Fatores determinantes da eficiência do setor bancário em Portugal: uma aplicação através de modelos de regressão fracional

The participation in the Euro area and the current financial crisis substantially conditioned the development of the Portuguese banking industry, for which is expected a continuous fall in income and a growing competitive pressure, improving the need to look carefully to issues as efficiency as an essential survival factor. Efficiency indicators of the main banks operating in Portugal were measured through DEA methodology. The application of two-stage models allowed circumventing the usual problems inherent to the coexistence of the production and intermediation approaches. The application of regression for proportions, more appropriate than traditional linear and Tobit regressions, to deal with the fractional nature of the DEA scores, allowed the identification of efficiency determinant factors for the main banks operating in Portugal. The fractional regression models demonstrate evidence of improved specification comparing to traditional regression models. The variables that appear to major influence on overall efficiency are internationalization, size and type of ownership of capital.info:eu-repo/semantics/publishedVersio

Nonparametric approach to evaluation of economic and social development in the EU28 member states by DEA efficiency

Data envelopment analysis (DEA) methodology is used in this study for a comparison of the dynamic efficiency of European countries over the last decade. Moreover, efficiency analysis is used to determine where resources are distributed efficiently and/or were used efficiently/inefficiently under factors of competitiveness extracted from factor analysis. DEA measures numerical grades of the efficiency of economic processes within evaluated countries and, therefore, it becomes a suitable tool for setting an efficient/inefficient position of each country. Most importantly, the DEA technique is applied to all (28) European Union (EU) countries to evaluate their technical and technological efficiency within the selected factors of competitiveness based on country competitiveness index in the 2000-2017 reference period. The main aim of the paper is to measure efficiency changes over the reference period and to analyze the level of productivity in individual countries based on the Malmquist productivity index (MPI). Empirical results confirm significant disparities among European countries and selected periods 2000-2007, 2008-2011, and 2012-2017. Finally, the study offers a comprehensive comparison and discussion of results obtained by MPI that indicate the EU countries in which policy-making authorities should aim to stimulate national development and provide more quality of life to the EU citizens.Web of Science122art. no. 7

Incorporating the Dual Customer Roles in e-Service Design

E-service involves the delivery of useful services through information technology based service delivery channels such as the Internet. A distinguishing feature of e-service is the active and significant participation of customers in the service co-production process. With increasing customer participation in the e-service co-production process, it is important to incorporate customers’ needs both as a co-producer and as a patron into the design of e-service systems. However, these dual customer roles create a complex decision problem during e-service design. In the current paper we present a customer orientation strategy for e-service design, and propose a corresponding two-stage decision model based upon the customer orientation strategy to evaluate the efficiency and effectiveness of e-service design when the focus of the design is to meet customers’ needs as both co-producers and patrons. The decision model is then applied in an empirical study of the design of e-services of Internet food retailers. Key Words: Service Operations, E-Service, Co-production, Efficiency Analysis, Data Envelopment Analysis

A Non-Parametric Comparison Among Firms Income Statement-Based And Balance Sheet-Based Performance

The purpose of the study is to create an income statement-based and a balance sheet-based data envelopment analysis (DEA) model, and to demonstrate these models on Johannesburg Stock Exchange (JSE) listed firms and to compare the technical and scale efficiencies of firms among the two models. A convenience sample of 51 JSE-listed industrial companies over a three year period was selected. The practical value of this modeling exercise is that corporate managers can become conscious that, although the income statement and balance sheet performances tend to be related, there is evidence of a significant gap between firms performance according to these measurements

Efficiency in the hotel industry: an empirical examination of the most influential factors

The purpose of this article is to provide insights into hotel efficiency and investigate which hotels are performing better. Hotel efficiency is examined using data envelopment analysis (DEA) and the outputoriented BCC model is applied on the hotels’ internal accounting information. The study further explores whether there are differences in efficiency between hotels of different size and quality. The results show that average efficiency is high, but not all hotels are performing at their maximum efficiency. A significant relationship between size and hotel efficiency has been found. This study provides a potential framework for efficiency measurement and contributes to the growing body of knowledge in the area of hotel efficiency in the context of a country that is predominantly concentrated on seasonal seaside tourism. The results of this research offer useful insights for hotel managers, suggest ways of enhancing hotel productivity and provide guidance on which aspects to focus their attention in the decision-making process

Application of Data Envelopment Analysis (DEA) in Information and Communication Technologies

The consistent improvements and fast-growing trend of information and communication technology (ICT) have impacted all areas of society and the economy. In 2020, with the sudden pandemic of COVID-19, businesses worldwide faced great challenges and had to transform and become digital-native enterprises by using data analytics, digital business platforms and personalized customer approaches. In such a digital era, innovation, entrepreneurial dynamism and ICT are the key ingredients for business\u27 success and sustainability. Furthermore, it has become very clear that the influence of the ICT industry on economic growth is immense. Therefore, it should not come as a surprise that the interest in research of the ICT industry is great. Data Envelopment Analysis (DEA) is the leading non-parametric mathematical technique for assessing performance and measuring efficiency of complex entities called Decision-Making-Units (DMUs), by conversion of multiple input variables to multiple output variables. DEA has experienced rapid growth in use in many areas ever since its introduction by Charnes, Cooper and Rhodes in 1978. The purpose of this paper is to present and describe Data Envelopment Analysis as the leading mathematical programming technique for data analysis and to provide an extensive literature review, to identify the studies implementing the DEA methodology in Information and Communication Technologies (ICT) and to present its findings. Furthermore, this study\u27s goal is to inspire and encourage researchers to employ this methodology in the fields of ICT and to give guidance for future research in this area

Agricultural Economics Education in Ukrainian Agricultural Universities: An Efficiency Analysis Using Data Envelopment Analysis

Ukraine's transition from a centrally-planned to a market economy has had a profound effect upon its agricultural sector and agricultural universities. A substantial reduction in state financing has forced universities to adopt a range of survival strategies, with varying degrees of success. In this paper we use data envelopment analysis to examine the technical efficiency of 44 agricultural economics programs from 19 Ukrainian universities during the 2002/03 academic year. Our empirical results indicate wide disparities in performance, ranging from 36% to 100% technical efficiency. A second-stage analysis suggests that factors such as student demand, commercial activities and staff quality help explain a portion of this variation.higher education, Ukraine, efficiency, data envelopment analysis, Teaching/Communication/Extension/Profession, I21, C14, Q16,

A Model To Estimate Firms Accounting-Based Performance: A Data Envelopment Approach

The objective of the study was to follow a logical inductive approach to develop a Data Envelopment Analysis (DEA) model to estimate the relative technical efficiency of firms. The Du Pont analysis theory as conceptual framework was applied using primarily readily available accounting line-items as input and output variables. From an interpretive epistemological paradigm and analytical reasoning, a new DEA model was developed with Weighted Average Cost of Capital (WACC), leverage and expenditure as input variables and revenue, net profit and Earnings Before Interest, Tax, Depreciation and Amortization (EBITDA) as output variables. The originality of this study is that this is the first effort to employ accounting data, based on the Du Pont analysis in a DEA model. All the input and output variables in the model were already used individually or in combinations by previous studies, except for WACC. The study argues that WACC should be employed as a proxy for the accounting line-items, equity and liabilities, since lowering WACC implies that firms are moving closer to their optimal capital structures

The performance of Croatian hotel companies – DEA window and Malmquist productivity index approach

The hospitality industry operates in a dynamic and competitive environment where efficiency and productivity are crucial for sustainable success. The main goal of this paper is to assess the dynamic changes in the efficiency and productivity of large and very large Croatian hotel companies and to investigate whether their location influences these factors. It also aims to determine how resilient the companies are to macroeconomic shocks and to identify the causes of inefficiency and productivity changes separately for each location. The analysis is conducted for 70 large and very large hotel companies in total and separately for those in coastal and the continental Croatia from 2017 to 2022 using the Window Data Envelopment Analysis and the Malmquist Productivity Index. The results show a slight decrease in relative efficiency in 2020 due to the impact of the COVID-19 pandemic. The main cause of inefficiency for coastal hotel companies throughout the period is management performance and other exogenous factors. Conversely, the main cause of inefficiency for continental hotel companies shifted from non-optimal production size to management and other exogenous factors after 2020. Productivity declined between 2019 and 2020 due to the decline in technological change for companies in both locations. Prior to 2020, coastal and continental hotel companies followed a similar trend. While coastal hotels recovered faster in 2021, continental hotels recovered more steadily and achieved higher productivity in 2022. This research provides valuable insights for hotel managers and academics seeking to navigate the ever-changing field of hotel management