• Title/Summary/Keyword: Price elasticity

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Empirical Analysis on the Effects of Input Factor Prices on the Export Performance in Korean Manufacturing Industries (생산요소가격 변동과 제조산업의 수출성과에 관한 실증연구)

  • Kang, Joo Hoon
    • International Area Studies Review
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    • v.21 no.4
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    • pp.3-17
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    • 2017
  • The purpose of the paper is to suggest the empirical evidences for the effects of factor prices on the export performance in the Korean manufacturing industries during the period 1975:1-2016:4. The paper is to set up the error correction model derived from the autoregressive distributed lag scheme and to estimate the factor price elasticities of export in the 8 manufacturing industries. The real wage, interest and import price index elasticities of export all were estimated to be statistically significant at 1% level in the most industries with showing negative signs as expected. And the real wage elasticity proved to likely be smaller as the industries become more capital-intensive while the import price index elasticity tended to become larger in industries with larger ratio of imported intermediate goods to output. The empirical results suggest that the declines in input factor prices since the foreign exchange crisis in the end of 1997 have positive effects on the export performance in the Korean manufacturing industries.

An Empirical Study on Asymmetric Price Transmissions in the Distribution Channels of Fisheries Market (수산물 시장의 유통단계별 가격전달의 비대칭성에 관한 실증 분석)

  • Lee, Jung-Mi;Kim, Ki-Soo
    • The Journal of Fisheries Business Administration
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    • v.41 no.3
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    • pp.59-78
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    • 2010
  • This paper tries to apply the asymmetrical price transmission(APT) behavior observed in the agricultural industry to supply chains of the domestic fishery industry by a statistical manner. The fore mentioned asymmetrical price transmission refers to when price movements in the later stage of the supply chain do not move in a normal or symmetrical manner corresponding to price movements in the earlier stage of the supply chain. Therefore, when the earlier stage price increase and the later stage price increases to a larger degree, it is called positive(+) asymmetry and the opposite behavior is called negative(-) asymmetry. The study examines the data from domestic producers of three fresh fish types, hairtail, mackerel, and cuttlefish, and tries to examine the price asymmetry between the producer or farm, wholesaler, and retail prices via an APT test utilizing unit root, cointegration, and error correction model. The study found, hairtail wholesale and retail pricing bas a negative asymmetric relationship while mackerel has a negative asymmetric pricing relationship at the producer and retail levels of the supply chain. In the case of cuttlefish, all levels of the supply chain showed negative asymmetrical behavior in the supply chain price transmission, meaning the earlier stage price changes are more rapidly and greatly inputted in the later stage of the supply chain pricing. We believe that the reason why the analysis results show negative price asymmetry is due to the uniqueness of fishery products having an important variable such as freshness. If price increases are greater and quicker than price decreases, then consumer demand, which is sensitive to price increases will decrease and subsequently result in the increase of inventory levels, reducing profits for retailers. Also, frozen hairtail, mackerel, and cuttlefish will act as substitute goods to fresh fishery products. Therefore, fresh fishery products have a high demand of price elasticity. When prices increase, demand quickly decreases. Therefore the profit of wholesalers and retailers to decrease, I think this is the main reason of APT in the supply chain of Korea' s fisheries industry.

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

  • Lee, Seung-Jae;Euh, Seung-Seob;Yoo, Seung-Hoon
    • Journal of Energy Engineering
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    • v.22 no.4
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    • pp.370-375
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    • 2013
  • This paper attempts to estimate the city gas demand function in Korea over the period 1981-2012. As the city gas demand function provides us information on the pattern of consumer's city gas consumption, it can be usefully utilized in predicting the impact of policy variables such as city gas price and forecasting the demand for city gas. We apply lagged dependent variable model and ordinary least square method as a robust approach to estimating the parameters of the city gas demand function. The results show that short-run price and income elasticities of the city gas demand are estimated to be -0.522 and 0.874, respectively. They are statistically significant at the 1% level. The short-run price and income elasticities portray that demand for city gas is price- and income-inelastic. This implies that the city gas is indispensable goods to human-being's life, thus the city gas demand would not be promptly adjusted to responding to price and/or income change. However, long-run price and income elasticities reveal that the demand for city gas is price- and income-elastic in the long-run.

Estimation of the electricity demand function using a lagged dependent variable model (내생시차변수모형을 이용한 전력수요함수 추정)

  • Ahn, So-Yeon;Jin, Se-Jun;Yoo, Seung-Hoon
    • Journal of Energy Engineering
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    • v.25 no.2
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    • pp.37-44
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    • 2016
  • The demand for electricity has a considerable impact on various energy sectors since electricity is generated from various energy sources. This paper attempts to estimate the electricity demand function and obtain some quantitative information on price and income elasticities of the demand. To this end, we apply a lagged dependent variable model to derive long-run as well as short-run elasticities using the time-series data over the period 1991-2014. Our dependent variable is annual electricity demand. The independent variables include constant term, real price of electricity, and real gross domestic product. The results show that the short-run price and income elasticities of the electricity demand are estimated to be -0.142 and 0.866, respectively. They are statistically significant at the 5% level. That is, the electricity demand is in-elastic with respect to price and income changes in the short-run. The long-run price and income elasticities of the electricity demand are calculated to be -0.210 and 1.287, respectively, which are also statistically meaningful at the 5% level. The electricity demand is still in-elastic with regard to price change in the long-run. However, the electricity demand is elastic regarding income change in the long-run. Therefore, this indicates that the effect of demand-side management policy through price-control is restrictive in both the short- and long-run. The growth in electricity demand following income growth is expected to be more remarkable in the long-run than in the short-run.

Estimation of kerosene demand function using time series data (시계열 자료를 이용한 등유수요함수 추정)

  • Jeong, Dong-Won;Hwang, Byoung-Soh;Yoo, Seung-Hoon
    • Journal of Energy Engineering
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    • v.22 no.3
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    • pp.245-249
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    • 2013
  • This paper attempts to estimate the kerosene demand function in Korea over the period 1981-2012. As the kerosene demand function provides us information on the pattern of consumer's kerosene consumption, it can be usefully utilized in predicting the impact of policy variables such as kerosene price and forecasting the demand for kerosene. We apply least absolute deviations and least median squares estimation methods as a robust approach to estimating the parameters of the kerosene demand function. The results show that short-run price and income elasticities of the kerosene demand are estimated to be -0.468 and 0.409, respectively. They are statisitically significant at the 1% level. The short-run price and income elasticities portray that demand for kerosene is price- and income-inelastic. This implies that the kerosene is indispensable goods to human-being's life, thus the kerosene demand would not be promptly adjusted to responding to price and/or income change. However, long-run price and income elasticities reveal that the demand for kerosene is price- and income-elastic in the long-run.

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).

An Analysis of the R&D Investment Efficiency in Power Industry (전력산업의 연구개발투자 효율성 분석)

  • 강희정;조용현;최기련
    • Journal of Energy Engineering
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    • v.6 no.2
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    • pp.145-151
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    • 1997
  • The R&D investment of power industry has significant influences on the social welfare as well as national economy. It is necessary to analyze how efficient the R&D investment has been performed. The objective of this study is to verify the efficiency of the R&D investment in the domestic power industry. A formula was introduced to by calculate the appropriate amount of R&D investment of monopolistic industry under the regulations which are determined by the proportion of R&D elasticity and price elasticity. It has resulted that there would be no economy of scale as the sales of electricity increases at the same rate of the increasing cost. The R&D investment in the present electricity industry has been performed inefficiently by showing the negative impact on price-cost margin of the intensity of R&D investment, which is the extent of R&D investment to reinforce economy of scale.

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A Study for the Effects of Interconnection Charge Policy on Consumer Welfare in the Mobile Telecommunications Market (이동통신시장의 상호접속료 정책이 소득분위별 후생에 미치는 영향 연구)

  • Park, Chu-Hwan;Han, Sung-Soo;Jeong, Young-Keun
    • Journal of Korea Technology Innovation Society
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    • v.14 no.3
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    • pp.622-646
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    • 2011
  • This paper analyses the effects of mobile telecommunications market's interconnection charge on consumer welfare between 2000 and 2010 by estimating price elasticity of demand with using log linear model and augmented Alexander et al(2000)'s model. The results show that consumer welfare is about 6 trillion won in 2009 and an upward trend. In the 2nd analysis, the decline in interconnection charge raise consumer welfare but, asymmetric interconnection and current TD-BU LRIC system have negative(-) relation with consumer welfare. Hence we need to revise interconnection policy frame.

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Evaluation of a Load Serving Entity Revenue in the Real Time Pricing Considering Customer's Utility (소비자 효용을 고려한 실시간 요금제의 Load Serving Entity 수익 설계 방안)

  • Noh, Jun-Woo;Kim, Mun-Kyeom;Kim, Do-Han;Yoo, Tae-Hyun;Park, Jong-Keun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.2
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    • pp.266-272
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    • 2011
  • Real Time Pricing(RTP) is used not only to stabilize the price volatility in electricity market, but to hedge the price risk for Load Serving Entity(LSE). This paper presents an efficient method to reduce the risk of the price volatility in real-time electricity market. For designing the RTP, load patterns of customer are calculated by applying the demand elasticity and customer's utility is also analyzed to compute the RTP revenue through the risk-attribute of the LSE. In the end, the distribution of the LSE's profits can be evaluated to lead the optimal RTP value, depending on the level of customer's participation. Results from the case study based on PJM data are reported to illustrate the proposed method.

Estimation of the Benefit of Electronic Banking Information Service Using Hedonic Price Technique (헤도닉 가격 기법을 이용한 전자금융 정보서비스 편익 추정에 관한 연구)

  • Lee, Hyung-Seok;Park, Kwang-Tae
    • Asia pacific journal of information systems
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    • v.11 no.4
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    • pp.43-62
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    • 2001
  • Recently, as information and communication technology is swiftly developed, consumers feel more convenient in making use of as well as access to the banking service. This change must affect consumer's benefit, however, there are rare previous studies and methods for measuring it. Thus, we utilize hedonic price technique to estimate consumer's benefit of electronic banking information. The results indicate that the price elasticity of consumer's communication service expenditure regarding the use of electronic banking information is about 0.057%. That is, users have willingness to pay 57 Won more than current communication fee for acquiring the additional electronic banking information.

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