2016, Vol.89, No.

The Korea Spatial Planning Review 2023 KCI Impact Factor : 1.2

pISSN : 1229-8638
https://journal.kci.go.kr/krihs

Since Katona’s research on consumer sentiment in 1968, many articles have demonstrated that consumer psychology index is one of the key factors in decision making. In general, internet is the main source of people’s pre-purchase information gathering. By using search engines such as Naver, researchers concluded that online search data provide an accurate but simple way to predict present and future activities. We analyzed how consumer sentiment affects on housing market trends by using data from Naver Trends, online search statistics, and KRIHS’ consumer sentiment index. Through our analysis, we can understand relation between consumer sentiment and house prices. Estimation results show that the Naver Trends, online search statistics, has positive influence on house prices in the short-run and KRIHS’ consumer sentiment index has positive influence on house prices in three months. These results would help consumers, executives and policy makers to make effective decisions on timing of housing policy.

The purpose of this study was to derive suggestions of legal system for rural landscape management. For this, rural landscape legal systems being used in Japan, USA and Germany have been selected as analysis objects. The analysis have conducted with perspectives of how related laws, plans, regulations and public project work to manage rural landscapes under their conditions. Based upon the analysis results, improvements for rural landscape management system are suggested as follows: First, it is necessary to develop legal treatments for rural landscape management and those need to be built up in closed connection between related laws. Second, rural landscape management plans need to be linked and complemented. Third, the planning system needs to be implemented in cooperation with the regulatory system. Forth, public sectors are required to support implementation of projects in the level of local governments. Also, varied legal supports need to be accompanied in order to enhance unique values and improve physical environment of rural areas. Finally it is necessary to establish policy directions for consistent rural landscape management.

This study estimates farmland prices in Kimje City and analyzes the result empirically. Previous studies tend to utilize the income approach more often than not, which has limits in reflecting site-specific characteristics. Thus, we employ the market approach instead. The input data are prices of standard lots estimated by property valuation experts. We apply the market approach to the data and make the first use of the regression-kriging model which has advantage of dealing with both attribute and location information of farmland. When inspecting the model performance based on the test data, we confirmed that the price accuracy from the regression-kriging model was improved substantially compared with that of the usual regression model. That is, the estimated price became more accurate through spatial dependence being incorporated in the model building process. We also could avoid the subjectivity in quantifying spatial relationship using a kriging technique. This improvement is also confirmed visually through reviewing the spatial distribution of estimated-to-actual price ratios.