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Publications

2021

Performance Assessment of the Transport Sustainability in the European Union

Authors
Gruetzmacher, SB; Vaz, CB; Ferreira, ÂP;

Publication
Communications in Computer and Information Science

Abstract
Based in the current growth rate of metropolitan areas, providing infrastructures and services to allow the safe, quick and sustainable mobility of people and goods, is increasingly challenging. The European Union has been promoting diverse initiatives towards sustainable transport development and environment protection by setting targets for changes in the sector, as those proposed in the 2011 White Paper on transport. Under this context, this study aims at evaluating the environmental performance of the transport sector in the 28 European Union countries, from 2015 to 2017, towards the policy agenda established in strategic documents. The assessment of the transport environmental performance was made through the aggregation of seven sub-indicators into a composite indicator using a Data Envelopment Analysis approach. The model used to determine the weights to aggregate the sub-indicators is based on a variant of the Benefit of the Doubt model with virtual proportional weights restrictions. The results indicate that, overall, the European Union countries had almost no variation on its transport environmental performance during the time span under analysis. The inefficient countries can improve the transport sustainability mainly by drastically reducing the greenhouse gas emissions from fossil fuels combustion, increasing the share of freight transport that uses rail and waterways and also the share of transport energy from renewable sources. © 2021, Springer Nature Switzerland AG.

2020

Environmental performance assessment of the transport sector in the european union

Authors
Gruetzmacher, SB; Vaz, CB; Ferreira, ÂP;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
The European Union (EU) has been promoting diverse initiatives towards sustainable development and environment protection. One of these initiatives is the reduction of the greenhouse gas (GHG) emissions in 60% below their 1990 level, by 2050. As the transport sector is responsible for more than 22% of those emissions some strategies need to be taken towards a more sustainable mobility, as the ones proposed in 2011 White Paper on transport. Under this context, this study aims to evaluate the environmental performance of the transport sector in the 28 EU countries towards these goals, from 2015 to 2017. The transport environmental performance is measured through the composite indicator derived from the Benefit of the Doubt (BoD) model. The country transport environmental performance is assessed through the aggregation of multiple sub-indicators using the composite indicator derived from the Data Envelopment Analysis (DEA) model. The results indicate that the EU countries slightly improved their transport environmental performance, on average 2.8%. The areas where the inefficient countries need more improvement were also identified: reducing the GHG emissions from fossil fuels, increasing the share of transport energy from renewable sources and improving the public transport share of the total passenger transport. © Springer Nature Switzerland AG 2020.

2019

Comparison of Financial Performance Between Branded and Non-Branded Hotel Companies Using Composite Indicator

Authors
Martins, CA; Vaz, CB; Afonso Alves, JMA;

Publication
VISION 2025: EDUCATION EXCELLENCE AND MANAGEMENT OF INNOVATIONS THROUGH SUSTAINABLE ECONOMIC COMPETITIVE ADVANTAGE

Abstract
The Hospitality industry is one of the main sectors of tourism activity, being important to assess the performance of the hotel companies. The aim of the present paper is to study the financial performance of 570 companies operating hotel units in Portugal, in 2017, allowing for comparison among companies with similar stars rating and market orientation to explore the question of branded and non-branded affiliation. This issue is studied using a methodology based on Data Envelopment Analysis to assess the overall performance for each company. The hotel company performance is assessed through the aggregation of multiple financial indicators using the composite indicator derived from the DEA model. The empirical results show that the hotel branded companies have, on average, significantly, higher overall financial performance than hotel non-branded companies. Although, the best practices are observed in hotel branded and non-branded companies. This analysis can support the strategic decision process of the hotel companies in choosing to operate independently or selecting a brand affiliation.

2019

Environmental Performance Assessment of European Countries

Authors
Vaz, CB; Ferreira, ÂP;

Publication
Springer Proceedings in Mathematics and Statistics

Abstract
The European Union (EU) has been promoting an integrated approach to climate protection and energy policy, through a set of key objectives for 2020, 2030 and 2050, linking Europe’s green agenda with its need for energy security and competitiveness. This paper aims to evaluate the environmental efficiency of European Countries from 2010 to 2015 towards 2020 targets, through a Data Envelopment Analysis (DEA) model. The DEA model assesses the ability of each country in minimizing current resources while maximizing the gross domestic product (GDP) and minimizing undesirable outputs, such as GhG emissions. The DEA model is based on Directional Distance Function (DDF), imposing weak disposability for the undesirable output (UO). Results obtained show that globally, in the period under analysis, the EU has increased its environmental efficiency which is consistent with the analysis of the indicators of the 2020 climate and energy package. © 2019, Springer Nature Switzerland AG.

2018

Determinants of nursing homes performance: The case of Portuguese Santas Casas da Misericórdia

Authors
Veloso, AS; Vaz, CB; Alves, J;

Publication
Springer Proceedings in Mathematics and Statistics

Abstract
This study aims to evaluate the economic efficiency of Nursing Homes owned by 96 Santas Casas da Misericórdia (SCM) and the determinants that influenced their efficiency in 2012 and 2013. The SCM are the oldest non-profit entities, which belong to Third Sector in Portugal, provide this social response and receive significant financial contributions annually from the state. The study is developed in two stages. In the first stage, the efficiency scores were calculated through the non-parametric DEA technique. In the second stage, Tobit regression is used to verify the effect of certain organizational variables on efficiency, namely the number of users and existence of Nursing Home chains. The results of the DEA model show that the efficiency average is 81.9%, and only 10 out of 96 Nursing Homes are efficient. Tobit regression shows that the number of users has a positive effect on the efficiency of Nursing Homes, whereas the existence of Nursing Home chains affects their efficiency negatively. © Springer International Publishing AG 2018.

Supervised
thesis

2016

Certificação de qualidade versus qualidade de informação financeira: estudo para empresas portuguesas

Author
Ana Catarina Rodrigues Martins

Institution
IPB

2016

Avaliação de Desempenho de Lares de Infância e Juventude utilizando a técnica DEA.

Author
Ivo Manuel Raposo Mendes

Institution
IPB

2016

Avaliação da Gestão da Manutenção de Equipamentos Hospitalares

Author
Cristian Gomes Carvalheiro.

Institution
IPB

2016

Benchmarkmg da Imagiologia nos Hospitais Portugueses do Senijço Nacional de Saúde

Author
Rafael Sousa Soares

Institution
IPB

2016

A gestão de stocks do serviço de assistência técnica na área da eletromedicina

Author
Fernanda Maria Martins Oliveira

Institution
IPP-ISCAP