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

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.

scholarly journals Sources Of Efficiency And Productivity Growth In The Philippine State Universities And Colleges: A Non-Parametric Approach

2011 ◽  
Vol 6 (6) ◽  
Author(s):  
Mary Caroline N. Castano ◽  
Emilyn Cabanda
Keyword(s):  
Technical Efficiency ◽  
Productivity Growth ◽  
Returns To Scale ◽  
Malmquist Index ◽  
State Universities ◽  
Factor Productivity ◽  
Universities And Colleges ◽  
Multi Stage ◽  
Dea Models ◽  
Efficiency And Productivity

This paper evaluates the efficiency and productivity growth of State Universities and Colleges (SUCs) in the Philippines. The SUCs performance is determined on the changes in total factor productivity (TFP), technological, and technical efficiency. We use two Data envelopment analysis (DEA) models for the first time in estimating the relative performance of SUCs. Firstly, the output-orientated DEA-Malmquist index is calculated from panel data of 59 SUCS over the period 1999-2003 or a total of 295 observations, and secondly, the DEA multi-stage model (input reduction) is estimated. The two DEA models are calculated using three educational outputs and three inputs. Using Malmquist Index model, findings reveal that 49 SUCs or 83 percent are efficient. The technological index shows that six (6) SUCs or 10.16 percent only shows a technological progress. In terms of total factor productivity, SUCs obtained an index score of 1.002, which implies a productivity growth. This means that 27 SUCs or 45.76 percent shows a remarkable productivity growth. The main source of productivity growth is due to technical efficiency than innovation. In general, SUCs shows a 5.2 percent technological regression over the study period. Lack of innovation in the Philippine higher institutions has a policy implication: the Philippine government should exert more efforts to provide modern teaching and learning facilities in every state school to improve its deteriorating technological performance. Furthermore, using multi-stage method, technical efficiency has an average of 95.4 percent (Constant-returns-to scale DEA) compared with 96.6 percent (Variable-returns-to scale DEA). Finally, the scale efficiency has a 98.7 percent rating. This implies that, in general, SUCs obtained a below frontier efficiency score. The new findings in this paper may give impetus to Commission on Higher Education, lawmakers or legislators, and the university administrators to adopt measures that would be beneficial to the improvement of State Universities and Colleges in terms of inefficiency and unproductive growth.

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