• 제목/요약/키워드: Demand Analysis

검색결과 6,630건 처리시간 0.04초

공적분 분석을 이용한 우리나라 수입수산물의 수요함수 추정 : 관세감축영향분석 (Estimation of Demand Functions for Imported Fisheries Products Using Cointegration Analysis: Effect Analysis of Tariff Reduction)

  • 남종오;김수진
    • Ocean and Polar Research
    • /
    • 제32권1호
    • /
    • pp.23-40
    • /
    • 2010
  • This study investigated the effects of imported fisheries products on WTO/DDA tariff negotiations. To calculate the results, the study estimated the demand functions of imported fisheries products by using unit root and cointegration approaches. These approaches allowed us to solve spurious regression problems with macro-economic variables. In addition, this study surmised the effects of change by individually imported fish products from a tariff negotiation model using price elasticities of estimated import demand function. In a process of the analysis for estimating import effects, this study found out that 39 out of 128 imported fish products had positive (+) price elasticities or did not exhibit cointegrations. To cure this problem, this study suggested that the effects of these 39 imported products be estimated with the average variation rate of import volume, rather than by the Ordinary Least Squares approach. In this study, a case-study of tariff formula with coefficient 8 based on a 'Swiss formula' for priority duty rate of 2001 and 2008 was used by to analyze the effect of change in the 128 imported fish products of both years, respectively.

특수목적관광 유형 간의 대체보완 및 총 관광수요와의 영향관계 -상관관계분석 및 계량경제모형의 활용- (Substitute or Complementary among Types of Special Interest Tourism and A Causal Relationship between Total Individual Tourism Demand and Each Types -Application of Correlation Analysis and Econometrics Models-)

  • 곽강희
    • 한국콘텐츠학회논문지
    • /
    • 제11권8호
    • /
    • pp.409-418
    • /
    • 2011
  • 본 연구의 목적은 특수 목적관광유형들 간의 대체보완관계 및 총 개인관광수요와 각 유형의 특수목적관광 사이의 인과관계를 조사하기 위한 것이다. 서울에 거주하고 있는 500개의 표본 중에서 349개의 유효표본이 분석에 이용되었다. 통계적 분석방법으로서 상관관계분석은 대체보완관계의 파악을 위해 그리고 인과관계분석을 위해서는 계량경제모델이 적용되었다. 연구결과, 농촌관광과 해양관광은 상호 경쟁적 대체관계에 놓여 있었으며, 해양관광은 다른 어느 유형의 특수 관광보다 총 개인관광수요에 미치는 영향이 강하게 나타났다.

의약분업이 소비자후생에 미치는 영향 (The Welfare Effect of Mandatory Prescription in Korea)

  • 유정식
    • 보건행정학회지
    • /
    • 제9권4호
    • /
    • pp.65-86
    • /
    • 1999
  • In this study, we investigate the welfare effect of mandatory prescription(MP) in Korea. An immediate effect of MP is the increase in the implicit price of prescribed medicine, which could be obtained easily from drug stores before MP. This will lower the quantity demanded. which will in turn reduce the abuse of drugs. The key to the cost-benefit analysis of MP, therefore, should be focused on this point; price increase in the cost side and quantity decrease in the benefit side. Since we do not have as much information as needed for the analysis, however, we made strong assumptions for the clarity of numbers; the severity of moral hazard of medical doctors related to the sales of hospital drugs, constant demand elasticity, constant benefit multiplier of reduced drug usage, and so on, With these rather strong assumptions, we find that i) the benefit side is much more sensitive to demand elasticity than the cost side effect ii) the larger the demand elasticity, the greater the size of net gain of MP, though the result depends on the size of the benefit multiplier. This analysis shows that we need to have more information on the specific institutional path of health benefit diffusion caused by the reduction of drug usage, which was the major target of MP.

  • PDF

한국 도시가구의 담배소비와 보건의료지출: 가구 특성을 감안한 수요체계적 분석에 의한 가격탄력성 추정시도 (An Estimation of the Pyiee Elasticities of Tobacco and Health Demand of Korean Urban Households using Macro and Micro Level Data)

  • 김원년;이충열
    • 한국인구학
    • /
    • 제25권1호
    • /
    • pp.257-289
    • /
    • 2002
  • 담배가격은 담배소비를 조정하여 간접적으로 국민건강에 영향을 준다 이를 총계소비함수와 도시가계자료를 활용한 수요체계의 추정을 통하여 실증적으로 확인한 결과 담배가격의 수요탄력성은 국민일인당의 경우 -0.19, 18세이상 일인당의 경우 -0.176이다. 또 담배가격과 보건의료지출과의 교차가격 탄력성은 -0.2328로 추정되었다. 담배소비는 담배가격에 통계적으로 매우 유의하게 반응하여서 가격조절을 통한 소비억제정책이 효과적으로 작용할 수있음이 확인 되었고 담배가격인상이 국민건강을 증진시킨다는 주장의 실증적 근거가 확인되었다

역량스펙트럼 방법을 이용한 구조물의 비탄성 응답의 평가 (Inelastic Response Evaluation of Structures using Capacity Spectrum Method)

  • 송종걸
    • 한국전산구조공학회:학술대회논문집
    • /
    • 한국전산구조공학회 2002년도 가을 학술발표회 논문집
    • /
    • pp.161-168
    • /
    • 2002
  • To evaluate seismic performance of bridges, two procedures far capacity spectrum method are presented. The capacity spectrum procedures include the reduction factor-ductility-period relationship in order to construct the inelastic demand spectra from the elastic demand spectra. Application of the procedures is illustrated by example analysis. Maximum displacements estimated by the procedures are compared to those by inelastic time history analysis for several artificial earthquakes. The results show that the maximum displacements estimated by the procedures are, on overall, smaller than those by the inelastic time history analysis

  • PDF

도시철도 고가교 및 교량 교각의 연성도 내진설계와 내진성능 평가 (Ductility Demand-Based Seismic Design and Seismic Performance Evaluation of Urban Railway Bridge Pier)

  • 박승희;남민준;윤종구;김진호
    • 한국철도학회:학술대회논문집
    • /
    • 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
    • /
    • pp.1220-1226
    • /
    • 2011
  • The purpose of this study is to assess the seismic performance of a reinforced concrete pier using ductility demand-based seismic design method and nonlinear earthquake analysis. A computer program named MIDAS/Civil(MIDAS IT,2009) for the analysis of the reinforced concrete pier was used. The bridge pier was designed by the ductility demand-based seismic design. In addition, a seismic performance was evaluated through both capacity spectrum method and nonlinear time history method. In order to determine the seismic performance of the bridge pier, the maximum response values from the capacity spectrum method and nonlinear time history analysis were compared each other.

  • PDF

사무소용빌딩의 전력소비특성을 고려한 특징파라메터 및 회귀분석을 통한 조명 및 일반동력부하의 수용률 분석 (Recommended Practice for Demand Factor by Feature Parameters and Regression Analysis depending on Power Consumption Characteristics in Office Buildings)

  • 김세동;남기범;정형용;신화영;김성환
    • 한국조명전기설비학회:학술대회논문집
    • /
    • 한국조명전기설비학회 2005년도 춘계학술대회논문집
    • /
    • pp.331-336
    • /
    • 2005
  • It is increased electrical energy consumption with the development of intelligence society in the office buildings and thus an energy conservation through efficient use of electricity became more important. This paper shows a reasonable design demand factor in office buildings, that was made by the systematic and statistical way considering actual conditions, such as investigated electric equipment capacity, peak power consumption, demand factor, etc., for 54 office buildings and 34 electrical design offices. In this dissertation, it is necessary to analyse the key features and general trend from the investigated data. It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, minimun and thus it was carried linear and nonlinear regression analysis.

  • PDF

사무소용빌딩의 전력소비특성을 고려한 특징파라메터 및 회귀분석을 통한 수용률과 변압기최대이용률 비교 분석 (Recommended Practice for Demand Factor and Maximum Utilization Factor by Feature Parameters and Regression Analysis depending on Power Consumption Characteristics in Office Buildings)

  • 김세동
    • 한국조명전기설비학회:학술대회논문집
    • /
    • 한국조명전기설비학회 2007년도 춘계학술대회 논문집
    • /
    • pp.241-244
    • /
    • 2007
  • It is increased electrical energy consumption with the development of intelligence society in office buildings and thus an energy conservation through efficient use of electricity became more important. This paper shows a reasonable design demand factor in office buildings, that was made by the systematic and statistical way considering actual conditions, such as investigated electric equipment capacity, peak power consumption, demand factor, etc., for 132 office buildings. In this dissertation, it is necessary to analyze the key features and general trend from the investigated data. It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, minimun and thus it was carried linear and nonlinear regression analysis.

  • PDF

데이터 마이닝을 이용한 양방향 전력거래상의 단기수요예측기법 (Short-term demand forecasting method at both direction power exchange which uses a data mining)

  • 김형중;이종수;신명철;최상열
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2004년도 하계학술대회 논문집 A
    • /
    • pp.722-724
    • /
    • 2004
  • Demand estimates in electric power systems have traditionally consisted of time-series analyses over long time periods. The resulting database consisted of huge amounts of data that were then analyzed to create the various coefficients used to forecast power demand. In this research, we take advantage of universally used analysis techniques analysis, but we also use easily available data-mining techniques to analyze patterns of days and special days(holidays, etc.). We then present a new method for estimating and forecasting power flow using decision tree analysis. And because analyzing the relationship between the estimate and power system ceiling Trices currently set by the Korea Power Exchange. We included power system ceiling prices in our estimate coefficients and estimate method.

  • PDF

국내 태양광산업에서의 기업집단별 특성과 기업간 수요공급관계의 이해 (The Characteristic of Enterprise Groups and the Demand-Supply Relation Analysis in the Korea Solar Energy Industry)

  • 박창걸
    • 한국태양에너지학회 논문집
    • /
    • 제34권4호
    • /
    • pp.83-90
    • /
    • 2014
  • South Korea's solar energy industry has been made vertical integration and specialization as part of the restructuring in the downturn of the world economy and the oversupply situation of raw materials. This study is to understand the characteristics of the solar energy industry, using data to systematic approach. In this study, it was defined the major business of firms as 22 business types and classified into 5 enterprise groups as technology and business strategy. After that, It was deduced features of Enterprise group by the statistical analysis and looked to draw a map of the industrial structure by social network analysis using the information on companies' demand and supply.