Uniformization of frontiers in non-radial ZSG-DEA models: an application to airport revenues

Fonseca, Aline Bandeira de Mello; Mello, João Carlos Correia Baptista Soares de; Gomes, Eliane Gonçalves; Meza, Lídia Ângulo

doi:10.1590/s0101-74382010000100009

Cited by 21 publications

(6 citation statements)

References 39 publications

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“…Examples of such studies include Gomes and Lins (2008), Hu and Fang (2010), Fonseca et al (2010), and Sun et al (2012). With the increasing attention on reducing CO 2 emissions, several researchers, e.g.…”

Section: Model Developmentmentioning

confidence: 99%

Efficient allocation of CO 2 emissions in China: a zero sum gains data envelopment model

Zhang

Geng

Sheng

2016

Journal of Cleaner Production

132

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Section: Model Developmentmentioning

confidence: 99%

Efficient allocation of CO 2 emissions in China: a zero sum gains data envelopment model

Zhang

Geng

Sheng

2016

Journal of Cleaner Production

132

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“…Managerial efficiency in logistics could be easily understood as the systematical pursuit of doing more with less and less, until you are doing everything with nothing (Bowersox and Closs, 1996). Although DEA has already been satisfactorily employed in other segments that are logistics-related -such as third-party logistics (Min and Joo, 2006;Hamdan and Rogers, 2007;Senra et al, 2007;Zhou et al, 2008;Wanke and Affonso, 2011), airline industry (Schefczyk, 1993), airports (Pacheco and Fernandes, 2003;Barros et al, 2010;Fonseca et al, 2010;Silveira et al, 2012;Wanke, 2012a, b), road passenger transport (Odeck and Alkadi, 2001;Novaes et al, 2010), container terminals (Wang et al, 2002;Turner et al, 2004;Min and Park, 2005; -studies that discuss the application of DEA in the trucking industry are scarce; they are discussed next.…”

Section: Efficiency In the Trucking Industrymentioning

confidence: 99%

Efficiency drivers in the Brazilian trucking industry: a longitudinal study from 2002-2010

F. Wanke

2014

International Journal of Physical Distribution &Amp; Logistics Management

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Purpose – The purpose of this paper is to investigate the issue of efficiency in the Brazilian motor carrier industry, which has undergone significant transformations since the economy deregulation in the mid-1990s. The main research objective is to determine whether or not different types of cargoes and geographic regions serviced significantly impact trucking managerial efficiency levels. Design/methodology/approach – Research objectives are accomplished by applying a two-stage data envelopment analysis model with bootstrapped estimates. Based on an unbalanced panel model, secondary data from the annual study published by Transporte Moderno (years 2002-2010) were collected and analyzed. Findings – Results support anecdotal evidence regarding a heterogeneous impact of cargo mix and route mix on efficiency levels. Research limitations/implications – A major limitation of this work concerns the fact of working with secondary data instead of primary data, especially with respect to the set of inputs and outputs used in the analysis, which may not cover all aspects relevant to building an efficiency frontier. Despite this limitation, the study has made an important contribution in its use of panel data to demonstrate the impacts of different types of cargoes and geographic regions serviced on managerial efficiency levels in the trucking industry. Practical implications – Managerial impacts in terms of mergers and acquisitions are addressed. Originality/value – The contribution of this study is twofold. On the theoretical side, a valuable scale for the measurement of managerial efficiency was built and validated, representing an index toward the most productive cargo/route mix. On the other hand, the managerial implication of this possibility of measuring the efficiency levels is that motor carriers can use it as a basis for establishing future action plans. Keywords Brazil, DEA, Longitudinal study, Efficiency drivers, Trucking industry, Unbalanced panel Paper type Research paper Resumen Objetivo – El estudio investiga el tema de la eficiencia en la industria del transporte Brasileña, la cual ha experimentado cambios significativos desde la desregulación de la economía a mediados de los años noventa. El objetivo principal de la investigación es determinar si los diferentes tipos de cargas y regiones geográficas que han recibido los servicios impactan significativamente o no los niveles de eficiencia administrativa de las empresas de camiones. Diseño/metodología/enfoque – Los objetivos de la investigación se lograron usando un modelo DEA de dos etapas con estimaciones bootstrap. Basado en un modelo de panel no balanceado, se obtuvieron y analizaron datos secundarios del estudio anual publicados por Transporte Moderno (años 2002-2010). Hallazgos – Los resultados apoyan la evidencia anécdota en lo relacionado con el impacto heterogéneo de mezcla de cargas y una combinación de rutas en los niveles de eficiencia. Limitaciones/implicaciones del estudio – La limitación más grande de este trabajo es el hecho de trabajar con datos secundarios en vez de usar datos primarios, especialmente en relación con el set de inputs y outputs usados en este análisis, que podrían no cubrir todos los aspectos relevantes en la construcción de una frontera eficiente. A pesar de esta limitación, este estudio hace una importante contribución al usar datos de panel para demostrar los impactos de los diferentes tipos de cargas y regiones geográficas atendidas, en los niveles de eficiencia de la administración de la industria de transporte de camiones. Implicaciones prácticas – Se discuten los impactos de administración en términos fusiones y adquisiciones. Originalidad/valor – La contribución de este estudio es doble. Por el lado teórico, una escala relevante para medir la eficiencia de la administración fue construida y validada, que representa un índice hacia la combinación carga/ruta más efectiva. Por otro lado, las implicaciones administrativas de la posibilidad de medir niveles de eficiencia es que las empresas de transportes pueden usarloa como base para establecer planes futuros de acción. Palabras claves Estudio longitudinal, Industria camionera, Brasil, DEA, Promotores de eficiencia, Panel no balanceado Tipo de papel Trabajo de investigación Resumo Objetivo – A pesquisa investiga o tema da eficiência na indústria brasileira de transporte rodoviário, a qual tem experimentado mudanças significativas desde a desregulamentação da economia em meados dos anos noventa. O objetivo principal da pesquisa é determinar se os diferentes tipos de cargas e de regiões geográficas atendidas impactam significativamente ou não nos níveis de eficiência na gestão de cargas rodoviárias. Desenhos/metodologia/enfoque – Os objetivos da pesquisa foram atingidos usando um modelo DEA de dois estágios com estimativas bootstrap. Baseados em um modelo de painel, foram recolhidos e analisados dados secundários publicados no estudo anual da publicação Transporte Moderno (anos 2002-2010). Achados – Os resultados apoiam a evidência baseada no senso comum relacionada ao impacto heterogêneo do mix de cargas e do mix de rotas nos níveis de eficiência. Limitações/implicações da pesquisa – A maior limitação de esta pesquisa concerne ao fato de trabalhar com dados secundários em vez de dados primários, especialmente em relação com a série de inputs e outputs utilizados na análise, que não puderam cobrir todos os aspectos relevantes para definição da fronteira de eficiência. Apesar dessa limitação, esta pesquisa traz uma importante contribuição ao utilizar dados de painel para demonstrar os impactos dos diferentes tipos de cargas e de regiões geográficas atendidas sobre os níveis de eficiência na gestão do transporte de cargas rodoviárias. Implicações práticas – Os impactos da gestão em termos de fusão e aquisição são abordados. Originalidade/valor – A contribuição deste estudo é dupla. Pelo lado teórico, foi construída e validada uma escala relevante para medir a eficiência de gestão de cargas rodoviárias, que indica um índice para a combinação mais efetiva da combinação entre cargas e rotas. Por outro lado, quanto às implicações gerenciais, a possibilidade de medir os níveis de eficiência criam a possibilidade das empresas de transportes utilizá-los como base para futuros planos de ação. Palavras-chave Estudo longitudinal, Setor de transporte rodoviário, Brasil, DEA, Condutores de eficiência, Dados em painel Tipo de papel Trabalhos de pesquisa

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“…Although DEA has already been satisfactorily employed in other segments that are logisticsrelated -such as third-party logistics (MIN; JOO, 2006;HAMDAN;ROGERS, 2007;SENRA et al, 2007;ZHOU et al, 2008;AFFONSO, 2011), airline industry (SCHEFCZYK, 1993), airports (MELLO, 2003;PACHECO;FERNANDES, 2003;BARROS et al, 2010;FONSECA et al, 2010 Specifically concerning the trucking industry, Odeck and Hjalmarsson (1996) and Hjalmarsson and Odeck (1996) initially demonstrated the usefulness of DEA as a tool for evaluating the efficiency of trucks involved in road construction and maintenance production processes in Norway. Meja and Corsi (1999) conducted DEA analysis to assess a motor carrier's safety process, showing how this technique might be useful to carriers, regulators, and shippers.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating efficiency in the Brazilian trucking industry

Wanke

2012

Prod.

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The purpose of this study is to investigate the issue of efficiency in the Brazilian motor carrier industry using both DEA (Data Envelopment Analysis) and SFA (Stochastic Frontier Analysis) in a complimentary fashion. The study is based on secondary data collected from Transporte Moderno/Maiores e Melhores, a specialized magazine that annually reports statistics on the largest Brazilian trucking companies. Results corroborate not only that increasing returns to scale prevail within this industry, but also provide support for a moderate impact of economies of scope on efficiency levels. Implications in terms of mergers and acquisitions and the impact of cargo diversity and the geographical scope of the operation on virtual efficiency levels are also addressed.

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Uniformization of frontiers in non-radial ZSG-DEA models: an application to airport revenues

Cited by 21 publications

References 39 publications

Efficient allocation of CO 2 emissions in China: a zero sum gains data envelopment model

Efficient allocation of CO 2 emissions in China: a zero sum gains data envelopment model

Efficiency drivers in the Brazilian trucking industry: a longitudinal study from 2002-2010

Evaluating efficiency in the Brazilian trucking industry

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