• Title/Summary/Keyword: 벡터 자기회귀 모형

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The Causal Relationship between ICT Growth and Employment in Korea (한국의 ICT산업의 발전과 고용 간의 인과관계에 관한 실증적 분석)

  • Kim, Sukyeong;Lee, Sang-Yong Tom
    • Information Systems Review
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    • v.16 no.2
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    • pp.77-95
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    • 2014
  • From the success of TDX and CDMA to today's social media boom, Korea's ICT has achieved an amazing growth for the last couple of decades. However, in spite of ICT's role as an engine of growth in Korea, there have been concerns that ICT growth would negatively affect national employment due to the labor substitution effect. While some scholars insist that ICT would positively affect employment because it will enlarge the size of industry itself, many people blame ICT as a main culprit of rising unemployment rates. In this study, we try to empirically find the true effect of ICT growth on employment in Korea. We use the data of ICT productions, ICT investments, and various industries employments from 1995 to 2011. The methodologies we adopted for this study is Granger causality tests and impulse response functions based on vector autoregression (VAR) model. We find that ICT has negative impact on service industries, while it has positive impact on manufacturing industries. Meanwhile, ICT has no statistically significant impact on ICT industry itself. Since the impacts of ICT on employment are mixed, we can argue that ICT should not be blamed for the main cause of low employment. We suggest a direction of future policies to utilize ICT for vitalizing employments in Korea.

Dynamic Impacts of Price and Income Variables on Paper Demand and Supply (종이 수급에 가격과 소득 변수가 미치는 동태적 영향 분석)

  • Kim, Dongjun
    • Environmental and Resource Economics Review
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    • v.19 no.2
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    • pp.283-301
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    • 2010
  • This study estimated the paper demand and supply using VAR model. And the variance decomposition and impulse response were analyzed using the model. In the model of paper demand, the own price change accounts for about seventeen percent of variation in the demand, and the gross domestic product change accounts for about twenty eight percent of variation in the demand. And the impacts of a shock to the own price and gross domestic product are significant for about six months on the demand for paper. In the model of paper supply, the own price change accounts for about twenty nine percent of variation in the supply, and the pulp price change accounts for about twelve percent of variation in the supply. And the impacts of a shock to the own price and pulp price are significant for about six months on the supply of paper.

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A study on the relationship between the onshore and offshore Chinese Yuan markets (중국 역내·외 위안화 현물시장간의 상호 연계성 연구)

  • Lee, Woosik;Chun, Heuiju
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.6
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    • pp.1387-1395
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    • 2015
  • Since the financial crisis of 2008, the People's Republic of China has aggressively been pursuing the internationalization of the Chinese Yuan or Renminbi. In this regard, rapidly increasing use of the Chinese Yuan in the onshore and offshore markets are important milestones. This paper analyzes relationship between the onshore and offshore Chinese Yuan spot markets. Major findings of this paper are as follows : First, there is full feedback relationship between the Onshore and Offshore Chinese Yuan Markets. Second, the difference between the yuan's offshore exchange rate and the onshore was getting tight. Third, the offshore Yuan market affects on the onshore market based on the empirical tests.

A Comparative Study on the Determinants of Bid Price Ratio Apartments and Factories in the Seoul Metropolitan Area (수도권 아파트와 공장 경매낙찰가율 결정요인에 관한 비교 연구)

  • Shin, Chang-gook;Chun, hae-jung
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.255-266
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    • 2021
  • Investment demand for factory facilities has increased due to the balloon effect caused by housing price regulation. This study investigated the impact of the real estate market and macroeconomic factors on the bid price ratio of apartment auctions and factory auctions, focusing on the metropolitan area. To this end, we reviewed theories and previous studies on real estate auctions, and examined how macroeconomic variables affect bid price ratio of apartments and factories using the panel vector autoregressive model. It was found that the increase in the apartment bid price ratio increases as the participation in apartment auctions increases. However, as the factory bid price ratio increases, the factory bid price ratio does not increase, it was confirmed that the positive (+) relationship between the successful bid price ratio and the bid price ratioe does not exist, unlike previous studies. Based on the analysis results, it is suggested that the real estate market and macroeconomic factors should be considered for the stable operation of the related relevant auction system. This study has limitations in that it is limited to the metropolitan area. In the future, research that expands the scope of research to the whole country and provinces should be conducted.

Effect of Supply Chain Risk on Port Container Throughput: Focusing on the Case of Busan Port (공급망 리스크가 항만 컨테이너 물동량에 미치는 영향에 관한 연구: 부산항 사례를 중심으로)

  • Kim, Sung-Ki;Kim, Chan-Ho
    • Journal of Korea Port Economic Association
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    • v.39 no.2
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    • pp.25-39
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    • 2023
  • As the scope of supply chains expands globally, unpredictable risks continue to arise. The occurrence of these supply chain risks affects port cargo throughput and hinders port operation. In order to examine the impact of global supply chain risks on port container throughput, this study conducted an empirical analysis on the impact of variables such as the Global Supply Chain Pressure Index (GSCPI), Shanghai Container Freight Index (SCFI), Industrial Production Index, and Retail Sales Index on port traffic using the vector autoregressive(VAR) model. As a result of the analysis, the rise in GSCPI causes a short-term decrease in the throughput of Busan Port, but after a certain point, it acts as a factor increasing the throughput and affects it in the form of a wave. In addition, the industrial production index and the retail sales index were found to have no statistically significant effect on the throughput of Busan Port. In the case of SCFI, the effect was almost similar to that of GSCPI. The results of this study reveal how risks affect port cargo throughput in a situation where supply chain risks are gradually increasing, providing many implications for establishing port operation policies for future supply chain risks.

Time Series Analysis on the Endogeneity between Quality of Internet Banking System and Business Performances of Banks (인터넷뱅킹시스템의 품질과 은행의 영업성과 간 내생성에 대한 시계열 분석)

  • Shim, Seonyoung
    • The Journal of Society for e-Business Studies
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    • v.18 no.4
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    • pp.169-193
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    • 2013
  • This study investigates time series data on internet banking systems and business performances for 5 large-scale banks : Kookmin, Woori, Hana, City, Shinhan. These banks have the common features that they merged with other banks around 2000, hence they experienced massive IS integration between banks. This study adopted VAR and VECM for identifying Granger causality between the quality of internet banking systems and the performances of banks(operating revenue and cost). The main results are as follows. First, internet banking system impacts positively on the revenues as well as costs of banks. Second, the improvement of internet banking system is instigated by cost part more than revenue part. Hence, the results imply that banks tries to reduce operating costs via internet banking systems, however the systems rather increased the costs of banks, although the systems increased operating revenues of banks too.

A Study on the Methodology of Extracting the vulnerable districts of the Aged Welfare Using Artificial Intelligence and Geospatial Information (인공지능과 국토정보를 활용한 노인복지 취약지구 추출방법에 관한 연구)

  • Park, Jiman;Cho, Duyeong;Lee, Sangseon;Lee, Minseob;Nam, Hansik;Yang, Hyerim
    • Journal of Cadastre & Land InformatiX
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    • v.48 no.1
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    • pp.169-186
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    • 2018
  • The social influence of the elderly population will accelerate in a rapidly aging society. The purpose of this study is to establish a methodology for extracting vulnerable districts of the welfare of the aged through machine learning(ML), artificial neural network(ANN) and geospatial analysis. In order to establish the direction of analysis, this progressed after an interview with volunteers who over 65-year old people, public officer and the manager of the aged welfare facility. The indicators are the geographic distance capacity, elderly welfare enjoyment, officially assessed land price and mobile communication based on old people activities where 500 m vector areal unit within 15 minutes in Yongin-city, Gyeonggi-do. As a result, the prediction accuracy of 83.2% in the support vector machine(SVM) of ML using the RBF kernel algorithm was obtained in simulation. Furthermore, the correlation result(0.63) was derived from ANN using backpropagation algorithm. A geographically weighted regression(GWR) was also performed to analyze spatial autocorrelation within variables. As a result of this analysis, the coefficient of determination was 70.1%, which showed good explanatory power. Moran's I and Getis-Ord Gi coefficients are analyzed to investigate spatially outlier as well as distribution patterns. This study can be used to solve the welfare imbalance of the aged considering the local conditions of the government recently.

Analysis of Shipping Markets Using VAR and VECM Models (VAR과 VECM 모형을 이용한 해운시장 분석)

  • Byoung-Wook Ko
    • Korea Trade Review
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    • v.48 no.3
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    • pp.69-88
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    • 2023
  • This study analyzes the dynamic characteristics of cargo volume (demand), ship fleet (supply), and freight rate (price) of container, dry bulk, and tanker shipping markets by using the VAR and VECM models. This analysis is expected to enhance the statistical understanding of market dynamics, which is perceived by the actual experiences of market participants. The common statistical patterns, which are all shown in the three shipping markets, are as follows: 1) The Granger-causality test reveals that the past increase of fleet variable induces the present decrease of freight rate variable. 2) The impulse-response analysis shows that cargo shock increases the freight rate but fleet shock decreases the freight rate. 3) Among the three cargo, fleet, and freight rate shocks, the freight rate shock is overwhelmingly largest. 4) The comparison of adjR2 reveals that the fleet variable is most explained by the endogenous variables, i.e., cargo, fleet, and freight rate in each of shipping markets. 5) The estimation of co-integrating vectors shows that the increase of cargo increases the freight rate but the increase of fleet decreases the freight rate. 6) The estimation of adjustment speed demonstrates that the past-period positive deviation from the long-run equilibrium freight rate induces the decrease of present freight rate.

Effectiveness of Monetary Policy in Korea Due to Time Varying Monetary Policy Stance (거시경제 및 통화정책 기조 변화가 통화정책의 유효성에 미친 영향 분석)

  • Kim, Tae Bong
    • KDI Journal of Economic Policy
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    • v.36 no.3
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    • pp.1-23
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    • 2014
  • This paper has studied the monetary policy in Korea with a time varying VAR model using four key macroeconomic variables. First, inclusion of the exchange rate was a crucial factor in evaluating Korean monetary policy since the monetary policy demonstrated sensitivity to exchange rate movements during the crisis periods of both the Asian financial crisis of 1997 and the global financial crisis of 2008. Second, a specification of the stochastic volatilities in TVP-VAR model is important in explaining excessive movements of all variables in the sample. The overall moderation of variables in 2000s was more or less due to a reduction of the stochastic volatilities but also somewhat due to the macroeconomic fundamental structures captured by impulse response functons. Third, the degree of the monetary policy effectiveness of inflation was mitigated in recent periods but with increased persistence. Lastly, the monetary policy stance towards inflation stabilization has advanced ever since the inflation targeting scheme was adopted. However, there still seems to be a room for improvement in this aspect since the degree of the monetary policy stance towards inflation stabilization was relatively weaker than to output stabilization.

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A Study on the Effect of Changes in Oil Price on Dry Bulk Freight Rates and Intercorrelations between Dry Bulk Freight Rates (국제유가의 변화가 건화물선 운임에 미치는 영향과 건화물선 운임간의 상관관계에 관한 연구)

  • Chung, Sang-Kuck;Kim, Seong-Ki
    • Journal of Korea Port Economic Association
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    • v.27 no.2
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    • pp.217-240
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    • 2011
  • In this study, vector autoregressive and vector error correction models in the short-run dynamics are considered to analyze the effect of the changes in international crude oil prices on Baltic dry index, Baltic Capesize index and Baltic Panamax index, and the intercorrelations between Capesize and Panamax prices, respectively. First, using the vector autoregressive model, the changes in international crude oil price have a statistically significant positive effect for Capesize at lag 1, for Panamax a significant negative effect at lag 3 and a significant positive effect for Baltic dry index at lag 1. From the impulse response analysis, the international crude oil price causes Baltic dry index to increase in the sort-run and the effect converges on the mean after 3 months. Second, using the vector error correction model, the empirical results for the spillover effects between Capesize and Panamax markets provide that in the case of the deviation from a long-run equilibrium the Panamax price is adjusted toward decreasing. The increases in freight rates of the Capesize market at lag 1 lead to increase the freight rates in Panamax market at present. The Panamax responses from the Capesize shocks increase rapidly for 3 months and the effect converges on the mean after 5 months. The Capesize responses from the Panamax shocks are relatively small, and increase weakly for 3 months and the effect disappears thereafter.