• Land and Housing Review
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• v.4 no.1
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• pp.43-54
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• 2013

This This paper investigates the variation of the factors to determinate housing price in Seoul metropolitan area after sub-prime financial crisis, in Korea, using a VAR model. The model includes housing price and housing rent (Jeonse) in Seoul metropolitan area from 1999 to 2011, and uses interest rate, real GDP, KOSPI, Producer Price Index and practices to impulse response and variance decomposition analysis to grasp the dynamic relation between a variable of macro economy and and a variable of housing price. Data is classified to 2 groups before and after the 3rd quater of 2008, when sub-prime crisis occurred; one is from the 1st quater of 1999 to the 3rd quater of 2008, and the other is from the 2nd quater of 1999 and the 4th quater of 2011. As a result, comparing before and after sub-prime crisis, housing price is more influenced by its own variation or Jeonse price's variation instead of interest rate and KOSPI. Both before and after sub-prime financial crisis, Jeonse price is also influenced by its own variation and housing price. While after sub-prime financial crisis, influences of Producer Price Index, KOSPI and interest rate were weakened, influence of real GDP is expanded. As housing price and housing rent are more influenced by real economy factors such as GDP, its own variation than before sub-prime financial crisis, the recent trend that the house prices is declined is difficult to be converted, considering domestic economic recession and uncertainty, continued by Europe financial crisis. In the future to activate the housing business, it ia necessary to promote purchasing power rather than relaxation of financial and supply regulation.

• KDI Journal of Economic Policy
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• v.34 no.4
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• pp.91-116
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• 2012

This paper analyzes how the adverse impacts of the global financial crisis on Korea's employment could be mitigated in comparison with the Asian crisis period. The results from error-correction models suggest that the less severe impacts during the global financial crisis could be attributed to (i) smaller GDP reduction, (ii) better maintenance of domestic demand despite a sharp fall of export, (iii) less serious over-employment during the run-up to the crisis, and (iv) less severe credit crunch. Analyses of OECD cross-country data provide corroborating evidence. In order to mitigate adverse impacts on employment, therefore, priority should be given to expansionary macroeconomic policies to keep aggregate domestic demand from collapsing once a crisis is triggered. Also crucial, however, is to maintain sound economic structures such as flexible labor market and adequately supervised financial market.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.175-182
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• 2013

In this paper, the simulation model of house price is presented on the basis of pricing mechanism between the demand and the supply of apartments in seoul. The algorithm of house price simulation model for calculating the rate of price over time includes feedback control theory. The feedback control theory consists of stock variable, flow variable, auxiliary variable and constant variable. We suggest that the future price of apartment is simulated using mutual interaction variables which are demand, supply, price and parameters among them. In this paper we considers three items which include the behavior of apartment price index, the size of demand and supply, and the forecasting of the apartment price in the future economic scenarios. The proposed price simulation model could be used in public needs for developing a house price regulation policy using financial and non-financial aids. And the quantitative simulation model is to be applied in practice with more specific real data and Powersim Software modeling tool.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.676-686
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• 2016

This study analyzed the long term relationship between the K-REITs' lending rate and interest rate variables based on ARDL (autoregressive distributed lag) and also examined the short term relationship based on the ARDL-ECM model. In the results of the empirical test, there is a co-integration relationship among the K-REITs' lending rate, 3 year government bond (rate), 3 year government bond (rate), corporation bond (rate) (AA-, 3year) and general fund loan rate. This means that the K-REITs' lending rate is related to the long term interest rate. The corporate general fund loan rate has a significant correlation with the K-REITs' lending rate in the long term relation and short term adjustment process. The establishment of a management plan by the REITs considering the trends in the corporate general fund loan rate in the decision making process for finance sector borrowings can be practically helpful for the K-REITs.

• The Journal of Bigdata
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• v.2 no.1
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• pp.59-69
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• 2017

According to precedent research of disaster economics, most of the studies are either based on belated macroeconomic indicators or are limited to specific industries. It is certain that preventing disaster is important, but immediate analysis and reconstruction policy are crucial as well. This research analyzed the ripple effect of consumer spending followed by April 16 ferry disaster and MERS outbreak; it was done by applying credit card company's real-time big data with Marketing Mix Modeling. The main focus of this research is to see if it is possible to predict the scale of damage during ongoing disasters. It is found that setting up weekly MMM and moving the timeline draws significance conclusion. When disasters or events occur in future, this research may be the basis of building quick and intuitive indicator to monitor possible effects.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.1
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• pp.76-86
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• 2008

This paper estimates the TFP in IT manufacturing (total factor productivity) by employment size of establishment and analyses the determinants of it. And the panel data is consisted of time series and cross section data of 4 employment size of establishment over $1990{\sim}2004$. During the period from 1991 to 1997 TFP increased positively irrespective of the employment size of establishment, but from 1998 to 2004 TFP increase rate turned negative except large size(more than 300) of establishment. TFP assume macro variables and policy variables as the determinants of IT manufacturing TFP. The analysis of whole size of establishment shows that sales growth rate is significantly positive, which makes us conclude that there is a teaming by doing effect and economy of scale. But some variables(i.e. IT capital stock, policy financing, and openness etc.) are significant in only a few models. So there may be different effect by employment size of establishment. In TFP determinants analysis by employment size of establishment, we find that coefficients of policy financing and openness variables are significantly positive. The larger employment size of establishment is, the larger scale economy is. And for large size(more than 300) establishment, IT capital stock helps propel the increase of the productivity.

• Journal of Korean Port Research
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• v.6 no.2
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• pp.65-92
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• 1992

The Korean central government has not appreciate the full extent of the impact of seaports on the national economy. As a consequence port investment has not been given sufficient priority and capacity has failed to keep pace with demand. The principal reason for this failure is the fact that the linkages (or relationships) of the port transport industry with other sectors have not been quantified and fully appreciated. To overcome this dificiency this paper developed a port input-output model to determine the economic impact of the port industry on the national economy. This impact study was conducted by analysing the impact of the Korean port industry upon the national economy from the macroeconomic viewpoint, and identifying the spreading effects of port investments upon the nation's economy. The analysis of the economic impact of the port industry suggests that its contribution to the Korean economy is substantial. What the model shows is, in quantifiable terms, there are the strong economic linkages between the port industry and the other sectors of the national economy. The contribution of the port industry to the Korean economy was summarised in the Conclusion section.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.3
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• pp.377-386
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• 2014

This study analyzed how alternative investment goods would affect a market in a neighboring shopping area in order to provide parties involved in the investment market of this neighboring shopping area with standards which would help them when they try to make a reasonable determination. The study estimated forms and explanation power of the effects of a bid rate of a neighboring shopping area, and came up with those results as follows. Increases in the representative macro economic indicators, the composite stock price index and the fluctuation rate of land price, including the real estate business would have a positive influence on the market of the neighboring shopping area as playing a circumstantial evidence of market recovery and yet, the increase in interest rate, the alternative investment goods, would reduce the relative price-earnings ratio which would, eventually, negatively affect the charm of the investment in the market of the neighboring shopping area. The study, now, understands that housing with a feature of consumers' goods and neighboring shopping area with a feature of investment goods would not have great concern with each other as they are observed to be two different markets from an aspect of interactionism.

• KDI Journal of Economic Policy
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• v.19 no.3
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• pp.195-246
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• 1997

우리나라에서 전기요금은 공공요금으로서 정부의 정책의지에 의하여 크게 영향을 받아왔다. 또한 전기요금수준 조정시 규제당국의 주된 관심은 요금인상이 국민경제에 미치는 영향, 특히 물가 및 무역수지에 미치는 영향에 있었다고 할 수 있다. 이러한 상황에서 전기요금변동의 국민경제적 영향에 대한 신뢰할 수 있는 분석결과는 올바른 정책수립에 필수적이라고 할 수 있다. 본고는 계산가능한 일반균형모형(Computable General Equilibrium model)을 이용하여 1993년도의 산업연관표를 토대로 전기요금의 인상이 물가, 수출입 등 거시변수에 미치는 효과 및 산업부문별 효과를 살펴본 것이다. 전기요금인상이 물가에 미치는 영향은 간단히 '전기요금인상률${\times}$물가가중치'라는 공식으로 계산해볼 수 있다. 이에 따르면 전기의 소비자물가 가중치가 14/1,000이므로 전기요금인상률이 4%일 때 소비자물가상승률은 약 0.056%가 된다. 그러나 전기가 타산업의 중간투입물로 사용되므로 전기요금인상은 타산업 산출물의 가격상승을 유발하고 다시 투입-산출관계에 의하여 추가적인 물가상승을 불러일으키게 된다. 이러한 일반균형적 효과를 모두 고려하여, 본 연구에서 계산한 소비자물가상승률은 0.083%로서 위 수치의 약 1.5배이다. 또한 본고에서는 전기요금인상에 따라 수출과 수입 모두 감소하되, 수출감소율이 수입감소율보다 크게 나타났다. 이러한 결과는 전기요금인상에 따라 전기수요가 감소하여 에너지수입이 감소하고, 그로 인해 무역수지가 개선되리라는 일부의 주장과는 매우 대조적이다. 산업별로는 전기요금인상에 따라 서비스업의 가격상승이 두드러지는 것으로 나타났는데, 이는 서비스업부문의 국내재와 수입재간의 대체가능성이 타부문에 비하여 크게 낮은 데 기인한 것으로 보인다. 본고의 결과를 전기요금이 인상되어서는 안 된다고 해석하는 것은 오류일 수 있다. 전기요금인상의 타당성은 전력산업에 대한 종합적인 미시적 분석에 기초하여야 한다.

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.457-467
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• 2015

Despite the recent phenomena of Chonsei price increase, low interest rate and low growth, the indexes of financial and insurance industry production showed the results contrary to the common belief that the financial industry is sensitive to such financial crises. This is because the index of financial industry has continuously maintained a certain level of increase as opposed to the index of all industry production. Thus, this study aimed to analyze the dynamic correlation between the index of financial industry production and Chonsei price increase. A vector autoregression (VAR) model, which doesn't have a cointegrating relationship, was used to define the Chonsei price index and the indexes of all industry production and financial and insurance industry, which are macro economic variables, and describe the data. The results of the analysis on the time series data of 183 months from January 2000 to May 2015 showed that Chonsei price increase was not directly derived from the index of financial industry, but the finance industrial index affected Chonsei price increase.