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Treball Final de Grau en Finances i Comptabilitat. Codi: FC1049. Curs acadèmic: 2019/2020 In recent years there has been a rise in businesses investing in social and ethical issues. The sustainable development goals published in 2015 by the UN provide a globally agreed framework to make the world more sustainable. Companies have been given the opportunity to help the environment and society through their actions whilst increasing their value and return and improving their reputation. A method for doing so is by following the principles of responsible investment and incorporating environmental, social and governance criteria into long-term businesses strategies. Spanish banks are actively working to achieve the sustainable development goals by investing in sustainable finance, social projects, housing programmes, etc. to meet societal needs whilst extending their market scope and achieving corporate growth and financial success. The main focus of their actions lays with two specific goals: ending poverty and providing decent work and economic growth for all.

Artículos en revistas Este estudio analiza cómo las estrategias de responsabilidad social corporativa ambiental (ECSR) contribuyen a mejorar la innovación entre las pequeñas y medianas empresas (PYMES) mediante el desarrollo de recursos tecnológicos. Probamos nuestras hipótesis durante un período de ocho años utilizando un panel de 2.405 pymes industriales en España. Encontramos empíricamente que ECSR impulsa la construcción de los recursos tecnológicos de las empresas, lo que resulta en una mejora de su esfuerzo tecnológico o I + D y resultados en términos de innovación de productos y procesos. ECSR intensifica la innovación para empresas innovadoras y cataliza el inicio de la innovación para empresas que antes no innovaban, y los efectos resultantes se mantienen en el tiempo. Contribuimos a la literatura analizando los efectos de ECSR en la promoción de la innovación de las empresas más allá de la conocida influencia en la innovación verde. Además, examinamos el área de investigación descuidada de las estrategias ambientales de las PYME. Nuestros hallazgos fortalecen el valor innovador instrumental de ECSR, específicamente para las PYMES. This study analyzes how environmental corporate social responsibility (ECSR) strategies contribute to enhancing innovativeness among small and medium-sized enterprises (SMEs) by developing technological resources. We test our hypotheses over an eight-year period using a panel of 2,405 industrial SMEs in Spain. We empirically find that ECSR drives the building of firms’ technological resources, which results in an enhancement of their technological effort or R&D and outcomes in terms of product and process innovation. ECSR intensifies innovation for innovative firms and catalyzes the inception of innovation for previously non-innovating firms, and the resultant effects are sustained over time. We contribute to the literature by analyzing the effects of ECSR in promoting the innovation of firms beyond the well-known influence on green innovation. Further, we examine the neglected research area of the environmental strategies of SMEs. Our findings strengthen the instrumental innovative value of ECSR, specifically for SMEs. info:eu-repo/semantics/publishedVersion

Capítulos en libros The development of smart grid solution concepts, such as islanding, make it possible to improve the security of supply in networks. The results experimented in real-life test systems must be extrapolated to wider areas and in other locations, which is not straightforward. The scalability and replicability analysis (SRA) aims to identify the relevant factors that affect smart grid implementations and understand the effects of their variation on the results achieved by smart grid solutions. This paper presents the SRA of an islanding use case in a medium voltage network using cogeneration. Furthermore, the results obtained have been used to obtain a set of scalability and replicability rules for islanding use cases that can be applied in other cases. info:eu-repo/semantics/publishedVersion

Abstract This article gives an overview of the literature on clean technology diffusion, followed by suggestions for future analysis. Findings from diffusion analysis are presented in the form of 10 stylised facts, helping the reader to see the forest for the trees. The overall conclusion is that the diffusion of clean technology (same as the diffusion of normal innovations) is governed by endogenous mechanism (epidemic learning and learning economies) and by exogenous mechanisms. Policy is important for clean technology diffusion but other factors are important too: the characteristics of the clean technology, absorptive capacities of potential adopters and the age structure of capital. It is often overlooked that companies have a choice: they can choose between an end-of-pipe solution, a process change (adaptation) and a change of process (substitution). This means that the diffusion and evolution of one clean technology will be at the expense of the diffusion of another clean technology, something overlooked in studies on clean technology diffusion. Further research is needed on the influence of public policy on clean technology choice, expectations (about learning economies and prices), adjustment costs, network externalities and complementary innovations on clean technology adoption choices.

Abstract Assessing and selecting the optimal technological alternatives in industrial sector is a fundamental tool to improve and adapt the industrial processes to the European legislation, which encourages the incorporation of new technologies for minimising the environmental impacts of companies such as Best Available Techniques. The aim of this study is to perform a holistic analysis of this process from a sustainability perspective. That is to say, its purpose is to analyse the studies that have been published in the literature over the last decade concerning the way the different improvements incorporated into different industrial sectors (Best Available Techniques, green technologies, remediation technologies, emission abatement technologies, etc.) are assessed and selected from a range of perspectives (environmental, technical, economic, social, etc.). Thus, an extensive review of the literature was performed to determine which criteria are the most widely used, the methodologies applied to choose those criteria, the sources of information the data is obtained from, the methodologies for calculating the indicators that allow each criterion to be measured, the different normalising and weighting methods that are applied, the techniques that are most commonly used to compare and choose the best technological alternatives and, finally, the sensitivity analyses that are most often applied to such processes. As a result, the process for assessing and selecting technologies is characterised and the guidelines to direct the selection of the set of methodologies that are the most appropriate to make a decision related to technology selection in future applications are established.

Artículos en revistas The electricity consumption in the buildings sector has been steadily increasing during the last decade, up to the point that energy efficiency in this sector has become a major problem for governments, utilities, customers, and the environment. The foreseen high penetration of distributed micro-generation facilities based on renewables can help to reduce the environmental footprint of buildings and households, although the complexity of managing effectively the electric grid increases dramatically under these conditions. The IEEE 2030 standard for interoperability in the Smart Grid remarks upon the importance of well-defined data models in such complex scenarios and puts emphasis on the benefits of ontologies and OWL (Web Ontology Language) for this purpose. This paper presents an OWL-based ontology that formally defines the vocabulary and taxonomy and captures the engineering and business semantics of this domain of knowledge (i.e., energy efficiency in the so-called nZEN - nearly Zero-Energy Neighborhoods). This ontology has been defined under the scope of the EU (European Union) research project ENERsip. The paper also highlights the main benefits the ontology brought to all the phases of the project life cycle, as well as how future work can make the most out of it. info:eu-repo/semantics/publishedVersion

Smart grids provide services at the basis of a number of application sectors, several of which are critical from the perspective of human life, environment or financials. It is therefore paramount to be assisted by technologies able to analyze the smart grid behavior in critical scenarios, e.g. where cyber malfunctions or grid disruptions occur. In this paper, we present a stochastic modelling framework to quantitatively assess representative indicators of the resilience and quality of service of the distribution grid, in presence of accidental faults and malicious attacks. The results from the performed analysis can be exploited to understand the dynamics of failures and to identify potential system vulnerabilities, against which appropriate countermeasures should be developed. The features of the proposed analysis framework are discussed, pointing out the strong non-linearity of the involved physics, the developed solutions to deal with control actions and the definition of indicators under analysis. A case study based on a real-world network is also presented.

Over the last decade, significant attention has been devoted to Closed-Loop Supply Chain (CLSC) design problems. As such, this review aims at assessing whether the current modelling approaches for CLSC problems can support the transition towards a Circular Economy at a supply chain level. The paper comprehensively assesses the extent to which existing modelling approaches evaluate the performance of supply chains across the complete spectrum of sustainability dimensions. Also, the capability of the current approaches of incorporating strategic, tactical, and operational decisions is considered, along with adopted solution methodologies. As a result, a comprehensive analysis was performed on 254 selected articles. This paper emphasises how most of the current literature in the field is affected by a disconnection between supply chain design and the founding principles of Circular Economy. Specifically, the CLSC literature exhibits a reductionist interpretation of the Circular Economy. CLSC studies focusing on all three dimensions of sustainability are relatively rare, and performance measurement approaches appear to be very much focused on monetary issues. While methodological contributions appear adequate to focus on the non-deterministic nature of CLSC design problems, there is paucity of empirically-grounded research. Coherently, a research agenda is proposed, in order to address the mentioned gaps and increase the relevance of this research field to practice.