scholarly journals Comparative Analysis of Production Possibility Frontier in Measuring Social Efficiency with Data Envelopment Analysis: An Application to Airports

2019 ◽  
Vol 11 (7) ◽  
pp. 2181 ◽  
Author(s):  
Yang ◽  
Na ◽  
Ha
Keyword(s):  
Environmental Sustainability ◽  
Efficiency Analysis ◽  
Aviation Industry ◽  
Undesirable Outputs ◽  
Social Efficiency ◽  
Production Possibility ◽  
Production Possibility Frontier ◽  
Weak Disposability ◽  
Proposed Model ◽  
Analysis Models

The environmental sustainability is a globally important issue, particularly in the global warming. There are many institutions and people who are interested in the greenhouse gases emissions issue and policies that attempt to improve the problem. The aviation industry is not an exception. Under this background, there has been much research on airport efficiency analysis, undesirable outputs, and on evaluating productivity with respect to environmental factors. In the efficiency analysis models with the undesirable outputs in the airports, there are two main types of production possibility frontiers. The first type is the frontier based on the Shephard technology, which involves a weak-disposability concept, using a single abatement factor. The second one is the frontier on the Lozano-Gutiérrez technology, which tries to take the weak disposability into account by regarding the undesirable outputs as input. However, they have limitations. Additionally, no study has provided how to apply weak disposability correctly. To find out the limitations and give standard to utilize weak disposability, we compare models with two issues that must be scrutinized. In this paper, we show that these two concepts have limitations in making the production possibility area. To overcome this limitation, we propose an undesirable-output model using multiple abatement factors based on weak disposability with the slack-based measure (SBM) approach. We analyze, comparatively, the different social efficiency performances according to two issues among the three approaches in estimating production possibility frontier, using the Shepard model, the Lozano-Gutierrez model, and our proposed model. To provide correct standard of measurement and apply characteristics of undesirable outputs, we study not only theoretically, but also empirically, with data from Korea’s 13 domestic airports.

Development of the digital economy and its impact on labour market

2020 ◽  
Vol 3 (3) ◽  
pp. 139-145
Author(s):  
Dilmurod Abdulloevich Nasimov
Keyword(s):  
Labour Market ◽  
Technological Progress ◽  
Positive Impact ◽  
Digital Economy ◽  
Production Possibility ◽  
Production Possibility Frontier ◽  
Factors Of Production

The article considers the effects of technology on the level and composition of employment. Technological progress, by increasing the productivity of factors of production, expands an economy’s production possibility frontier but also decreases the number of existing workplaces. So the aim of the paper to consider the opportunities to the positive impact of the ICT on the labour market.

The sustainability of urban renewal projects: a model for economic multi-criteria analysis

2017 ◽  
Vol 35 (4) ◽  
pp. 397-409 ◽  
Author(s):  
Antonio Nesticò ◽  
Francesco Sica
Keyword(s):  
Sustainable Development ◽  
Urban Renewal ◽  
Environmental Sustainability ◽  
Optimal Allocation ◽  
Content Type ◽  
The Sustainable Development ◽  
Compromise Solutions ◽  
Selection Processes ◽  
Proposed Model ◽  
Investment Programme

Purpose The decisions taken today relating to urban renewal interventions are rarely supported by logical and operational methodologies capable of effectively rationalising selection processes. For this purpose, it is necessary to propose and implement analysis models with the aim of promoting the sustainable development of the territory. The purpose of this paper is to define a model for the optimal allocation of scarce resources. Design/methodology/approach The Discrete Linear Programming (DLP) is used for selecting investments aimed at achieving financial, social, cultural and environmental sustainability. Findings The proposed model lends itself to the construction of investment plans on behalf of both types of decision makers, of both a public and a private nature. Research limitations/implications All projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences. Practical implications The model, written with A Mathematical Programming Language using DLP logics, is tested – case study – so as to define an investment programme finalised for urban renewal of a vast area. Social implications The proposed econometric model makes it possible to obtain the optimal combination of projects for urban renewal with a view to achieving the sustainable development of the territory. Originality/value Using the proposed model, all projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences.

On the computational complexity of cost efficiency analysis models

2007 ◽  
Vol 188 (1) ◽  
pp. 638-640 ◽  
Author(s):  
G.R. Jahanshahloo ◽  
M. Soleimani-damaneh ◽  
A. Mostafaee
Keyword(s):  
Computational Complexity ◽  
Cost Efficiency ◽  
Efficiency Analysis ◽  
Analysis Models

scholarly journals Assessment of mixed network processes with shared inputs and undesirable factors

2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Maryam Nematizadeh ◽  
Alireza Amirteimoori ◽  
Sohrab Kordrostami ◽  
Mohsen Vaez-Ghasemi
Keyword(s):  
Data Envelopment Analysis ◽  
Real World ◽  
Network Data ◽  
Data Envelopment ◽  
Parallel Section ◽  
Mixed Network ◽  
Weak Disposability ◽  
Proposed Model ◽  
Shared Inputs

In the real world, there are processes whose structures are like a parallel-series mixed network. Network data envelopment analysis (NDEA) is one of the appropriate methods for assessing the performance of processes with these structures. In the paper, mixed processes with two parallel and series components are considered, in which the first component or parallel section consists of the shared in-puts, and the second component or series section consists of undesirable factors. By considering the weak disposability assumption for undesirable factors, a DEA approach as based on network slack-based measure (NSBM) is introduced to evaluate the performance of processes with mixed structures. The proposed model is illustrated with a real case study. Then, the model is developed to discriminate efficient units.

scholarly journals A Range Adjusted Measure of Super-Efficiency in Integer-Valued Data Envelopment Analysis with Undesirable Outputs

2021 ◽  
Vol 9 (4) ◽  
pp. 378-398
Author(s):  
Chunhua Chen ◽  
Haohua Liu ◽  
Lijun Tang ◽  
Jianwei Ren
Keyword(s):  
Data Envelopment Analysis ◽  
Transportation Systems ◽  
Decision Makers ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Super Efficiency ◽  
Dea Model ◽  
Dea Models ◽  
Analysis Models ◽  
Transport Accidents

Abstract DEA (data envelopment analysis) models can be divided into two groups: Radial DEA and non-radial DEA, and the latter has higher discriminatory power than the former. The range adjusted measure (RAM) is an effective and widely used non-radial DEA approach. However, to the best of our knowledge, there is no literature on the integer-valued super-efficiency RAM-DEA model, especially when undesirable outputs are included. We first propose an integer-valued RAM-DEA model with undesirable outputs and then extend this model to an integer-valued super-efficiency RAM-DEA model with undesirable outputs. Compared with other DEA models, the two novel models have many advantages: 1) They are non-oriented and non-radial DEA models, which enable decision makers to simultaneously and non-proportionally improve inputs and outputs; 2) They can handle integer-valued variables and undesirable outputs, so the results obtained are more reliable; 3) The results can be easily obtained as it is based on linear programming; 4) The integer-valued super-efficiency RAM-DEA model with undesirable outputs can be used to accurately rank efficient DMUs. The proposed models are applied to evaluate the efficiency of China’s regional transportation systems (RTSs) considering the number of transport accidents (an undesirable output). The results help decision makers improve the performance of inefficient RTSs and analyze the strengths of efficient RTSs.

Production possibility frontier analysis of biodiesel from waste cooking oil

Energy Policy ◽  
2013 ◽  
Vol 55 ◽  
pp. 362-368 ◽  
Author(s):  
Shigemi Kagawa ◽  
Kanako Takezono ◽  
Sangwon Suh ◽  
Yuki Kudoh
Keyword(s):  
Waste Cooking Oil ◽  
Production Possibility ◽  
Frontier Analysis ◽  
Cooking Oil ◽  
Production Possibility Frontier

scholarly journals Robust optimal usage modeling of product systems for environmental sustainability

2018 ◽  
Vol 6 (3) ◽  
pp. 429-435 ◽  
Author(s):  
Jungmok Ma
Keyword(s):  
Life Cycle ◽  
Environmental Sustainability ◽  
Product Usage ◽  
Numerical Examples ◽  
Usage Phase ◽  
Multiple Products ◽  
Product Systems ◽  
Proposed Model ◽  
Sustainable Product ◽  
The Difference

Abstract Proper modeling of the usage phase in Life Cycle Assessment (LCA) is not only critical due to its high impact among life cycle phases but also challenging due to high variations and uncertainty. Furthermore, when multiple products can be utilized, the optimal product usage should be considered together. The robust optimal usage modeling is proposed in this paper as the framework of usage modeling for LCA with consideration of the uncertainty and optimal usage. The proposed method seeks to optimal product usage in order to minimize the environmental impact of the usage phase under uncertainty. Numerical examples demonstrate the application of the robust optimal usage modeling and the difference from the previous approaches. Highlights The robust optimal usage modeling is proposed for the usage modeling of LCA. The proposed model seeks to sustainable product usage under uncertainty. Numerical examples demonstrate the difference from the previous approaches.

scholarly journals Efficient verifiable fuzzy keyword search over encrypted data in cloud computing

2013 ◽  
Vol 10 (2) ◽  
pp. 667-684 ◽  
Author(s):  
Jianfeng Wang ◽  
Hua Ma ◽  
Qiang Tang ◽  
Jin Li ◽  
Hui Zhu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Keyword Search ◽  
Efficiency Analysis ◽  
Sensitive Data ◽  
Encrypted Data ◽  
Proposed Model ◽  
Cloud Server ◽  
Encryption Schemes ◽  
User Data ◽  
Fuzzy Keyword Search

As cloud computing becomes prevalent, more and more sensitive data is being centralized into the cloud by users. To maintain the confidentiality of sensitive user data against untrusted servers, the data should be encrypted before they are uploaded. However, this raises a new challenge for performing search over the encrypted data efficiently. Although the existing searchable encryption schemes allow a user to search the encrypted data with confidentiality, these solutions cannot support the verifiability of searching result. We argue that a cloud server may be selfish in order to save its computation ability or bandwidth. For example, it may execute only a fraction of the search and returns part of the searching result. In this paper, we propose a new verifiable fuzzy keyword search scheme based on the symbol-tree which not only supports the fuzzy keyword search, but also enjoys the verifiability of the searching result. Through rigorous security and efficiency analysis, we show that our proposed scheme is secure under the proposed model, while correctly and efficiently realizing the verifiable fuzzy keyword search. The extensive experimental results demonstrate the efficiency of the proposed scheme.

scholarly journals A Fuzzy Based Model for Standardized Sustainability Assessment of Photovoltaic Cells

2018 ◽  
Vol 10 (12) ◽  
pp. 4787 ◽  
Author(s):  
Muath Bani Salim ◽  
Dervis Emre Demirocak ◽  
Nael Barakat
Keyword(s):  
Fuzzy Logic ◽  
Environmental Sustainability ◽  
Life Cycle Analysis ◽  
Sustainability Assessment ◽  
Fuzzy Logic Algorithm ◽  
Multiple Factors ◽  
Proposed Model ◽  
Pv Cell ◽  
Relevant Factors ◽  
New Discovery

In this paper, a new environmental sustainability indicator (ESI) is proposed to evaluate photovoltaic (PV) cells utilizing Life Cycle Analysis (LCA) principles. The proposed indicator is based on a model that employs a fuzzy logic algorithm to combine multiple factors, usually used in multiple LCAs, and produce results allowing a comprehensive interpretation of LCA phase sub-results leading to standardized comparisons of various PV cells. Such comparisons would be essential for policymakers and PV cell manufacturers and users, as they allow for fair assessment of the environmental sustainability of a particular type of PV with multiple factors. The output of the proposed model was tested and verified against published information on LCAs related to PV cells. A distinct feature of this fuzzy logic model is its expandability, allowing more factors to be included in the future, as desired by the users, or dictated by a new discovery. It also provides a platform that can be used to evaluate other families of products. Moreover, standardizing the comparison process helps in improving the sustainability of PV cells through targeting individual relevant factors for changes while tracking the combined final impact of these changes on the overall environmental sustainability of the PV cell.

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