on the Korean Rice Market and Trade" 51 (51): 434-449, 2019

      6 Yu, Kihwan, "The Effect of Minimum Wage Increase on Welfare of Agricultural Production Sector" Seoul National University 2019

      7 OECD, "Stochastic Analysis of the OECD-FAO Agricultural Outlook 2017-2026" OECD/FAO 2017

      8 Ker, Alan P, "Risk Management in Canada’s Agricultural Sector in light og COVID-19" 68 (68): 251-258, 2020

      9 Zhao, Lu-Tao, "Predicting Oil Prices: An Analysis of Oil Price Volatility Cycle and Financial Markets" 57 (57): 1068-1087, 2021

      10 EIA, "Petroleum Price"

      1 한두봉 ; 임정빈, "확률적 다기간 동태 최적화 모형을 응용한 쌀 재고 수준의 계측" 한국농업경제학회 45 (45): 111-137, 2004

      2 순병민 ; 김준호 ; 서홍석, "확률적 기법을 이용한 단수 불확실성 하에서의 곡물모형 구축" 한국농업경제학회 62 (62): 37-54, 2021

      3 USDA, "USDA Agricultural Projections to 2027" World Agricultural Outlook Board, USDA 117-, 2018

      4 Beckmann, Joscha, "The Relationship between Oil Prices and Exchange Rates: Revisiting Theory and Evidence" 88 (88): 104772-, 2020

      5 Soon, Byung-Min, "The Impact of Potential Korea-US Free Trade Agreement Renegotiation on the Korean Rice Market and Trade" 51 (51): 434-449, 2019

      6 Yu, Kihwan, "The Effect of Minimum Wage Increase on Welfare of Agricultural Production Sector" Seoul National University 2019

      7 OECD, "Stochastic Analysis of the OECD-FAO Agricultural Outlook 2017-2026" OECD/FAO 2017

      8 Ker, Alan P, "Risk Management in Canada’s Agricultural Sector in light og COVID-19" 68 (68): 251-258, 2020

      9 Zhao, Lu-Tao, "Predicting Oil Prices: An Analysis of Oil Price Volatility Cycle and Financial Markets" 57 (57): 1068-1087, 2021

      10 EIA, "Petroleum Price"

      11 Araujo-Enciso, S. R., "Partial Stochastic Analysis with the Aglink-Cosimo Model: A Methodological Overview" Publications Office of the European Union 2017

      12 Kumar, Dilip, "On Volatility Transmission from Crude Oil to Agricultural Commodities" 7 (7): 87-101, 2017

      13 Nwoko Ikeoma C., "Oil Price and Food Price Volatility Dynamics : The Case of Nigeria" 2 (2): 1142413-, 2016

      14 Muntazir, Hussain, "Oil Price and Exchange Rate Co-movements in Asian Countries: Detrended Cross-correlation Approach" 465 (465): 338-346, 2017

      15 Sklar, Abe, "Fonctions de répartition à n dimensions et leurs marges" 8 (8): 229-231, 1959

      16 Shields, Dennis A, "Federal Crop Insurance: Background" Congressional Research Service 2015

      17 FAPRI, "FAPRI-MU Stochastic U.S. Crop Model Documentation" The University of Missouri 2019

      18 Economic Statistics System, Bank of Korea, "Exchange Rates"

      19 Min, Hokey, "Examining the Impact of Energy Price Volatility on Commodity Prices from Energy Supply Chain Perspectives" 15 (15): 1-16, 2022

      20 Sun, Yanpeng, "Connectedness between Oil and Agricultural Commodity Prices during Tranquil and Volatile Period. Is Crude Oil a Victim Indeed?" 72 : 102131-, 2021

      21 Arbenz, Philipp, "Bayesian Copulae Distributions, with Application to Operational Risk Management – Some Comments" 15 (15): 105-108, 2013

      22 Seo, Hong-Seok, "A Study on Development of Korea Agricultural Simulation Model 2020" Korea Rural Economic Institute 2020

      23 Korea Statistics, "2022 Farm and Fisheries Economic Survey"

      24 Korea Statistics, "2022 Farm Sales and Purchase Price Survey"

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