심지민 교수

본고는 2006~2021년 분기별 ‘가계동향조사’ 자료를 이용해 소비자들의 농식품 소비지출 비중이 어떤 요인에 의해 영향을 받아 결정되는지를 분석하였고, 가구원 수 감소로 대표되는 가족구조 변화가 미치는 영향을 계량분석 하였다. 분석을 위해 신축적인 소비행위를 허용하는 EASI(Exact Affine Stone Index) 수요체계를 추정하였다. 1인과 2인 가구의 구성비 증가는 곡물, 육류, 낙농의 지출 비중을 줄이고 수산물, 과일의 비중을 늘리는 등의 변화를 유발했지만, 두 가구 유형은 일부 품목에서는 서로 반대 방향의 선호도를 보이기도 하였다. 또한 가구 소득, 가구주 연령, 임금 소득자로의 전환, 식품 선호도 변화 등이 식품 소비에 미치는 영향의 방향과 크기도 가족 수에 따라 다르다는 것이 확인되었다. 지난 15년 동안 가족 수, 연령, 소득원 등 여러 특성의 동시적 변화에 의해 발생한 가족구조 변화는 유의한 소비행태변화를 품목별로 초래하였는데, 지속적으로 지출비중이 증가하는

In order to resolve the rice excess supply problem in Korea the government promotes adopting a newly developed floury rice variety which is more suitable for processed rice foods. Despite the conversion subsidy being provided by the government, producers are very much concerned about the uncertainties of the new variety in terms of productivity and future price. We conducted a dichotomous-choice format survey with 200 respondents and derived their willingness to adopt prices. Although the additi

As climate change intensifies extreme rainfall events, the risk of dam breaches in aging agricultural reservoirs is increasing. In Korea, Emergency ActionPlan (EAP) is typically initiated using one-dimensional models s uch as DAMBRK, followed by h igh-resolution s imulations f or detailed analysis. Thisstudy proposes a method for predicting reservoir outflow hydrographs by integrating a Dynamic Time Warping–K-Nearest Neighbors (DTW-KNN)algorithm with reservoir outflow hydrographs generated by DA

This study examines the effects of adopting Information and Communication Technology (ICT) in livestock farm management on farm sales revenue. Using the 2020 Census of Agriculture, Forestry, and Fisheries, a nationally representative data set constructed by Statistics Korea, this study focuses on a sample of 9,020 livestock farms in South Korea. We employ Propensity Score Matching (PSM) methods to address the potential selection bias between 2,076 farms that used ICT for livestock farm managemen

This study addresses the challenge of severe class imbalance in semantic segmentation of rural watershed point clouds. Due to the dominance of a fewclasses and the scarcity of minority classes, segmentation performance can degrade significantly. To mitigate this issue, we investigated loss functionstrategies based on class weighting and focal loss using the Point Transformer V3 architecture. The dataset, collected via LiDAR from SanyangReservoir watershed in Icheon, South Korea, was labeled into

This study examines the determinants of crop selection on Korean farms using large-scale census microdata from the Census of Agriculture, Forestry, and Fisheries 2020. It empirically identifies the effects of climate conditions, individual farm characteristics, and regional socio- economic and geographic factors on crop selection. A quasi-maximum likelihood (QML) method is applied to multivariate fractional acreage share data. When applying two mid-term climate scenarios from the IPCC to the est