• 제목/요약/키워드: Steel price

검색결과 110건 처리시간 0.029초

The Impact of Housing Price on the Performance of Listed Steel Companies Evidence in China

  • Huang, Shuai;Shin, Seung-Woo;Wang, Run-Dong
    • 아태비즈니스연구
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    • 제11권2호
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    • pp.27-43
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    • 2020
  • Purpose - This study explores the impact of the real estate industry on related industries for the perspective of Chinese steel companies. Design/methodology/approach - The impact of housing prices on the 41 listed steel companies' performance was analyzed by using the panel data model. We used two kinds of housing price indexes that are set in the panel data models to estimate the range of the real estate market, driving the performance growth of steel listed companies. Moreover, the net profit of steel companies is used as the dependent variable. To test the stability of the model, ROA used as a dependent variable for the robustness test. Also, to avoid the time trend of housing prices, this paper selects the growth rate of housing prices as the primary research variable. After Fisher-type testings, there is no unit root problem in both independent and dependent variables. Findings - The results indicated that the rise in the housing price has a positive influence on the steel company performance. When the housing price increases by 1%, the net profit of steel enterprises will increase by 5 to 20 million yuan. Research implications or Originality - In this paper, empirical data at the micro-level and panel model are used to quantify China's real estate industry's driving effect on the iron and steel industry, providing evidence from the microdata level. It helps us to understand further the status and role of China's real estate industry in the economic structure.

한국 철강산업의 국민경제적 파급효과 분석 (Role of the Korea Steel Industry in the National Economy Analysis)

  • 정군오;임응순
    • 한국산학기술학회논문지
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    • 제9권3호
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    • pp.831-839
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    • 2008
  • 전 세계적으로 철강산업의 중요성은 높아지고 있으며, 철강수요 역시 증가하고 있는 추세이다. 한국 철강산업의 철강생산량은 전 세계에서 5위를 차지하고 있어 국내에서는 철강산업에 대한 관심이 커져가고 있다. 또한 철강산업은 국내에서 경제성장을 이끌어 온 국가기간산업중의 하나이다. 이에 본 연구에서는 산업연관분석을 이용하여 철강산업이 국민경제에 미치는 파급효과들을 시계열로 분석하여 보고자 한다. 먼저 수요유도형 모형을 이용하여 생산유발효과, 부가가치 유발효과 그리고 취업유발효과를 살펴 볼 것이며, 아울러 공급유도형 모형 및 레온티에프 가격모형을 적용하여 철강산업의 공급지장효과와 물가파급효과에 대하여 살펴보고자 한다.

ICC 중재법원의 판정사례에 관한 연구 -이집트와 유고슬라비아의 철강제수출입분쟁사건을 중심으로- (A Study on the ICC Arbitration Case -Disputes of Steel Bars Ex-Im Contract between Egypt & Yugoslav-)

  • 한재필
    • 한국중재학회지:중재연구
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    • 제18권1호
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    • pp.49-69
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    • 2008
  • This study is to analyze the case law on the disputes of the ex-im contract of steel bar from Yugoslav to Egypt, for which awards were made by the ICC Arbitration Court, trying to find out the characteristic approach of the tribunal toward arbitration case dealing with socialistic country, Yugoslav and Islamic Egypt. An Egyptian importer and an Yugoslavian Exporter concluded a contract, with an option to purchase an additional quantity. for the steel bar. The importer exercised this option as provided in the contract. But the exporter refused to honor the option, due to the fact that the world market price for the steel bar has gone up. As a result, the importer had to purchase the steel bar as a replacement from a Rumanian company at the price higher than the original contract. And it has initiated arbitration under the arbitration clause at the ICC Arbitration Court to claim compensation for the loss due to the price difference. CISG and ULIS were closely studied along with the Yugoslav Law to determine whether the exporter could be exempted from the liability to damages. But the tribunal denied to accept the exporter's contention. The tribunal decided that the importer was entitled to damages due to the exporter's failure to deliver the additional quantity of goods at the original price. It was due to the fact that the price increase was not extremely sudden & high enough to exceed a reasonable entrepreneurial risk and also could be taken into account when concluding the contract.

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핸디사이즈 운임지수 및 스팟용선료 변화에 영향을 미치는 요인 분석 (Factor Analysis Affecting on Changes in Handysize Freight Index and Spot Trip Charterage)

  • 이충호;김태우;박근식
    • 한국항만경제학회지
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    • 제37권2호
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    • pp.73-89
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    • 2021
  • 핸디사이즈 벌크선 시장은 중대형 선박으로 운송이 불가능한 다양한 화물을 운송할 수 있으며, Spot용·대선 시장이 활성화 되어 있고 중대형 벌크선과 독립적인 성격의 시장으로 단기간에 변화하는 시황 및 용선료 변동성에 의한 위험이 보다 많은 시장이다. 본 연구에서는 부정기 벌크선 선형에서 핸디사이즈 운임지수(BHSI)와 Spot용선료에 영향을 미치는 요인들을 검정하고 요인들의 과거 값을 이용하여 종속변수의 동태적 반응을 파악 및 단기 예측을 위하여 벡터자기회귀모형(VAR)을 이용하여 분석을 하였다. 인과성 검정 결과 핸디사이즈의 주요 선적 화물인 원료탄, 일본후판, 열연강판의 가격과 선복량, 선박유가와 인과관계가 나타났으며, VAR모형의 적정시차와 안정성을 확인 후 충격반응함수와 예측오차분해분석을 실시하였다. 충격반응함수 분석 결과 원료탄 가격, 열연강판 가격, 선박유가 3가지 변수는 신뢰구간 상한과 하한이 모두 같은 구간으로 유의하다고 나타났으며, 열연강판 가격의 충격이 가장 유의한 영향을 미치는 것으로 확인되었다. 운임지수(BHSI)와 Spot용선료 두 종속변수 모두 거의 동일한 결과로 나타났으며 t시점에서 발생한 원료탄가격의 표준편차 1단위의 충격에 양(+)의 영향, 열연강판 가격의 충격에 양(+)의 영향, 선박유가의 충격에는 음(-)의 영향의 결과를 보였다. 예측오차 분산분해분석 결과 운임지수(BHSI)와 Spot용선료에 영향을 미치는 설명력은 열연강판 가격, 원료탄 가격, 선박유가, 일본후판 가격, 선복량 순으로 동일하게 나타났으며 열연강판 가격의 설명력은 3기부터 점차 상승하여 운임지수에는 30%, Spot용선료에는 26%까지 영향을 미친다고 나타났다. 기존 선행연구와 차별화하여 단기적인 시차 영향을 알아보기 위해 주요 선적화물의 월간 가격 데이터를 사용하여 분석을 수행하였으며, 월 단위 시황 예측이 가능한 유의미한 결과를 도출하였다. 이 연구가 핸디사이즈 선박을 운항하는 선사와 핸디사이즈 용·대선 시장 관계자들에게 단기적인 시황 예측에 도움이 될 수 있다는데 의의가 있다고 생각한다.

HR Plate의 강박스거더 적용 연구 (Application of HR-Plate in Steel Box Girder)

  • 이성행;함형길;김경남;정경섭
    • 한국공간구조학회논문집
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    • 제7권4호
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    • pp.63-72
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    • 2007
  • 국내외적으로, 특히 중국에서 철강산업의 수요증대로 철판의 가격이 다른 재료에 비하여 급격하게 상승되고 있다. 열연 코일로부터 만들어지는 HR Plate는 후판에 비하여 가격이 저렴하다. 본 연구에서는 HR Plate의 재료특성을 검토하고, 강교에서 부부재와 주부재로서 HR Plate의 적용성을 연구하였다. 연구결과 일반 후판과 HR Plate는 두께 22mm까지 절단, 조립성, 용접 등의 특성에 있어서 차이가 없었다. 강박스교량의 부부재로서 사용율과 손실율은 각각 $10{\sim}15%,\;10{\sim}l5%$로 조사되었다.

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시계열 분석 모델을 이용한 조선 산업 주요물가의 예측에 관한 연구 (A Study on the Prediction of Major Prices in the Shipbuilding Industry Using Time Series Analysis Model)

  • 함주혁
    • 대한조선학회논문집
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    • 제58권5호
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    • pp.281-293
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    • 2021
  • Oil and steel prices, which are major pricescosts in the shipbuilding industry, were predicted. Firstly, the error of the moving average line (N=3-5) was examined, and in all three error analyses, the moving average line (N=3) was small. Secondly, in the linear prediction of data through existing theory, oil prices rise slightly, and steel prices rise sharply, but in reality, linear prediction using existing data was not satisfactory. Thirdly, we identified the limitations of linear prediction methods and confirmed that oil and steel price prediction was somewhat similar to actual moving average line prediction methods. Due to the high volatility of major price flows, large errors were inevitable in the forecast section. Through the time series analysis method at the end of this paper, we were able to achieve not bad results in all analysis items relative to artificial intelligence (Prophet). Predictive data through predictive analysis using eight predictive models are expected to serve as a good research foundation for developing unique tools or establishing evaluation systems in the future. This study compares the basic settings of artificial intelligence programs with the results of core price prediction in the shipbuilding industry through time series prediction theory, and further studies the various hyper-parameters and event effects of Prophet in the future, leaving room for improvement of predictability.

DEA AHP 모형을 통한 철강유통산업에서의 공급업체 선정 (Supplier Selection using DEA-AHP Method in Steel Distribution Industry)

  • 박진규;김판수
    • 산업경영시스템학회지
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    • 제40권2호
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    • pp.51-59
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    • 2017
  • Due to the rapid change of global business environment, the growth of China's steel industry and the inflow of cheap products, domestic steel industry is faced on downward trend. The change of business paradigms from a quantitative growth to a qualitative product is needed in this steel industry. In this environment, it is very important for domestic steel distribution companies to secure their competitiveness by selecting good supply companies through a efficient procurement strategy and effective method. This study tried to find out the success factors of steel distribution industry based on survey research from experts. Weighted values of each factors were found by using AHP (analytic hierarchy process) analysis. The weighted values were applied to DEA(data envelopment analysis) model and eventually the best steel supply company were selected. This paper used 29 domestic steel distribution firms for case example and 5 steps of decision process to select good vendors were suggested. This study used quality, price, delivery and finance as a selection criteria. Using this four criterions, nine variable were suggested. Which were product diversity, base price, discount, payment position, average delivery date, urgency order responsibility and financial condition. These variables were used as a output variable of DEA. Sales and facilities were used as an input variable. Pairwise comparison was conducted using these variables. The weighted value calculated by AHP pairwise comparison were used for DEA analysis. Through the analysis of DEA efficiency process, good DMU (decision making unit) were recommended as a steel supply company. The domestic case example was used to show the effectiveness of this study.

인공지반에서 토양하중에 따른 건축구조물 골조원가의 비교연구 (A Comparative Study on the Costs of Structural Materials Based on Different Types of Soil Load on Artificial Ground)

  • 김도경;황지환
    • 한국조경학회지
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    • 제29권6호
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    • pp.72-81
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    • 2002
  • The purpose of this study is to determine the impact of the soil load for artificial ground on a building's structural expenses. Three types of soil - 100% soil, soil mixed with 50% perlite, and 100% artificial soil - were used for this study. A one story concrete steel building specific to each soil load was designed, and then, the cost of steel and concrete used for the design was estimated. As the result of this study, the structural expenses in the case of 5:5 mixed soil can be reduced about 17% compare with 100% soil. Using artificial soil, the structural expenses can be cut about 32% compare to 100% soil and about 12% less when 5:5 mixed soil is used. However, considering total expense which includes the structural expense and soil expense, the expense of 5:5 mixed soil have an increase 25% compared with 100% soil. In the artificial soil, the total expense is 45% more expensive than 100% soil and 17% higher when 5:5 mixed soil is used because of the high unit price of artificial soil. This study expected substantial savings in structural cost as the soil-load was lightened. But, savings were significantly reduced because the unit price of the artificial soil is much more expensive than the price of the natural one. Therefore, further research on methods of reducing the unit price of the artificial soil should be conducted in order to extend green space on to artificial ground.

미·중 무역분쟁이 한국 수출기업 주식가격에 미치는 영향 (Impact of US-China Trade War on Stock Price of Korean Exporting Firms)

  • 원유경;이재득
    • 무역학회지
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    • 제45권1호
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    • pp.173-201
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    • 2020
  • As the US's trade deficit with China and China's manufacturing industry has risen rapidly, the US has begun to regulate trade items as part of China's checks. Four rounds of reprisal measures have greatly altered the trade structures of both countries. In particular, Korea, which is highly dependent on the US and China, has been directly affected by US-China trade disputes. The purpose of this study was to analyze the effects of US-China trade disputes on the stock price of Korean export firms by performing an event study. This study analyzed stock price fluctuations for 7 days before and after entry into forced [Please check] retaliatory tariffs on Korean exporters' export items subject to retaliatory tariffs. According to the analysis results, among companies that produce goods with major tariffs imposed on China by the US, such as electronic appliances, semiconductors, machinery, and automobiles, those producing electronics and semiconductor products were positively affected by the tariff incident. Secondly, among the companies producing steel, chemicals, and machinery, which the main tariffs imposed by the United States, companies producing steel and chemicals were negatively affected by the incident due to the stagnation of trade between China and the US. The results of this study suggest future trade policy directions for Korea and help to establish an export strategy for major industries.

24kV급 배전반의 외함재질과 두께에 따른 Bus bar와 외함의 전자기 손실특성 분석 (Analysis on Electromagnetic Loss Characteristics of Bus bar and Enclosure according to the Specifications of Enclosures for a 24kV Switchgear)

  • 허정일;홍종기;강형구
    • 전기학회논문지P
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    • 제62권4호
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    • pp.181-185
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    • 2013
  • This paper deals with the electromagnetic loss characteristics of enclosures for a 24kV high voltage switchgear by using a finite element method (FEM). A study on the electromagnetic characteristics of enclosures for a high voltage switchgear should be conducted to minimize the size and the temperature rising of a switchgear. Generally, the enclosures made by stainless steel are used to minimize the eddy current loss caused by the transporting current in Bus bars due to its non-magnetic characteristics although the price of stainless steel is expensive compared with other metal for enclosures. Therefore, a switchgear made by stainless steel enclosures could be fabricated as a small size and are applied to a switchgear in urban substations. On the contrary, the switchgear enclosures made by steel could be fabricated with relatively cheap manufacturing price. However, the temperature easily rises due to the transporting current in Bus bars because steel is a ferromagnetic material. Therefore, the size of a switchgear made by steel enclosures is relatively massive and installed in rural substations. In this paper, the electromagnetic losses in the enclosures of a switchgear according to various enclosure thicknesses are calculated and compared with each other. Especially, we proposed a hybrid type enclosures for a switchgear made by stainless steel (top and bottom enclosure) and steel (left and right enclosure). It is concluded that the cost electromagnetic performance of applying the hybrid type enclosure is favorable to develop a high voltage switchgear.