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      • KCI등재
      • KCI등재

        묵은지 저장사업에 관한 연구 : 묵은지 소비규모 추산 및 저장사업의 타당성 여부를 중심으로

        유도일(Do-il Yoo) 한국농식품정책학회 2016 농업경영정책연구 Vol.43 No.2

        Napa cabbage is a representative excess-supply vegetable. To adjust unstable supply-and-demand, the government considers a storage service for longterm fermented Kimchi (Meukeunji), which extends storage periods of napa cabbage by commercializing Meukeunji under market mechanism. However, associated analyses are impeded due to lack of empirical data. We focus on estimating consumption market size of Meukeunji using survey data gathered from consumers and restaurants. Additionally, we calculate annual storage expense and evaluate economic validity of the commercialization by comparing storage-expense with disposal-expense for napa cabbage under various hypothetical scenarios concerning harvest rates and storage periods for Meukeunji. Results show that the commercialization of Meukeunji is economically infeasible unless storage-expense is paid from at least 4.44 times to at most 18.49 times than disposal-expense by the government.

      • KCI등재

        기상변인을 고려한 채소가격 예측모형 개발

        유도일 ( Do Il Yoo ) 한국농업경제학회 2016 農業經濟硏究 Vol.57 No.1

        Both farmers and consumers can benefit from the provision of more accurate price forecasting in unstable vegetable market. Focusing on the role of climate factors, which is expected to impact on vegetable price, this study develops price forecasting models for napa cabbage using Bayesian Structural Time Series (BSTS) and Vector Autoregressive (VAR) approaches. Across forecasting models, we show the consideration of climate factors enhances forecasting power significantly compared to pure time series models. BSTS and VAR can be used mutually complementarily by providing various forecasting scenarios based on market conditions.

      • KCI등재

        동태적 범위의 경제에 관한 연구 : 복합농가의 다각화 전략을 중심으로

        유도일(Do-il Yoo) 한국농식품정책학회 2020 농업경영정책연구 Vol.47 No.1

        This paper introduces the concept of dynamic economies of scope to account for farmers’ inter-temporal diversification strategy. Using the Bellman equation with a normalized quadratic (NQ) value function, we devise an index measuring scope economies with the consideration of dynamic adjustment cost. For this study, we apply dynamic programming to the case of Korean farmers producing multi-outputs of agricultural, livestock, and other products. The index titled as dynamic economies of scope (DES) is calculated via NQ value functions with parameters of conditional factor demand functions estimated by nonlinear three-stage least squares (NL3SLS). Results show that there exist dynamic scope economies. Farmers with more specialized skills or larger scale land tend to prefer specification strategy than diversification strategy.

      • 농생명산업 바이오테크놀로지 융ㆍ복합 R&D 클러스터 분석

        유도일(Do-il Yoo),이동훈(Dong-Hoon Lee),김관수(Kwansoo Kim) 한국바이오경제학회 2019 바이오경제연구 Vol.2 No.1

        본 연구는 농생명산업 분야 바이오테크놀로지 융·복합 R&D가 4차 산업혁명 시대에 얼마나 부합하는지를 분석하여 관련 시사점을 제시하고자 하는데 그 목적을 둔다. 이를 위해 농촌진흥청의 ‘농촌진흥사업 종합관리시스템(ATIS)’에서 2013년부터 2018년까지 수행된 2,797개 R&D 과제들을 발굴하고 4차 산업혁명의 키워드로 대두되는 인공지능(AI), 사물인터넷(IoT), 사이버 물리 시스템(CPS), 빅 데이터(Big Data)에 대한 텍스트 마이닝 기법을 활용하여 정량지표를 산출한다. 나아가 추출 및 집계된 R&D 과제 데이터베이스 및 정량지표를 대상으로 다차원척도법(MDS)을 적용하여 융ㆍ복합 R&D 과제들이 세부 기준에 따라 어떠한 클러스터를 형성하는지를 파악한다. MDS를 통한 최종 분석 결과는 R&D 과제 간 유사성 및 비유사성으로 구분되어 시각적으로 도식된다. A multidimensional scaling (MDS) approach is used in analyzing similarities and/or dissimilarities among agricultural R&D projects based on various indices concerning a wave of the fourth industrial revolution. We draw 2,797 RFPs (Requests for Proposal) provided by Rural Development Administration via Agriculture Science Technology Information System from 2013 through 2018. Based on a text-mining method, we construct unique indices for consistency accounting for four key words such as artificial intelligence, big data, cyber physics system, and internet of things. Results show that the application of MDS to agricultural R&D projects with consistency indices illustrates how agricultural R&D projects are different or similar with each other in terms of the application of the fourth industrial revolution technologies.

      • KCI등재

        농식품 소비 트렌드 기반 작목 선택 예측 모형

        유도일(Do-il Yoo) 한국농식품정책학회 2021 농업경영정책연구 Vol.48 No.1

        This study develops a crop selection prediction model using agricultural and food consumption trend. Under the expected utility hypothesis (EUH), we devise a crop selection mechanism where farmers choose crops providing the maximum expected utility from their profit. Then, feed forward neural network (FFNN) model is used for the prediction of the expected utility, and vector autoregressive (VAR) model is constructed with atypical Big Data based on web-based text query concerning consumption trend. We apply models to the exclusive consumption trend panel data provided by the Rural Development Administration (RDA) for six specific regions. Empirical results show that various crops are predicted to provide the maximum expected utility and that the prediction model can be improved by considering atypical Big Data.

      • KCI등재

        농사용 전기에너지 수요에 관한 연구* -벼농가의 전기수요를 중심으로-

        박성원(Seongwon Park),유도일(Do-il Yoo) 한국농식품정책학회 2016 농업경영정책연구 Vol.43 No.3

        The agricultural use of electrical energy consumption keeps increasing due to its relatively lower price than those of oil, gas, and electrical energy uses in other fields. For its efficient allocation, it is necessary to investigate the current electrical energy uses in the field of agriculture. This study focuses on estimating the demand functions for agricultural uses of electrical energy. Using electricity- and oil- prices, demographic variables, and climate factors considering seasonality, we develop a pooled OLS model, a panel random effect model, and a quantile regression model with the application of Korean rice farm. Results show that estimated signs for most determinants have expected signs consistent with economic theories. Especially, results from quantile regression models demonstrate that price elasticities are monotonically decreasing as rice farms use more electrical energy, suggesting implications for policy makers concerning efficient electrical energy uses in agriculture, such as electricity price differentiation.

      • KCI등재

        농산물 유통 시설 입지가 인근 아파트 가격에 미치는 영향: 청주 도매시장과 대형마트를 중심으로

        권지수 ( Ji-soo Kwon ),유도일 ( Do-il Yoo ) 한국농업경제학회 2020 農業經濟硏究 Vol.61 No.4

        This study aims to compare the effect of agricultural wholesale market and supermarket location on the price of nearby apartments and to ascertain whether the agricultural wholesale market has the characteristics of an undesirable facility deteriorating the real assets value. If the agricultural wholesale market depreciates the value of real assets, it could hinder its role as a socially essential facility. In order to solve this problem, it is necessary to consider how to adjust the imbalance between benefits and harmful effects. In this study, the hedonic price model is set up as a basic model, and spatial econometrics models are used to consider spatial dependence. Empirical data is composed of apartment prices, apartment characteristics, and location characteristics. The results show that apartment prices are positively affected by area, brand awareness, the number of parking spaces, households, distance to agricultural wholesale market, and adjacency of middle school. In contrast, apartment prices are negatively affected by elapsed years, distance to supermarket, and adjacency of shopping mall and theaters. Especially, location effects of the agricultural wholesale market are shown to be different from those of the supermarket. The apartment prices are lower for the apartments adjacent to the agricultural wholesale market, but higher for the adjacent to the supermarket. It seems that negative location effect of the agricultural wholesale market dominates its positive effects. The implications of this study are as follows: first, the spatial econometrics models with spatial dependence provide more robust estimation results than the hedonic price model. Second, estimated parameters concerning the location of agri-marketing facilities empirically show the local residents' negative perceptions about agri-marketing facilities. Third, this study is expected to be a reference for selecting the location of the agricultural wholesale market.

      • KCI등재

        농식품 기업의 인재 선택 요인 분석

        김소진(So-jin Kim),유도일(Do-il Yoo),김선웅(Seon-woong Kim) 한국농업경제학회 2020 農業經濟硏究 Vol.61 No.3

        The primary objective of this study is to identify the factors affecting recruitment in agri-food companies for alleviating the imbalance between labor supply and demand. Data were collected based on a choice experiment, one of the stated preference methods. In the survey, participants are asked to make a choice among three different alternatives including one no-choice option and each alternative was described by eight attributes. Based on the results of a random parameter logit model with allowing the existence of preference heterogeneity, it was found that agri-food companies consider ‘Knowledge of agriculture and rural area’ as the most important factor and ‘Major in college’ as the second one when recruiting applicants. Surprisingly, the higher TOEIC scores can have a negative effect on getting a job.

      • KCI등재

        '후지' 사과즙을 첨가한 반죽 및 식빵의 품질 특성

        차승현,신나리,안혜미,유도일,김대일,현태경,장금일,Cha, Seung-Hyeon,Shin, Na-ri,An, Hye-mi,Yoo, Do-Il,Kim, Dae-Il,Hyun, Tae Kyung,Jang, Keum-Il 한국식품영양학회 2019 韓國食品營養學會誌 Vol.32 No.2

        In this study, bread was prepared using various amount of 'Fuji' apple juice, and quality and antioxidant properties investigated. Bread was prepared with water, butter, yeast, salt, sugar, wheat flour, skim milk powder and 10, 20 and 30% (w/w) 'Fuji' apple juice. Leavening ability and pH of dough were also investigated. Volume, pH, specific volume, baking-loss rate, chromaticity and texture were investigated as quality properties, whereas the total polyphenol content, ABTS and DPPH radical scavenging activity as the antioxidant properties of bread containing various amount of apple juice. The pH and leavening ability of dough were observed to decrease with increasing amount of apple juice. In the quality properties of bread, pH, volume, specific volume, and baking-loss rate decreased. Regarding chromaticity and texture of bread prepared with increasing amount of 'Fuji' apple juice, L (bright) values at crust and crumb of bread decreased, while hardness, chewiness and gumminess increased. Total polyphenol content increased with increasing amount of apple juice, while DPPH and ABTS radical scavenging activities showed no significant differences. Consequently, these results support the possible use of apple juice for baking foods in food industry, as addition of apple juice enhances the quality and antioxidant properties of bread.

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