• Title/Summary/Keyword: Trading Units

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Suggestion of a Decision Support System for Implementing the Water Quality Trading Policy to Developing Urban Areas (개발예정 도시의 수질교환법 적용을 위한 정책결정 시스템 제시)

  • Shin, Yee-sook
    • Ecology and Resilient Infrastructure
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    • v.3 no.1
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    • pp.54-61
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    • 2016
  • There are many pilot programs and projects to implement the water quality trading (WQT) policy. But actual trading is relatively rare. The main reason of the scarce applications of WQT policy is the difficulty in determining the equalities between the trading sites. The uncertainty of the impacts of the nonpoint sources pollutant discharges between up and downstream urban development areas also makes the implementation of the policy harder. The simulated results from the watershed modeling program will be used to calculate the point and nonpoint sources pollutants of the future urban development scenarios. The amount of suspended sediments resulting from the urban developments and rainfall intensities will be used to indicate the environmental impacts of the water body between upstream and downstream. The water quality impacts after development scenarios to the outlet of the watershed were transferred to the trading units between two sites. The recommended trading units can be used as a decision support system for policy makers and stakeholders to carry out better WQT practices.

Analysis of Probabilities of Failure and Partial Safety Factors of Armor Units on Tranding and Coastal Harbors (무역항 및 연안항 피복재의 파괴확률과 부분안전계수 해석)

  • Lee, Cheol-Eung;Park, Dong-Heon
    • Journal of Industrial Technology
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    • v.28 no.B
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    • pp.157-165
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    • 2008
  • Level II AFDA and Level III MCS reliability models are applied to analyze the stability of armor units on trading and coastal harbors in Korea. Hudson's formula and Van der Meer's formula are used in this reliability analysis. Also, probability density functions of reliability index and probability of failure are derived by the additional analysis. In addition, the partial safety factors of all harbors related to armor units can be straightforwardly evaluated by the inverse-reliability method. The upper and lower limits and average level of partial safety factors can be statistically investigated with the results of all cases applied in this paper. Therefore, it may be possible to design armor units of new breakwaters including the uncertainty of random variable and target level by using the present results.

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Development of Trading Units between Land uses for Water Quality Trading Policy (미국의 수질 교환법 적용을 위한 토지이용 간 교환단위 연구)

  • Shin, Yee-Sook;Trauth, Kathleen M.
    • Proceedings of the Korea Water Resources Association Conference
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    • 2011.05a
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    • pp.99-99
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    • 2011
  • 최근에 미국에서 출범한 수질 교환 법은 수질기준을 혁신적인 접근방법으로 만족시키는 법이다. 이 법안은 수질기준을 초과하지 않는 조건에서 한 유역 안 다른 지점들의 점 오염과 비점오염 배출의 교환을 허용한다. 이 법안을 적용하기 위한 방법을 도출하기 위하여 많은 시험 프로그램을 운영하고 있지만 여전히 실제 교환은 상대적으로 적게 이루어지고 있다. 또한 하천내의 비 점오염량의 불확실성으로 인하여 교환 지점을 선정하고 적용하는 데에 큰 어려움이 있다. Hydrological Simulation Program-Fortran (HSPF)은 Soil and Water Assessement Tool (SWAT)과 함께 미국 하천 모델링에 많이 쓰이는 유역 모델로써 특히 HSPF는 각각의 토지 피복도의 퍼센트 투수량을 지정함으로써 도시지역의 유출량을 시뮬레이션 하는데 강점이 있다. 미국 중서부 미조리 주의 퍼시픽시를 포함하고 있는 Brush Creek 유역을 선택하여 퍼시픽시의 도시화 증가로 인한 Brush Creek 유역의 상류와 하류지역의 유출량 및 Sediment 변화를 예측하여 수질관리법을 적용하는 방법을 연구하였다. 이 연구의 특징은 원격탐사 이미지 (QuickBird)로 구현한 최근의 토지 이용을 미래의 도시지역으로 전환한 토지이용도를 사용함으로서 특정 유역을 가장 정확하게 이해하는 시뮬레이션을 가능하도록 한다는 점이다. 각각의 토지이용에서 도시화가 3가지의 강도를 가지고 진행된다는 시나리오를 이용하여 모델링을 하였고 이로 인해 계산된 유출량과 Sediment 양을 이용하여 각각의 토지이용 변화 별 수질 교환단위를 도출 하였다.

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A study on Living Culture of Korea through accounting records written by Song, Whasun at Hongcheon-Up in early 20th century (홍천읍 송화선(宋化善) 장기(掌記)를 통해 본 20세기 초 한국의 생활 문화 연구)

  • Cho, Imsun;Lee, Eunjin
    • Journal of Fashion Business
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    • v.21 no.1
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    • pp.148-165
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    • 2017
  • An assortment of daily supplies have been documented in and accounting book that Hwa-sun Song, a wholesale dealer in Hongcheon, Gangwon-do, sent to Young-hui Sin, a customer. This study analyzed a total of 163 documentations in the accounting book between 1910 to 1916, which includes types of daly supplies, trading volume, and prices, maintained accounting between. Consequently, we are able to indentify companies that produced the applicable goods, names of products, units by which goods were counted, and the lowest and highest prices prevailing, along with kinds of goods patronized in everyday life in Hongcheon in the early 20th century. Paper had the maximum trading volume. The second, most traded were cigarettes, a symbol of the new culture. These were traded under various brand names, such as Kkotpyo, Guksyu, Sanhopyo, Syonghak, and Joil. Foodstuffs, were the third most traded items, including fish, fruits, sugar, Waeddeok, Chilwaeddeok, Color candies and Okchyun candies. Our results indicate that the snack food business had developed since the 19th century. Lighting equipment, oil, candles, matches as well as traditional oil lamps and flints cornered the fourth largest stock being traded. Medications were fifth, with prescriptions written for Insohwan, Hoechyungsan and Siungo, including quinine, a medicine for malaria. Other trades included kitchen appliances such as soup bowls, porcelain bowls, kettles, and drinking cups, and a variety of daily supplies such as mirrors, mats, umbrellas, Geumjiwaemil, hair oil imported from Japan, and soap.

Analyzing the Potential of Offset Credits in the Korean Emission Trading Scheme Focusing on Clean Development Mechanism Projects (CDM사업을 대상으로 한 국내 온실가스 상쇄배출권의 잠재량 산정 및 정책 제언)

  • Kim, Woori;Son, Yowhan;Lee, Woo-Kyun;Cho, Yongsung
    • Journal of Climate Change Research
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    • v.9 no.4
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    • pp.453-460
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    • 2018
  • The purpose of this study is to analyze the potential quantity of Korean Offset Credits (KOC) resulting from Certified Emission Reductions (CER) in 98 domestic Clean Development Mechanism (CDM) projects that were registered with the United Nations Framework Convention on Climate Change (UNFCCC) as of the end of 2016. Our results show that the total amount of potential KOC is 62,774 kt CO2eq. The potential KOC is only 23.4% of the total CER Issuance. During the first phase, this will be 3.2% of the allocated volume. This is because many projects are related to Renewable Portfolio Standard (RPS), HFC-23, and adipic acid N2O. There is a strong bias in some sectors and projects which could act as market distortion factors. Therefore, it is necessary to expand the target CDM project and activate non CDM offset projects. RPS projects bring fundamental changes to the energy sector, and it is worth reconsidering their acceptability. A wide variety of policy incentives are needed to address strong biases toward certain sectors and projects. The offset scheme has the advantage of allowing entities to reduce their GHG emissions cost effectively through a market mechanism as well as enabling more entities to participate in GHG reduction efforts both directly and indirectly. In contrast, having an inadequate offset scheme range and size might decrease the effort on GHG reduction or concentrate available resources on specific projects. As such, it is of paramount importance to design and operate the offset scheme in such a way that it reflects the situation of the country.

Factors of Korea-China Product Trade According to GVC Changes: Focused on FTA

  • Kwak, Su-Young;Choi, Mun-Seong;Kim, Yong-Hwan;Lee, Do-Hyung
    • Journal of Korea Trade
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    • v.24 no.8
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    • pp.133-152
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    • 2020
  • Purpose - The purpose of this study is to analyze the determinants of commodity trade in Korea and China and to examine the implications of China's GVC shift from export to domestic market on its impact on Korea's trade. Design/methodology - This study selected 30 major trading partner countries. The dependent variable is the trade volume, and the independent variables are general economic factors such as gross domestic product (GDP), GDP per capita, distance, and FTA. Findings - The trade pattern of Korea's commodities shows that GDP has a positive relationship with trade, import, and export. Distance has a significant negative relationship with total trade, import, and export. FTA is significant for import but it is not significant for total trade and export. The trade pattern of China's commodities shows that GDP has a significant positive relationship with total trade, import, and export. Distance has a negative relationship with trade, import, and export. GDP per capita is not significant for total trade and import, but it is significant for export. FTA is significant for total trade and export, but it is not significant for import. Originality/value - Existing papers were studied mainly in certain industrial sectors such as agriculture, manufacturing, automobile industry and steel industry. This paper attempts to collects vast amounts of data about the 30 countries of Korea and China respectively and analyzes by Random Effect Model dividing the goods (0 to 9) in units of STIC (Rev. 4). The major contribution is that the decision factors affecting commodity trade can be analyzed in SITC units (0-9) to obtain analysis results that are subdivided by product group and organized by product.

A Study of the Efficiency of Futures Research Institutes of China

  • WU, Guo-Hua;YAO, Tian-Yin;ZHANG, Bao-Ping
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.555-564
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    • 2020
  • The purpose of this study is to analyze the efficiency of research institutes of futures companies, and to promote the development of futures market and real economy. This study employs DEA-solver software to conduct super-efficiency data envelopment analysis (SE-DEA), and also selects 40 representative futures research institutes in China as decision-making units (DMUs). For data of input and output indicators, we collect from the China Futures Association, Futures Daily, Hexun.com and Webstock.com respectively, and the time duration is the 103 trading days between from October 2019 to February 2020. Then the indicator for the strategy accuracy rate is calculated separately by analyzing the strategies published by each DMUs in public media. In conclusions, most institutes have excessive investment in human resources, and also have insufficient strategy accuracy rate and insufficient published research reports. The findings of this study suggest that Chinese futures companies need to improve the efficiency of research institutes, and better meet the demand of the financial market. In fact, the analysis of the efficiency of the futures company research institute has not been found in the literature worldwide, Application of DEA model in efficiency analysis of securities and futures research institutions and establishment of indicators are the innovations of this paper.

A study on the UI design and program development for integrated management of carbon data in city (도시 탄소데이터 통합관리를 위한 프로그램 설계 방안 및 UI 연구)

  • Park, Jun-Hyoung;Kim, Seong-Sik;Kim, Jong-Woo;Choi, Guei-Tai
    • Journal of the Korean Solar Energy Society
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    • v.33 no.2
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    • pp.108-117
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    • 2013
  • Studies on the regulation and measurement of greenhouse gases(GHGs) emissions have been carrying out for global wanning. In order to reduce greenhouse gas emissions, many countries have been promoting the Emissions Trading System and projects of the Joint Implementation(JI) and Clean Development Mechanism(CDM). These country's GHG emissions have been measured calculation criteria based on the Intergovernmental Panel on Climate Change(IPCC) Guidelines. In order to respond to GHGs regulation, in each country, it is planing to build a Low-Carbon City. The system has been developed for calculating GHGs emissions from companies and institutions in their respective countries. However, the system can monitor the GHGs per city, has not been developed. In this paper, it is studied to design the User Interface and to develop integrated monitoring program for Low-carbon city. This program will make possible monitoring and management, statistics, and reports written by using each data in units of cities.

The Method of Quantitative Analysis Based on Big Data Analysis for Explanatory Variables Containing Uncertainty of Energy Consumption in Residential Buildings - Focused on Apartment in Seoul Korea (주거용 건물의 에너지 실사용량의 불확실성을 내포한 설명변수 인자에 대한 빅데이터 분석 기반의 정량화 방법 - 서울지역의 공동주택을 중심으로)

  • Choi, Jun-Woo;Ahn, Seung-Ho;Park, Byung-Hee;Ko, Jung-Lim;Shin, Jee-Woong
    • KIEAE Journal
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    • v.17 no.3
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    • pp.75-81
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    • 2017
  • Purpose: The energy consumption of apartment units is affected by the lifestyle of the residents rather than system technology. In this study the numerical analysis of assumed energy consumption correlation factors with arbitrary value due to uncertainty. It is intended to be used as a simulation correction value which can be utilized as a predicted value of actual energy usage. The correction value of the simulation is set in the developed form of the existing process that derives the actual usage amount. The simulation results used in the existing evaluation system are used to maintain the useful value as the current system evaluation scale and predict the actual capacity. Method: The method of the study is to statistically analyze the data frames of all complexes capable of collecting the annual energy usage and to reconstruct the population by adding the variables that are expected to be correlated. Repeat the data frame configuration with variables that are assumed to be highly correlated with energy use levels. Determine whether there is correlation or not. The intensity of the external characteristics of the building equipment related to the energy consumption is presented as the quantitative value. Result: The correlation between electricity consumption and trading price since 2010 is analyzed as (Correlation coefficient 0.82). These results are higher than (Correlation coefficient 0.79), which is the correlation between residential area and trading price. This paper signifies the starting point of the methodology that broadens the field of view of verification of simulation feasibility limited to the prediction technique focused on the simulation tool and the element technology scope.The diversified phenomenon reproduction method develops the existing energy simulation method.It can be completed with a simulation methodology that can infer actual energy consumption.

Efficiency Analysis of Ocean Shipping Lines Using Non Radial DEA Model (비방사적 DEA 모형을 활용한 외항해운기업의 경영효율성 분석에 관한 연구)

  • Lee, Tae-Hwee;Yeo, Gi-Tae
    • Journal of Korea Port Economic Association
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    • v.31 no.1
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    • pp.37-49
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    • 2015
  • According to outstanding maritime economists from domestic and overseas, shipping lines or ships' enlargement reduce fixed costs, and assist realization of scale of economy of shipping. On the contrary, recent Korean liquidity crisis on the shipping lines (SL) has been focused on the leading companies such as Hanjin Shipping (HJS), Korealines, and STX Pan Ocean. In this respect, this study aims to review Korean SLs' strategies and suggest the optimal solution between the specialization and enlargement. For these purposes, this research adopts slack based measure data envelopment analysis (SBM-DEA) model as a research methodology. As for decision making units (DMUs), SLs which have increased the vessel numbers and belonged to top tier group in year 2013, are selected. The results are comprised with two aspects. Firstly, HJS, KMTC, Korea LNG Trading (KLT), EUKOR, and Sinokor Tanker show the most efficient in regard to constant return to scale (CRS) model. Secondly, HJS, KMTC, KLT, Daerim, Chungang, Sinnokor Tanker, and EUKOR are the most efficient companies in terms of variable return to scale (VRS) model. Lastly, these results could be affected to the management philosophy and can answer the following question. Which is the most optimized SL?s management decision making, enlargement or specialization?