• Title/Summary/Keyword: Price concern

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Carbon Emission Analysis Considering Demand Response Effect in TOU Program (TOU 프로그램의 DR 효과를 고려한 탄소 배출 분석)

  • Kim, Young-Hyun;Kwag, Hyung-Geun;Kim, Jin-O
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.6
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    • pp.1091-1096
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    • 2011
  • Currently, the concern about the environment is the issue all over the world, and in particular, carbon emissions of the power plants will not be able to disregard from the respect of generation cost. This paper proposes DR (demand response) as a method of reducing carbon emissions and therefore, carbon emissions cost. There are a number of studies considering DR, and in this paper, the effect of DR is focused on the side of carbon emission reduction effect considering Time-Of-Use (TOU) program, which is one of the most important economic methods in DSM. Demand-price elasticity matrix is used in this paper to model and analyze DR effect. Carbon emissions is calculated by using the carbon emission coefficient provided by IPCC (Intergovernmental Panel on Climate Change), and generator's input-output characteristic coefficients are also used to estimate carbon emission cost as well as the amount of carbon emissions. Case study is conducted on the RBTS IEEE with six buses. For the TOU program, it is assumed that parameters of time period partition consist of three time periods (peak, flat, off-peak time period).

Water Quality Improvement Characteristics in Fallow Paddy by the Shallow Pool and Shallows (휴경지의 웅덩이와 여울에 의한 수질정화특성)

  • Kim, Sun-Joo;Kim, Hyung-Jung;Kim, Phil-Shik;Jee, Yong-Geun;Yang, Yong-Seok
    • Journal of The Korean Society of Agricultural Engineers
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    • v.48 no.3
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    • pp.35-45
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    • 2006
  • Fallow paddy areas have been increased due to the import of cheap agricultural product, and the unbalance between farming cost and rice price since 1990. In domestic, rice production control that decrease paddy field area has been introduced for the control of rice demand and supply and stabilization of rice price since 2003. Because of the desire of paddy field's owner to create benefit by using paddy for other object, fallow paddy would be continuously increased. In the other aspect, many people in the world is suffering from hunger because of the shortage of food. In case of Korea, continuous drought and flood damages will be potential concern of stable food supply. From this viewpoint, the increasing fallow paddy area needs to be protected from the devastation by weed breeding for the re-cultivation. In this study, fallow paddy managed with the shallow pools and shallows was selected fur monitoring and analyzing of water quality and plant body change. As the results, the managed fallow paddy found to be effective in the purification of water quality and the control of plant growth.

BIM-BASED TIME SERIES COST MODEL FOR BUILDING PROJECTS: FOCUSING ON MATERIAL PRICES

  • Sungjoo Hwang;Moonseo Park;Hyun-Soo Lee;Hyunsoo Kim
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.1-6
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    • 2011
  • As large-scale building projects have recently increased for the residential, commercial and office facilities, construction costs for these projects have become a matter of great concern, due to their significant construction cost implications, as well as unpredictable market conditions and fluctuations in the rate of inflation during the projects' long-term construction periods. In particular, recent volatile fluctuations of construction material prices fueled such problems as cost forecasting. This research develops a time series model using the Box-Jenkins approach and material price time series data in Korea in order to forecast trends in the unit prices of required materials. Building information modeling (BIM) approaches are also used to analyze injection times of construction resources and to conduct quantity take-off so that total material prices can be forecast. To determine an optimal time series model for forecasting price trends, comparative analysis of predictability of tentative autoregressive integrated moving average (ARIMA) models is conducted. The proposed BIM-based time series forecasting model can help to deal with sudden changes in economic conditions by estimating material prices that correspond to resource injection times.

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Empirical Analysis on Bitcoin Price Change by Consumer, Industry and Macro-Economy Variables (비트코인 가격 변화에 관한 실증분석: 소비자, 산업, 그리고 거시변수를 중심으로)

  • Lee, Junsik;Kim, Keon-Woo;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.24 no.2
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    • pp.195-220
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    • 2018
  • In this study, we conducted an empirical analysis of the factors that affect the change of Bitcoin Closing Price. Previous studies have focused on the security of the block chain system, the economic ripple effects caused by the cryptocurrency, legal implications and the acceptance to consumer about cryptocurrency. In various area, cryptocurrency was studied and many researcher and people including government, regardless of country, try to utilize cryptocurrency and applicate to its technology. Despite of rapid and dramatic change of cryptocurrencies' price and growth of its effects, empirical study of the factors affecting the price change of cryptocurrency was lack. There were only a few limited studies, business reports and short working paper. Therefore, it is necessary to determine what factors effect on the change of closing Bitcoin price. For analysis, hypotheses were constructed from three dimensions of consumer, industry, and macroeconomics for analysis, and time series data were collected for variables of each dimension. Consumer variables consist of search traffic of Bitcoin, search traffic of bitcoin ban, search traffic of ransomware and search traffic of war. Industry variables were composed GPU vendors' stock price and memory vendors' stock price. Macro-economy variables were contemplated such as U.S. dollar index futures, FOMC policy interest rates, WTI crude oil price. Using above variables, we did times series regression analysis to find relationship between those variables and change of Bitcoin Closing Price. Before the regression analysis to confirm the relationship between change of Bitcoin Closing Price and the other variables, we performed the Unit-root test to verifying the stationary of time series data to avoid spurious regression. Then, using a stationary data, we did the regression analysis. As a result of the analysis, we found that the change of Bitcoin Closing Price has negative effects with search traffic of 'Bitcoin Ban' and US dollar index futures, while change of GPU vendors' stock price and change of WTI crude oil price showed positive effects. In case of 'Bitcoin Ban', it is directly determining the maintenance or abolition of Bitcoin trade, that's why consumer reacted sensitively and effected on change of Bitcoin Closing Price. GPU is raw material of Bitcoin mining. Generally, increasing of companies' stock price means the growth of the sales of those companies' products and services. GPU's demands increases are indirectly reflected to the GPU vendors' stock price. Making an interpretation, a rise in prices of GPU has put a crimp on the mining of Bitcoin. Consequently, GPU vendors' stock price effects on change of Bitcoin Closing Price. And we confirmed U.S. dollar index futures moved in the opposite direction with change of Bitcoin Closing Price. It moved like Gold. Gold was considered as a safe asset to consumers and it means consumer think that Bitcoin is a safe asset. On the other hand, WTI oil price went Bitcoin Closing Price's way. It implies that Bitcoin are regarded to investment asset like raw materials market's product. The variables that were not significant in the analysis were search traffic of bitcoin, search traffic of ransomware, search traffic of war, memory vendor's stock price, FOMC policy interest rates. In search traffic of bitcoin, we judged that interest in Bitcoin did not lead to purchase of Bitcoin. It means search traffic of Bitcoin didn't reflect all of Bitcoin's demand. So, it implies there are some factors that regulate and mediate the Bitcoin purchase. In search traffic of ransomware, it is hard to say concern of ransomware determined the whole Bitcoin demand. Because only a few people damaged by ransomware and the percentage of hackers requiring Bitcoins was low. Also, its information security problem is events not continuous issues. Search traffic of war was not significant. Like stock market, generally it has negative in relation to war, but exceptional case like Gulf war, it moves stakeholders' profits and environment. We think that this is the same case. In memory vendor stock price, this is because memory vendors' flagship products were not VRAM which is essential for Bitcoin supply. In FOMC policy interest rates, when the interest rate is low, the surplus capital is invested in securities such as stocks. But Bitcoin' price fluctuation was large so it is not recognized as an attractive commodity to the consumers. In addition, unlike the stock market, Bitcoin doesn't have any safety policy such as Circuit breakers and Sidecar. Through this study, we verified what factors effect on change of Bitcoin Closing Price, and interpreted why such change happened. In addition, establishing the characteristics of Bitcoin as a safe asset and investment asset, we provide a guide how consumer, financial institution and government organization approach to the cryptocurrency. Moreover, corroborating the factors affecting change of Bitcoin Closing Price, researcher will get some clue and qualification which factors have to be considered in hereafter cryptocurrency study.

The Perception and Utilization of Korean Traditional Food and Fast Food of Elementary School Children in Ansan Area (한국전통음식과 패스트푸드에 대한 안산지역 초등 고학년 학생의 인식 및 이용실태)

  • Lee, Mi-Young;Kim, Young-A
    • Journal of the Korean Home Economics Association
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    • v.44 no.10
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    • pp.109-120
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    • 2006
  • This study was conducted to provide basic data for desirable food culture by surveying the perception and utilization of Korean traditional food and fast-food from 6th grade elementary school students in the Ansan region. According to the survey, elementary school students have insufficient perception about Korean traditional food but they understand fast-food relatively well. The key factor for their concern in Korean traditional food was the mass media, while the variety of tastes and quickness were key factors of fast-food. Among the respondents, 76.0% chose Korean traditional food as more nutritious than fast-food. From the investigation of their diet situation, daily meals came out as Korean traditional food, while fast-food covered snacks and nighttime meals. Normally, just following their parents' selection was the biggest reason for going to Korean traditional food restaurants. They chose fast-food restaurants because the price is proper and they can use that place for their conversation. Among Korean traditional foods, their favorite was "Gal-bi-zim" (beef ribs stew), and among fast-food, they liked hamburger and pizza. Over 90% of male and female students ate fast-food within 30 minutes, which was less than Korean traditional food. Generally, Korean traditional food was relatively more expensive than fast food. Respondents usually went to Korean traditional food restaurants with their parents and family members, whereas they went to fast food restaurants mostly with their friends. Positive factors of Korean traditional food, in order of satisfaction, were taste, hygiene, price, and quickness, while those of fast-food, in the same order, weretaste, price, quickness, and hygiene.

Situations of GAP certified ginseng and 4P's strategies (GAP 인증인삼 현황과 4P 전략)

  • Hong, Seung-Jee;Kim, Kwan-Hoo
    • Korean Journal of Agricultural Science
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    • v.38 no.2
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    • pp.369-381
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    • 2011
  • Ginseng in Korea has not only the big production value but also till a good reputation from overseas in the name of 'Korea Ginseng'. Having spread rapidly nationwide from 2000 year, its production keeps on increasing but its consumption becomes lazy and its price is also falling down because of comsumer's concern about mainly overusing pesticide for ginseng. In order to cope with this problem, the government introduced the GAP certification system to ginseng in 2006 to reflect consumer's needs for food safety. This system will be a good opportunity to promote ginseng consumption dramatically. In this aspect it is very important to know how well this system is established and how ginseng farmers build marketing strategies to draw new wind in the market. This study was carried out to look over the GAP certified ginseng system and show its marketing strategies using 4P's(product, place, promotion and price). The main results are as follows. GAP ginseng system currently has some weaknesses such as lack of systematic certification management and after-service, nonrealistic certification fee and poor linkage from production to consumption. In the marketing mix strategies, product strategy suggests that the most desirable appearance be transplanted ginseng filled with branch roots and 4 to 5 year-ginseng, and it is necessary to choose multi-brand strategy divided for present into for self-sufficiency and family brand strategy by use if its brand enlarges to processed products in the future. In the place strategy, 3 stages like 'producer group' - 'GAP certified facility' - 'sales shop' are based as the physical marketing channel according to traceability, and connected with giant retail market and environment friendly stand, and if its sales volume enlarges, it should be considered the GAP ginseng specialized marketplace which is a type of chain store. In the promotion strategy, the promotion of government level is necessary at first and producer alliances require the promotion targeting at the group of women under 40 with differentiation from price, quality, and safety. In the price strategy, the early stage-high price strategy which sets 20~25% higher for self-sufficiency and 30~35% for present is desirable.

An Analysis on Determinants that Affect the Sale Price of an Office Building in Seoul after Focusing on Strata Property Sales (서울 오피스 빌딩 매매가격 결정요인 분석 : 부분매매를 중심으로)

  • Yu, Myeong Han;Lee, Chang Moo
    • Korea Real Estate Review
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    • v.28 no.2
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    • pp.7-20
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    • 2018
  • This paper has statistically analyzed the determining factors that affect office building sale prices by focusing on strata property sales through the hedonic price function. In this study, 1,171 office building transaction cases were analyzed in Seoul from 2000 to 2017. To determine the influence of various factors on office building sale prices, independent variables included factors that represented macroeconomic characteristics, locational characteristics, physical characteristics, and deal characteristics. The analysis of the strata property sales, which is a major concern in this study, showed that strata property sales enjoyed a discount of about 1.56 million won per pyeong out of the entire sales. In terms of the discount rate, strata property sales were at a 12.6% discount compared to entire property sales, so it was found that strata property sales significantly influenced office building selling price. This is due to the fact that the owner of the strata property encounters more difficulties in distributing cost than the sole proprietor in terms of property rights and the exercise of management rights. The results of this study are expected to contribute in securing transparency in transactions and risk management strategies in the future.

A Study on the Support Priority Determination through Horizontal Comparison Analyses of NRE Technologies by Resource Types (신재생에너지원별 특성의 수평적 비교분석을 통한 지원 우선순위 선정에 관한 연구)

  • Won, Jong-Ryul;Hwang, Sung-Wook;Kim, Jung-Hoon
    • Proceedings of the KIEE Conference
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    • 2007.11b
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    • pp.308-310
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    • 2007
  • Nowadays the concern about development and diffusion strategies of new & renewable energy (NRE) and its technologies are getting higher globally as Kyoto Protocol has taken effect this year and oil has been rising in price tremendously. Developed countries have already commenced the study and research for this problem and are looking for various solutions. In this paper, the support Priority of NRE technologies are determined by horizontal comparison analyses.

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A Study on the Exhaust Emission of LPG and Gasoline Vehicle (LPG와 가솔린 연료의 차량 배출가스 특성에 대한 비교 연구)

  • 정성환;한상명
    • Transactions of the Korean Society of Automotive Engineers
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    • v.10 no.5
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    • pp.23-28
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    • 2002
  • As the interest on the air pollution is gradually rising up at home and abroad, automotive industries have been working on the exhaust emission reduction from vehicles through a lot of approaches, which consist of new engine design, innovative aftertreatment systems, and using clean fuels. Methanol, ethanol, LNG, LPG, H2, reformulated gasoline are generally recognized as the clean fuel. Since the low price policy of government on LPG has expanded its vehicle market recently, there is concern of the exhaust emission of LPG vehicle. In this paper, we studied the value of LPG fuel as a clean fuel by comparing the results of the exhaust emission from LPG and Gasoline fueled vehicles, and discussed its limitation of LPG vehicle with mixer type as a fuel supply system. FTIR was used to understand the difference of exhaust emission components of LPG and Gasoline fueled vehicles.

The Fabric Knowledge and the Selection Criteria & Fabric Impact on Clothing Purchase of University Students (대학생의 의류소재 인지도 및 의복구매시 선택기준과 소재의 영향)

  • Choi, Jong-Myoung
    • Korean Journal of Human Ecology
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    • v.13 no.6
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    • pp.935-941
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    • 2004
  • The purpose of this study is to survey fabric knowledge about apparel products, and to identify not only clothing purchase criteria but the impact of fabrics on the decision-making process in clothing purchase. The 234 questionnaires were distributed to university students(120 males, 114 females), and were analyzed by frequencies, t-test, $x^{2}$ and ANOVA. The results are as follows: 1) The students had apparel fabrics knowledge above the average, and there were partially significant differences in the knowledge by genders. 2) They put a higher priority, in purchasing apparel products, on factors such as design, size, color, fabric, and price of clothing than those including ease of care, sewing, and fashion trend. 3) The consideration of fabrics influenced a post-purchase process. 4) Male students showed less concern, except information search process, with the fabric than females in the decision-making process for clothing purchase.

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