Environmental Efficiency Analysis of Bus Transport in Italy

2018 ◽  
pp. 24-45 ◽  
Author(s):  
Simona Alfiero ◽  
Massimo Cane ◽  
Ruggiero Doronzo ◽  
Alfredo Esposito
Keyword(s):  
Data Envelopment Analysis ◽  
Public Transport ◽  
Efficiency Analysis ◽  
Environmental Efficiency ◽  
Data Envelopment ◽  
Dynamic Changes ◽  
Analysis Technique ◽  
Urban Public Transport ◽  
Italian Context ◽  
Bus Transport

Urban public transport seeks the mobility of citizens within the municipal area, and it is a service whose importance is on the increase as a consequence of the ever more dynamic changes in life and work. This chapter analyzes companies that provided services for Italian cities in 2010, estimating the environmental efficiency for the service, using DEA (data envelopment analysis) technique. In the Italian context, both large enterprises and SMEs operate, and this study compares whether the differences in efficiency levels can be explained in terms of the type of company.

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.

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