Analysis of Technical Efficiency and Productivity Using Meta-frontier-Manufacturing Industries in Korea and China

2012 ◽  
pp. 87-108
Author(s):  
Sang-Mok Kang ◽  
Moon-Hwee Kim
Keyword(s):  
Technical Efficiency ◽  
Manufacturing Industries ◽  
Efficiency And Productivity

Economic openness and technical efficiency: A case study of Chinese manufacturing industries

1999 ◽  
Vol 7 (3) ◽  
pp. 615-636 ◽  
Author(s):  
Haishun Sun ◽  
Phillip Hone ◽  
Hristos Doucouliago
Keyword(s):  
Technical Efficiency ◽  
Manufacturing Industries ◽  
Economic Openness

Technical efficiency and productivity in ship operation

2013 ◽  
pp. 685-690
Author(s):  
Floriano Pires ◽  
Itamar Azevedo ◽  
Luiz Assis ◽  
Claudio Vieira
Keyword(s):  
Technical Efficiency ◽  
Efficiency And Productivity ◽  
Ship Operation

scholarly journals Technical Efficiency and Productivity Growth of Polish Crop Farms

2019 ◽  
Vol 298 (2) ◽  
pp. 95-125
Author(s):  
Jerzy Marzec ◽  
Andrzej Pisulewski ◽  
Artur Prędki
Keyword(s):  
Technical Efficiency ◽  
Productivity Growth ◽  
Efficiency And Productivity

scholarly journals Technical Efficiency and Technical Change in Canadian Manufacturing Industries

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Samuel Gamtessa
Keyword(s):  
Technical Efficiency ◽  
Technical Change ◽  
Fixed Effects ◽  
Manufacturing Sector ◽  
Stochastic Frontier ◽  
Manufacturing Industries ◽  
Omitted Variables ◽  
Dynamic Panel ◽  
Data Set ◽  
Canadian Manufacturing

This study applies the “true fixed effects” panel stochastic frontier methodology to the Canadian KLEMS data set to estimate technical change and technical efficiency in the Canadian manufacturing sector. To account for the endogeneity of capital inputs as well as the possible problems related to omitted variables, a two-stage residual inclusion method is pursued. The first stage is estimated using the dynamic panel GMM method. The results show that Canadian manufacturing industries experienced significant declines in technical efficiencies during the last ten years. This suggests that the observed slowdown in TFP growth during the recent past is partly due to declining technical efficiency.

Productivity changes in Indian steel plants: DEA approach

2018 ◽  
Vol 35 (5) ◽  
pp. 1093-1114 ◽  
Author(s):  
Pankaj Kumar ◽  
J. Maiti
Keyword(s):  
Technical Efficiency ◽  
Management Control ◽  
Data Envelopment ◽  
Content Type ◽  
Multiple Input ◽  
Output Factors ◽  
Productivity Indices ◽  
Changes Over Time ◽  
Efficiency And Productivity

Purpose The purpose of this paper is to evaluate the technical efficiency and productivity changes in the integrated steel plants in India over a period of five years. Design/methodology/approach Since this evaluation of integrated steel plants needs consideration of multiple input and output factors, data envelopment analysis (DEA) has been employed including bootstrapping (to account for statistical noise) to evaluate the relative efficiency of the steel manufacturing units. The efficiency and Malmquist productivity indices of a sample of ten integrated steel plants producing around 55 percent of the industry’s output were determined for the period 2008-2013. The results of these changes were further categorized according to the management control, route followed to produce crude steel, size and age of these steel plants, for gaining insights. Findings The study finds that private sector steel plants with larger capacity and which have adopted the latest and most modern technologies are more efficient and productive over the study period. Practical implications Public sector steel plants should therefore be provided with more autonomy and delegation of power and should be agiler in responding to market requirements as well as increasing their installed capacities to be competitive in technical efficiency and productivity as well as profitability in the long term to ensure sustainable achievements. Originality/value Productivity changes over time, both with respect to technological and efficiency changes, for the Indian integrated steel plants producing comparable products using DEA.

EFFICIENCY AND PRODUCTIVITY CHANGE IN FIELD CROP AND MILK FARMS IN LUBLIN PROVINCE IN 2014-2016

2018 ◽  
Vol XX (1) ◽  
pp. 137-142
Author(s):  
Alina Syp ◽  
Dariusz Osuch
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Dairy Farms ◽  
Productivity Change ◽  
Data Envelopment ◽  
Field Crop ◽  
Dea Model ◽  
Malmquist Indices ◽  
Efficiency And Productivity ◽  
Efficiency Indicators

The aim of the study was assessment of efficiency and productivity of farms in the Lublin province in the years 2014-2016. The analysis was based on the Data Envelopment Analysis (DEA) model oriented on inputs and Malmquist indices with its components. The calculations were made for medium-sized field and dairy farms that continuously collected data for the FADN system during the period under consideration. In our research all efficiency indicators for dairy farms were larger than for field crop farms. In the years 2014-2016, the average technical efficiency of dairy farms was 0.752, which means that in those farms it is possible to reduce inputs on average by 25% and the value of production will remain at the same level. In the case of field crop farms, inputs should be limited by 33%. The applied decomposition of calculated Malmquist indices allowed to define what factors influenced changes in productivity.

Comparison of Technical Efficiency, Shadow Prices of Capital and SO₂ in Korean-Chinese Manufacturing Industries

2008 ◽  
Vol 14 (1) ◽  
pp. 29-47 ◽  
Author(s):  
Myunghun Lee ◽  
임종철 ◽  
장지용 ◽  
최문찬
Keyword(s):  
Technical Efficiency ◽  
Manufacturing Industries ◽  
Shadow Prices ◽  
Korean Chinese
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