• 농촌계획
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• 제30권2호
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• pp.1-11
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• 2024

Farmland transaction prices are affected by various factors such as politics, society, and the economy. The purpose of this study is to identify multiple factors that affect the farmland transaction price due to changes in the actual transaction price of farmland by farmland unit from 2016 to 2020. There are several previous studies analyzed the determinants of farmland transaction prices by considering spatial dependency. However, in the case of land transactions where the time and space of the transaction affect simultaneously, if only spatial dependence is considered, there is a limitation in that it cannot reflect spatial dependence that occurs over time. In order to solve these limitations, To address these limitations, this study builds a spatio-temporal autoregressive model that simultaneously considers spatial and temporal dependencies using farmland transactions in Jinju City as an example. As a result of the analysis, it was confirmed that there was significant spatio-temporal dependence in farmland transactions within the previous 30 days. This means that if the previous farmland transaction was carried out at a high price, it has a spatio-temporal spillover effect that indirectly affects the increase in the price of other nearby farmland transactions. The study also found that various location attributes and socioeconomic attributes have a significant impact on farmland transaction prices. The spatio-temporal autoregressive model of farmland prices constructed in this study can be used to improve the prediction accuracy of farmland prices in the farmland transaction market in the future, and it is expected to be useful in drawing policy implications for stabilizing farmland prices

• 농촌계획
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• 제28권2호
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• pp.41-50
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• 2022

The primary purpose of this study is to identify various factors that affect farmland prices according to changes in the actual transaction price of farmland over the past decade, and to use this to derive policy implications for price stabilization. To this end, the farmland price model are constructed at the parcel level in the case area (Namwon-si, Jinju-si). The analysis method is based on the Hedonic price function, and the OLS and the quantile regression are used for the parcel level model. As a result of estimating the parcel level farmland price model in the case area, the larger the parcel area, the lower the farmland price, and the higher the farmland price outside the agricultural promotion area. It was found that there was a price difference according to the type of special purpose areas, and the location characteristics showed some differences across the cities. The farmland price models presented in this study are suitable for identifying the factors affecting farmland prices, and are expected to be highly utilized in that it is possible to construct flexible variables suitable for regional characteristics.

• 지적과 국토정보
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• 제50권1호
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• pp.87-105
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• 2020

정부에서는 공시가격 신뢰성 제고 방안 추진과 현실화율을 높여 공시가격의 정확성·객관성·투명성을 제고해 신뢰성을 확보하기 위해 노력하고 있으나 공시지가에 현 시가가 충분히 반영되지 못하여 개별공시지가 현실화율은 큰 편차를 보이고 있다. 이에 본 연구는 전라북도 전주시 완산구의 부동산거래관리시스템(RTMS)에 신고된 실거래가격과 부동산종합공부시스템(KRAS)의 개별공시지가를 수집하여 개별공시지가 현실화율을 산정하고, 본 연구의 실증분석을 위해 SPSS 25.0 통계분석 프로그램을 사용하였다. 종속변수는 개별공시지가 현실화율로 하고 독립변수는 개별공시지가 토지특성조사 항목 중 6개의 토지특성 항목을 독립변수로 선정하여 일원변량분산분석(One-way ANOVA) 실시 후 Scheffe 방식으로 사후검정 하였다. 분석결과, 주거지역, 상업지역 및 농지와 공공용지, 그리고 주상용, 주거용, 임야에서 지가현실화율 평균차이가 나타나는 것으로 분석되었다. 특히 상업지역은 주거지역과 녹지지역에 비해 같은 토지이용상황으로 조사되는 토지 유형이라도 가격대가 상승할수록 개별공시지가에 시세가 덜 반영되는 문제점이 발생하고 있음을 알 수 있었다.