García Bernabeu, Ana María
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- PublicationEXTERNALIDADES: CONTAMINACION(Universitat Politècnica de València, 2008-04-14T08:03:32Z) García Bernabeu, Ana María; Departamento de Economía y Ciencias Sociales; Escuela Politécnica Superior de Alcoy; Grupo de Investigación de Economía Internacional y Desarrollo
- PublicationA Reference Point-Based Proposal to Build Regional Quality of Life Composite Indicators(Springer-Verlag, 2021-10-18) García Bernabeu, Ana María; Cabello, José Manuel; Ruiz, Francisco; Departamento de Economía y Ciencias Sociales; Escuela Politécnica Superior de Alcoy; Grupo de Investigación de Economía Internacional y Desarrollo; Junta de Andalucía; Agencia Estatal de Investigación; European Regional Development Fund[EN] There is a growing interest in research on the role that space plays in defining and measuring well-being or quality of life. In this paper, we propose to evaluate the regional quality of life using the Multi-Reference Point based Weak Strong Composite Indicator approach, to further enhance the quality of the sub-national analysis. The major motivation is to facilitate assessing the regional quality of life performance at different geographical scales and compensability levels. As an example of application, we compute the composite indicators for 19 Spanish regions to paint a comprehensive picture of the regional quality of life using two different geographical scales: the Spanish and the European ones. Moreover, we provide warning signals to regional, national and European policy-makers on the quality of life dimensions in which each region needs further improvements.
- PublicationCompetencia monopolística(Universitat Politècnica de València, 2011-11-15) García Bernabeu, Ana María; Departamento de Economía y Ciencias Sociales; Escuela Politécnica Superior de Alcoy; Grupo de Investigación de Economía Internacional y DesarrolloCaracterísticas y equilibrio en un mercado de competencia monopolística
- PublicationUna revisión de experiencias y recursos educativos para aprender economía y finanzas con Python(Editorial Universitat Politècnica de València, 2023-10-06) Salas Molina, Francisco; Pla Santamaría, David; García Bernabeu, Ana María; Utrero González, Natalia María; Centro de Investigación en Gestión de Empresas (CEGEA); Departamento de Economía y Ciencias Sociales; Escuela Politécnica Superior de Alcoy; Grupo de Investigación de Economía Internacional y Desarrollo[EN] In this paper, we review different educational experiences in which programming language Python is used to teach/learn economics and finance. The emphasis is placed on the resources used and the challenges faced by teachers. A critical analysis on the advantages and disadvantages is provided to facilitate the choice of the best teaching methods in the context of quantitative economics and finance. As a result, the paper summarizes how economics and finance can be taught using Python. Furthermore, the paper contributes to enhance the knowledge about computer driven economic learning and to close the gap between computer science and economics.
- PublicationComments on: Multicriteria Decision Systems for Financial Problems(Springer Verlag (Germany), 2013-07) Pla Santamaría, David; García Bernabeu, Ana María; Departamento de Economía y Ciencias Sociales; Escuela Politécnica Superior de Alcoy; Grupo de Investigación de Economía Internacional y Desarrollo
- PublicationNew decision rules under strict uncertainty and a general distance-based approach(American Institute of Mathematical Sciences, 2023-04-04) Salas Molina, Francisco; Pla Santamaría, David; Vercher Ferrándiz, María Luisa; García Bernabeu, Ana María; Centro de Investigación en Gestión de Empresas (CEGEA); Departamento de Economía y Ciencias Sociales; Escuela Politécnica Superior de Alcoy; Grupo de Investigación de Economía Internacional y Desarrollo; Universitat Politècnica de València[EN] Strict uncertainty implies a complete lack of knowledge about the probabilities of possible future states of the world. However, there is complete information about the set of alternatives under consideration, the set of future states, and the scalar evaluation of choosing every alternative if a given state occurs. The principle of insufficient reason by Laplace, the maximin rule by Wald, the Hurwicz criterion, or the minimax regret criterion by Savage are examples of decision rules under strict uncertainty. Within the context of strict uncertainty, moderate pessimism implies the existence of a decision-maker who cautiously assumes that the most favorable state will not occur when the action has been taken with no conjecture being made about the other states. The criterion of moderate pessimism proposed by Ballestero implies the use of the inverse of the range of evaluation for each state as a weight system. In this paper, we extend the notion of moderate pessimism under strict uncertainty to solve some of its limitations. First, we propose a new domination analysis that avoids removing dominated alternatives that are still relevant in the final ranking of alternatives. Second, we propose additional score functions using the inverse of the standard deviation and the mean absolute deviation instead of the range of evaluations for each future state to reduce the impact of the possible existence of outliers in the decision table. This partial result is later generalized through the concept of average deviation of a given order. Finally, we show that all the mentioned decision rules are special cases of a general ranking method based on the Minkowski distance function. We illustrate the use of distance-based decision rules through an application in the context of portfolio selection.
- PublicationTeaching operations management to lawyers(IATED, 2022-07-06) Salas Molina, Francisco; Vercher Ferrándiz, María Luisa; Pla Santamaría, David; García Bernabeu, Ana María; Centro de Investigación en Gestión de Empresas (CEGEA); Departamento de Economía y Ciencias Sociales; Escuela Politécnica Superior de Alcoy; Grupo de Investigación de Economía Internacional y Desarrollo[EN] This paper deals with a problem present in most Master in Business Administration (MBA) classrooms. This problem is the heterogeneity of students and their backgrounds. Different backgrounds pose a challenge to teachers that require the use of quantitative techniques such as optimization within an Operations Management subject. Engineers and other students with mathematical training probably get bored if the level is too low. On the contrary, Lawyers and other students without technical background usually find contents cumbersome. This paper aims to find a compromise between the heterogeneity of backgrounds and the fulfilment of learning objectives for students of Operations Management in an MBA. To this end, we propose a methodology to support the selection of teaching methods from a multiobjective perspective. The results derived from this methodology enable professors to consider their particular preferences and to integrate important decision-making principles by selecting the appropriate distance function to an ideal point that acts as a reference.
- PublicationCountry Evaluation of Islamic Economic Criteria: An Application Using Entropy Weight and TOPSIS Methodologies(Rajesh K. Deshmukh, 2021-02) Mayor-Vitoria, F.; García Bernabeu, Ana María; Abdul Rahman, Nor Aida; Mohammad, Mohammad Fakhrulnizam; Departamento de Economía y Ciencias Sociales; Escuela Politécnica Superior de Alcoy; Grupo de Investigación de Economía Internacional y Desarrollo[EN] While Islamic economy is growing in all sectors, Halal compliance is carried out by more countries worldwide. The purpose of this paper is toestablish a methodology based on MCDM methods in order to create an accurate ranking of countries according to the basis of the Halal standards, which can be used by public and private institutions. Although Islamic economy is evaluated globally by different institutions every year, those reports are based on indicators which are equally weighted. In this paper, weights of the six Islamic economy criteria are determined by the EWM (Entropy Weight Method) and theTechnique for Order Preference by Similarity to Ideal Solution (TOPSIS) has been used to create a ranking of countries in terms of the Halal principles.
- PublicationESG integration in portfolio selection: A robust preference-based multicriteria approach(Elsevier, 2024-06) García Bernabeu, Ana María; Hilario Caballero, Adolfo; Tardella, Fabio; Pla Santamaría, David; Departamento de Ingeniería de Sistemas y Automática; Departamento de Economía y Ciencias Sociales; Instituto Universitario de Automática e Informática Industrial; Escuela Politécnica Superior de Alcoy; Grupo de Investigación de Economía Internacional y Desarrollo; Ministerio de Ciencia, Innovación y Universidades; Universitat Politècnica de València[EN] We present a framework for multi-objective optimization where the classical mean-variance portfolio model is extended to integrate the environmental, social and governance (ESG) criteria on the same playing field as risk and return and, at the same time, to reflect the investors¿ preferences in the optimal portfolio allocation. To obtain the three-dimensional Pareto front, we apply an efficient multi-objective genetic algorithm, which is based on the concept of e-dominance. We next address the issue of how to incorporate investors' preferences to express the relative importance of each objective through a robust weighting scheme in a multicriteria ranking framework. The new proposal has been applied to real data to find optimal portfolios of socially responsible investment funds, and the main conclusion from the empirical tests is that it is possible to provide the investors with a robust solution in the mean-variance-ESG surface according to their preferences.
- PublicationA multidimensional approach to rank fuzzy numbers based on the concept of magnitude(University of Sistan and Baluchestan, 2023-12) Salas Molina, Francisco; Reig-Mullor, Javier; Pla Santamaría, David; García Bernabeu, Ana María; Centro de Investigación en Gestión de Empresas (CEGEA); Departamento de Economía y Ciencias Sociales; Escuela Politécnica Superior de Alcoy; Grupo de Investigación de Economía Internacional y Desarrollo[EN] Ranking fuzzy numbers have become of growing importance in recent years, especially as decision-making is increasingly performed under greater uncertainty. In this paper, we extend the concept of magnitude to rank fuzzy numbers to a more general definition to increase flexibility and generality. More precisely, we propose a multidimensional approach to rank fuzzy numbers considering alternative magnitude definitions with three novel features: Multidimensionality, normalization, and a ranking based on a parametric distance function. A multidimensional magnitude definition allows us to consider multiple attributes to represent and rank fuzzy numbers. Normalization prevents meaningless comparisons among attributes due to scaling problems, and the use of the parametric Minkowski distance function becomes a more general and flexible ranking approach. The main contribution of our multidimensional approach is the representation of a fuzzy number as a point in a n-dimensional normalized space of attributes in which the distance to the origin is the magnitude value. We illustrate our methodology and provide further insights into different normalization approaches and parameters through several numerical examples. Finally, we describe an application of our ranking approach to a multicriteria decision-making problem within an economic context in which the main goal is to rank a set of credit applicants considering different financial ratios used as evaluation criteria.