• 제목/요약/키워드: price stability

검색결과 277건 처리시간 0.027초

학교급식 친환경농산물의 가격실태 분석과 시사점 -충남 친환경 학교급식을 중심으로- (Price Realities and their Implications of Environment-friendly Agricultural Products for School Food Service - Focused on the Chungnam-Do Case -)

  • 김호
    • 한국유기농업학회지
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    • 제28권4호
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    • pp.491-504
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    • 2020
  • School food services using environment-friendly agricultural products (E.F.A.E) have been promoted by school food service center (S.F.S.C) of each county in Chungnam. Since Dangjin S.F.S.C was established for the first time in 2011, 13 S.F.S.Cs have been established in 13 counties of Chungnam. 9 S.F.S.Cs of them have been managed directly by each county and 4 S.F.S.Cs of them managed by contracted cooperatives. Price deviation of 8 foodstuffs (rice, radish, spinach, cabbage, scallion, onion, garlic and potato) which are consumed much relatively was showed differently by counties. And in the average price of 8 foodstuffs, that of foodstuffs produced within the county was lower than that of produced in Chungnam and domestic. Also, the coefficient of variation of school foodstuffs was lower than that of retail market because S.F.S.C has procured school foodstuffs by contract cultivation between each S.F.S.C and producers. Contract cultivation effected on E.F.A.E price stability and producers' farm income.

전압안정도 및 과도 안정도틀 고려한 모선가격 산정 (Nodal price of the power system considering voltage and transient stability)

  • 김용하;이범;최상규;조성린;정현성;오석현;김동근
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 제37회 하계학술대회 논문집 A
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    • pp.129-130
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    • 2006
  • This paper presents a optimal power flow calculation algorithm considering voltage and transient stability. In this method, voltage stability margin and transient stability constraints is incorporated into a optimal power flow calculation formulation to guarantee adequate voltage and transient security levels in power system. In addition, this paper provides the Effect of Nodal Price and decomposed Element in Power System Operation. This Effect can be applied in the Estimation of Electric rates because the Electric market will be Competitive Market. The proposed method is applied to IEEE-24 Reliability Test System and the results shows the effectiveness of the method.

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수산업관측사업의 가격안정화 효과 분석 (Price Stabilization Effect of the Fisheries Outlook Project)

  • 이상호;정원호
    • 수산경영론집
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    • 제53권4호
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    • pp.15-26
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    • 2022
  • This paper analyzed the price stabilization before and after the fisheries outlook project for seaweed, flatfish, and abalone. First, the stabilization effect was analyzed through the price variation coefficient before and after the observation project. In terms of the variation coefficient, there was no effect that the price was stabilized through the seaweed outlook project. However, it can be seen that flatfish and abalone have a price-stabilizing effect. Second, as a result of analyzing the price stabilization effect through the improved ARMA-T-GARCH model, it was confirmed that seaweed was not statistically significant while flatfish and abalone had a price stabilization effect by statistically significantly reducing volatility of real prices after the introduction of the fisheries outlook project. Third, as a result of analyzing the factors affecting price stability, it was found that the price of seaweed was stabilized after the WTO, but the Japanese earthquake expanded the price volatility. In the case of flatfish, it was analyzed that the price stabilized after the WTO and the Great Japanese Earthquake. Finally, the price of abalone has stabilized since the WTO and the Great Japanese Earthquake.

중국 물가가 한국.미국.일본의 물가에 미치는 영향 (The Effect of Chinese Price on the Price of Korea, United States, and Japan)

  • 노상채;김창범
    • 통상정보연구
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    • 제10권3호
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    • pp.355-367
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    • 2008
  • The purpose of this study is to estimate and analyse the relationship between Chinese price and the price of Korea, United States, and Japan. First of all, We test for a unit-root for stability of variable. This paper employs GPH cointegration test since the model must be stationary to get the accurate predicted values. The empirical results show that the model is mean-reverting. This paper also applies impulse-response functions to the model. The empirical results show that the price of Korea, United States, and Japan respond positively to the shocks in Chinese price and then decay slowly.

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서울시 주택전세가격 변동양상에 대한 실증분석 (The Empirical Analysis about Structural Characteristics of the Housing Jeonse Price Change in Seoul)

  • 정영기;김경훈;김재준
    • 한국디지털건축인테리어학회논문집
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    • 제12권1호
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    • pp.89-98
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    • 2012
  • While the housing transaction price of Seoul tends to be stagnant or declining in line with the housing market recession since 2007, the jeonse price keeps continual increase. Such flow of jeonse price change has a serious influence on ordinary person's housing stability seriously. Therefore, it is very meaningful in terms of social policy to analyze the trend of recent jeonse price change. This study aims to have an empirical analysis of structural characteristics of the trend of recent jeonse price change. After the review of various previous studies, this study selected housing jeonse price index, non-sold house quantity, jeonse vs. transaction price rate, and housing construction performance as analytical variables, and employed monthly time series resources from January 2007 to April 2011. As a result, when the housing supply reduced, the potential quantity for jeonse market reduced that occurred unbalance of supply and demand in jeonse market. In turn, it caused the increase of jeonse price. And, in case of jeonse vs. transaction price rate change, the rate increased which means the increase of required rate of return of invested demand. As such, the increase of market risk degenerates the investment sentiment which caused the reduction of quantity for jeonse market as a submarket.

비철금속(非鐵金屬)의 최근(最近)의 추이(推移) (The Latest Trend on Production, Consumption and Price of Non-Ferrous Metals)

  • 문원주
    • 자원환경지질
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    • 제3권3호
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    • pp.141-161
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    • 1970
  • The outline of general trend on production, consumption and price of non-ferrous metals during 1969 is summerized in the paper. The production of every non-ferrous metals has increased compare to that of last year, and their consumption except silver has also increased. Specially the rate of growth of production is that; The rate of growth of consumption is such; The prices of gold and silver have decreased since last November due to the stability of international currency and the creation of S.D.R. at I.M.F., but those of other metals have increased, marking the price at the end of 1969 as follows: Cupper price of Foreign Refinery showed ¢72.471/lb(increased 39% per year), lead and Zinc jumped up to the highest price since the Korean War (1951-1953), showing the lead price ¢16.50/lb (increased 27% per year) and the zinc price ¢15.50/lb (increased 15% per year). Price of tungsten was higher than the agreed price that was made between Korea and U.S.A. during 1951 through 1954, showing $63.4/S.T.U. (increased 13% per year). The price of molybdenum was slightly increased from $1.62 to $1.72 (increased 6% per year). In summing up, the year of 1969 was the golden age for the nonferrous metals. It is, hawever, expected that in the next few years, the consumption rate and the prices of non-ferrous metals will be declined compared to those of 1969.

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Foreign Uncertainty and Housing Distribution Market in Korea

  • Jeon, Ji-Hong
    • 유통과학연구
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    • 제16권12호
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    • pp.5-11
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    • 2018
  • Purpose - We investigate the relationship between economic policy uncertainty (EPU) of the US and China and housing distribution economy in Korea using EPU indexes of two countries and the economic indicators in Korea. Research design, data, and methodology - We use the data such as the Korean housing price stability index (HPSI), housing purchase price index (HPPI), housing lease price index (HLPI), banking stock index (BSI), and consumer price index (CPI) with EPU indexes from January 1999 to December 2017. As an empirical methodology, we select the vector error correction model (VECM) due to the existence of cointegration. Result - As results of the impulse response function, the impact of the US EPU index has initially a negative response on the Korean HPSI, HPPI, and HLPI referring the housing distribution market including the economic variables, BSI, and CPI. Likewise, the impact of index in China has initially a negative response on economic indicators except the BSI in Korea. Conclusions - This study shows that the EPU index of the US has significantly negative relationships on all economic indicators in Korea. In this study, we reveal EPU of the US and China has dynamic impact on housing distribution economy returns in Korea.

How Vulnerable is Indonesia's Financial System Stability to External Shock?

  • Pranata, Nika;Nurzanah, Nurzanah
    • The Journal of Asian Finance, Economics and Business
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    • 제4권2호
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    • pp.5-17
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    • 2017
  • The main objective of the study is to measure the vulnerability of Indonesia's financial system stability in response to external shocks, including from regional economies namely three biggest Indonesia major trading partners (China, the U.S and Japan) and other external factors (oil price and the federal funds rate). Using Autoregressive Distributed Lag (ARDL) model and Orthogonalized Impulse Response Function (OIRF) with quarterly data over the period Q4 2002 - Q1 2016, results confirm that, 1) oil price response has the largest effect to Indonesia financial stability system and the effect period is the longest compared to others, represented by NPL and IHSG; 2) among those three economies, only China's economic growth has significantly positive effect to Indonesia financial stability system. Based on the findings it is better for the authorities to: 1) Diversify international trade commodities by decreasing share of oil, gas, and mining export and boosting other potential sectors such as manufacture, and fisheries; 2) Ensure the survival of Indonesia large coal exporter companies without neglecting burden of national budget; and 3) Create buffer for demand shock from specific countries by diversifying and increasing share of trading from other countries particularly from ASEAN member states.

VAR 모형을 이용한 유통단계별 갈치가격의 인과성 분석 (A Causality Analysis of the Hairtail Price by Distribution Channel Using a Vector Autoregressive Model)

  • 김철현;남종오
    • 수산경영론집
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    • 제46권1호
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    • pp.93-107
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    • 2015
  • This study aims to analyze causalities among Hairtail prices by distribution channel using a vector autoregressive model. This study applies unit-root test for stability of data, uses Granger causality test to know interaction among Hairtail Prices by distribution channel, and employes the vector autoregressive model to estimate statistical impacts among t-2 period variables used in model. Analyzing results of this study are as follows. First, ADF, PP, and KPSS tests show that the change rate of Hairtail price by distribution channel differentiated by logarithm is stable. Second, a Granger causality test presents that the producer price of Hairtail leads the wholesale price and then the wholesale price leads the consumer price. Third, the vector autoregressive model suggests that the change rate of Hairtail producer price of t-2 period variables statistically, significantly impacts change rates of own, wholesale, and consumer prices at current period. Fourth, the impulse response analysis indicates that impulse responses of the structural shocks with a respectively distribution channel of the Hairtail prices are relatively more powerful in own distribution channel than in other distribution channels. Fifth, a forecast error variance decomposition of the Hairtail prices points out that the own price has relatively more powerful influence than other prices.

뉴스 감성 앙상블 학습을 통한 주가 예측기의 성능 향상 (An Accurate Stock Price Forecasting with Ensemble Learning Based on Sentiment of News)

  • 김하은;박영욱;유시은;정성우;유준혁
    • 대한임베디드공학회논문지
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    • 제17권1호
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    • pp.51-58
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    • 2022
  • Various studies have been conducted from the past to the present because stock price forecasts provide stability in the national economy and huge profits to investors. Recently, there have been many studies that suggest stock price prediction models using various input data such as macroeconomic indicators and emotional analysis. However, since each study was conducted individually, it is difficult to objectively compare each method, and studies on their impact on stock price prediction are still insufficient. In this paper, the effect of input data currently mainly used on the stock price is evaluated through the predicted value of the deep learning model and the error rate of the actual stock price. In addition, unlike most papers in emotional analysis, emotional analysis using the news body was conducted, and a method of supplementing the results of each emotional analysis is proposed through three emotional analysis models. Through experiments predicting Microsoft's revised closing price, the results of emotional analysis were found to be the most important factor in stock price prediction. Especially, when all of input data is used, error rate of ensembled sentiment analysis model is reduced by 58% compared to the baseline.