• Title/Summary/Keyword: Return To Scale

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Efficiency Evaluation of 12 Regions of RAI (Iranian Railway) Using Data Envelopment Analysis (DEA)

  • Movahedi, M.M.;Hoseini, S.M.
    • International Journal of Railway
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    • v.1 no.2
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    • pp.37-44
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    • 2008
  • Safe, fast, efficient and effective railway is a main factor of economic development level of every country. This paper uses the DEA method to evaluate and compare the efficiency of 12 Regions of RAI. In addition, we introduce the reference(s) unit(s) for every inefficient region, and determine the amount of input decrease and/or output increase need to become them efficient. Findings indicate that in 2006, 4 regions of 12 are in Constant Return to Scale (CRS) status and 7 of them in Variable Return to Scale (VRS), and the average efficiency is 0.730 and 0.888, respectively. In other words, RAI works 27 percent under its capacity. More over results indicate that Hormozgan, Khorasan, Tehran and Isfahan Regions have the most efficiency respectively. The results show that the 8 regions, have been working in Increaser Return to Scale and 4 reminder Regions in Decrease Return to Scale. According to this results, we submit the suitable suggestion for improve the efficiency of the inefficient regions.

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Application of the Large-scale Climate Ensemble Simulations to Analysis on Changes of Precipitation Trend Caused by Global Climate Change (기후변화에 따른 강수 특성 변화 분석을 위한 대규모 기후 앙상블 모의자료 적용)

  • Kim, Youngkyu;Son, Minwoo
    • Atmosphere
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    • v.32 no.1
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    • pp.1-15
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    • 2022
  • Recently, Japan's Meteorological Research Institute presented the d4PDF database (Database for Policy Decision-Making for Future Climate Change, d4PDF) through large-scale climate ensemble simulations to overcome uncertainty arising from variability when the general circulation model represents extreme-scale precipitation. In this study, the change of precipitation characteristics between the historical and future climate conditions in the Yongdam-dam basin was analyzed using the d4PDF data. The result shows that annual mean precipitation and seasonal mean precipitation increased by more than 10% in future climate conditions. This study also performed an analysis on the change of the return period rainfall. The annual maximum daily rainfall was extracted for each climatic condition, and the rainfall with each return period was estimated. In this process, we represent the extreme-scale rainfall corresponding to a very long return period without any statistical model and method as the d4PDF provides rainfall data during 3,000 years for historical climate conditions and during 5,400 years for future climate conditions. The rainfall with a 50-year return period under future climate conditions exceeded the rainfall with a 100-year return period under historical climate conditions. Consequently, in future climate conditions, the magnitude of rainfall increased at the same return period and, the return period decreased at the same magnitude of rainfall. In this study, by using the d4PDF data, it was possible to analyze the change in extreme magnitude of rainfall.

Efficiency analysis of agricultural machinery rental system using the DEA model (자료포락분석법을 이용한 농기계 임대사업의 효율성 분석)

  • Hong, Soon-Jung;Huh, Yun-Kun;Chung, Sun-Ok;Hong, Song-Hyun
    • Korean Journal of Agricultural Science
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    • v.39 no.2
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    • pp.279-289
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    • 2012
  • This study was conducted to survey and diagnose operation status of the agricultural machinery rental service, analyse and compare operational efficiency among 82 city and county ATDEC (agricultural technology development and extension center) using the DEA (Data Envelopment Analysis) method, and recommend future direction, for improvement of the business. Input variables were invested budget and labor, and output variable was rental return. Percentages of return to investment on the rental service were calculated as 68.3% and 63.9% when analyzed with CCR (Charnes, Cooper and Rhodes) and BCC (Banker, Charnes and Cooper) models, respectively, indicating inefficiency of the service operation. Increase of rental charge would increase efficiency by 63.9~68.3% depending on models, and decrease of financial and labor investment would improve the efficiency by about 11.3%. Technical efficiency would be more important than scale efficiency, therefore adjustment of over-invested budget and labor needed to be made together with increase of rental charge to improve the operation. Among the ATDECs providing the rental service, 6 (7.3%), 43 (52.4%), and 33 (40.2%) were in state of CRS (constant return to scale), IRS (increasing return to scale), and DRS (decreasing return to scale), respectively. These indicated public aspects of the rental system, over-investment, lack of output component for input component, meaning that scale income would be increased by qualitative expand of rental charge. Efficiency analysis of the rental system by region showed that efficient ATDECs to be benchmarked by others were in the order of DMU-70, DMU-54, DMU-29, DMU-5, DMU-22, DMU-2, and DMU-61. More comprehensive and extensive survey and analyses would be necessary in the future.

A Comparison Study on University Research Efficiency Using DEA Analysis: focused on A University Case (DEA를 이용한 대학 연구 효율성 비교 연구 - A 대학 사례를 중심으로 -)

  • Kim, Seonmin
    • Journal of the Korea Safety Management & Science
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    • v.15 no.1
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    • pp.249-258
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    • 2013
  • Data Envelopment Analysis (DEA) is a useful tool to analyze the relative efficiency of decision making units (DMU) characterized by multiple inputs and multiple outputs. This method has been popularly used as an analytical tool to suggest some strategic improvement. To do this, the results of DEA provide decision makers with a single efficiency score, efficient frontier, return to scale, benchmarking decision making units, etc. The purpose of this paper is to evaluate research performance of 38 universities and provide an inefficient university with the way of organizational changes to be an efficient university by using DEA. Various input and output variables are used to identify technical and scale inefficiency. Additionally, we analyze how an inefficient DMU could be changed an efficient DMU based on a case university. This result will give an insight of constructive directions for increasing of research performance to university decision makers.

Analysis of Marginal Productivity and Return to Scale Using Estimation of Production Function in Offshore Fisheries (근해어업 생산함수 추정을 이용한 규모수익 및 한계생산성 분석)

  • Sim, Seonghyun;Nam, Jongoh
    • Ocean and Polar Research
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    • v.39 no.4
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    • pp.301-318
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    • 2017
  • The production of Korean offshore fisheries has been gradually decreasing due to the severe depletion of offshore fisheries resources caused by excessive fishing efforts. The production of the offshore fisheries in 2016 was the lowest since 1975. So the federal and local governments in Korea adopted and implemented various fisheries management plans and policies in order to restore fisheries resources. However, these plans and polices have not been successful in re-establishing fisheries resources. Thus, in order to accurately diagnose the situation with regard to offshore fisheries, this study sought to estimate not only the return to scale by fishing gear of offshore fisheries, but marginal productivity of individual fishing gear based on production factors derived from offshore fisheries production functions. The study was organized in the following manner. First of all, this study estimates production functions of offshore fisheries. The Cobb-Douglas and the translog production functions are adopted as offshore fisheries production functions. Specifically, the functions are estimated by crew, vessels, and offshore resource as production factors. The offshore resource is estimated by the Clarke Yoshimoto Pooley model based on the surplus production model. Secondly, the fisheries production functions are extended to the fixed-effect model and the random-effect model with panel data. Thirdly, this study analyzes the return to scale of offshore fisheries and the marginal productivity of the production factors from the estimated offshore fisheries production function. In conclusion, this study suggests plans and countermeasures for productivity improvement by group (labor intensive or technology intensive) based on the characteristics of individual offshore fishing gear.

A Study on the Prediction of Stock Return in Korea's Distribution Industry Using the VKOSPI Index

  • Jeong-Hwan LEE;Gun-Hee LEE;Sam-Ho SON
    • Journal of Distribution Science
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    • v.21 no.5
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    • pp.101-111
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    • 2023
  • Purpose: The purpose of this paper is to examine the effect of the VKOSPI index on short-term stock returns after a large-scale stock price shock of individual stocks of firms in the distribution industry in Korea. Research design, data, and methodology: This study investigates the effect of the change of the VKOSPI index or investor mood on abnormal returns after the event date from January 2004 to July 2022. The significance of the abnormal return, which is obtained by subtracting the rate of return estimated by the market model from the rate of actual return on each trading day after the event date, is determined based on T-test and multifactor regression analysis. Results: In Korea's distribution industry, the simultaneous occurrence of a bad investor mood and a large stock price decline, leads to stock price reversals. Conversely, the simultaneous occurrence of a good investor mood and a large-scale stock price rise leads to stock price drifts. We found that the VKOSPI index has strong explanatory power for these reversals and drifts even after considering both company-specific and event-specific factors. Conclusions: In Korea's distribution industry-related stock market, investors show an asymmetrical behavioral characteristic of overreacting to negative moods and underreacting to positive moods.

Optimal Estimation of Water Use in the Large-Scale Basin (대규모 유역에서의 적정 용수이용량 산정)

  • Ryoo, Kyong-Sik;Hwang, Man-Ha
    • Journal of The Korean Society of Agricultural Engineers
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    • v.49 no.3
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    • pp.3-10
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    • 2007
  • In general method to estimate the water supplies in the large-scale basin, indirect estimation method such as unit loading factor method has been used. However, the estimated water supplies are much different to the real water supplies used in the any basin because these general methods estimate them considering water supply demands only. Especially, water supplies for irrigation are big different to the real water supplies in which the water supplies for irrigation are depend on the weather conditions such as evaporation, basin conditions such as infiltration, the reservoir operation rule for irrigation water, and distribution methods. Thus, a new estimation method is developed to estimate the real water demands which is essential factors for the effective water resources operation in the basin. This method is for estimating the water supplies and return rates based on the survey of the irrigation reservoirs and the analysis of effects to the stream flows, return flows, and water supplies for irrigation which water supplies and return rates are used in the basin water management model. The water supply usages in each subbasin are validated by comparisons between the simulated discharges from the basin water management model and the discharges measured in the control points.

An Analysis on the DEA Efficiency of Project Based on the Environment-friendly Agricultural Production (DEA를 이용한 친환경생산기반구축사업의 효율성 분석)

  • Yang, Sung-Bum
    • Korean Journal of Organic Agriculture
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    • v.24 no.3
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    • pp.337-353
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    • 2016
  • The objective of this study is to analyze the DEA efficiency of the environment-friendly agricultural districts and zones. There are political inefficiency in districts and zones with 45.3% and 85.0%. It mainly results from scale efficiency than pure technical efficiency. There are 10 efficient zones, while 34 decreasing return to scale ones. Meanwhile, districts mostly have increasing return to scale with 97.9%. The results of this study is meaningful to re-construct the project based on the environment-friendly agricultural production.

Golf participation after rotator cuff repair: functional outcomes, rate of return and factors associated with return to play

  • Thomas R Williamson;Patrick G Robinson;Iain R Murray;Andrew D Murray;Julie M McBirnie;C Michael Robinson;Deborah J MacDonald;Nicholas D Clement
    • Clinics in Shoulder and Elbow
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    • v.26 no.2
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    • pp.109-116
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    • 2023
  • Background: Golf is a popular sport involving overhead activity and engagement of the rotator cuff (RC). This study aimed to determine to what level golfers were able to return to golf following RC repair, the barriers to them returning to golf and factors associated with their failure to return to golf. Methods: Patients preoperatively identifying as golfers undergoing RC repair at the study centre from 2012 to 2020 were retrospectively followed up with to assess their golf-playing status, performance and frequency of play and functional and quality of life (QoL) outcomes. Results: Forty-seven golfers (40 men [85.1%] and 7 women [14.9%]) with a mean age of 56.8 years met the inclusion criteria, and 80.1% were followed up with at a mean of 27.1 months postoperatively. Twenty-nine patients (76.3%) had returned to golf with a mean handicap change of +1.0 (P=0.291). Golf frequency decreased from a mean of 1.8 rounds per week preinjury to 1.5 rounds per week postoperatively (P=0.052). The EuroQol 5-dimension 5-level (EQ-5D-5L) index and visual analog scale (EQ-VAS) score were significantly greater in those returning to golf (P=0.024 and P=0.002), although functional outcome measures were not significantly different. The primary barriers to return were ipsilateral shoulder dysfunction (78%) and loss of the habit of play (22%). Conclusions: Golfers were likely (76%) to return to golf following RC repair, including mostly to their premorbid performance level with little residual symptomatology. Return to golf was associated with a greater QoL. Persistent subjective shoulder dysfunction (78%) was the most common barrier to returning to golf.

Return to Work and Its Relation to Financial Distress among Iranian Cancer Survivors

  • Ghasempour, Mostafa;Rahmani, Azad;Davoodi, Arefeh;Sheikhalipour, Zahra;Ziaeei, Jamal Evazie;Abri, Fariba
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.6
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    • pp.2257-2261
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    • 2015
  • Background: Return to work after treatment completion is important for both cancer survivors and society. Financial distress is one of the factors that may influence the return to work in cancer survivors. However, this relationship has not been well investigated. This study aimed to determine the rate of return to work and its relation to financial distress among Iranian cancer survivors. Materials and Methods: This descriptive-correlational study was undertaken among 165 cancer survivors who completed their initial treatments and had no signs of active cancer. The Return to Work questionnaire and Financial Distress/Financial Well-Being Scale were used for data collection. Data were analyzed using SPSS statistical software. Results: After initial treatments, 120 cancer survivors (72%) had returned to work, of which 50 patients (42%) had returned to full-time work and 70 (58%) reduced their work hours and returned to part-time work. Cancer survivors also reported high levels of financial distress. In addition, the financial distress was lower among patients who had returned completely to work, in comparison to patients who had quit working for cancer-related reasons (p= 0.001) or returned to work as part-time workers (p=0.001). Conclusions: The findings showed that a high percent of Iranian cancer survivors had not returned to their jobs or considerably reduced working hours after treatment completion. Accordingly, due to high levels of financial distress experienced by participants and its relation to return to work, designing rehabilitation programs to facilitate cancer survivor return to work should be considered.