• KDI Journal of Economic Policy
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• v.9 no.1
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• pp.93-104
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• 1987

새로운 저작권법(著作權法)이 금년 7월(月)부터 시행(施行)됨에 따라 외국인저작물(外國人著作物)을 국내(國內)에서 출판(出版)하기 위하여는 외국저작권자(外國著作權者)에게 저작권(著作權) 사용료(使用料)를 지급(支給)해야 한다. 1984년(年) 현재 번역(飜譯)된 외국인저작물(外國人著作物)의 규모(規模)는 8,255종(種), 금액(金額)으로 약 440억(億)원으로 각각(各各) 전체(全體)의 24.9%와 10.9%에 달한다. 본연구(本硏究)에서는 외국인저작권(外國人著作權) 보호(保護)에 따른 출판물(出版物)의 가격상승(價格上昇)으로 인한 소비자(消費者) 부담(負擔)의 증가(增加)와 저작료(著作料) 지급(支給)으로 인한 외화지출(外貨支出) 부담(負擔)을 분석(分析)하였다. 이를 위하여, 첫째 국내출판산업(國內出版産業)의 현황(現況)을 분석(分析)하여 외국인저작물(外國人著作物)의 무단번역(無斷飜譯) 복사출판물(複寫出版物)의 시장규모(市場規模)를 파악(把握)하고, 둘째 저작물(著作物) 생산비용(生産費用)의 구조(構造)와 유통과정(流通過程)의 파악(把握)을 통하여 저작물(著作物)의 소비자가격(消費者價格) 결정요인(決定要因)을 분석(分析)하고, 세째 이러한 자료(資料)를 활용(活用)하여 외국인저작권(外國人著作權) 보호시(保護時)의 가격상승(價格上昇) 및 외환지출규모(外換支出規模)를 추정(推定)하였다. 분석결과(分析結果)에 의하면 외국인저작권(外國人著作權)의 보호(保護)로 인하여 번역물(飜譯物)과 복사물(複寫物)의 가격(價格)은 각각(各各) 12%와 25% 상승(上昇)하며, 1987~91년(年) 기간 중 외국저작권자(外國著作權者)에게 지급(支給)될 저작료(著作料)의 규모(規模)는 98억(億)원(1,200만(萬)달러)에 달할 것으로 예상(豫想)된다.

• Electronics and Telecommunications Trends
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• v.18 no.3 s.81
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• pp.49-55
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• 2003

본 연구는 초기의 기대와는 달리 침체된 수요를 보이고 있는 공중무선랜서비스의 수요 지체 원인을 분석한다. 공중무선랜서비스의 수요는 정부의 주파수 정책, 사업자간 로밍 전략, 휴대용 단말기의 기술력과보급률, 사업 전략과 고객의 행태 등이 복잡하게 얽혀 있다. 본 연구에서는 특히 고객의 행태에 초점을 맞추어 수요 지체원인을 분석하고 사업자에게 시사점을 제공한다. 이를 위해 서비스의 잠재 고객을 정의한후 이들을 대상으로 설문조사를 실시하고 설문 결과에 로지스틱 회귀분석을 적용하여 서비스 가입 의사결정에 주요한 영향을 미치는 요인을 분석한다. 분석결과 매월 지불비용과 NIC 가격이 잠재 고객의 서비스 가입에 결정적인 영향을 미치는 것으로 판명되었다. 또한 서비스 가입에 있어서 집단심리 효과가 존재하는 것으로 밝혀졌다.

• Environmental and Resource Economics Review
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• v.31 no.3
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• pp.393-417
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• 2022

Using hourly SMP data from 2016 to 2020, this paper measures the weekly realized volatility and investigates the main force of its determinants. To this end, we extend the Bayesian variable selection by incorporating the regime-switching model which identifies important variables among a large number of predictors by regimes. We find that the increase in coal and nuclear generation, as well as solar power, reinforce the SMP volatility in both high volatility and low volatility regime. In contrast the increase in gas generation and gas price decrease SMP volatility when SMP volatility is high. These results suggest that the expansion of renewable energy according to 2050 Carbon Neutrality or energy transition policies increases SMP volatility but the increase in the gas generation or reduction of coal generation might offset its impact.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.2
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• pp.241-248
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• 2013

The importance of the factors that influence on the sales from the owners of franchise beauty salons has been analized through AHP method. The result shows that the critical factors are workers, location, franchise brand power, facilities and price in turn. The importance of the low level shows that facilities, famous staffs, the appearance of workers, franchise brand's populality in turn.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.173-183
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• 2017

We investigate the factors affecting the price of apartments using the spatial and temporal data of private real estate prices. The factors affecting the price of apartment were analyzed using geographical and temporal weighted regression (GTWR) model which incorporates the temporal and spatial variation. In contrast to the OLS, a general approach used in previous studies, and GWR method which is most widely used for analyzing spatial data, GTWR considers both temporal and spatial characteristics of the house price, and leads to better description of the house price determination. Year of construction and floor area are selected as the significant factors from the analysis, and the house price are affected by them temporally and geographically.

• Journal of the Korean Geographical Society
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• v.49 no.6
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• pp.917-934
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• 2014

Geographically weighted regression(GWR) model has been widely used to estimate spatially heterogeneous real estate prices. The GWR model, however, has some limitations of the selection of different price determinants over space and the restricted number of observations for local estimation. Alternatively, the geographically weighted LASSO(GWL) model has been recently introduced and received a growing interest. In this paper, we attempt to explore various local price determinants for the real estate by utilizing the GWL and its applicability to forecasting the real estate price. To do this, we developed the three hedonic models of OLS, GWR, and GWL focusing on the sales price of apartments in Seoul and compared those models in terms of model fit, prediction, and multicollinearity. As a result, local models appeared to be better than the global OLS on the whole, and in particular, the GWL appeared to be more explanatory and predictable than other models. Moreover, the GWL enabled to provide spatially different sets of price determinants which no multicollinearity exists. The GWL helps select the significant sets of independent variables from a high dimensional dataset, and hence will be a useful technique for large and complex spatial big data.

• Korea Real Estate Review
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• v.28 no.1
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• pp.79-90
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• 2018

The purpose of this study was to estimate the pricing factors of residential lands in new cities by estimating the pricing model of residential lands. For this purpose, hedonic equations for each quantile of the conditional distribution of land prices were estimated using quantile regression methods and the sale price date of Jangyu New Town in Gimhae. In this study, a quantile regression method that models the relation between a set of explanatory variables and each quantile of land price was adopted. As a result, the differences in the effects of the characteristics by price quantile were confirmed. The number of years that elapsed after the completion of land construction is the quadratic effect in the model because its impact may give rise to a non-linear price pattern. Age appears to decrease the price until certain years after the construction, and increases the price afterward. In the estimation of the quantile regression, land age appears to have a statistically significant impact on land price at the traditional level, and the turning point appears to be shorter for the low quantiles than for the higher quantiles. The positive effects of the use of land for commercial and residential purposes were found to be the biggest. Land demand is preferred if there are more than two roads on the ground. In this case, the amount of sunshine will improve. It appears that the shape of a square wave is preferred to a free-looking land. This is because the square land is favorable for development. The variables of the land used for commercial and residential purposes have a greater impact on low-priced residential lands. This is because such lands tend to be mostly used for rental housing and have different characteristics from residential houses. Residential land prices have different characteristics depending on the price level, and it is necessary to consider this in the evaluation of the collateral value and the drafting of real estate policy.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.445-456
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• 2021

The purpose of this study is to identify the importance of variables affecting women's golf wear sales with macroeconomic variables and consumer selling prices that affect consumers' purchasing behavior, and to propose a price strategy to increase sales of golf wear. Data of domestic women's golf wear brands were analyzed using decision tree algorithms and ensemble. Consumer selling price is the most significant factors in terms of sales volume for T-shirt, pants and knit, while categories were found to be the most important factors in addition to consumer sales prices for skirt and one piece dress. These findings suggest that items have different economic variables that affect consumers' purchasing behavior, suggesting that sales and profits can be maximized through appropriate price strategies.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.113-118
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• 2023

This study analyzed the effects of macroeconomic variables, including housing affordability, and bank loan-related variables on variation in housing prices using multiple regression models. As a result of the analysis, consumer price growth rate, the total currency growth rate, and the housing affordability growth rate had a significant positive effect on changes in housing prices. As a result of analyzing the period of rising and falling housing prices, consumer price growth rate and the total currency growth rate during the period of rising housing prices had a significant positive effect on housing prices. Unlike the period of rising housing prices, the growth rate of household loans was found to have a significant positive effect on changes in housing prices. On the other hand, unlike the period of rising housing prices, the growth rater of mortgage loans was found to have a significant negative effect on changes in housing prices. The growth rate of housing affordability index did not have a significant positive effect on changes in housing prices during a falling housing prices. The determinants of housing prices showed different patterns during the period of rising housing prices and falling housing prices.

• Information Systems Review
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• v.4 no.2
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• pp.133-153
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• 2002

Internet lowers the search cost to acquire information about products and sellers price information. Because consumers can easily compare prices among different Internet retailers, the price competition among merchants in Internet has been intensified. For online retailers, it is important to differentiate their sites from competitors based upon services rather than prices. This study investigates which factors influence on consumers price sensitivity in Internet book markets and examines whether consumers price sensitivity has any effect on the type of preferred Internet bookstore (hybrid or pure online book stores). Survey is conducted to empirically investigate the relationship among the various consumer attitudes and price sensitivity. The result shows that price search and price importance have effect on the choice of Internet bookstore. Consumers with higher price sensitivity preferred to purchase books from pure Internet bookstores rather than hybrid (click-and-mortar) bookstores. This study provides an exploratory framework that tries to understand consumer behavior about price sensitivity that might provide some marketing implications to lessen the price competition of Internet retailers.