• Title/Summary/Keyword: 선형경제

Search Result 566, Processing Time 0.022 seconds

A Study on The Hull Form Development Plan of Multi-purpose Costal Small Ship (다목적 연안 소형어선의 선형개발 방안 연구)

  • Cho, Je-Hyoung;Park, Choung-Hwan;Back, Young-Su;Kang, Byung-Yoon
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
    • /
    • 2002.05a
    • /
    • pp.237-242
    • /
    • 2002
  • 최근 우리나라 연안어업은 한일, 한중어업협정, WTO 가입 등으로 주변 환경이 급격하게 변화되는 한편, 연근해 어자원의 감소와 근해어업과의 경쟁조업 등으로 인해 경영수지가 극도로 악화되고 있다. 이로 인해 연안어민들의 최소 생계기반 마저 위협받고 있는 실정이다. 이에 본 연구는 연안어업의 수익향상과 자원관리 측면에서 경제성 연안 어선의 선형개발 방안을 검토하였다. 이를 위해 새로운 어선어업 환경에서 요구하는 자원관리, 채산성보장 등의 경제 사회적 요건을 기술적 요소로 변환하여 다목적어선의 개념을 설정하고 관련 기초자료를 마련하였다. 특히, 연안어업을 동해, 서해, 남해, 서남해 등으로 나누어 허가업종의 실태와 어민 요구사항이 서로 다른 점을 감안하여 다목적화 가능 업종을 선정하고, 선형개발 방안을 도출, 정리하였다.

  • PDF

The Relationship between the Wage and the Productivity in the Korean Manufacturing Industry (거시적 관점에서의 임금과 생산성의 관계에 대한 연구 -우리 나라 제조업을 중심으로-)

  • Park, Sung-Joon;Oh, Yu-Jin
    • Journal of Labour Economics
    • /
    • v.24 no.3
    • /
    • pp.63-81
    • /
    • 2001
  • We focus on the relationship between the wage and the productivity in the Korean manufacturing industry over the period from the 1971 year to the 2000 year by using the Geweke's linear feedback method and the impulse response method. And we divide the whole period into the 1971-before the financial crisis and the 1971-2000 including the after the financial crisis to study the change of the relationship between the wage and the productivity after the financial crisis. The results are the followings; The productivity has the large influence on the wage positively, so that the improvement of the productivity boosts the wage and the vice versa in the before financial crisis period. It means that both the conventional wage setting theory and the alternative wage theory(efficiency wage and union theory) exist in the manufacturing industry. However, there exist only the conventional wage setting theory in the whole period.

  • PDF

Development of Economical Run Model for Electric Railway Vehicle using Genetic Algorithm (유전알고리즘을 이용한 철도차량 경제운전 모델 개발)

  • Lee, Tae-Hyeong;Park, Chun-Su;Choe, Seong-Hun;Kim, Seok-Won
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2007.04a
    • /
    • pp.364-366
    • /
    • 2007
  • 본 논문은 철도차량이 주행하는 선로에 존재하는 수많은 곡선과 경사, 속도 제한 조건 때문에 열차성능해석 계산시 열차의 견인, 제동 특성이 비선형이기 때문에 해석적인 방법으로 해를 구하는데 어려움이 많은 경제운전 문제를 운행 시간 여유분을 고려하여 에너지 소비를 최소화하는 운전 모형을 제시한다. 경제운전모형을 한국형 고속열차에 적용하여 그 타당성을 입증하였다.

  • PDF

The effects of Design Initial Condition on Renewal of Railway Existing Curves (철도 평면선형 개량시 설계초기조건이 미치는 영향)

  • Um, Ju-Hwan;Choi, Il-Yoon
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.16 no.4
    • /
    • pp.2906-2910
    • /
    • 2015
  • The alignment modifications after completion of railway construction entail a lot of efforts and time as well as high additional costs. In the process of renewal of the existing railway alignment to offer higher-speed services, the effect of initial design parameters(e.g., intersection angle) on determination of allowable degree of improvement of horizontal curves under consideration of economic efficiency is investigated in this study. From the analysis results, in the case that there are obstacles at the tangent line, it was found that the larger angle of intersection has a significant effect on the permissible zone. In addition, as the intersection angle is increased, the permissible values of maximum curve radius and the length of transition curve becomes smaller and longer, respectively. It is expected that this study can contribute to the efficient and accurate prediction of the permissible zone according to the locations of obstacles and the size of intersection angle as well as improvement in the railway alignment without any additional costs.

Macroeconomic and Non-Macroeconomic Forces Effect on the Management Performance of the Air Transport Firms (거시경제 및 비 거시경제변수가 항공운송업의 경영성과에 미치는 영향)

  • Kim, Su-Jeong
    • The Journal of the Korea Contents Association
    • /
    • v.13 no.3
    • /
    • pp.352-361
    • /
    • 2013
  • The purpose of this study is to analyse the impact of macroeconomic and non-macroeconomic forces on the management performance of the air transport firms and offer the useful information to the managers. To conduct the regression analysis, eight macroeconomic and non-macroeconomic variables were selected individually as an independent variable. Macroeconomic variables were the return of corporate bond, West Texas Intermediate, the unemployment rate, the money supply, the trade balance, the won to USD exchange rate, the consumer price index and the index of industrial production. And non-macroeconomic variables were Taiwan earthquake, the Asian economic crisis, the 911 terrorist attacks in the US, the Iraq war, Beijing Olympic, the outbreak of a swine flu epidemic, the 1st presidential election and the 2nd presidential election. And ROA was selected as a dependent variable. As the result of analysis, it was found that the changing rates of won to USD exchange rate and consumer price index affected the changing rate of ROA significantly. And also as the result of analysing the impact of two significant macroeconomic variables and eight non-macroeconomic variables on the changing rate of ROA, it was found that the Asian economic crisis and the outbreak of a swine flu epidemic had a negative impact on it. Therefore managers should take note of a change in macroeconomic and non-macroeconomic variables carefully to improve the management performance.

Predicting Stock Prices using Book Values and Earnings-per-Share Based on Linear Regression Model and Neural Network Model (장부가치와 주당 이익을 이용한 선형회귀모형과 신경망모형의 주가예측)

  • Choi, Sung-Sub;Koo, Hyeng-Keun;Kim, Young-Kwon
    • The Korean Journal of Financial Management
    • /
    • v.17 no.1
    • /
    • pp.161-180
    • /
    • 2000
  • 본 연구는 주가를 예측하는데 있어서 선형 회귀모형을 이용하는 방법과 비선형 인공신경망 모형을 이용하는 방법을 비교 분석하여, 어떤 모형이 더 우수한 예측성과를 내는지를 검증한다. 자본시장에서 투자자들은 접근하는 정보가 다르고 각기 상이한 예측 변수들을 토대로 나름대로의 예측치를 만들어 낸다. 이렇게 볼 때 개별 투자자들이 이용하는 다양한 정보집합을 결합하여 단일의 뛰어난 정보집합을 만들어내는 것은 매우 어려운 과제이다. 따라서 본 연구에서는 이용 가능한 소수의 예측 변수들을 어떤 방식으로 결합하는 것이 예측오차의 분산을 최소화할 수 있는지에 대한 현실적인 접근방법을 모색하고자 한다. 거시경제변수나 시장자료를 입력변수로 사용한 기존 연구와는 달리 본 연구에서는 재무제표 정보를 입력변수로 사용하였다 즉, 대차대조표의 최종요약치인 주당 지분의 장부가치와 손익계산서의 최종요약치인 주당 순이익을 입력변수로 사용했으며 1991년부터 1995년까지의 추정(학습)결과를 토대로 모형을 선택하여 1996년의 제무제표 정보로 1997년의 주가를 예측하는 것이 본 연구의 과제이다. 연구결과, 대체로 선형회귀모형에 비해 비선형 신경망 모형이 예측오차의 분산을 감소시키는 것으로 나타났다.

  • PDF

Study on the Resistance Prediction and Hull Form Optimization for Mathematical Hull Forms (수학적 선형의 저항특성 추정 및 선형 최적화에 대한 연구)

  • 민계식;이연승;강선형;한범우
    • Journal of the Society of Naval Architects of Korea
    • /
    • v.41 no.3
    • /
    • pp.1-12
    • /
    • 2004
  • In order to prepare the fuel-economic hull form design method for fine higher-speed ships, systematic theoretical and experimental study has been performed on the relation between hull form characteristics and ship's resistance and on the effect of the optimization of main hull form characteristics. The results of this study provide not only a great insight into the relation between ship's resistance and hull form characteristics, but also a proper direction of the optimization of main hull form characteristics for the improvement of ship's resistance characteristics.

A study of Predicting International Gasoline Prices based on Multiple Linear Regression with Economic Indicators (경제지표를 활용한 다중선형회귀 모델 기반 국제 휘발유 가격 예측)

  • Myeongeun Han;Jiyeon Kim;Hyunhee Lee;Sein Kim;Minseo Park
    • The Journal of the Convergence on Culture Technology
    • /
    • v.10 no.1
    • /
    • pp.159-164
    • /
    • 2024
  • The domestic petroleum market is highly sensitive to changes in international oil prices. So, it is important to identify and respond to those changes. In particular, it is necessary to clearly understand the factors causing the price fluctuations of gasoline, which exhibits high consumption. International gasoline prices are influenced by global factors such as gasoline supplies, geopolitical events, and fluctuations in the U.S. dollar. However, previous studies have only focused on gasoline supplies. In this study, we explore the causal relationship between economic indicators and international gasoline prices using various machine learning-based regression models. First, we collect data on various global economic indicators. Second, we perform data preprocessing. Third, we model using Multiple linear regression, Ridge regression, and Lasso(Least Absolute Shrinkage and Selection Operator) regression. The multiple linear regression model showed the highest accuracy at 96.73% in test sets. As a result, Our Multiple linear regression model showed the highest accuracy at 96.73% in test sets. We will expect that our proposed model will be helpful for domestic economic stability and energy policy decisions.