• Title/Summary/Keyword: 계량자료

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Valuation of Air Pollution related to Road Traffic in Seoul (대기오염의 경제적 가치 추정에 관한 연구 (서울시를 사례로))

  • 김강수
    • Journal of Korean Society of Transportation
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    • v.20 no.4
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    • pp.39-48
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    • 2002
  • 본 논문의 목적은 교통계획 및 투자 사업의 평가에 있어 대기오염 요소를 고려하기 위해 필수적인 기초자료인 대기오염에 의한 경제적 가치를 추정함에 있다. 이를 위하여 가상적인 주택선호자료를 바탕으로 대기오염 개선에 대한 가구의 지불용의액을 추정하고 이를 바탕으로 대기오염 피해의 화폐적 가치를 추정한다 특히, 국내에서는 적용된 바 없지만 마아케팅 및 교통수요 분석 부문에 있어 시간가치, 교통수단의 안락감 등 비계량적 요소의 경제적 가치 측정에 많이 사용되는 SP(Stated Preference)기법을 사용해서 대기오염 피해에 대한 화폐가치를 추정한다. 연구결과 가구의 점유형태에 따라 대기오염에 대한 경제적 가치가 유의적인 차이가 존재하며 도로교통에 의한 대기오염 1%의 경제적 가치는 240만원/가구.년으로 분석되었다. 대기오염물질별 경제적 가치를 살펴보면 $O_3$ 0.01ppm의 경제적 가치는 55.40만원/가구.년, N$O_2$ 0.01ppm 18.33만원/가구.년으로 추정되었다. 본 연구를 통해 교통투자사업의 평가에 있어 환경적 요소를 고려할 수 있는 기초자료를 마련하였으며, 교통분야 뿐만 아니라 환경관련 정책의 수립 분석에 중요한 기초 결과가 제시되었다. 본 결과가 교통분야에 더욱 유용하게 사용되기 위해서는 교통투자사업 또는 교통관리에 따른 교통량의 변화와 대기오염물질 배출량의 관계에 대한 연구가 추가적으로 필요하다고 판단되며 이 연구가 이루어지면 본 연구가 제시한 결과치는 교통투자사업의 편익/비용 분석에 중요하게 사용될 수 있을 것으로 판단된다. 본 연구의 한계로서는 조사지역이 전국에서 환경오염이 심한 서울지역에서 조사가 한정되었다는 점이며 이에 대한 앞으로의 연구가 필요하다.

Economic Effect of Competition in the Korean IT Service Industry (정보통신서비스산업에서 경쟁도입의 경제적 효과 분석)

  • Cho Sang-Sup;Min Wan-Kee;Jang Song-Ja
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2005.05a
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    • pp.5-17
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    • 2005
  • 본 연구는 경쟁도입이 비 체화된 기술진보에 반영된다는 가정에서 Habijn(2000)의 비 체화된 기술진보추출 방법론을 이용하여 1975년부터 2002년까지 정보통신서비스산업의 비 체화된 기술진보를 식별하였다. 또한 Bai et at.(1998, 2003)이 제시한 구조변화추정방법론을 이용하여, 상기 비 체화된 기술진보 측정치에 대한 구조변화시점을 추정하였다. 추정된 시점에 대한 실증분석결과를 보면, 비 체화된 기술진보의 구조적 변화시점은 본 연구대상자료의 21번째 자료년도인 1995년으로 나타났다. 또 다른 비 체화된 기술진보의 구조변화는 15번째 자료순서인 1989년도에 나타났다. 역시 다른 물리적 감가상각를$(5\%)$을 이용한 비 체화된 기술진보에 대하여 구조변화분석을 실시할 경우, 1995년도와 1981년으로 나타났다. 따라서 1995년 전후에 비 체화된 기술진보의 구조적 변화가 발생했다는 사실을 알 수 있었다. 이러한 실증분석결과는 다른 계량적 검증을 통하여 뒷받침되었다. 따라서 본 연구의 실증분석결과로 볼 때, 1995년 이후에 정보통신서비스산업에서 비 체화된 기술진보성장의 발전경로상에 커다란 구조변화를 경험하였으며, 새로운 경쟁도입이나 해당 산업활성화정책은 정보통신서비스산업발전에 긍정적 역할을 수행했음을 알 수 있었다.

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Prediction Modeling through Quantification for Qualitative Variables (질적변수에 대한 계량화를 통한 사면붕괴 예측모형)

  • Na, Jong-Hwa;Yu, Hye-Kyung;Nam, Eun-Mi;Cho, Wan-Sup
    • Journal of Korea Society of Industrial Information Systems
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    • v.14 no.5
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    • pp.281-288
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    • 2009
  • The purpose of this paper is to provide the statistical models for landslide prediction through quantification and AHP methods. Quantification method is a statistical method of providing quantity to qualitative variables by analyzing the observed data. In this paper, we suggest the quantification process based on the results of cannonical correlation analysis. In contrast with the quantification method which is based on given data the AHP(Analytic Hierarchy Process) technique is a kind of method based on questionaire data which is usually taken from professionals. We analyze both the real data(provided from KIGAM) and questionaire data collected from professionals of various related area. We developed two kinds of evaluation table which provide the scores of land slide possibility and the logistic model providing the probability of occurring landslide. Finally we compare the performance and evaluate the stability of the suggested two models.

Selecting the optimal threshold based on impurity index in imbalanced classification (불균형 자료에서 불순도 지수를 활용한 분류 임계값 선택)

  • Jang, Shuin;Yeo, In-Kwon
    • The Korean Journal of Applied Statistics
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    • v.34 no.5
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    • pp.711-721
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    • 2021
  • In this paper, we propose the method of adjusting thresholds using impurity indices in classification analysis on imbalanced data. Suppose the minority category is Positive and the majority category is Negative for the imbalanced binomial data. When categories are determined based on the commonly used 0.5 basis, the specificity tends to be high in unbalanced data while the sensitivity is relatively low. Increasing sensitivity is important when proper classification of objects in minority categories is relatively important. We explore how to increase sensitivity through adjusting thresholds. Existing studies have adjusted thresholds based on measures such as G-Mean and F1-score, but in this paper, we propose a method to select optimal thresholds using the chi-square statistic of CHAID, the Gini index of CART, and the entropy of C4.5. We also introduce how to get a possible unique value when multiple optimal thresholds are obtained. Empirical analysis shows what improvements have been made compared to the results based on 0.5 through classification performance metrics.

A Preliminary Study on the Development of Library R&D Policy Agenda (도서관 R&D 정책과제 발굴을 위한 기초연구)

  • Lee, Soo-Sang;Rho, Jee-Hyun
    • Journal of the Korean Society for information Management
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    • v.29 no.4
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    • pp.209-227
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    • 2012
  • This study intends to develop R&D policy agendas that are required to prepare a smart library/smart society in Korea libraries. To the end, methodology was established to explore policy issues and agenda for library R&D, and the preliminary agendas were drawn from informetrics, subject analysis, and brainstorming techniques. Then, the preliminary agendas were revised through supplementary works, such as the comprehensive investigation into research papers and the recent research projects. Based on the results, evaluation for the R&D agendas was performed. The Analytic Hierarchy Process (AHP) method was used as a structured technique for analyzing the importance and the priority of the agendas. This study can be used for improving and/or expanding quality of information services in Korean libraries and for exploring the requirements to play a crucial role in the future society.

A study of developing the efficiency test model of benefit enterprises in enterprise support business by using DEA (기업지원사업 수혜기업의 효율성 평가모형 개발에 관한 연구 - DEA를 적용하여 -)

  • Lee, Jong-Young;Kim, Myoung-Ho
    • Korean Business Review
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    • v.23 no.2
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    • pp.53-75
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    • 2010
  • Gangwon-do has evaluated the result of technical support business and marketing support business separately as a part of enterprise support business, and the evaluation, targeting enterprises, has been restricted to the investigation of satisfaction only. The study develops the model that assesses the efficiency of the enterprises using DEA, the econometric model which is approved the utility in efficiency evaluation, and evaluates it through the model. As a result, the model can be developed to the appropriate variable of the enterprise support business using the elements of input and output in the business. And by using the model of DEA, it is suggested the efficiency measurement of each enterprises' and improvement that inefficient enterprises must have. Especially, it is important to assess the efficiency of supporting enterprises primary.

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Application of geographical and temporal weighted regression model to the determination of house price (지리시간가중 회귀모형을 이용한 주택가격 영향요인 분석)

  • Park, Saehee;Kim, Minsoo;Baek, Jangsun
    • 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.

Estimation and Determinants on Residential Investment Profits in Seoul: A Focus on Housing Transaction Price from 2010 to 2018 (서울시 주택 예상투자이익 추정과 영향요인에 대한 시론적 분석 - 2010-2018년 주택 실거래가를 중심으로 -)

  • Ahn, Hye-Sung;Kang, Chang-Deok
    • Journal of the Korean Regional Science Association
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    • v.36 no.1
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    • pp.37-50
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    • 2020
  • Estimating investment profits of real estate is critical to understand real estate markets and create relevant policy as real estate market and capital market combines closely. Thus, this study applied the concept of Tobin's Q to estimate investment profits for apartments as well as row-houses and multi-family homes in Seoul from 2010 to 2018. Investment profits were estimated by two approaches: subtracting the replacement cost from the transaction price and calculating ratio of the transaction price to the replacement cost, respectively. The spatio-temporal changes in investment profits were apparent in apartments compared with row-houses and multi-family homes. As a result of analyzing the spatial econometrics models, the investment profit was higher in the area with high density and new developments regardless of the housing types. The framework and key findings would be the effective reference to understand residential investment behavior, create relevant housing policy, introduce value capture of windfall, measure regional competitiveness, and estimate housing bubble.

An Empirical Study on the Risk Index of Korean Securities Industry (우리나라 증권산업의 위험지수 작성에 관한 실증연구)

  • Chang, Kook-Hyun
    • The Korean Journal of Financial Management
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    • v.25 no.3
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    • pp.131-153
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    • 2008
  • This paper calculates the Risk Index of Korean securities industry that summarizes the information contained in seventeen financial indicators that represent risk categories such as capital adequacy(C), asset quality(A), earnings(E), and liquidity(L) by using the NBER statistical methodology. For the validation of Risk Index, expected default frequency has been used, and the result has been proved to be positive. According to the compiled Risk Index, the level of risks of Korean securities industry has been decreasing from the second quarter of 2003 to the first quarter of 2006 by 22 percent. But the risk has been increasing during the periods from the first quarter of 2002 to the first quarter of 2003 and from the first quarter of 2006 to the last quarter of 2006.

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Quantitative Analysis of Landscape in Tokyusan National Park (덕유산 국립공원 경관에 대한 계량적 분석)

  • 김세천
    • Korean Journal of Environment and Ecology
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    • v.7 no.2
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    • pp.231-240
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    • 1994
  • The purpose of this study is to suggest the objective basic data for applying to development and conservation management of the national park through the quantitative analysis of the visual quality included in the and physical environment of the Tokyusan National Park. For this, spatial images and structures, of natural elements have been analyzed by factor analysis algorithm, and degree of visual quality has been measured mainly through questionnaries. Result of this study can be summarized as follows. Factors covering the spatial image of the Tokyusan National Park landscape have been found to be the overall synthetic evaluation, appeal, spatial, natural quality and dignity factors such as the overall synthetic evaluation, spatial and appeal yield high factor scores. The main factors determining the degree of visual quality are the clearness valley, peculiarity of configuration, natural of trail, harmony of suitable artificial planting and temple.

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