• Journal of the Economic Geographical Society of Korea
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• v.17 no.3
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• pp.482-501
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• 2014

Most textbooks of urban geography explain that land value drops down with distance from the Peak Land Value Intersection of urban center. However, There is little rigorous empirical work supporting this belief. Using the publicly notified individual land price data of 2013, this paper examines the structure of land value in urban center with a focus on spatial distribution of land value by land use. As an analytic result, the structure of land price varies between land uses, significantly being different from the classical model of land value in urban space. In residential lands and mixed-use lands for residence and commerce, land price gradient as a function of distance from PLVI is positive and a crater phenomenon even is identified in spatial distribution of land value. The classical model coincides only with land for commerce and office. Nonetheless, predict of land uses by land value function fairly corresponds to Alonso's model.

• Korean Journal of Construction Engineering and Management
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• v.11 no.1
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• pp.113-121
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• 2010

Since the cut-down of the purchasing price of the feed in tariff(FIT) in 2008, the numbers of photovoltaic projects get decreased, contrary to investment expansion policy of government on renewable energy. The root cause of the decrease is the irrationality of the current purchasing price structure of FIT as well as the adversity of fund raising due to the global financial crisis. This study proposes the FIT calculating model (Cost & Benefit Risk Based Purchase Price Process : CBRP3) reflecting the fluctuation of cost and benefit risks. The first step is to establish the photovoltaic generation alternatives, and to calculate each distribution data of the investment and the power generation quantity. The FIT for each alternative is, then, assessed through simulations. Finally the proposed FIT scheme is compared to the present FIT scheme and future study subjects are derived.

• Transactions of the Korean Society of Automotive Engineers
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• v.9 no.6
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• pp.129-134
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• 2001

One of the most important purposes in the design of machines and structures is to produce the most light products of the lowest price with satisfying function and performance. In this study, a scheme of design optimization for the weight down of vehicle body structure is presented. Design sensitivity of vehicle body structure is investigated and design optimization is performed to get weight down with the allowable stiffness of body in white. Stress, deformation and natural frequencies are the constraint of the optimization.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.261-262
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• 2013

In this paper, we subject to MA area to identifying improve the performance of equipment and prices down. When we replace the equipment, the cost savings available area, servers, storage, the As-is vs To-be of software compared to the cost. Thus, based decision-making is utilized.

• Journal of Korean Society of Rural Planning
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• v.23 no.4
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• pp.111-126
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• 2017

This study analyzes the impacts of agricultural water shortages in Korea using a combined top-down and bottom-up model. A multi-region multi-output agricultural sector model with detailed descriptions of production technologies and water and land resource constraints has been combined with a standard CGE model. The impacts of four different water shortage scenarios were simulated. It is shown that an active adaptation of crop choices occurs in even the regions with relatively abundant water resources in order to respond to the change in relative output prices caused by water shortages. We found that although the losses in production values are not quite large despite water shortages due to the price feedbacks, the loss in GDP is substantial. We show that our combined approach has advantages in deriving region and product specific production effects as well as the overall GDP loss effect of water shortages.

• Proceedings of the Korea Society for Simulation Conference
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• 2002.11a
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• pp.115-121
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• 2002

The growth of semiconductor industry attracted to researchers like design, facility technique and making small size chip areas. But nowadays, cause of technology extension and oversupply and price down, yield improvement is the most important point on growth. This paper describes the computer mode]ing technique as the solutions to analyze the problem, to formalize the semiconductor manufacturing process and to build advanced manufacturing environments. The computer models are built referring an existing 8' wafer production line in Korea.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.187-201
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• 2011

KOSPI200 index is the Korean stock price index consisting of actively traded 200 stocks in the Korean stock market. Its base value of 100 was set on January 3, 1990. The Korea Exchange (KRX) developed derivatives markets on the KOSPI200 index. KOSPI200 index futures market, introduced in 1996, has become one of the most actively traded indexes markets in the world. Traders can make profit by entering a long position on the KOSPI200 index futures contract if the KOSPI200 index will rise in the future. Likewise, they can make profit by entering a short position if the KOSPI200 index will decline in the future. Basically, KOSPI200 index futures trading is a short-term zero-sum game and therefore most futures traders are using technical indicators. Advanced traders make stable profits by using system trading technique, also known as algorithm trading. Algorithm trading uses computer programs for receiving real-time stock market data, analyzing stock price movements with various technical indicators and automatically entering trading orders such as timing, price or quantity of the order without any human intervention. Recent studies have shown the usefulness of artificial intelligent systems in forecasting stock prices or investment risk. KOSPI200 index data is numerical time-series data which is a sequence of data points measured at successive uniform time intervals such as minute, day, week or month. KOSPI200 index futures traders use technical analysis to find out some patterns on the time-series chart. Although there are many technical indicators, their results indicate the market states among bull, bear and flat. Most strategies based on technical analysis are divided into trend following strategy and non-trend following strategy. Both strategies decide the market states based on the patterns of the KOSPI200 index time-series data. This goes well with Markov model (MM). Everybody knows that the next price is upper or lower than the last price or similar to the last price, and knows that the next price is influenced by the last price. However, nobody knows the exact status of the next price whether it goes up or down or flat. So, hidden Markov model (HMM) is better fitted than MM. HMM is divided into discrete HMM (DHMM) and continuous HMM (CHMM). The only difference between DHMM and CHMM is in their representation of state probabilities. DHMM uses discrete probability density function and CHMM uses continuous probability density function such as Gaussian Mixture Model. KOSPI200 index values are real number and these follow a continuous probability density function, so CHMM is proper than DHMM for the KOSPI200 index. In this paper, we present an artificial intelligent trading system based on CHMM for the KOSPI200 index futures system traders. Traders have experienced on technical trading for the KOSPI200 index futures market ever since the introduction of the KOSPI200 index futures market. They have applied many strategies to make profit in trading the KOSPI200 index futures. Some strategies are based on technical indicators such as moving averages or stochastics, and others are based on candlestick patterns such as three outside up, three outside down, harami or doji star. We show a trading system of moving average cross strategy based on CHMM, and we compare it to a traditional algorithmic trading system. We set the parameter values of moving averages at common values used by market practitioners. Empirical results are presented to compare the simulation performance with the traditional algorithmic trading system using long-term daily KOSPI200 index data of more than 20 years. Our suggested trading system shows higher trading performance than naive system trading.

• Journal of the Korean Home Economics Association
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• v.18 no.4
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• pp.65-73
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• 1980

The purpose of this study is ti find out a desirable way to stability and improvement of household economy by studying the changes of consumption level and consumption pattern of urban salary and wage earners' households during the years from 1970 to 1978. For this study, "Annual Report on the Family Income and Expenditure survey" (Published by the Bureau of Statistics, Economics Planning Board) has been used as basic material, and the methods of analysis used here are the time series analysis. We have gained the results as follows: 1) From 1970 to 198, the total income level increased at the rate of 416.2% in nominal price, but only 74.4% in reql price, while the total expenditure level showed 338.5% increase in nominal price, but its real increased proved only 418.2% in consideration of inflation. APC decreased from 95.1%(in 1970) to 80.7%(in 1978). 2) As for the expenditure pattern for the above mentioned nine years, the rate of food expenditure increased until 1975 under the price influence, but it trended to decease there after on . The rate of housing expenditure showed a gradual increase while that of fuel and light expenditure was on the decrease. The rate of clothing expenditure had been on the decease until 1974 but it began to increase gradually thereafter on. The trend of miscellaneous expenditures was irregularly up and down, educational expences being the first rank among them, Non-living expenditure had been constant until 1974 but it decreased a little after that. From the results it was found that the consumption level of the salary and wage earners' household in all cities from 1970 to 1978 was not practically improved because of rise in prices, nor was the Engel's coefficient and the rate of miscellaneous expenditure changed distinctively. However, as the successive decrease of APC suggests the possibility of economic development, we must try to put stress on economy in consumption and on encouraging. This will help run our household economy in safety and stability.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.8
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• pp.1893-1900
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• 2015

The government has the responsibility to prevent abuses of monopoly and promote competition in order to maximize consumer welfare. The government should address the asymmetry in the information as much as possible and ensure consumer choice. The subsidy seems to reduce the burden on the consumer service charges and handset prices but it actually distorts the market through price discrimination. The government caused the principal-agent problem by neglecting their appropriate role to prevent distortion of the mobile telecom market. The money used as subsidy is part of excess profit and could be transferred to down the price of mobile phone and charges and it would become a benefit to consumers. Separate announcement of subsidies by Mobile Communications Terminal Distribution Structure Improvement Act is a little developed policy but it was not actually realized. The market price close to that from perfect competition structure is plausible, ultimately.

• Environmental and Resource Economics Review
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• v.16 no.3
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• pp.653-682
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• 2007

In this study, multi-sectoral partial equilibrium and computable general equilibrium models of Taiwan are used to investigate the direct and indirect effects of energy price increases on overall economies and agro-food sector in Taiwan. The results suggest that agricultural prices, production cost would increase between 0.27% to 1.88%, and a reduction in GDP around 0.39% to 0.54 %. The negative impact on livestock sector is slightly higher than that on the crop sector. Negative impacts are also observed in the employment and wages. The rising oil price has the potential to discourage production of energy-intensive activity because of the possibility of substitution and adaptations. The growth rate of real GDP will shrink by 0.64% to 1.06% and CPI will increase by 1.17% to 1,95%. Both the agriculture and non-agricultural sector also respond by raising output prices by 0.80% to 1.33%. The rising international oil price has urged the government to take policy actions like using alternative fuels such as biodiesel, bioethanol, and adopting measures to cut down on energy consumptions mainly in transportation sectors in response to public concern over economic shocks.