scholarly journals Analysing the Pattern of Productivity Change in the European Energy Industry

2021 ◽  
Vol 13 (21) ◽  
pp. 11742
Author(s):  
Djula Borozan ◽  
Dubravka Pekanov Starcevic
Keyword(s):  
Technological Innovation ◽  
Energy Industry ◽  
Productivity Change ◽  
Data Envelopment ◽  
Productivity Analysis ◽  
Average Increase ◽  
Multifactor Productivity ◽  
Slow Pace ◽  
Increase In Productivity ◽  
Efficiency And Productivity

For an industry to succeed in a competitive market, it should continuously take care of not only its stakeholders but also its technical efficiency and productivity. In this paper, data envelopment analysis was combined with Malmquist productivity analysis to investigate the pattern of multifactor productivity changes in the European energy industry over the period from 2005–2016. The results showed that the whole industry was technically inefficient and had large potential for improvement. A slight average increase in productivity that was observed over the studied period proved to be sensitive to the financial and economic situation and equally sensitive to technological and efficiency advances. As for efficiency gains, they reflected the nature of the energy industry, implying that they were due to scale efficiencies rather than human resource improvements. Although technological innovation and the optimal scale of production increased productivity, the slow pace at which this occurred and the negative outlook highlighted by the observed trends call for more serious consideration of the future productivity deployment of the European energy industry, particularly in the context of its decarbonisation, diversification, and modernisation.

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.

Global Malmquist Productivity Index based on preference common-weights

Filomat ◽  
2016 ◽  
Vol 30 (10) ◽  
pp. 2653-2661 ◽  
Author(s):  
Salman Abbasian-Naghneh
Keyword(s):  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Programming Technique ◽  
Common Weights ◽  
Common Basis ◽  
Dea Models ◽  
Efficiency And Productivity ◽  
Linear Programming Technique

Data Envelopment Analysis is a linear programming technique for assessing the efficiency and productivity of decision making units (DMUs). Over the last decade, DEA has gained considerable attention as a managerial tool for measuring performance. The flexibility in selecting the weights in standard DEA models deters the comparison among DMUs on a common base. Moreover, these weights are unsuitable to measure the preferences of a decision maker (DM). For dealing with these two difficulties simultaneously; we use preference common weights. This paper uses preference common weights for time-series evaluations to calculate the global Malmquist productivity index (MPI) so that the productivity of changes of all DMUs have a common basis for comparison, and DM?s preference information is incorporated in calculating global MPI. The Malmquist Productivity Index (MPI) suggests a convenient way of measuring the productivity change of a given unit between two consequent time periods.

Efficiency and productivity analysis of Indian banking industry using Hicks-Moorsteen approach

2014 ◽  
Vol 63 (1) ◽  
pp. 57-84 ◽  
Author(s):  
Supran Kumar Sharma ◽  
Raina Dalip
Keyword(s):  
Productivity Growth ◽  
Banking Sector ◽  
Banking Industry ◽  
Malmquist Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Productivity Analysis ◽  
Financial Reforms ◽  
Content Type ◽  
Efficiency And Productivity

Purpose – The purpose of this paper is to attempt to measure the performance of the Indian banking sector in terms of efficiency and productivity levels and their determinants during the post-reform period. Design/methodology/approach – The present study is a novel attempt as it has used pooled data for a duration of 15 years (i.e. 1997/1998-2010/2011) from 59 selected banks for estimating the Hicks-Moorsteen (HM) total factor productivity (TFP) index. Findings – Poor technical efficiency has experienced with scale efficiency change exerting dominant factors; whereas relatively better productivity growth has been experienced by the banks with major contributions from technical change components. The study found relatively underestimated efficiency and productivity levels by traditional data envelopment analysis-based Malmquist index. Additionally, the study brings into account the results for external and environmental determining factors contributing to the TFP growth. Originality/value – Using HMTFP indices has helped to eliminate certain drawbacks of data envelopment and provided the more elaborative decomposition of productivity growth along with their components so as to have lucid and multidimensional insights about the performance of the Indian banking industry after the initiation of financial reforms.

scholarly journals INTERTEMPORAL EFFICIENCY AND PRODUCTIVITY CHANGING ON TELECOMMUNICATION INDUSTRY (TI) IN ASEAN-5

2021 ◽  
Vol 6 (1) ◽  
pp. 123
Author(s):  
Dyah Wulan Sari ◽  
Lusi Sulistyaningsih ◽  
Haura Azzahra Tarbiyah Islamiya ◽  
Wenny Restikasari
Keyword(s):  
Technical Efficiency ◽  
Malmquist Index ◽  
Primary Source ◽  
Efficiency Score ◽  
Productivity Change ◽  
Telecommunication Industry ◽  
Data Envelopment ◽  
The Mean ◽  
Intertemporal Efficiency ◽  
Efficiency And Productivity

The study aims to measure the technical and intertemporal efficiency and find the primary source of productivity change on top three telecommunication firms in each country of ASEAN-5 (Indonesia, Malaysia, Thailand, Philippines, and Singapore) from 2010 to 2016. Data Envelopment Analysis (DEA) bootstrapping with 2000 iterations, DEA window, and Malmquist index are applied to calculate technical efficiency, intertemporal efficiency, and productivity change. The estimation results elucidate that, on average, the technical efficiency of firms is relatively low. On the opposite, the intertemporal efficiency results indicate that the mean efficiency score of each window is high. However, the LDW and LDP tend to be high, showing that the efficiency scores fluctuate. The Malmquist index calculation yields that technological progress possesses a significant contribution to productivity change.Keywords: Technical Efficiency, Intertemporal Efficiency, Productivity Change, Telecommunication Industry, ASEAN-5  JEL Classifications: L8, F6, O5, O1, O3

Measurement of financial efficiency and productivity of Turkish Public Universities by using non-parametric methods

2019 ◽  
Vol 11 (4) ◽  
pp. 876-896
Author(s):  
Aslı Günay ◽  
Murat Ali Dulupçu
Keyword(s):  
Total Factor Productivity ◽  
Public Universities ◽  
Productivity Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Financial Efficiency ◽  
Data Set ◽  
Content Type ◽  
Efficiency And Productivity

Purpose The purpose of this paper is to measure the financial efficiency and productivity of 23 public universities founded in 1992 in Turkey over the period between 2004 and 2013. The results obtained will provide managerial information and act as a guide to public universities’ administrations, in using their resources more effectively. Design/methodology/approach Data envelopment analysis is applied to assess the relative financial efficiency of these universities, while Malmquist total factor productivity index is used to measure the total factor productivity change concerning financial inputs of the universities. Findings The number of financially efficient universities and the number of universities showing an increase in their productivity according to their financial inputs change annually and both of them display a rough trend over the years. A decrease of about 5 percent in the financial productivity of the universities is observed which stems from a technological recession. Therefore, public universities in Turkey are not able to develop effective policies to diversify, increase and use their financial resources. Originality/value When the lack of studies within the literature measuring the financial efficiency of higher education institutions is taken into account, this study can fill a gap in this area. The analyses conducted here distinguish from existing studies on this subject with regards to the extent and diversity of financial data set and the measurement of both efficiency and productivity change of universities considering financial inputs concurrently.

scholarly journals EFFICIENCY AND PRODUCTIVITY CHANGE ACROSS THE ECONOMIC SECTORS IN LITHUANIA (2000–2010): THE DEA–MULTIMOORA APPROACH

2014 ◽  
Vol 19 (Supplement_1) ◽  
pp. S191-S213 ◽  
Author(s):  
Tomas Baležentis ◽  
Algimantas Misiūnas ◽  
Alvydas Baležentis
Keyword(s):  
Value Added ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Economic Sectors ◽  
Services Sector ◽  
Intermediate Consumption ◽  
The Impact ◽  
Efficiency And Productivity

Reasonable strategic management requires the complex assessment of the regulated area. This study, thus, presents a multi-criteria framework for frontier assessment of efficiency and productivity across the Lithuanian economic sectors throughout 2000–2010. The data envelopment analysis was employed to estimate efficiency in terms of an output indicator (value added) and input indicators (intermediate consumption, capital consumption, and remunerations). Furthermore, the decomposition of the Malmquist productivity index enabled to describe the impact of frontier shifts and catch-up effect on the overall change in efficiency. The multi-criteria decision making method MULTIMOORA aggregated different indicators of efficiency and productivity and thus resulted in the ranking of the economic sectors. The analysis suggests that services sector was the most efficient one, whereas manufacturing was second best. Certain branches of manufacturing, namely pharmaceutical, wood, food, and furniture industry, were rather efficient.

scholarly journals Technical Efficiency and Productivity of Tobacco Control Policies in 16 Selected OECD Countries: A Comparative Study Using Data Envelopment Analysis, 2008-2014

2020 ◽  
Author(s):  
Majid Safaei Lari ◽  
Behzad Raei ◽  
Pedram Nourizadeh Tehrani ◽  
Amirhossein Takian
Keyword(s):  
Data Envelopment Analysis ◽  
Tobacco Control ◽  
Technical Efficiency ◽  
Oecd Countries ◽  
Productivity Change ◽  
Data Envelopment ◽  
Tobacco Products ◽  
Control Policies ◽  
Tobacco Control Policies ◽  
Efficiency And Productivity

Abstract Background: To date, there is no synthesized evidence about the technical efficiency (TE) of cross-country tobacco control policies. This study aims to measure the efficiency and productivity of tobacco control policies across 16 selected countries of Organization for Economic Co-operation and Development (OECD) from 2008 to 2014.Method: We used data envelopment analysis (DEA). MPOWER is an acronym for a WHO proposed package consisting of six tobacco reduction interventions that can be adapted to present a commitment of the parties to a treaty labeled FCTC (Framework Convention on Tobacco Control).Taxation on tobacco products and pictorial warning labels were chosen as the inputs. Percentage of daily smokers’ population above 15 years old and the number of cigarettes used per smoker per day were output variables. Additionally, the Malmquist total factor productivity (TFP) was used to analyze the panel data and measure productivity change and technical efficiency changes over time.Results: The highest TE score (1.05) was attributed to Norway and the lowest (0.9175) belonged to the United Kingdom (UK). Technological change with a total average of 1.069 would imply that the technology and creativity have increased, while countries have been able to promote their creativity over the time period. Norway with the TFP score of 1.15 was the most productive country, while the UK and Turkey with the TFP scores of 0.95 and .098 respectively, were the least productive countries in the implementation of the MPOWER policies.Conclusion: Most OECD countries have productively implemented MPOWER policies. Such productive performances are the results of the strong pivotal pictorial warnings. Consequently, the policy of plain packaging seems to hamper the MPOWER policies. Taxation on tobacco products were relatively weak and inefficient.

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