Efficiency analysis of world cement industry in presence of undesirable output: Application of data envelopment analysis and directional distance function

Energy Policy ◽  
2012 ◽  
Vol 44 ◽  
pp. 140-152 ◽  
Author(s):  
R. Riccardi ◽  
G. Oggioni ◽  
R. Toninelli
Keyword(s):  
Data Envelopment Analysis ◽  
Distance Function ◽  
Efficiency Analysis ◽  
Directional Distance Function ◽  
Cement Industry ◽  
Data Envelopment ◽  
Undesirable Output

scholarly journals MEASUREMENT OF EFFICIENCY OF DIDACTIC ACTIVITIES OF PUBLIC UNIVERSITIES OF TECHNOLOGY IN POLAND: DIRECTIONAL DISTANCE FUNCTION WITH UNDESIRABLE OUTPUT APPROACH

2020 ◽  
Vol 18 (1) ◽  
pp. 73-87
Author(s):  
Łukasz Brzezicki ◽  
Robert Rusielik
Keyword(s):  
Distance Function ◽  
Public Universities ◽  
Dropout Rate ◽  
Directional Distance Function ◽  
Data Envelopment ◽  
Undesirable Output ◽  
Parametric Data ◽  
Dea Models ◽  
Practical Implications ◽  
Negative Output

Purpose – The conducted research aimed at estimating the technical efficiency of didactic activity in the group of universities of technology in Poland using the non-parametric Data Envelopment Analysis (DEA) method. Research methodology – The measurement was based on the model of directional distance function with undesirable output under variable return-to-scale and output-oriented (DDF BadOutput-V-O). Findings – The research allowed to group universities in 2010 and 2015 into three categories, i.e. efficient universities and universities above and below the average efficiency. It has been shown that it is justified to use alternative models of efficiency measurement covering different perspectives. The application of the model from a financial and employment perspective showed significant differences in performance levels in some cases. Research limitations – This study only looks at universities of technology, so the future study should be extended to other universities and compare efficiency of higher education with the level of study effectiveness (dropout rate education, graduation rates). Practical implications – The use of the DDF model with undesirable output allowed to obtain results closer to the actual conditions of teaching in public universities than in the case of using classic DEA models, wich only take the desired output into accoount. Originality/Value – The originality of the work lies in the use of a more general and flexible DDF approach than the classical DEA models, which made it possible to estimate the efficiency of universities taking into account the desirable (positive) and undesirable (negative) output.

scholarly journals Race for foreign direct investment

2015 ◽  
Author(s):  
Ευθύμιος Νικολόπουλος
Keyword(s):  
Foreign Direct Investment ◽  
Data Envelopment Analysis ◽  
Distance Function ◽  
Direct Investment ◽  
Directional Distance Function ◽  
Data Envelopment ◽  
Super Efficiency ◽  
Efficiency Data

Η συγκριμένη διατριβή ερευνά την αποδοτικότητα και τη συγκριτική θέση των χωρών όσον αφορά τις Άμεσες Ξένες Επενδύσεις (ΑΞΕ). Οι προσεγγίσεις και η μεθοδολογία είναι καινοτόμες και αναφέρονται σε θέματα τα οποία δεν έχουν ερευνηθεί ικανοποιητικά. Συγκεκριμένα η διατριβή αποδεικνύει ότι η δημιουργία της Οικονομικής Νομισματικής Ένωσης (ΟΝΕ) είχε μικτά αποτελέσματα όσον αφορά τις εισροές των ΑΞΕ ανάμεσα στις χώρες μέλη, με θετική σχέση για τις «χώρες του πυρήνα της ένωσης» και αρνητική σχέση για τις χώρες τις περιφέρειας. Επιπλέον όσον αφορά την Ελλάδα, δημιουργήθηκε ένα συγκριτικός δείκτης ελκυστικότητας Άμεσων Ξένων Επενδύσεων (οι βαρύτητες υπολογίστηκαν με βάση ερωτηματολόγιο το οποίο συμπλήρωσαν ξένοι επενδυτές), ο οποίος προσφέρει σημαντική πληροφόρηση προκειμένου να σχεδιαστούν αντίστοιχες παρεμβάσεις/ στρατηγική. Επίσης υπολογίστηκε ένας δείκτης Αποδοτικότητας Άμεσων Ξένων Επενδύσεων ο οποίος είναι ένας νέος καινοτόμος δείκτης, χρήσιμος για την ανάλυση των Άμεσων Ξένων Επενδύσεων μίας χώρας. Το μοντέλο που χρησιμοποιήθηκε για το δείκτη Αποδοτικότητας Άμεσων Ξένων Επενδύσεων είναι ένα Generalized directional distance function σε συνδυασμό με super-efficiency Data Envelopment Analysis, το οποίο επιτρέπει τον υπολογισμό στόχου όσον αφορά το δυνητικό FDI, τόσο σε απόλυτους όρους όσο και σε όρους σχετικής απόδοσης.

scholarly journals Performance Ranking Method Based on Superefficiency with Directional Distance Function in DEA

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Jing Tang ◽  
Jianzhong Liu ◽  
Jianghua Chen ◽  
Fangqing Wei
Keyword(s):  
Data Envelopment Analysis ◽  
Distance Function ◽  
Directional Distance Function ◽  
Ranking Method ◽  
Distance Functions ◽  
Data Envelopment ◽  
Production Possibility ◽  
Recent Developments ◽  
Production Possibility Set ◽  
Performance Ranking

In data envelopment analysis (DEA) methodology, superefficiency models eliminate the DMU to be evaluated from the production possibility set (PPS) to investigate whether its performance is superefficient. However, the infeasibility has been found in the superefficiency models when variable return-to-scale (VRS) technology is assumed. In recent developments, directional distance functions (DDF) are introduced into VRS superefficiency models to address the infeasibility, and the obtained efficiency scores from the DDF-based VRS superefficiency measure are used to rank all DMUs. In this study, we discuss conditions on selecting some proper reference bundles for feasible DDF and suggest a new DDF-based VRS superefficiency measure, which is unit-invariant and does not need to specify additional parameters. Two example illustrations are evaluated to demonstrate the feasibility and usefulness of our proposed DDF-based VRS superefficiency ranking method.

Expected efficiency based on directional distance function in data envelopment analysis

2018 ◽  
Vol 125 ◽  
pp. 33-45 ◽  
Author(s):  
Feng Yang ◽  
Fangqing Wei ◽  
Yongjun Li ◽  
Ying Huang ◽  
Yao Chen
Keyword(s):  
Data Envelopment Analysis ◽  
Distance Function ◽  
Directional Distance Function ◽  
Data Envelopment

scholarly journals Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis

2021 ◽  
Vol 18 (5) ◽  
pp. 2219
Author(s):  
Matthias Klumpp ◽  
Dominic Loske
Keyword(s):  
Data Envelopment Analysis ◽  
Time Series Data ◽  
Malmquist Index ◽  
Developed Countries ◽  
Efficiency Analysis ◽  
Humanitarian Logistics ◽  
Series Data ◽  
Data Envelopment ◽  
Least Developed Countries ◽  
Window Analysis

Although resources are scarce and outputs incorporate the potential to save human lives, efficiency measurement endeavors with data envelopment analysis (DEA) methods are not yet commonplace in the research and practice of non-government organizations (NGO) and states involved in humanitarian logistics. We present a boot-strapped DEA window analysis and Malmquist index application as a methodological state of the art for a multi-input and multi-output efficiency analysis and discuss specific adaptions to typical core challenges in humanitarian logistics. A characteristic feature of humanitarian operations is the fact that a multitude of organizations are involved on at least two levels, national and supra-national, as well as in two sectors, private NGO and government agencies. This is modeled and implemented in an international empirical analysis: First, a comprehensive dataset from the 34 least developed countries in Africa from 2002 to 2015 is applied for the first time in such a DEA Malmquist index efficiency analysis setting regarding the national state actor level. Second, an analysis of different sections in a Rohingya refugee camp in Bangladesh is analyzed based on a bootstrapped DEA with window analysis application for 2017, 2018, and 2019 quarter data regarding the private NGO level of operations in humanitarian logistics.

scholarly journals PENGUKURAN EFISIENSI AGROINDUSTRI PANGAN LOKAL ENBAL DENGAN PENDEKATAN DATA ENVELOPMENT ANALYSIS

2017 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Natelda R Timisela ◽  
Ester D Leatemia ◽  
Febby J Polnaya ◽  
Rachel Breemer
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Production Cost ◽  
Efficiency Analysis ◽  
The Other ◽  
Data Envelopment ◽  
Sago Starch ◽  
Good Efficiency ◽  
Business Efficiency ◽  
Production Increase

The current research aimed to analyze the relative efficiency level of enbal (sago starch) agro-industries. The relative efficiency analysis on 32 DMUs of enbal agro-industries showed that 40,63% of the industries were efficient and 59.38% were inefficient. Every efficient DMU became the reference for the inefficient DMUs based on the suggested quality. Each DMU of the enbal agro-industries has not reached a good efficiency level, which was indicated by the average relative efficiency scale of 0.886. This was a relatively low value, and improvements on the use of production input were needed. The analysis result on the DMUs of the enbal agro-industries which were on constant return to scale position were 40,62%. This showed that enbal agro-industries actors have applied production input efficiently, for the production increase was equal to the use of input. In other words, the use of input was more proportional. The DMUs of enbal agro-industries which were on decreasing return to scale position were 15,63%. This showed that the use of production input had been unsuitable so that the output decreases and the production cost increased. Meanwhile, the DMUs that were on increasing return to scale position were 43,75%. This showed that the industry actors who used certain production input would create efficient DMUs. On the other hand, the input excess would possibly decrease the output. As a result, the industry actors should be concerned about the use of production input in order to establish business efficiency.

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