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A decision-support tool based on relational database technology is developed to aid the planning of energy supply systems for urban communities. The building-load models derived from the data measured or surveyed in Korea over the last two decades are computerized using Microsoft Access® as an application platform. The tool calculates energy demands for arbitrary combinations of buildings in an urban community without requiring detailed technological information. Nonexpert urban planners can use the package by providing simple input parameters such as floor area, building type, and city where the site is located. The program calculates the time series based on the demands for electricity, heating, cooling, and hot water loads for the 8760 hours of a year. It also produces indicative characteristics of each load type such as the annual maximums, trends of the daily maximums and minimums, and the annual sums of energy. Urban planners can use these characteristics of the load profiles in their decision processes at the early stages of planning. The detailed time series can be further exploited for subsequent analysis, such as device operational simulation or cost estimation if more sophisticated analysis is necessary. A case study for an actual project is presented for demonstrational purposes.

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This paper qualitatively and quantitatively examines the effectiveness of regulations currently in place in the Korean mobile telecommunications market by comparing their intended objectives with the actual outcome, particularly with respect to the performance of market participants. The results show that the regulations have generally been effective in lowering the average revenue per user of carriers. However, the managed competition efforts of the government have also resulted in increased revenues for the top two carriers in the market without significantly affecting their general business operations.

The economics of unemployment compensation has attracted considerable attention over the past couple of decades in terms of positive analysis, but less attention has been devoted to labor migration issues in the job search equilibrium. In this study, we developed a rural-urban migration model where the urban labor market was characterized by job search during periods of unemployment. Characteristics of the steady state were analyzed and the unemployment compensation scheme was examined. From this model, we drew an inference of more or less migration occurring to the extent of how unemployment compensation was related to exogenous variables such as discounted gross income, urban rural productivity differentials, entry cost, and the employment tax rate.