2010, Vol.65, No.

The Korea Spatial Planning Review 2023 KCI Impact Factor : 1.2

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

Over the last three decades South Korea has attempted to ensure the affordability of housing through a policy of housing size-limit regulations. The regulations require that a specified portion of housing development projects undertaken by developers be limited to 85㎡. However, little is known about the direct effects of such regulations on the actual affordability of housing. This study analyses the differences in per meter squared prices of small and large sized housing in order to investigate the market effect of housing size-limit regulations. This study is based on the Fischel's market effect model in the land use regulation (1985). The data for this study is the quarterly basis ‘housing supply record,’ 2000 to 2009 (38 quarters) in the capital region. The results of the analysis show that, since 2000, there has been a growing per meter squared price differential between small and larger sized housing. The differentials reflect regional conditions with Seoul, Kyeonggi and Incheon respectively showing the first, second and third largest price differences. On the other hand, the price differentials per ㎡ in the capital region are increasing as the price change differences between the stocks of small housing, the supplies of small housing and housing size are getting larger and lager. This finding thus implies that, contrary to the policy objective that improves the affordability of housing, the size-limit regulation has brought about adverse effects that have increased the gap in prices between small and larger sized housing.

The purpose of this study is to formulate the estimation model of maintenance repair costs in Korean PPP(port private participation) projects. Maintenance costs is the important factor in port PPPs, considering that those costs is 11.7% of the whole O&M(operation and maintenance) costs. But the estimation of the appropriate maintenance repair costs was difficult because of the necessary raw data shortages, etc. So this study formulated the estimation model of maintenance repair costs of port facilities(civil & architectural facilities) and port operation equipments. And the formulation was performed in two steps. The first step was to postulate, calibrate and validate the multiple regression model based on the already proposed Korean port PPP's financial model. The second step was to formulate the integration method model and this step was performed in case the regression model didn't have the sufficient statistical significance and goodness-of-fit. Following these steps, it was proved that the integration method model in the form of logistic curve is the appropriate estimation model of maintenance repair costs of port facilities(civil & architectural facilities). And in case of the maintenance repair costs of operation equipments, the multiple regression model was the appropriate model.

This study proposes a multilevel model to examine the effect of labor market human capital characteristics on individual productivity. Our aim is to add a new perspective to conventional model by analyzing interactive effects between individual characteristics and regional characteristics on wage level. This analysis is based on a hierarchical linear model to examine labor market human capital externalities, containing both individual level and regional level (occupational or labor market level) to explain wage inequality. This model is useful to decompose individual level effect and contextual group level effect. By employing a multilevel model, this study can help us to understand wage differentials more systematically. We examined whether the urban wage levels vary with the nature of local knowledge environment. If the workers' activities are subject to knowledge spillovers, workers could be more productive in a region which has an abundant human capital base. We found higher levels of average human capital in labor market level resulted in relatively higher compensation of individual workers.