Productivity in professional Spanish basketball

2014 ◽  
Vol 4 (3) ◽  
pp. 196-211 ◽  
Author(s):  
Marta Brosed Lázaro ◽  
Manuel Espitia-Escuer ◽  
Lucía I. García-Cebrián
Keyword(s):  
Total Factor Productivity ◽  
Malmquist Index ◽  
Efficient Frontier ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Content Type ◽  
Potential Output ◽  
Productive Function ◽  
Contest Design ◽  
Basketball Teams

Purpose – The purpose of this paper is twofold: first, to evaluate the performance of Spanish first-division basketball teams, in terms of efficiency, by defining previously a productive function and obtaining also their potential output. Second, to examine the total factor productivity evolution having information from several years, which allows us to draw conclusions about the changes in the efficient frontier. Design/methodology/approach – In order to assess the efficiency level and the potential output of each team in the ACB competition, between the season 2008/2009 and 2011/2012, an input-oriented version with constant returns of data envelopment analysis is used. The total factor productivity evolution is studied by employing the values of the Malmquist index. Findings – The main conclusion is that the final position of the Spanish basketball teams depends on the efficiency and any technological progress is needed to maintain themselves on top of rank. Practical implications – Performing on the field efficiently is the best way to increase the profits by generating savings, which minimize costs. This analysis allows us to make a series of observations, comments and conclusions with regard to the management of the budgets and the relationship between efficiency and sports performance. Originality/value – The innovations provided by this paper are the use of a different methodology and a different analysis unit from the previous studies. Moreover, it focuses on European basketball, specifically the Spanish league, which is considered the most powerful league after NBA and whose connection with academic studies is quite limited to date. Finally it tries to incorporate the play-off stage, which is complicated but really interesting because of the contest design of these competitions.

scholarly journals KOMPARASI EFISIENSI & PRODUKTIVITAS PERUSAHAAN ASURANSI JIWA KONVENSIONAL DAN SYARIAH DI INDONESIA PADA TAHUN 2014 – 2017, DENGAN PENDEKATAN DEA & INDEKS MALMQUIST

2020 ◽  
Vol 6 (9) ◽  
pp. 1877
Author(s):  
Oky Suryoaji ◽  
Eko Fajar Cahyono
Keyword(s):  
Data Envelopment Analysis ◽  
Total Factor Productivity ◽  
Malmquist Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Constant Return

Tujuan penelitian ini adalah untuk mengetahui tingkat efisiensi dan produktivitas perusahaan asuransi jiwa antara konvensional dan syariah (baik Unit Usaha Syariah maupun Full Fledge) periode 2014 – 2017. Penelitian ini menggunakan pendekatan kuantitatif dengan metode non parametrik DEA (Data Envelopment Analysis) yang dilandaskan dengan asumsi CRS (Constant Return to Scale) dan VRS (Variable Return to Scale) dan Indeks Malmquist asumsi TFPC (Total Factor Productivity Change) dengan diolah menggunakan aplikasi DEAP Versi 2.1. Variabel yang digunakan meliputi Total Aset, Beban, Klaim, Premi/Dana Tabrru’, dan Pendapatan. Subjek yang digunakan dalam penelitian ini sebanyak 29 perusahaan asuransi jiwa syariah yang terdiri 10 perusahaan asuransi jiwa syariah dan 19 perusahaan asuransi jiwa konvensional. Hasil penelitian menunjukkan bahwa rata-rata perusahaan asuransi jiwa konvensional dan syariah belum mencapai efisien (CRS) dan rata-rata TFPC perusahaan asuransi jiwa konvensional sudah mencapai produktivitas sementara syariah belum mencapai produktivitas.Keywords:Asuransi Jiwa Syariah, Efisiensi, Produktivitas, Data Envelopment Analysis (DEA), Constant Return to Scale (CRS), Variable Return to Scale (VRS), Malmquist Index (MI), Total Factor Productivity Change (TFPC)

Total factor productivity of the non-life insurers in India: Malmquist index with a new decomposition

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ashiq Mohd Ilyas ◽  
S. Rajasekaran
Keyword(s):  
Total Factor Productivity ◽  
Life Insurance ◽  
Economies Of Scale ◽  
Negative Impact ◽  
Malmquist Index ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Decomposition Approach ◽  
Content Type ◽  
Insurance Sector

PurposeThis paper aims to measure the change and the sources of change in total factor productivity (TFP) of the Indian non-life insurance sector over the period 2005–2016.Design/methodology/approachThis study employs the bootstrapped Malmquist index (MI) to assess the changes in the TFP and adopts a decomposition approach proposed by Balk and Zofío (2018). Moreover, it utilises truncated regression to identify the determinants of the TFP. In addition, it employs Wilcoxon-W test and t-test to scrutinise the difference between the state-owned and the private insurers in terms of variations in TFP and its various components.FindingsThe results divulge a miniature improvement in TFP of the insurance sector, which is primarily attributable to the improvement in scale efficiency (economies of scale). The results also reveal that there are no significant TFP differences across the ownership. However, private insurers have better scale efficiency and lower input-mix efficiency than state-owned insurers. In addition, the results unveil that size, diversification and reinsurance have a negative impact on the TFP, while age has a positive impact on it.Practical implicationsThe results may help the policymakers to frame new consolidation policies. Moreover, the findings may guide the decision-makers of the Indian non-life insurance companies to abate inefficiency and improve TFP.Originality/valueThis study estimates bias-corrected changes in TFP and efficiency in the non-life insurance sector. Moreover, it adopts an elaborated decomposition of the MI to identify the true sources of change in the TFP.

scholarly journals Towards Sustainable Development: Measuring Environmental Total Factor Productivity in Egypt

2020 ◽  
Vol 9 (2) ◽  
pp. 55
Author(s):  
Iman Al-Ayouty ◽  
Hoda Hassaballa
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Total Factor Productivity ◽  
Malmquist Index ◽  
Policy Implications ◽  
Empirical Literature ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Development Goals ◽  
Energy Intensive Industries

Egypt’s heavy reliance on energy- and capital-intensive industries currently hinders its drive towards achieving sustainable development goals. This paper studies environmental total factor productivity (ETFP) for ten energy-intensive industries using the Malmquist index and data envelopment analysis (DEA) for the period 2002-2014. Through incorporating CO2 emissions by energy intensive industries, DEA helps identify both environmentally-efficient and inefficient industries. Findings indicate that: i) ETFP has remained almost unchanged for the 10 industries, with ‘technical progress’ improvement almost fully outweighed by an efficiency deterioration, ii) excluding the environmental component indeed yields overestimated total factor productivity (TFP). In its estimation of ETFP, the paper adds to exiting empirical literature since no similar estimation has been done for Egypt. Results may be relevant to other countries with similar industrial structures. Policy implications include the reliance on renewable sources of energy, bearing directly on the achievement of the seventh, ninth and twelfth SDG goals. Keywords: environmental total factor productivity; energy intensive industries; data envelopment analysis; Egypt

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 EVALUATION OF FIRMS OF AGRICULTURE AND FOOD SECTORS QUOTED AT BORSA İSTANBUL (BİST) BY DEA-BASED MALMQUIST TOTAL FACTOR PRODUCTIVITY INDEX

2017 ◽  
Vol 16 (1) ◽  
pp. 73-82 ◽  
Author(s):  
Ali Öztop ◽  
Harun Uçak
Keyword(s):  
Total Factor Productivity ◽  
Malmquist Index ◽  
Efficient Frontier ◽  
Productivity Index ◽  
Productivity Change ◽  
Efficiency Frontier ◽  
Factor Productivity ◽  
Productivity Losses ◽  
Food And Agriculture ◽  
Agriculture And Food

This study applies a DEA-based Malmquist index to measure technical efficiency and total factor productivity change of food and agriculture firms quoted at Borsa İstanbul (BİST) over the 2010–2015 period. We have investigated efficiency scores of firms using financial ratios. The study shows that, average Malmquist index score is 16.9% below efficiency frontier. Also, four of the twenty-three firms’ (KRSAN, KENT, TUKAS and ULKER) Malmquist total factor productivity (MTFP) ratio above the efficient frontier. The results indicate that nineteen out of twenty-three firms (82.6%) experienced productivity losses in the examined period.

Are the best African banks really the best? A Malmquist data envelopment analysis

2016 ◽  
Vol 24 (4) ◽  
pp. 588-610 ◽  
Author(s):  
Tesfatsion Sahlu Desta
Keyword(s):  
South Africa ◽  
Data Envelopment Analysis ◽  
Total Factor Productivity ◽  
Commercial Banks ◽  
Productivity Index ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Global Finance ◽  
Content Type ◽  
Efficiency And Productivity

Purpose This paper aims to examine whether the African commercial banks selected as the best African banks by Global Finance Magazine really are the best. Design/methodology/approach Panel data envelopment analysis (DEA) was used, as well as the Malmquist total factor productivity index, to distinguish productive banks from unproductive banks. Nineteen commercial banks were selected from the 30 best African banks as identified by the Global Finance Magazine. Findings Of the 19 banks, five were found to be unproductive. Bank productivity was attributed mainly to technological change, and different methods marked different results, for example, the regional winner bank (Standard Bank of South Africa) selected by Global Finance Magazine ranked ninth in this study, whereas the Bank Windhoek Limited, Namibia, ranked first. Practical implications The study confirms the applicability of DEA for the banking industry. The model shows variability among the banks’ efficiency and productivity and provides different results to the Global Finance Magazine’s best bank selection. For example, the Standard Bank of South Africa, which is selected as the regional winner, is now ranked ninth under the DEA Malmquist’s total factor productivity. Originality/value The study shows that the DEA model can be applied not only for analysing the firm’s efficiency but also for objective rating, ranking and selecting best banks.

Indian IT and ICT Industry: A Performance Analysis Using Data Envelopment Analysis and Malmquist Index

2007 ◽  
Vol 7 (2) ◽  
pp. 1850109 ◽  
Author(s):  
Somesh Mathur
Keyword(s):  
Data Envelopment Analysis ◽  
Data Base ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Technical Change ◽  
Malmquist Index ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Software Firms ◽  
The Common

The present study gives an account of IT and ICT infrastructure in India and points out the reasons for the boom in the IT exports and outsourcing business today and in times to come. The article analyzes the performances of the Indian IT industry by working out the technical efficiency of the software and telecommunication firms using the mathematical model of the Data Envelopment Analysis (DEA). The DEA is a non linear programming way of calculating technical efficiency of the decision making units. The study also examines the impact of various determinants on technical efficiency of software firms and net exports across the IT firms and further examines the determinants for new technology adoption by telecommunication industries, because the success of the software firms in terms of its exports is intertwined with the performance of telecommunication industry. The study uses a Malmquist index to estimate total factor productivity (TFP) change for the common set of software firms existing between 1996 and 2006 using a prowess data base. The total factor productivity is decomposed into efficiency change (catching up phenomena) and technical change (innovations) for the common set of software firms existing between 1996 and 2006 in India. At the end the study works out the performance of the Indian ICT sector in comparison with countries which are front runners using the DEA and global information technology report 2006 data base. The study will quantify the changes needed in the relatively good Indian ICT environment and ICT readiness to increase its ICT usage among individuals, business and government. The article confirms the improvements in productivity, efficiency, and technical change of the Indian Software industry from 1996 to 2006.

scholarly journals DETERMINANTS OF TECHNICAL EFFICIENCY AND TOTAL FACTOR PRODUCTIVITY CHANGE OF THE MANUFACTURING INDUSTRY IN EAST JAVA: EFFORTS TO INCREASE PERFORMANCE AND INDUSTRIAL COMPETITIVENESS

2018 ◽  
Vol 2 (1) ◽  
pp. 22-41
Author(s):  
Imroatul Amaliyah
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Malmquist Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Tobit Regression ◽  
Capital Labor Ratio ◽  
Manufacture Industry

This research aims to calculate and analyze the level of technical efficiency and total factor productivity change of manufacture industry, and to examine the factors that influence the value of technical efficiency of manufacture industry in East Java. The method used for this research is Data Envelopment Analysis (DEA) and Malmquist Index with Bootstrapping approach, and Tobit regression. This research used micro data from Indonesian Large and Medium-Scale Industry Survey within the year of 2007 to 2013. The results of this research are: (1) the estimated result of DEA with bootstrapping approach using output-oriented variable return to scale (VRS) assumption shows that the level of technical efficiency of manufacture industry in East Java has been not good enough and overall, it still has the potential to increase its output to reach an efficient condition; (2) the estimated result of Tobitregression demonstrates that the level of technical efficiency of the company is influenced by the company’s size, HHI, capital labor ratio, export and types of company ownership; (3) the estimated result of Malmquist Index with Bootstrapping approach shows that theaverage of total factor productivity change (TFPCH) of manufacture industry from 2007 to 2013 hasexhibited a positive change. The main factor that affects TFPCH, in order, are technological change, efficiency change, and efficiency scale change.

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