• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.281-286
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• 2023

This study analyzed the causal relationship between housing sales prices and jeonse prices in Seoul, specifically in the Gangnam and Gangbuk neighborhoods. The time-invariant Granger causality test showed bidirectional causality between the sales price and the jeonse price in Seoul and Gangbuk, but no bidirectional causality was found in Gangnam. However, the time-varying Granger causality test showed a Granger causal relationship between the housing jeonse price and the sales price for the entire period after 1993 in all three areas. Notably, the causal effect of jeonse prices on sales prices has been continuous in Gangnam since 2010. These analysis results suggest that an increase in liquidity supply to the jeonse market could increase volatility throughout the housing market, given the strong influence between the sales and jeonse markets in both directions.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.11a
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• pp.265-268
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• 2009

The purpose of this study is to analyze the casual relationship among Housing Transaction Index, Jeonse Rental Index and Interest Rate. To analyze the influence of interest rate in more detail, CD Interest rate and Spread are used as variables. Granger Casualty Test is used as a analysis tool, As a result, Spread is the cause variable of the Housing Transaction Index and the Housing Transaction Index is the cause variable of the CD Interest Rate. And also, CD Interest rate influences the Jeonse Rental Index and the Jeonse Rental Index has influence on the other variables.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.143-145
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• 2012

Overseas construction industry has performed the leading role in the economic development. In this study, effect of international oil prices, GDP and price index, on the regional international construction contract amount is compared and analyzed. Overseas construction market received a devastating effect due to the 1997's economic crisis. However, the market has remained stable since 1998, and since 2005, the trend has been a surge in new orders.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.319-320
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• 2012

International oil prices is the world's leading macroeconomic indicators. Rising international oil price has been worsening. profitability of construction company including material cost as well stagnation in housing market. Thus, according to fluctuations in international oil prices has cost index need to see any change happening there. in this study, 2000 to 2011 interest rates, exchange rates and oil price fluctuations in construction cost is to compare the impact.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.137-138
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• 2012

Domestic construction materials market was about 65 trillion won and it occupied 45% level of total construction cost by 2007. In addition, due to the recent rapid rise of crude oil and iron ore price, fluctuation of raw material cost has a great influence to the cost of construction industry. This means that smooth performance is closely related to construction materials. And among them, because of high putting rate of metal materials, it can be seen that the fluctuation of metal material prices is an important variables. So in this study, for the pre-study to analyze the impact of metallic material prices to construction cost, the researcher analyzed a causal relationship between metal material prices and construction cost.

• Journal of the Korean Regional Science Association
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• v.36 no.3
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• pp.29-40
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• 2020

The aims of this study to identify the relationship between regional economic growth and intraregional regional disparities. The 16 metropolitan area, the Capital region and the southeastern region of Korea were put in the spatial scope and the time range from 2005 to 2016. Regional gross domestic product data were used to show regional growth and intraregional disparity. Panel data for each spatial unit were established, panel unit root test and panel cointegration test were conducted to check the stability of the data. The DOLS method was used to identify relationship between regional economic growth and intraregional disparity, and the VECM model and Granger causality test was conducted to verify causality. The result of analysis of 16 metropolitan area units showed that the intraregional disparity increases as regional economic growth progresses. When the regional gross domestic product increased by 1%, the intraregional disparity increased by 1.258%, and there are short-term and long-term causality. Both the Capital region and the southeastern region had a mutual relationship between regional economic growth and intraregional disparity, but the disparity in the Capital region showed an increase and the southeastern region showed a decrease. The results of this study show that the regional disparity is increasing nationwide, but the Capital region and the southeastern region showed different stages of growth.