scholarly journals Which Green Transport Corridors (GTC) Are Efficient? A Dual-Step Approach Using Network Equilibrium Model (NEM) and Data Envelopment Analysis (DEA)

2021 ◽  
Vol 9 (3) ◽  
pp. 247
Author(s):  
Paulo Nocera Alves Junior ◽  
Isotilia Costa Melo ◽  
José Eduardo Holler Branco ◽  
Daniela Bacchi Bartholomeu ◽  
José Vicente Caixeta-Filho
Keyword(s):  
Data Envelopment Analysis ◽  
Equilibrium Model ◽  
Composite Index ◽  
Network Equilibrium ◽  
Data Envelopment ◽  
Long Distance ◽  
Sustainable Solutions ◽  
The North ◽  
Infrastructure Investments ◽  
Harvest Year

The development of Green Transport Corridors (GTCs) is an important strategy to help a region achieve more sustainable solutions. When such GTCs are implemented, multimodal supply chains and environmentally-friendly alternatives for freight transportation through economically relevant hubs and long-distance routes can be facilitated. Based on previous efforts for evaluating single routes, this paper aimed to propose a single multi-criteria Logistics Composite Index (LCI), constructed based on a set of Key Performance Indicators (KPIs), to evaluate the efficiency of GTCs considering the integration of multiple transport modes (highways, railways, and waterways). This approach consists of a dual-step procedure, applying a Network Equilibrium Model (NEM) and Data Envelopment Analysis (DEA). It was applied to Brazilian agricultural bulk transport export corridors, considering the existing and planned infrastructure in the harvest year of 2018/2019. In general, the best indexes were those from corridors considering planned railways. Specifically, the best index was from a corridor from the Northeast region. The second was from the South. The third was from the North (Amazon), and was one of the few corridors with adequate waterways. This approach is useful for decision-makers to determine the most efficient corridors as well as for policy-makers to guide infrastructure investments and address public policies.

scholarly journals Benchmarking freight transportation corridors and routes with data envelopment analysis (DEA)

2018 ◽  
Vol 25 (2) ◽  
pp. 713-742 ◽  
Author(s):  
Isotilia Costa Melo ◽  
Paulo Nocera Alves Junior ◽  
Ana Elisa Perico ◽  
Maria Gabriela Serrano Guzman ◽  
Daisy Aparecida do Nascimento Rebelatto
Keyword(s):  
Data Envelopment Analysis ◽  
Design Methodology ◽  
Composite Index ◽  
Freight Transportation ◽  
Principal Component ◽  
Data Envelopment ◽  
Long Distance ◽  
Content Type ◽  
Inland Waterway ◽  
Infrastructure Investments

Purpose The purpose of this paper is to collectively measure and compare the efficiency of Brazilian and American soybean transport corridors, from farmers to export ports, using the data envelopment analysis (DEA). Design/methodology/approach This paper aims to determine routes from main producing micro-regions to main export ports, specifically using slack-based measure and variables that represent the three pillars of sustainability (economic, social, and environmental). The choice of variables was guided by literature review and analyzed through the principal component analysis. After the application of the model, the quantitative tiebreaking method of the composite index is applied. Findings The findings are coherent with a global report that compares soybean transportation in both countries (Brazil and USA). Efficient routes and corridors tend to present short distance truck trips and long distance train or barge trips. The efficiency of the inland waterway trips depends on how many barges are used in the same expedition. Routes with more than three modes tend to be inefficient which suggest that there is a limit for multimodality. Originality/value Corridor benchmarking is a rare topic in the literature and previous works normally focus on some specific and limited corridor performance characteristics, such as cost. The main contribution of this research is that it expands the discussion regarding corridor benchmarking and it focuses on efficiency as a whole. The paper also proposes a method that can be applied in different logistics contexts, like expanding the study to different countries. More specifically, this method could be used in infrastructure investments programs.

Research Governance in Public University: Proposal of a Composite Index

2021 ◽  
pp. 002205742110325
Author(s):  
Driss El Kadiri Boutchich
Keyword(s):  
Data Envelopment Analysis ◽  
Strategic Management ◽  
Geometric Mean ◽  
Composite Index ◽  
Organizational Management ◽  
Public University ◽  
Research Governance ◽  
Data Envelopment

This work aims to elaborate a governance composite index for research laboratories in public university. This index is composed by an indicator of responsible liberalism associating effectiveness and ethics, to which are added an organizational management indicator and a strategic management indicator. To achieve the above aim, several methods are used, such as adjusted data envelopment analysis and geometric mean to aggregate indicators to calculate the composite index, Vigier index to compute responsible liberalism indicator, and tools to measure the validity and the reliability of indicators. The findings show that the developed index can be applied in any context.

scholarly journals Relative deficit of health services in Brazilian states and regions

2004 ◽  
Vol 24 (1) ◽  
pp. 75 ◽  
Author(s):  
Carlos Eduardo Gasparini ◽  
Francisco S. Ramos
Keyword(s):  
Data Envelopment Analysis ◽  
Health Services ◽  
Service Availability ◽  
Data Envelopment ◽  
Constitutional Rule ◽  
The South ◽  
Public Action ◽  
The North ◽  
Equality Of Access

The paper analyzes the allocation of health services to Brazilian states and regions. A relative service deficit indicator is constructed to achieve that goal, using equity-based criteria, which means equality of access for equal need. The Data Envelopment Analysis (DEA) is used to estimate the best service availability frontier for equal need. The results show great differences in the availability of health services among Brazilian states and regions. In regional terms, the situation of the South is the best one, whereas the North experiences the worst deficit of health services. These disparities highlight the importance of deficit assessment as an instrument to guide public action, especially in the Brazilian context, where the coverage and availability of health services is a constitutional rule.

scholarly journals An Empirical Estimation of Asia's Untapped Regional Integration Potential Using Data Envelopment Analysis

2015 ◽  
Vol 32 (2) ◽  
pp. 178-195 ◽  
Author(s):  
Dominik Naeher
Keyword(s):  
Data Envelopment Analysis ◽  
Regional Integration ◽  
Composite Index ◽  
Second Step ◽  
Data Envelopment ◽  
Empirical Estimation ◽  
Output Variable ◽  
Multiple Dimensions ◽  
The World ◽  
Using Data

This paper uses bilateral flow data on multiple dimensions of economic integration to construct a composite index of regional integration outcomes covering 19 regions in various parts of the world. As a first step, the multidimensional indicator is used to rank regions according to their current degree of regional integration, which allows for a direct comparison of Asia's regional integration performance with those of other regions of the world. As a second step, the constructed indicator of regional integration outcomes is used as the output variable in a data envelopment analysis to estimate Asia's untapped regional integration potential.

scholarly journals DEA WINDOW ANALYSIS FOR INDONESIAN ISLAMIC BANKS’ EFFICIENCY

2021 ◽  
Vol 7 (4) ◽  
Author(s):  
Aam Slamet Rusydiana ◽  
Aisyah As-Salafiyah
Keyword(s):  
Data Envelopment Analysis ◽  
Standard Deviation ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Long Distance ◽  
Window Analysis ◽  
Increasing Trend ◽  
Using Data ◽  
Dea Window Analysis

This study measures the efficiency of Islamic banks in Indonesia using Data Envelopment Analysis (DEA) window methods for 14 Indonesia’s Islamic banks covering the period spanning from 2011 to 2020.. The results show that the efficiency of Islamic banks   averages 80% and exhibits increasing trend over the period 2011-2020.  Based on stability measures, which are standard deviation (SD), Long Distance per Window (LDW), Long Distance per Period (LDP), and Long Distance per Year (LDY), we find the efficiency of PT Bank BRI Syariah (BSI) and PT Bank Syariah Mandiri (BSI) to be relatively stable.

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