• Title/Summary/Keyword: 생산효율성

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The Effect of Energy Efficiency Investment on Industry's Productivity Growth (에너지효율화 투자의 산업생산성 파급효과 분석)

  • Lee, Myunghun
    • Environmental and Resource Economics Review
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    • v.20 no.2
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    • pp.291-308
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    • 2011
  • The success of a target of 'low-carbon green growth' depends on whether installing energy-saving capital would result in an increase in industry's productivity growth. Defining total factor productivity from a dual cost function, this paper estimates the contribution of energy efficiency investment to productivity growth by analyzing the sources of growth of productivity index for the primary metal industries. Empirical results show that, on average, energy efficiency investment increased the annual rate of productivity growth by 1.16 percentage points over th period 1982~2006. In addition, The scale effect positively affected the contribution of energy efficiency investment on productivity growth.

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A Study on the Measurement and Effect Factors of Productivity of the Korean Ocean Carriers (금융위기 이후 국적 외항선사의 생산성 측정과 영향요인에 관한 연구)

  • Nam, Hyung-Sik;Ahn, Ki-Myung
    • Journal of Navigation and Port Research
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    • v.44 no.4
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    • pp.338-346
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    • 2020
  • In this study, we first measured the Malmquist productivity index by DEA among the Korean ocean carriers. Second, it was intended to present measures to improve productivity by identifying the influence and discriminating power between productivity and the major financial ratios (profitability, financial stability, liquidity, efficiency and value-added productivity). Compared to 2017, there are 11 more shipping carriers with decline in productivity (MPI) than those with an increase in 2018. The increase in productivity is attributed to an increase in the Technology Change Index (TCI) affected by the external environment. There is strong significant correlation between the productivity (MPI) and the management efficiency (CRS). Additionally, the TECI (TECHI) index of the technological efficiency changes from internal factors of the shipping carrier is significantly higher than that of the efficient shipping carrier. This is because of the differences in scale efficiency. The ratio of charter cost/sales is also lower than that of the carriers with high productivity (0.17) and with low productivity (0.21). With 7% of the shipping carrier with MPI>1, only 1% of MPI <1 is found to have a significant impact on its productivity.

Relative Efficiency and Productivity Change of the Korean Non-Life Insurance Firms (국내 손해보험회사의 상대적 효율성 및 생산성 변화)

  • Kang, Ho-Jung
    • The Journal of the Korea Contents Association
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    • v.9 no.5
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    • pp.224-229
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    • 2009
  • This study measures the relative efficiency and productivity change of the Korean Non-Life Insurance Firms using DEA model and Malmquist Index for 2004-2007. The main results of this study can by summarized as follows. First, in case of efficiency of CCR for 2004-2007, the number of efficient firms(CCR value is one) are one firm, one firm, one firm, one firm respectively. Second, in case of efficiency of BCC for 2004-2007, the number of efficient firms(BCC value is one) are five firms, five firms, six firms, six firms respectively. Third, In case of return to scale for 2004-2007, DRS are five firms, DRS are five firms, DRS are six firms, DRS are six firms respectively, Fourth, Malmquist Index representing productivity change for 2004-2007 are 0.99 in 2004-2005, 1.04 in 2005-2006, 1.06 in 2006-2007.

Evaluation of Technical Production Efficiency and Business Structure of Domestic Combined Heat and Power (CHP) Operators: Panel Stochastic Frontier Model Analysis for 16 Collective Energy Operators (국내 열병합발전사업의 기술적 생산효율성 추정 및 사업구조 평가: 16개 집단에너지사업자에 대한 패널 확률프론티어모형(SFA) 분석)

  • Lim, Hyungwoo;Kim, Jaehyeok;Shin, Donghyun
    • Environmental and Resource Economics Review
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    • v.30 no.4
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    • pp.557-579
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    • 2021
  • Collective energy is an intermediate stage in energy conversion and has a great influence on the power structure as a distributed power source. However, the problem of the collective energy business has recently emerged due to the worsening profitability of some collective energy operators. This study measured the technical efficiency of major operators through the estimation of the production efficiency of Korean collective energy operators, and based on this, we looked at ways to improve the profit structure of operators. After collecting detailed data from 16 collective energy operators between 2016 and 2019, the production efficiency of operators was estimated using the panel stochastic frontier model. As a result of the estimation, combined steam power operators showed the highest production efficiency and reverse CHP operators showed the lowest efficiency. Furthermore, as a result of examining the factors influencing profitability, it was confirmed that production efficiency has a positive effect on overall profitability. However, businesses with a high proportion of heat production, such as small district electricity operators, profitability was lower. This phenomenon is due to the structural limitations of the current heat sales market. Hence, the adjustment of the heat sales unit price is necessary to improve profitability of collective energy operators.

A Production Efficiency Analysis of Cucumber Farms in South Korea (시설오이 재배농가의 생산효율성 분석)

  • Kim, Hae-min;Jang, Min-ki;Yi, Hyang-Mi
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.10
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    • pp.6823-6831
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    • 2015
  • The purpose of this study is to analyse cucumber farms managing efficiency and to draw some factors needed to maximize farms production efficiency. After reviewing and analysing some cucumber farms main management index in detail, we found that, compared to scale improvement, technical efficiency has more potential to increase cucumber farms income. Moreover There is a positive correlation between cucumber production and farms pure technical efficiency slightly, but because of the degree, we suggested to reduce input elements for enhancing pure technical efficiency under certain conditions.

제조셀 형성을 위한 신경망 기법 비교 연구

  • 이준한
    • Proceedings of the Korea Association of Information Systems Conference
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    • 1998.10a
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    • pp.150-156
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    • 1998
  • 다품종 소량생산 체제는 혼란의 비경제로 인하여 생산관리의 효율을 향상시키는데 어려움이 많고 제품 표준화에 의한 대량생산에 비하여 효율과 경제성이 떨어진다. 이러한 비효율성을 극복하기 위한 방안 중 하나가 셀 생산방식이며, 이의 적용을 위해서는 부품군 (part family)과 기계셀(machine cell)을 구성하는 제조셀 형성이 이루어져야 한다. 제조셀 형성을 위한 연구가 활발히 이루어지고 있는 가운데 최근에는 신경망을 이용한 제조셀 형성 기법이 소개되고 있다. 본 연구에서는 기존에 연구된 신경망 기법 중 가장 제조셀 형성에 적합하다는 ART1 신경망 기법을 GLVQ 신경망 기법과 비교하여 제조셀 형성의 효율성을 분석하였다.

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Analysis on Productivity Change in Korean Shipbuilding Industry using Malmquist Productivity Index (Malmquist 생산성 지수(MPI)를 이용한 한국 조선 산업의 생산성 변화)

  • Park, Seok-Ho
    • Journal of Korea Port Economic Association
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    • v.34 no.1
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    • pp.51-64
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    • 2018
  • The purpose of this paper is to analyze the productivity change of the Korean shipbuilding industry between 2001-2008 and 2008-2015 by using MPI(Malmquist Productivity Index) to decompose the sources of total factor productivity growth into technical efficiency change, scale efficiency change, pure efficiency change, technical change. The empirical results are as follows. In the first half of the year (2001-2008), productivity increased by 2.8%, which was due to technological advances rather than technical efficiency. In the second half (2008-2015), productivity change declined by -3.4%. This is attributable to the technical efficiency deterioration and technological degeneration caused by a decrease in shipbuilding orders due to the global economic downturn after the global financial crisis and the rise of Chinese shipbuilding industry. In the first half of the period, productivity change was higher than in the second half. Especially, the difference between the two periods is attributed to the technical change and it was proved by statistical verification. The policy implications of this paper suggest that the government and each DMU need to develop new technologies to cope with changes in the global shipbuilding industry environment and strategies to eliminate inefficiencies in order to increase productivity in the future.

Development and Design of an Efficiency Management System of Semiconductor Automation System using Petri-Net (패트리넷을 이용한 반도체 자동화 시스템의 효율관리 시스템 설계 및 개발)

  • 정화영;이승렬;윤호군
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.05a
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    • pp.670-673
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    • 2003
  • 컴퓨터 하드웨어의 빠른 개발 주기에 맞춰 저 가격, 고 효율성, 높은 신뢰성, 호환성 둥의 장점을 가진 PC(Personal Computer)가 현대의 컴퓨터 흐름을 주도하게 되었다. 이에, 산업분야 전반에 걸친 컴퓨터 적용의 증가는 많은 발전과 변화를 가져왔다. 특히, 자동화 시스템분야에서 그 효과가 두드러졌는데 이는 고 가격, 긴 개발기간 둥을 필요로 했던 과거와 달리 저 가격, 짧은 개발기간, 다양한 개발환경 등을 이룰 수 있었다. 또한, 생산량 증가에만 의존하던 과거의 자동화 시스템은 현대에 이르러 시스템의 최적화, 효율의 극대화, 시스템의 안정성, 운용의 편리성, 호환성 등의 개념들이 도입되고 있다. 이에 따라, 반도체 자동화시스템의 개발 및 활용부분에서도 저가의 PC를 활용한 시스템 구축이 실용화되고 있다. 특히, 시스템의 생산성을 높이려는 노력도 많이 이루어지고 개발되었는데, 반도체 부품 생산성 향상과 운용설비의 효율성 극대화를 위한 여러 가지 기법들이 연구 도입되고 있다. 그중 생산성과 직접 관계되는 효율 데이터는 UPEH(Unit per hour)를 들수 있다. 따라서, 본 논문에서는 이러한 효율성에 관련하여 그 기준이 되는 생산 데이터에 대한 시스템 효율성을 자동으로 산출하며, 이를 사용자에게 제공함으로써 보다 정량화 되고 객관적인 평가 자료가 되도록 하였다. 이를 패트리넷을 이용하여 설계 프로세스를 검증하고 실제 산업현장에 적용함으로서 본 시스템에서 제공하는 효율성 데이터가 운용설비의 가동에 관한 평가 기준이 됨을 보였다.

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The Change of Productivity and Efficiency of Korean Shipbuilding Industry and Its Determinants (조선산업의 생산성과 효율성 변화와 그 결정요인)

  • Park, Seok-Ho;Kim, Ho-Nam
    • Journal of Korea Port Economic Association
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    • v.28 no.2
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    • pp.155-177
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    • 2012
  • This paper aims at measuring the changes of Malmquist productivity and technical efficiency of Korean shipbuilding Industry and examinig their determinants utilizing the panel analysis. The increase of the technological progress was greater than technical efficiency, resulting in the increase of the total factor productivity for the period of 2004-2010. This study also employs the panel technique to analyse the effects of Employee, Dock, and Length on the changes of Malmquist productivity and technical efficiency. The dependent variables are obtained from three combinations, which are (Employee, Dock, and CGT), (Employee, Length, and CGT), and (Dock, and Length, and CGT). The empirical results show that all of the explanatory variables have a positive effect on the change of Malmquist productivity and technical efficiency.

The Analysis of Efficiency and Productivity in the Korean and Japanese Railways: A Stochastic Cost Frontier Approach (확률적 비용변경 접근법을 이용한 한국과 일본 철도산업의 효율성과 생산성 분석)

  • Park, Jin-Gyeong;Kim, Seong-Su
    • Journal of Korean Society of Transportation
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    • v.25 no.6
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    • pp.141-157
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    • 2007
  • This paper evaluates the effects of privatization and deregulation on the firm-specific efficiency and total factor productivity (TFP) growth in the Korean and Japanese railways. Using a stochastic frontier approach and a generalized translog functional form, the paper specifies the equation system consisting of a multiproduct variable cost function and input share equations which is estimated with Zellner's iterative seemingly unrelated regression and the corrected least squares method. The Korean and Japanese railway firms are assumed to produce three outputs (Shinkansen passenger-kilometers, incumbent railway passenger-kilometers, ton-kilometers of freight) using three input factors (labor, fuel, maintenance and rolling stock). A monetary value of the ways and fixed installations held by the railroad firm is also included as a quasi-fixed input. The empirical results indicate that the average estimate of cost inefficiency is 2.57% for the total sample and on the average, JNR and JR Kyushu are found to be worst efficient while the most efficient railway firm in the sample is JR West. Also the cost efficiency levels of seven JRs have been improved after the reform and privatization of JNR. The findings also indicate that TFP growth of the privately-owned JRs are higher than those of the government-owned KNR and JNR. Three-island JRs and JR Freight have slightly higher TFP growth than Honshu JRs as well. Thus, the results suggest that managerial autonomy and increased competition via deregulation have improved efficiency and TFP growth.