• 제목/요약/키워드: run time impact

검색결과 101건 처리시간 0.019초

Causal Relationship among Bioethanol Production, Corn Price, and Beef Price in the U.S.

  • Seok, Jun Ho;Kim, GwanSeon;Kim, Soo-Eun
    • 자원ㆍ환경경제연구
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    • 제27권3호
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    • pp.521-544
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    • 2018
  • This paper investigates the impact of ethanol mandate on the price relationship between corn and beef using the monthly time-series data from January 2003 through December 2013. In addition, we examine the non-linearity in ethanol, corn, and beef markets. Based on the threshold cointegration test, we find the symmetric relationship in pairs with ethanol production-corn price and ethanol production-beef price whereas there is the asymmetric relationship between prices of corn and beef. Employing the threshold vector error correction and vector error correction models, we also find that the corn price in the U.S is caused by both ethanol production and beef price in a long-run when the beef price is relatively high. On the other hand, the corn price does not cause both ethanol production and beef price in the long run. Findings from this study imply that demanders for corn such as ethanol and beef producers have price leadership on corn producers.

Relationships between Urbanization, Economic Growth, Energy Consumption, and CO2 Emissions: Empirical Evidence from Indonesia

  • BASHIR, Abdul;SUSETYO, Didik;SUHEL, Suhel;AZWARDI, Azwardi
    • The Journal of Asian Finance, Economics and Business
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    • 제8권3호
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    • pp.79-90
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    • 2021
  • This study aims to investigate the relationship between urbanization, economic growth, energy consumption, and CO2 emissions in Indonesia. The data used in the study are time-series data for the period 1985-2017; the data utilized are sourced from World Development Indicators obtained on the World Bank database. The method uses a quantitative approach that applies the vector error correction model based on the Granger causality test. The empirical results reveal that, in the short run, there is evidence that urbanization and energy consumption can causes CO2 emissions, and they also prove that urbanization can cause energy consumption. Also, other findings prove the existence of long-run relationships flowing from energy consumption, economic growth, and CO2 emissions toward urbanization, as well as the existence of the relationship flowing from urbanization, economic growth, and CO2 emissions towards energy consumption. The results of testing the relationship between economic growth and CO2 emissions reveal that the environmental Kuznets curve hypothesis is proven in Indonesia. Thus, policies are needed to limit the impact of urbanization through high awareness-raising to maintain environmental quality and greater use of energy. Also, energy conservation policies are needed in all sectors, especially the electricity, industry, and transportation sectors.

Application of AC superimposed DC waveforms to bismuth electrorefining

  • Greg Chipman;Bryant Johnson;Devin Rappleye
    • Nuclear Engineering and Technology
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    • 제56권4호
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    • pp.1339-1346
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    • 2024
  • Electrorefining in molten salts is used for purifying actinides. Optimizing electrorefining is key to minimizing processing time and radiological waste. One possible way of improving electrorefining efficiency is using an AC superimposed DC waveform. This waveform has demonstrated potential benefits in aqueous solutions but has never been utilized in a molten metal, molten salt application. This work investigates the effects of using an AC superimposed DC waveform on molten bismuth electrorefining in a molten LiCl-KCl-CaCl2 eutectic. Bismuth has been identified as a potential surrogate for plutonium electrorefining and a potential cathode in electrorefining used nuclear fuel (UNF). All electrorefining runs resulted in a high purity cathode ring and high yield with exception of the run using a low-frequency, high-amplitude superimposed AC waveform, which experienced some contamination and a lower yield. The other three AC superimposed DC runs experienced an average yield 6.7 % higher than the average yield of the DC runs. The electrorefining run using the high-frequency, high-amplitude superimposed AC signal had the highest yield. It is recommended in future studies to investigate the statistical variability of electrorefining yield and current efficiency and the impact of AC superimposed DC waveforms on solidified bismuth anodes.

도시규모 중·장기 대기질영향평가를 위한 종관기상조건의 분류 (Classification of Synoptic Meteorological Conditions for the Medium or Long Term Atmospheric Environmental Assessment in Urban Scale)

  • 김철희;손혜영;김지아
    • 환경영향평가
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    • 제16권2호
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    • pp.157-168
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    • 2007
  • In case there is a need to run the multi-year urban scale air qulaity model, it is a difficult task due to the computational demand, requiring the statistical approach for the long time atmospheric environmental assessment. In an effort to approach toward long term urban assessment, the sixteen synoptic meteorological conditions are statistically classified from the estimated geostrophic wind speeds and directions of 850 hPa geopotential height field during 2000 ~ 2005. The geostrophic wind directions are subdivided into four even intervals (north, east, south, and west), geostrophic wind speeds into two classes(${\leq}5m/s$ and >5m/s), and daily mean cloud amount into 2 classes(${\leq}5/10$ and >5/10), which result into sixteen classes of the synoptic meteorological cases for each season. The frequency distributions for each 16 synoptic meteorological case are examined and some discussions on how these synoptic classifications can be used in the environmental assessment are presented.

기후변화의 위험이 시중은행과 손해보험에 장기적으로 미치는 영향 (Climate Change-Induced Physical Risks' Impact on Korean Commercial Banks and Property Insurance Companies in the Long Run)

  • 김세완
    • 대기
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    • 제34권2호
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    • pp.107-121
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    • 2024
  • In this study, we empirically analyzed the impact of physical risks due to climate change on the soundness and operational performance of the financial industry by combining economics and climatology. Particularly, unlike previous studies, we employed the Seasonal-Trend decomposition using LOESS (STL) method to extract trends of climate-related risk variables and economic-financial variables, conducting a two-stage empirical analysis. In the first stage estimation, we found that the delinquency rate and the Bank for International Settlement (BIS) ratio of commercial banks have significant negative effects on the damage caused by natural disasters, frequency of heavy rainfall, average temperature, and number of typhoons. On the other hand, for insurance companies, the damage from natural disasters, frequency of heavy rainfall, frequency of heavy snowfall, and annual average temperature have significant negative effects on return on assets (ROA) and the risk-based capital ratio (RBC). In the second stage estimation, based on the first stage results, we predicted the soundness and operational performance indicators of commercial banks and insurance companies until 2035. According to the forecast results, the delinquency rate of commercial banks is expected to increase steadily until 2035 under assumption that recent years' trend continues until 2035. It indicates that banks' managerial risk can be seriously worsened from climate change. Also the BIS ratio is expected to decrease which also indicates weakening safety buffer against climate risks over time. Additionally, the ROA of insurance companies is expected to decrease, followed by an increase in the RBC, and then a subsequent decrease.

재고-신규주택 상대가격이 주택공급에 미치는 영향 (The Impact of Stock-to-Flow Price Ratio on Housing Starts)

  • 지규현;최성호
    • 토지주택연구
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    • 제11권1호
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    • pp.59-66
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    • 2020
  • This thesis investigates relationship between Stock-to-Flow price and housing starts in Seoul metropolitan form 2008 year to 2019 year. The paper tests the relationship through two time-series models such as a vector error correction model and Dynamic Panel regression model. The model results show evidence of positive correlation between Stock-to-Flow price and housing starts in the long run. By transforming the regional data into a panel data set and running a fixed effects model, we test the explanatory power of PBR on housing starts. The result of VECM confirms that one unit uprising PBR raises up apartment construction by 7.4%. This result supports that PBR is a major factor in choosing a start of housing construct. Base on the result of empirical model, We also suggest that the market self-regulation function of housing providers is operating in the entire metropolitan area market.

Information and Communications Technology, Economic Growth, and Carbon Emission Levels: The Case of South Korea

  • Lee, Jung-wan;Unger, Barry
    • 유통과학연구
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    • 제10권6호
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    • pp.7-15
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    • 2012
  • The paper deals with the impact of information and communications technology on carbon emissions and economic growth in South Korea. The quarterly time series data from the first quarter of 1970 to the third quarter of 2010 (163 observations) are collected and retrieved from the Bank of Korea database. The paper examines long-run equilibrium relationships using cointegration techniques and Granger causality with vector error correction models. In directional causality tests, information and communications technology shows highly significant positive effects on economic growth and marginal effect on carbon emissions. Carbon emissions and economic growth exhibit an inverse relationship with each other; that is, carbon emissions have an inverse relation to economic growth and economic growth does not significantly affect carbon emissions in South Korea. We also note possible implications regarding growth policies and the information communications technology and "green" technology sectors for economies in the range represented by Korea's 1970 - 2010 data.

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자산가격의 결정요인에 대한 실증분석 : 미국사례를 중심으로 (A Study on Determinants of Asset Price : Focused on USA)

  • 박형규;정동빈
    • 산경연구논집
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    • 제9권5호
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    • pp.63-72
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    • 2018
  • Purpose - This work analyzes, in detail, the specification of vector error correction model (VECM) and thus examines the relationships and impact among seven economic variables for USA - balance on current account (BCA), index of stock (STOCK), gross domestic product (GDP), housing price indices (HOUSING), a measure of the money supply that includes total currency as well as large time deposits, institutional money market funds, short-term repurchase agreements and other larger liquid assets (M3), real rate of interest (IR_REAL) and household credits (LOAN). In particular, we search for the main explanatory variables that have an effect on stock and real estate market, respectively and investigate the causal and dynamic associations between them. Research design, data, and methodology - We perform the time series vector error correction model to infer the dynamic relationships among seven variables above. This work employs the conventional augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root techniques to test for stationarity among seven variables under consideration, and Johansen cointegration test to specify the order or the number of cointegration relationship. Granger causality test is exploited to inspect for causal relationship and, at the same time, impulse response function and variance decomposition analysis are checked for both short-run and long-run association among the seven variables by EViews 9.0. The underlying model was analyzed by using 108 realizations from Q1 1990 to Q4 2016 for USA. Results - The results show that all the seven variables for USA have one unit root and they are cointegrated with at most five and three cointegrating equation for USA. The vector error correction model expresses a long-run relationship among variables. Both IR_REAL and M3 may influence real estate market, and GDP does stock market in USA. On the other hand, GDP, IR_REAL, M3, STOCK and LOAN may be considered as causal factors to affect real estate market. Conclusions - The findings indicate that both stock market and real estate market can be modelled as vector error correction specification for USA. In addition, we can detect causal relationships among variables and compare dynamic differences between countries in terms of stock market and real estate market.

Spillover Effects of Foreign Direct Investment Inflows and Exchange Rates on the Banking Industry in China

  • Lee, Jung Wan;Wang, Zhen
    • The Journal of Asian Finance, Economics and Business
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    • 제5권2호
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    • pp.15-24
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    • 2018
  • The study examines the magnitude of economic spillover and the impact of foreign direct investment (FDI) inflows on the efficiency of the bank industry in China. This study employs unit root tests, cointegration tests and cointegrating regression analysis, including fully modified ordinary least squares (FMOLS), canonical cointegrating regression (CCR) and dynamic OLS (DOLS) to test the proposed hypotheses. The sample is restricted to the period of time in which monthly data is available and comparable among variables for the period from January 2002 to October 2013 (142 observations). All of the time series data was collected and retrieved from the People's Bank of China, China Monthly Statistics from the National Bureau of Statistics of China, and International Financial Statistics database from International Monetary Fund. The results of the Johansen cointegration test suggest that there is a long-run equilibrium relationship between FDI inflows, foreign exchange rate and banks performance in China. The results of cointegrating regression analysis using FMOLS, CCR and DOLS suggest that M2 supply and FDI inflows are significant at the 0.01 level. The results confirm that FDI inflows in the banking sector are positively related to the increase of banks productivity and performance and short-term loans in China. However, the results suggest that Chinese Yuan currency exchange rate to U.S. dollar is not significant in the banking and financial industry of China.

시계열 자료를 이용한 도시가스의 수요함수 추정 (Estimation of city gas demand function using time series data)

  • 이승재;어승섭;유승훈
    • 에너지공학
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    • 제22권4호
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    • pp.370-375
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    • 2013
  • 본 연구에서는 1981년부터 2012년까지의 시계열 자료를 이용하여 도시가스의 수요함수를 추정하고자 한다. 도시가스의 수요함수는 수용가의 도시가스 수요행태에 대한 정보를 제공하여 가격과 같은 주요 정책변수의 효과를 사전적으로 진단하는 데, 그리고 수요예측을 하는 데 유용하게 활용된다. 시계열 데이터를 효과적으로 활용하기 위하여 내생시차변수 모형을 활용하였고, 수요함수의 모수에 대한 강건한 추정치를 얻기 위해 최소자승법 추정법을 사용하였다. 단기 가격탄력성 및 소득탄력성은 각각 -0.522 및 0.874로 추정되었으며 유의수준 1%에서 통계적으로 유의하였다. 단기 가격탄력성은 가격에 비탄력적인 도시가스수요의 특징을 보여주고 있으며, 단기 소득탄력성 역시 비탄력적으로 추정되어 소득 증감에 따라 도시가스의 수요가 크게 변화지 않음을 알 수 있다. 반면, 장기 가격탄력성 및 소득탄력성은 각각 -2.155 및 3.607로 나타나 탄력적임을 알 수 있다.