scholarly journals Efficiency in European football teams using WindowDEA: analysis and evolution

2018 ◽  
Vol 67 (9) ◽  
pp. 2126-2148
Author(s):  
Lucía Isabel García-Cebrián ◽  
Fabíola Zambom-Ferraresi ◽  
Fernando Lera-López
Keyword(s):  
Panel Data ◽  
Design Methodology ◽  
Temporal Trend ◽  
Data Envelopment ◽  
Accurate Data ◽  
Content Type ◽  
Research Procedure ◽  
European Football ◽  
Low Efficiency ◽  
Practical Implications

Purpose The purpose of this paper is to analyze efficiency and its evolution in teams that played in the UEFA Champions League during nine seasons. The aim is to present a research procedure for determining the most accurate data envelopment analysis to estimate and compare the efficiency. Design/methodology/approach First, the authors analyzed the existence of a temporal trend using the S-statistic. The authors calculated the Kruskal–Wallis statistic to verify if there is stability in relative ranks. The results of the aforementioned tests have indicated that window analysis is an accurate methodology to apply to the sample. The authors analyzed 94 clubs with a sample of 288 observations, obtaining 768 efficiency ratios. They have been calculated using super-efficiency which enables to discriminate efficient units. Findings Results indicate that there is a low efficiency level in the nine seasons observed. There is a strong correlation between sports results and the efficiency of semifinalists. The authors conclude that improvement in a club’s efficiency could enhance its sports results. Finally, as practical implications, the authors highlight benchmark teams and alternative sports tactics to help clubs become more efficient and achieve better sports results. Originality/value This paper contributes to sports efficiency literature by presenting a research procedure to identify the most accurate methodology to be applied to panel data. To the best of the authors’ knowledge, this paper is the first empirical study on international football competitions applying WindowDEA to incomplete panel data.

Efficiency analysis of viticulture systems in the Portuguese Douro region

2020 ◽  
Vol 32 (4) ◽  
pp. 573-591
Author(s):  
Micael Queiroga dos Santos ◽  
Xosé A. Rodríguez ◽  
Ana Marta-Costa
Keyword(s):  
Design Methodology ◽  
Production Systems ◽  
Efficiency Analysis ◽  
Data Envelopment ◽  
Content Type ◽  
Face To Face ◽  
Bootstrap Techniques ◽  
Specific Input ◽  
Low Efficiency ◽  
Output Information

Purpose The purpose of this paper is to estimate and analyse the technical efficiency (TE) component of productivity for a sample of winegrowers from the Douro Demarcated Region in Portugal. Design/methodology/approach The data were collected through face-to-face surveys and includes a sample of 110 farmers’ vineyards with specific input-output information and other data about production systems during the year of 2017. The authors use a two-stage data envelopment analysis using bootstrap techniques to obtain TE scores in the farmers’ vineyards and to examine the determinants of its efficiency. Findings The results show that some farmers’ vineyards have a low efficiency level and that there are essential determinants of the production system, which can influence its efficiency. This suggests considerable opportunities for improvement of wine grape productivity through better use of available resources considering the state of technology. Originality/value This work has overcome the lack of data in the farmers’ vineyards, the lack of efficiency studies in the region and also allowed to evaluate the production systems and to assess their impact on efficiency.

Does housing market impair employment in The Czech Republic?

2015 ◽  
Vol 8 (3) ◽  
pp. 318-334 ◽  
Author(s):  
Martin Konecný ◽  
Dominik Stroukal
Keyword(s):  
Czech Republic ◽  
Panel Data ◽  
Design Methodology ◽  
Detrimental Effect ◽  
Western World ◽  
The Czech Republic ◽  
Content Type ◽  
Negative Effect ◽  
Building Societies ◽  
Practical Implications

Purpose – The main aim of this paper is to find whether homeownership can have detrimental effect on employment in The Czech Republic. Design/methodology/approach – Oswald’s conjecture is tested on the set of panel data across Czech regions between the years of 2005 and 2012. Findings – By testing a model similar to Oswald’s, this paper receives the similar result that the rate of homeownership leads to higher rate of unemployment in following years. The second model tested in the paper does not support previous findings that regional rate of homeownership has negative effect on individual’s probability of being unemployed. Research limitations/implications – Findings of this paper are valid only for The Czech Republic. Possible refinements to the model are presented as inspiration for further research. Practical implications – Results bring a powerful argument into debate about subsidization of homeowners through building societies. Originality/value – This paper is a first examination of Oswald’s hypothesis in The Czech Republic. It opens a debate about whether Oswald’s conjecture holds outside of the Western world.

The impact of smart specialization strategies on sub-cluster efficiency: simulation exercise for the case of Mexico

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Viviana Elizabeth Zárate-Mirón ◽  
Rosina Moreno Serrano
Keyword(s):  
Design Methodology ◽  
Data Envelopment ◽  
Content Type ◽  
Smart Specialization ◽  
Cluster Efficiency ◽  
Technological Intensity ◽  
The Impact ◽  
Practical Implications ◽  
Different Levels

Purpose This paper aims to evaluate whether the integration of smart specialization strategies (S3) into clusters significantly impacts their efficiency for countries that still do not implement this policy. This study tests three effects: whether the kind of policies envisaged through an S3 strategy impacts cluster’s efficiency; whether this impact changes with the technological intensity of the clusters; to determine which S3 is more suitable for sub-clusters at different levels of technological intensity. Design/methodology/approach The Mexican economy is taken as case of study because it has a proper classification of its industries intro Porter’s cluster’s definition but still does not adopt the S3 policy. Through data envelopment analysis (DEA), this study evaluates the cluster’s efficiency increment when variables representing the S3 elements are included. Findings The results show that strategies following the S3 had a significant impact in all clusters, but when clusters were classified by technological intensity, the impact on efficiency is higher in clusters in the medium low-tech group. Practical implications According to the results in the DEA, it can be concluded that these S3 strategies have the potential to increase the clusters’ productivity significantly. These results make convenient the adoption of the S3 policy by countries that already count with a properly cluster definition. Originality/value These findings contribute to the lack of studies that analyze the join implementation of S3 on clusters.

How the peer-to-peer market for tourist accommodation has responded to COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Beatriz Benítez-Aurioles
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Design Methodology ◽  
Peer To Peer ◽  
Content Type ◽  
Public Managers ◽  
Before And After ◽  
Tourist Accommodation ◽  
The Impact ◽  
Practical Implications

Purpose This study aims to analyze the COVID-19 pandemic’s impact on the peer-to-peer (p2p) market for tourist accommodation. Design/methodology/approach Using monthly panel data from Airbnb listings in 22 cities worldwide, the authors run a differences-in-differences analysis comparing the period of February–October 2020 to the previous year. Findings Besides a decline in accommodation supply, the pandemic made prices and demand fall in all cities significantly, after controlling for room characteristics, host traits, booking policies and individual fixed effects. There is also evidence of an alteration of the influence on prices of certain variables such as superhost and instant booking. Research limitations/implications The main limitations are related to the reference spatial and temporal environment. Besides, the samples are limited to listings that stayed before and after the pandemic; therefore, it is possible that the real effect on review growth and/or prices is actually more negative. Practical implications The analysis performed shows a scenario that represents an opportunity for public managers to test more imaginative regulations that overcome the limitations of those implemented so far. Likewise, hosts who aspire to make their accommodations profitable must adapt to the conditions imposed by the economic environment of the cities in which they operate. Originality/value This is the first study to econometrically estimate the impact of COVID-19 on prices in the p2p market for tourist accommodation in a set of cities worldwide.

Benchmarking of best practices: an overview of the academic literature

2017 ◽  
Vol 24 (3) ◽  
pp. 750-774 ◽  
Author(s):  
Vinicius Ferreira de Castro ◽  
Enzo Morosini Frazzon
Keyword(s):  
Best Practices ◽  
Design Methodology ◽  
Past Research ◽  
Research Field ◽  
Data Envelopment ◽  
Content Type ◽  
Pagerank Algorithm ◽  
Academic Literature ◽  
The Past ◽  
Practical Implications

Purpose The purpose of this paper is to overview the academic literature on benchmarking of best practices tracking the most important articles and understanding the similarity between studies. Design/methodology/approach The most relevant articles were identified using techniques such as the PageRank algorithm and co-citation maps. An analysis of the most relevant articles presents the main concepts, methods and updated discussions on this research field. Findings The analysis of academic output substantiates the increase in the production of articles on this research topic. There were identified two main clusters of co-cited articles, one related to data envelopment analysis (DEA) and other that presents a wide variation of methods for benchmarking. There are important critiques towards the past research on benchmarking of best practices, yet, new DEA approaches seem to address most of the criticized issues. Practical implications From time to time, a review of the literature of a certain field of knowledge is useful for other researchers to identify and organize its main theories, new trends, most relevant works, influent authors and important publications. Originality/value This paper delivers two important values: the updated discussion on benchmarking of best practices, clearing both DEA and non-DEA studies; and the methods adopted to systematically review the literature, which is original on this field of research.

An evaluation of input and output of expert systems for selection of material handling equipment

2014 ◽  
Vol 25 (7) ◽  
pp. 1049-1067 ◽  
Author(s):  
Mohsen M.D. Hassan
Keyword(s):  
Expert Systems ◽  
Design Methodology ◽  
Material Handling ◽  
Data Envelopment ◽  
Content Type ◽  
Input And Output ◽  
The Right ◽  
Practical Implications ◽  
Selection Of ◽  
The Ideal

Purpose – The purpose of this paper is to evaluate expert systems (ES) for selection of material handling (MH) equipment on their use of information and generation of equipment, and provide guidelines that can enhance developing them in the future. Design/methodology/approach – Data envelopment analysis (DEA) is used to evaluate efficiency of ES on their use of information and generation of equipment. Characteristics of benchmark ES are identified to serve as guidelines in developing future ES. Findings – Results of DEA indicate that most ES use a large amount of information that does not commensurate with the number and variety of equipment they generate. Research limitations/implications – The ideal MH equipment for a situation is not known whether it is selected by ES or other procedures. Therefore, this study focusses on efficiency of ES in using information to generate MH equipment without regard to whether ES produce the right equipment for a situation or not. Practical implications – Developers of future ES should consider the efficiency of an ES in using information and generation of equipment, in addition to considering its functions and methodologies. They should utilize means similar to those employed by benchmark methodologies and other ones that can be thought of to economize information and generate more number and variety of equipment, and thus render ES more useful to facility designers and manufacturing managers. Originality/value – The paper presents the first evaluation of ES for selection of MH equipment. The evaluation performed should enhance development of future ES in this field, and can be extended to ES in other application domains.

School externalities and scholastic performance: an efficiency analysis

2019 ◽  
Vol 40 (1) ◽  
pp. 102-119 ◽  
Author(s):  
Joseph Deutsch ◽  
Audrey Dumas ◽  
Jacques Silber
Keyword(s):  
Peer Effects ◽  
Design Methodology ◽  
Efficiency Analysis ◽  
Policy Implications ◽  
Data Envelopment ◽  
Education Policies ◽  
Content Type ◽  
Scholastic Performance ◽  
Available Information ◽  
Practical Implications

Purpose The purpose of this paper is to analyze the determinants of scholastic performance using an efficiency analysis perspective. Design/methodology/approach The authors apply data envelopment analysis (DEA) at the pupil level using the 2009 PISA survey in Azerbaijan. Before applying DEA with multiple outputs, this paper integrates the maximum amount of available information on inputs via the use of correspondence analysis. Findings The results show that scholastic efficiency depends positively on the externalities due to the resources of the school and to a peer effect. The analysis of the determinants of these externalities shows how they influence scholastic performance and has some policy implications. Practical implications Education policies should promote the resource externality, because its effect is more homogeneous among pupils. The mechanisms generating school externalities should be taken into consideration by educational authorities, when allocating resources to school and should give some guidelines about how to use these resources and how to manage a school in order to promote peer effects externalities. Originality/value The authors distinguish various sources of efficiency: that of the pupil and that due to school externalities operating via resources and peer effects. The authors relate the efficiency due to school externalities to individual, family and school characteristics.

Data envelopment analysis with interactive variables

2015 ◽  
Vol 53 (10) ◽  
pp. 2390-2406 ◽  
Author(s):  
Aibing Ji ◽  
Hui Liu ◽  
Hong-jie Qiu ◽  
Haobo Lin
Keyword(s):  
Data Envelopment Analysis ◽  
Special Form ◽  
Design Methodology ◽  
Data Envelopment ◽  
Content Type ◽  
Dea Model ◽  
Proposed Model ◽  
Choquet Integrals ◽  
Practical Implications ◽  
Decision Making Units

Purpose – The purpose of this paper is to build a novel data envelopment analysis (DEA) model to evaluate the efficiencies of decision making units (DMUs). Design/methodology/approach – Using the Choquet integrals as aggregating tool, the authors give a novel DEA model to evaluate the efficiencies of DMUs. Findings – It extends DEA model to evaluate the DMU with interactive variables (inputs or outputs), the classical DEA model is a special form. At last, the authors use the numerical examples to illustrate the performance of the proposed model. Practical implications – The proposed DEA model can be used to evaluate the efficiency of the DMUs with multiple interactive inputs and outputs. Originality/value – This paper introduce a new DEA model to evaluate the DMU with interactive variables (inputs or outputs), the classical DEA model is a special form.

Estimating contractors’ efficiency with panel data

2014 ◽  
Vol 14 (3) ◽  
pp. 274-291 ◽  
Author(s):  
Yat Hung Chiang ◽  
Eddie W.L. Cheng
Keyword(s):  
Construction Industry ◽  
Technical Efficiency ◽  
Design Methodology ◽  
Data Envelopment ◽  
Content Type ◽  
The Past ◽  
Literature Base ◽  
Output Side ◽  
Dea Method ◽  
Practical Implications

Purpose – This paper aims to explore the use of the data envelopment analysis (DEA), Cobb-Douglas and translog production function methods in estimating contractors’ efficiency. Design/methodology/approach – In this paper, the DEA, translog and Cobb-Douglas methods were used to estimate the technical efficiency of 23 contractors in Hong Kong from 2003 to 2009. For this research, four input and three output variables were identified. Findings – The results suggest that the efficiency scores obtained from the DEA method were significantly different from those obtained from the translog and Cobb-Douglas methods, while the efficiency scores from the translog method were similar to those from the Cobb-Douglas method. The DEA method further reveals that the company had poor utilisation of its resources over the past few years. On the output side, the current ratio was too small, implying that the company suffered from excess current liabilities relative to its current assets. Research limitations/implications – Application of efficiency measurement in the built environment is still in its infancy. The current research, therefore, calls for more research to be undertaken to establish the applied literature base for the construction industry. Practical implications – The DEA method helps the inefficient company explore ways to improve the utilisation of the inputs as well as the process and to maximise the outputs. Originality/value – Knowing the relative performance of contractors helps understand their competitiveness in the construction industry. By estimating their technical efficiency, contractors can improve the conditions for enhancing performance.

Evaluating managerial efficiency of petrochemical firms in Saudi Arabia

2017 ◽  
Vol 24 (1) ◽  
pp. 244-256
Author(s):  
Mohammad Hanif Akhtar ◽  
Muhammad Asif
Keyword(s):  
Saudi Arabia ◽  
Design Methodology ◽  
Economies Of Scale ◽  
Data Envelopment ◽  
Kingdom Of Saudi Arabia ◽  
Content Type ◽  
Managerial Efficiency ◽  
Original Contribution ◽  
Practical Implications ◽  
Insight Into

Purpose The purpose of this paper is to examine managerial efficiency of the whole population of petrochemical firms in the Kingdom of Saudi Arabia (KSA). It also identifies the root causes of inefficiencies and proposes measures to overcome these. Design/methodology/approach The paper uses the data envelopment analysis approach to measure the managerial efficiency in context of various returns-to-scales. To glean further insights into the sources of inefficiency, the study investigates the extent of utilization of resources by comparing target inputs vis-à-vis the actual inputs used. This provides the authors information about the degree of underutilization of resources as well as an insight into the sources of inefficiency, e.g., those stemming from the managerial or scale of operations. Findings The findings reveal a great amount of inefficiencies in Saudi petrochemical sector. These inefficiencies arise from both the underutilization of resources as well as the inability of petrochemical firms to run their operations at optimal scales. Practical implications The findings of the study allude toward measures that managers might adopt to overcome the issues of inefficiency. They ought to ensure better utilization of resources by running operations of the firms at optimal scales of production. The firms operating under the sub-optimum scales of operations need to revisit their marketing and production strategies. These might take up the form of boosting marketing efforts to win more orders from customers and increasing production volumes that could allow these firms to take advantage of economies of scale. Originality/value This paper is a first attempt to measure efficiency of petrochemical sector in KSA which stands as the key contributor to the national exchequer. Since the study consists of the whole population of petrochemical firms in KSA, it measures the “true” managerial efficiency of petrochemical firms in the sector. Further, being a pioneer study on managerial efficiency of petrochemical sector, it extends original contribution to the literature on efficiency of firms, combined with rich insights into sources of inefficiencies.

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