Technical efficiency and productivity growth along the automotive value chain: evidence from Italy

2015 ◽  
Vol 25 (2) ◽  
pp. 245-259 ◽  
Author(s):  
Alessandro Manello ◽  
Giuseppe G. Calabrese ◽  
Piercarlo Frigero
Keyword(s):  
Technical Efficiency ◽  
Productivity Growth ◽  
Value Chain ◽  
Efficiency And Productivity

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 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.

scholarly journals A Novel MIMIC-Style Model of European Bank Technical Efficiency and Productivity Growth

2020 ◽  
Vol 2020 (2012) ◽  
Author(s):  
Marwan Izzeldin ◽  
◽  
Emmanuel Mamatzakis ◽  
Anthony Murphy ◽  
Mike Tsionas ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Productivity Growth ◽  
European Bank ◽  
Efficiency And Productivity

scholarly journals Technical efficiency and total factor productivity in the Kazakh banking industry

2016 ◽  
Vol 66 (4) ◽  
pp. 685-709
Author(s):  
Adnan Kasman ◽  
Kamila Mekenbayeva
Keyword(s):  
Technical Efficiency ◽  
Productivity Growth ◽  
Commercial Banks ◽  
Economies Of Scale ◽  
Banking Industry ◽  
Malmquist Index ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Second Stage ◽  
Efficiency And Productivity

This paper investigates the technical efficiency and productivity of Kazakh commercial banks over the period 2000–2013. Non-parametric approaches, namely the Data Envelopment Analysis and the Malmquist index are employed to calculate technical efficiency and productivity. In addition, a second-stage regression is also estimated to identify the determinants of efficiency. The results indicate that banks in Kazakhstan operate below their optimum levels, with larger banks being more efficient than smaller ones. The results also indicate the presence of economies of scale for banks of all sizes. The efficiency of banks is found to be significantly and positively related to profitability, capitalisation, bank size, and liquidity. The results further indicate that Kazakh banks seem to have experienced a significant productivity growth over the sample period.

Evaluating and Benchmarking Productive Performance of Shipping Companies

2013 ◽  
Vol 284-287 ◽  
pp. 3675-3678
Author(s):  
Ching Tsung Hung
Keyword(s):  
Technical Efficiency ◽  
Productivity Growth ◽  
Distance Functions ◽  
Operating Costs ◽  
Scale Efficiency ◽  
Competitive Advantages ◽  
Productive Performance ◽  
Efficiency Change ◽  
Shipping Company ◽  
Efficiency And Productivity

As the shipping service has become similar standard, to seek for expansion and competitive advantages, the industry would either increase its quality or decrease operating costs. Although it was highly competitive in the industry, as the corporations have become internationalized, many logistics were dependent on the shipping transportation. The purpose of this paper is to analyze efficiency and productivity growth of shipping company in the world for the period 2000–2010. The Malmquist Productivity Indexes was based on the distance functions to decompose the productivity growth into two mutually exclusive components: technical efficiency change and technical change overtime, which measures the change in efficiency frontier shift. From the results, we know that pure technical efficiency and scale efficiency change during the financial crisis is worse.

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