• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.50-59
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• 2017

The purpose of this study is to analyze the development of regional balance of 16 metropolitan councils in Korea, using an indicator index analysis. In each council, 18 indicators of the year 2015 which reflect regional development have been selected to diagnose the performances of the three sectors: economy, social, and cultural infrastructure. For the index of economic indicators, Gyonggi-do records the highest number of the indicators and followed by Chungnam-do which reaches about 94% of Gyonggi-do. The lowest region is Gwangju Metropolitan City which shows only 57% of Gyonggi-do. In the social sector, Gyonggi-do and Seoul City have high indexes while Gyeongsangbuk-do and Gangwon-do show relatively low indexes. This implies that the national economic and social capitals are concentrated in Gyonggi-do and Seoul City. For the index of cultural infrastructure sector, Jeju-do is the highest council and higher about 58% than that of Gangwon-do which is in the second highest level. In particular, the greatest unbalanced sector among the councils is the cultural infrastructure in which Jeju-do is the five times higher than that of Gyonggi-do and Inchon Metropolitan City. As a result, the cultural infrastructure sectors are particularly concerned in establishing the national policy for the development of regional balance of Korea.

• International Area Studies Review
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• v.13 no.2
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• pp.643-666
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• 2009

When it comes to current balance, both of Korea and China enjoy the trade surplus in goods while both countries suffer trade deficit in service. This facts demonstrate that two countries have comparative disadvantages in service industry. In order to identify the international competitiveness of trade in service between Korea and China, several indexes such as TSI, RSCA and IMS was calculated, using the IMF's balance of payments (BOP) statistics as proxy. The results of this analysis are as follows. Korea has a comparative advantage in four sectors (Transportation services, Financial services, Royalties & license fees and Personal cultural recreation), while China has a comparative advantage in five sectors (Travel, Communication services, Insurance services, Computer & information services and Other Business services). Construction services are indeterminate. However, the competitiveness of the two sectors-communication and computer & information-which China has a comparative advantage will be transferred to Korea if some effort to reinforce the competitiveness is added because the gap is being narrowed.

• Journal of Cadastre & Land InformatiX
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• v.52 no.2
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• pp.211-231
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• 2022

This study attempted to identify the effects of macroeconomic variables such as the All Industry Production Index, Consumer Price Index, CD Interest Rate, and KOSPI on apartment lease prices divided into nationwide, Seoul, metropolitan, and region, and to present a methodological prediction model of apartment lease prices by region using Long Short Term Memory (LSTM). According to VAR analysis results, the nationwide apartment lease price index and consumer price index in Lag1 and 2 had a significant effect on the nationwide apartment lease price, and likewise, the Seoul apartment lease price index, the consumer price index, and the CD interest rate in Lag1 and 2 affect the apartment lease price in Seoul. In addition, it was confirmed that the wide-area apartment jeonse price index and the consumer price index had a significant effect on Lag1, and the local apartment jeonse price index and the consumer price index had a significant effect on Lag1. As a result of the establishment of the LSTM prediction model, the predictive power was the highest with RMSE 0.008, MAE 0.006, and R-Suared values of 0.999 for the local apartment lease price prediction model. In the future, it is expected that more meaningful results can be obtained by applying an advanced model based on deep learning, including major policy variables

• Journal of Korea Port Economic Association
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• v.27 no.1
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• pp.155-183
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• 2011

The purpose of this paper is to analyze competition status of Korean and Chinese vessels in the EU market. To achieve this purpose, this study uses Market Share Index, Export Bias Index, Trade Specialization Index, Export Similarity Index, and Market Share Expansion Ratio-Export Similarity Deepening Ratio as analyzing method. The statistical data used in this study are obtained from the trade statistics for 5 years(2005-2009) produced by Korean International Trade Association. The results of this study show that Korean ships are less competitive than Chinese ones in the EU export market in that Korea does not export various kinds of ships but export some restricted kinds of vessels even in the competitive ship, implying that Korea has been gradually losing its competitiveness. These results suggest that Korea should improve the competitiveness of shipbuilding industry by pursuing such differentiated strategies as exporting high value-added vessels while keeping on maintaining Korea's dominance over its competitive ships to overcome China's competitive advantage in the EU region.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.705-713
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• 2006

우리나라 지역방송은 방송의 공익성 강화를 위한 방송프로그램의 '지역성 구현'과 규모의 경제를 이루기 위한 '방송시장의 확대'라는 두 가지 지역방송 발전정책을 추진하고 있다. 그 정책실천의 하나로서 인접한 방송권역의 지역방송사(국)들 간에 방송프로그램의 제작과 편성에 있어서 다양한 교류와 협력을 확대해나가는 권역화의 과정이 있다. 그러나 그 결과물인 권역공동제작 방송프로그램에 대한 내용면 그리고 사업면의 평가 및 검증은 아직까지 이루어지지 않았다. 따라서 본 연구에서는 지역방송 간의 제작 편성교류를 통해 제작된 방송프로그램들이 내용면에서 얼마나 이상적인 지역성을 구현하고 있는지, 그리고 사업면에서 얼마나 지역시청자에게 소구력이 있는지를 평가해보고자 한다. 이 평가의 도구로써는 지역 텔레비전 프로그램 별 지역성 지수와 사업성 지수인 방송시청률을 이용한다. 다양한 지역방송프로그램이 얼마나, 어느 정도 지역성과 방송시청률을 담보하고 있는지 평가하기 위한 하나의 평가척도를 제시하고 그에 따라 각 프로그램의 지역성 정도를 구체화하고자 한다. 지역방송의 권역화 과정에서 '이상적인 지역성'의 구현과 '사업적인 안정'의 실현은 상호배타적인 실천과제가 아니라 동시에 균형적으로 추진되어야 할 중요한 목표인 것이다. 따라서 권역화 과정에 나타나고 있는 다양한 방송프로그램들을 이 두 기준에 맞추어 평가하는 것은 지역방송의 공적 가치와 사업적 토대를 동시에 고려해보는 중요한 의미를 가지게 된다.

• International Area Studies Review
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• v.14 no.2
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• pp.25-40
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• 2010

Accurate forecasting of volatility is of considerable interest in financial volatility research, particularly in regard to portfolio allocation, option pricing and risk management because volatility is equal to market risk. So, we attempted to delineate a model with good ability to forecast and identified stylized features of volatility, with a focus on volatility persistence or long memory in the Australian futures market. In this context, we assessed the long-memory property in the volatility of index futures contracts using three conditional volatility models, namely the GARCH, IGARCH and FIGARCH models. We found that the FIGARCH model better captures the long-memory property than do the GARCH and IGARCH models. Additionally, we found that the FIGARCH model provides superior performance in one-day-ahead volatility forecasts. As discussed in this paper, the FIGARCH model should prove a useful technique in forecasting the long-memory volatility in the Australian index futures market.

• Journal of Korea Port Economic Association
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• v.33 no.3
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• pp.91-104
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• 2017

This paper examines the export structure of Gwangyang Port and evaluates its comparative advantage from 2005 to 2016 using the Comparative Advantage by Countries (CAC) index. It is found that: (i) Gwangyang Port has a comparative advantage in HS 39 and HS 28, an unstable comparative advantage in HS 29 but a comparative disadvantage in HS 72; and (ii) 4 items have the common features of losing their comparative advantage. Constant market share analysis allows one to evaluate why the exports of one region may grow faster than world exports. This consists of the commodity composition effect, the scale effect, and the competitive effect. Constant market share analysis shows that the commodity composition effect influences exports negatively while the scale effect does exports positively. Shift-share analysis can help evaluate the change in a region's performance relative to the nation over a given period of time. The result indicates that HS 28 has not only favorable industrial mix effect but high competitive share effect, while HS 29 has unfavorable industrial mix effect as well as low competitive share effect. This paper also reveals that industrial mix effect of HS 39 is positive but its competitive share effect is negative, whereas the former is negative but the latter is positive in case of HS 29.

• International Area Studies Review
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• v.13 no.3
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• pp.583-611
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• 2009

This study aims at analysing the export competitiveness of the six largest countries which have the highest market share in world automobile market, namely Japan, USA, China, Germany, South Korea and France for the last seven years between 2000 and 2006 in Chinese automobile market by using revealed comparative advantage index(RCA), comparative advantage index by country (CAC) and exporting similarity index(ESI). On analysis of the RCA index, it showed that the export competitiveness of Korean automobile in the world market was high following Japan and Germany, but it ranked the lowest competitiveness among the six trade competitors in Chinese automobile market. In other side, it is also made sure that the formidable competitors of Korean automobile export in global market are Germany and Japan. Therefore, South Korea needs to raise its ability to adjust to improvement of the international competitiveness in exports through close cooperation between government and automobile export enterprise and consistent monitoring about Chinese automobile industry and market.

• The Korean Journal of Applied Statistics
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• v.11 no.2
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• pp.335-350
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• 1998

X11ARIMA is established on the basis of X11 which is one of smoothing approach in time series area and this procedure was introduced by Bureau of Census of United States and developed by Dagum(1975). This procedure had been updated and adjusted by Dagum(1988) with 174 economic index of North America and has been used until nowadays. Recently, X12ARIMA procedure has been studied by William Bell et.al. (1995) and Chen. & Findly(1995) whose approaches adapt adjusting outliers, Trend-change effects, seasonal effect, arid Calender effect. However, both of these procedures were implemented for correct adjusting the economic index of North America. This article starts with providing some appropriate and effective ARIMA model for 102 indexes produced by national statistical office in Korea; which consists of production(21), shipping(27), stock(27), and operating rate index(21). And a reasonable smoothing method will be proposed to reflect the specificity of Korean economy using several moving average model. In addition, Sulnal(lunar happy new year) and Chusuk effects will be extracted from the indexes above and both of effects reflect contribution of lunar calender effect. Finally, we will discuss an alternative way to estimate holiday effect which is similar to X12ARIMA procedure in concept of using both of ARIMA model and Regression model for the best fitness.

• Environmental and Resource Economics Review
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• v.18 no.4
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• pp.557-586
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• 2009

Although energy demand management policy attracts attention internationally and domestically, the importance of local government in this policy is not so much as central government. But local government can do a role with regard to this policy because it is close to energy consumers not like central government. So local energy plan should be based on the understanding local energy consumption characteristics to activate local energy demand management policy. This paper tries to analyze energy characteristics of 16 local governments by decomposing energy consumption into population, production and intensity factors. The result of index decomposition analysis shows that energy intensity improvement has offset the increase of energy consumption caused by economic growth in the metropolitan cities, while it couldn't offset in the other provinces because of industrialization based on the manufacturing. In conclusion, this paper suggests that it will be necessary to switch to low energy society by carrying out concrete energy efficiency improvement projects in the metropolitan cities while it will be helpful to make a local development plan for low energy intensive industrialization in the other provinces.