• KDI Journal of Economic Policy
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• v.45 no.4
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• pp.57-77
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• 2023

The Chonsei component holds the highest level of weight (5.4%) in the composition of the Korean consumer price index (CPI). The variations in Chonsei prices are directly reflected in the CPI as a representation of cost swings. The Chonsei refers to a deposit that accumulates the costs related to housing services and is mostly affected by variations in rental rates. Nevertheless, it is important to note that Chonsei prices are also susceptible to fluctuations in interest rates, regardless of the rent prices. Therefore, if Chonsei were directly and one-to-one indexed to the CPI, they could include changes other than residential service prices. After analyzing the time series data of the Chonsei index and rent index inside the CPI, it becomes apparent that the Chonsei index displays an average annual growth rate of 2.3%, whilst the rent index reveals a growth rate of 0.9%. The observed disparity in growth rates indicates a divergence in trends between the two indices. It is posited that the Chonsei index, when capitalized, has had a more rapid increase compared to the rental index, owing to the gradual drop in interest rates. To effectively reflect fluctuations in the housing service costs, proxies for the Chonsei index were utilized in the construction of a consumer price index. The findings of our study suggest that, overall, the newly developed CPI demonstrates a comparatively lower rate of inflation when compared to the official CPI. Furthermore, the inclusion of imputed rents for owner-occupied housing in CPI amplifies this effect.

• Knowledge Management Research
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• v.23 no.1
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• pp.89-109
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• 2022

Due to COVID-19 and soaring participation of individual investors, large-scale transactions exceeding system capacity limits have been reported frequently in the capital market. The capital market IT systems, which the impact of system failure is very critical, have encountered unexpectedly tremendous transactions in 2020, resulting in a sharp increase in system failures. Despite the fact that many companies maintained large-scale system capacity planning policies, recent transaction influx suggests that a new approach to capacity planning is required. Therefore, this study developed capital market IT system capacity planning models using machine learning techniques and analyzed those performances. In addition, the performance of the best proposed model was improved by using sentiment index that can promptly reflect the behavior of investors. The model uses empirical data including the COVID-19 period, and has high performance and stability that can be used in practice. In practical significance, this study maximizes the cost-efficiency of a company, but also presents optimal parameters in consideration of the practical constraints involved in changing the system. Additionally, by proving that the sentiment index can be used as a major variable in system capacity planning, it shows that the sentiment index can be actively used for various other forecasting demands.

• Journal of the Korea institute for structural maintenance and inspection
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• v.21 no.4
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• pp.87-96
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• 2017

It is important to estimate the future maintenance budget of all SOC infrastructure at the national strategic level. In this study, Based on a currently available statistics data, we predicted future maintenance investment for all SOC infrastructure in Korea. We have studied the applicable prediction models, and we developed the prediction models that can calculated the future maintenance cost by a real expenditure date. The subjects of facilities are bridges, tunnels, pavements, harbors, dams, airports, water supply, rivers and port. As a result of total estimated cost, eight types of SOC infrastructures are about 23 trillion won for the next 10years, and the most expensive facilities are road pavements and bridges.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2002.10a
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• pp.40-44
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• 2002

선박 설계시 최적화에 있어 종래에는 Random search Parametric study, Hook&Jeeves Method등이 사용되어져 왔으나 1960년대 Genetic algorithm이 소개되고 꾸준히 발전함과 함께 선박 설계에서도 Genetic algorithm이 사용되기 시작하였다. 본 논문에서는 이러한 Genetic algorithm 중 Simple Genetic algorithm(SGA), Micro Genetic algorithm(MGA), Threshold Genetic algorithm(TGA), Hybrid Genetic algorithm(HGA)을 선박 설계에 적용하여 그 성능을 비교 검토해 보았다. MGA는 계산 부담을 줄이기 위해 작은 개체로 효율적인 탐색을 하며, TGA는 local optimum에서 쉽게 벗어나게 할 수 있는 특징이 있다. HGA는 Hook&Jeeves Method를 Genetic algorithm과 병합되어 있다. 이를 바탕으로 본 논문에서 망간단괴 수송선의 경제성을 평가한다. 평가 방법은 연간 300만톤을 생산한다고 가정하여 연간 운송 용적을 동호제약으로 해서 최적화를 한 뒤, 이를 이용하여 몇가지 Case로 나누어서 초기 자본, 연간 비용, 20년간 총 비용을 계산하여 가장 경제적인 선박을 선택한다.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.436-448
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• 2015

This study examined one of the contemporary financial aspects, the level of corporate cash holdings for the firms belonging to the chaebols in the Korean capital markets. Being accompanied by various alternative econometric methodologies such as static and dynamic panel data model, stepwise OLS, and Fama-Macbeth modelm this research extended the preceding Kim's study (2015) in anticipation of validating the results to identify any financial factors which may significantly affect the chaebol firms' cash reserves. Several financial characteristics such as CASHFLOW, MVBV, REINVEST, and AGENCY, were found to be statistically significant factors on the level corporate liquidity, along with CCC as cash conversion cycle in the models. It may be plausible that any outcomes of this study may be applied to enhance the efficiency of financial strategies of the chaebol firms on cash holdings, thereby expediting the development of the domestic capital markets status quo toward the advanced one in the market classification.

• 한국벤처창업학회:학술대회논문집
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• 2017.08a
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• pp.15-35
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• 2017

The purpose of this research is to investigate the factors which effect the intention to reemploy after the retirement and the mediation effect of the social capitalism for retired and prospective retired baby boomers. Starting from 2010, baby boomers have been retiring at a large scale. However retirement at a large scale without securing provision for fiancial wise in later life can lead to many issues regarding social and fiancial wise such as instability of labour market and increase of spending in society welfare cost and such on. Change of individual's self prospective and institutional support to help prepare find new career for next 3decade after the retirement needs to be concretized. Also, while in the work force, potential retiring baby boomer workers should be systematically supported with education, training and reemployment program based on individual's career orientation and allowing them to stay for a longer period in the labour market can be the implication to the solution for the economic stability and increasing social cost such as public pensions.

• Environmental and Resource Economics Review
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• v.13 no.1
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• pp.33-47
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• 2004

Even though the price of extracted but unprocessed coal has been available in Korea, the use of it as scarcity index would be inappropriate because of price subsidy. Following Halvorsen and Smith(1984), Kim and Lee(2002) derived estimates of the shadow price of unextracted coal by estimating the restricted cost function and differentiating with respect to the quantity of coal extracted. In Korea, however, due to the limited data the capital prices have been computed inconsistently case by case without relying on the robust formula like the Christensen-Jorgenson methodology used in US, which could result in biased estimators of the restricted cost function. In the paper the shadow prices of the resources in situ are obtained by measuring an input distance function defined by Shephard (1970), which requires only the data on the quantities of inputs and output. Empirical results for the Korean coal mining industry show that these shadow prices as a coal scarcity have increased fast by approximately three times in comparisons with those obtained by Kim and Lee.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.409-416
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• 2018

The purpose of this study is to estimate the macro-economic ripple effect of tax exemption for both high end technology firms and research enterprises in R&D special cluster. We apply the user cost of capital model and the Input-output model to the estimation. Estimation results for 2007-2016 are as follows: the increase in both the production and the value-added is 2,807 and 1,392 hundred million Korean won, respectively. Also, employers are increased by 2,355 people. These imply that keeping the tax exemption item for certain enterprises in R&D special cluster may be beneficial to our economy.

• Korean Business Review
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• v.18 no.2
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• pp.21-43
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• 2005

Since China opened its market to foreign investors, overseas Chinese firms have been the biggest foreign investors. Because of the uncertain market environment, other foreign finns incurred larger liabilities of foreignness than overseas Chinese finns. Some parts of liabilities of foreignness stem from cultural differences and last for quite long time. Therefore better understanding of Chinese culture and guanxi network can give overseas Chinese finns competitive advantages over those from other countries by offering market information and reducing transaction costs. Also better management skills, information about export markets and abundant capital allow them to maintain competitive strengths over local firms. As foreign firms accumulate market knowledge in China, they can reduce liabilities of foreignness. However, it is very difficult for foreigners to understand Chinese cultures and to utilize guanxi network as well as Chinese. It is likely that Overseas Chines firms can have competitive strengths in some industries such as banking, retailing, and foreign trade, where relationship with local contractors and exploitation of worldwide Chines networks can play important roles to make successful business deals.

• Journal of Navigation and Port Research
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• v.28 no.8
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• pp.687-697
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• 2004

This paper is aimed to guide ocean-going companies to reasonable decisions and to increase the competitiveness of Korean shipping industry by clarifying the determinants of political costs of ocean-going companies, which only depend for the enormous amount of money to introduce the operating fixed assets, or the vessels, upon the supporting policy from the government or the loan from the related financial institutions. As independent variables of the political costs, 5 elements were settled such as company size(sales, total assets and market share), debit ratio, capital concentration ratio, profitability(operating profit) and marine risk(sales fluctuation). To verify the relations and the effect level between dependent variables and political costs, the Multiple Regression Analysis Model was applied The result of the analysis shows significantly positive relations between size variables and political cost of shipping industry. Moreover, debt ratio and profitability were proved significant related with political costs of shipping industry.