This paper aims shedding more light in the understanding and the study of fiscal vulnerability. Therefore, it presents a methodology of assessing vulnerability of fiscal policy using a public debt dynamic equation which allows estimating the primary balance that stabilizes public debt. Calculating the primary gap represented by the difference between the stabilizing and the current primary balance, it can be indicated fiscal vulnerability. It is used annual data ranged for 1971 and 2010 and investigated the vulnerability of fiscal policy for the case of 10 advanced economies in the European Union. The results showed only a few episodes of more severe fiscal vulnerability occurring after the financial turmoil. Most of the data analyzed indicates a normal state of fiscal vulnerability that is not induced by the government's failure in achieving the stabilizing primary balance but by not aiming at the stabilization of the public debt.
Following the financial crisis of 2007 and the sovereign debt crisis in 2010 that affected the soundness and reduced the strength of public finance in European countries, there has been a growing interest in developing methodologies to the help assess and signal the vulnerability of fiscal policy. Therefore, the aim of this study is to develop a new framework (V-L-D) to assess fiscal vulnerability. V-L-D represents a new methodology on the measurement of fiscal vulnerability that relies on the assumption that vulnerability can occur even during calm times. In comparison with previous methodologies that studied fiscal vulnerability around crisis and fiscal distress times, our framework investigates fiscal vulnerability near fiscal adjustments episodes. Our methodology relies on two distinct indicators: one showing the vulnerabilities indicated by the level of the cyclically adjusted budget balance and distance-to-stability, and one showing the vulnerabilities pointed out through the changes of the cyclically adjusted budget balance and public debt. V-L-D is able to classify fiscal vulnerability into five distinct categories having scores from 0 (no fiscal vulnerability) to 4 (extreme fiscal vulnerability). Using annual data ranging over 1990&ndash ; 2013 for 28 European Union countries, we evidenced 310 episodes of fiscal vulnerability, out of which 128 episodes of low vulnerability, 94 of moderate, 62 of strong, and 26 of extreme fiscal vulnerability. We also found that over 2004&ndash ; 2013, Greece, Portugal, Romania, United Kingdom, Ireland, Spain, and Slovenia were the most fiscally vulnerable countries in the Union. United Kingdom and Greece went through the longest episodes of fiscal vulnerability, counting 12 and 11 consecutive years, respectively. We tested our framework&rsquo ; s effectiveness against the Excessive Deficit Procedure. We found that the overall performance is good: V-L-D assessed moderate fiscal vulnerability during the procedure, strong fiscal vulnerability in the first year when procedure was initiated, and extreme vulnerability one year before the initiation.
The today human being is part of the technological and scientific development dominated by information as a both raw material and base of knowledge.The easy and open accesses to information thrust forward the frontiers of development and communication, enlarge the development's paths and generate amazing changes, faster than ever happened. The way that data bases increase its volume becomes the most actual and complex problem.The ability to extract and process the knowledge and the speed of its processing represent unknown and provocative challenges for business profit and the intelligent society success. Their extraction from the informational noise and the ability to react and rapidly communicate are also important to be accurately customized and harmonised with the social elements.This paper demonstrates the usefulness of neuroscience, neuro-technologies and cognitive computing in finding innovative and customized solutions for solving complex problems in business.The conclusion of our study is that, in order to have an advanced and competitive European Union, it is absolutely necessary to develop innovative solutions for Competitive Intelligence that would include the fundamental elements of neuro-technologies and advanced Artificial Intelligence as Cognitive Business profitable keys.
The paper assesses the importance of the models used to determine the efficiency and the environmental impact of the heating products like heating pumps (HP). An appropriate model of evaluation may help identifying the presence of greenhouse gases and reducing their influence. The paper's novelty resides in the way the hidden sides linked to greenhouse gases' presence, are identified, and eliminated. The research methodology considers an environmental model linked both to the Global Emission Model for Integrated Systems on energy efficiency indicators and to the break-even analysis for greenhouse gases. The model gives hints on reducing the high costs to upgrade the living conditions in residential buildings. The results illustrate the environmental and societal impact and the social potential and highlight the technical implications for such operating systems. They incite optimizing the Heat Hybrid Pumps' design within decentralized energy systems to strengthen energy networks' flexibility and the environmental convenience. The research straightens out the understanding of heat pumps mechanisms, delineates the efficiency of their increasing use through the block-chain technology outlining its future potential for people and society's health and benefit.
Purpose – The present paper substantiates that the concepts of competitive intelligence and academic entrepreneurship are genuinely connected to the modern society and, through their perpetual and versatile evolution, have an important role in moving the development on the right way. Design/methodology/approach – Their evolutive is completed by a comparative analysis as appropriate method to point out similarities and differences and identify the way their application may serve innovation as a tool for those activating in the related domains of education, within our highly dynamic world. Findings – The development of the concepts is meant to link and accelerate the technological and operational innovation to a highly competitive academic environment, business-oriented, as a contribution to its wide potential for profit. Originality/value – The correlation between the two concepts provides an innovative tool able to serve as a platform helping the competitive intelligence, as design and functions, for any academic entrepreneurship business-oriented.
The International Conferences on Economics and Social Sciences (ICESS)organized by Bucharest University of Economic Studies provides an opportunity for all those interested in Economics and Social Sciences to discuss and exchange research ideas. The papers presented at the Conference are available online in the Conference Proceedings series (ISSN 2704-6524): Volume 2019 Collaborative Research for Excellence in Economics and Social Sciences, ISBN 9788366675322 Volume 2020 Innovative Models to Revive the Global Economy, ISBN 9788395815072 This conference provides an opportunity for all those interested in Economics and Social Sciences to discuss and exchange research ideas. We welcome both empirical and theoretical work that is broadly consistent with the conference' general theme. Especially, researchers, PhD students and practitioners are invited to submit papers on the topics related to new models in entrepreneurship and innovation, sustainability and education, data science and digitalization, marketing and finance, Fintech & Insurtech etc. that will develop innovative instruments for countries, businesses and education. The innovative models for sustainable development aim to ensure simultaneous economic development, social development, and environmental protection, to achieve a higher quality of life for all people and protect all living beings and the planet. The main topics of the conference are focused on but not limited to the following sections: Fintech & Insurtech - towards a sustainable financial environment The role of innovation in public and private organizations Financial perspectives in turbulent times Global Challenges for Agri-Food Systems and Sustainable Development Economic Policies for Non-Cyclical Crises Education for Sustainable Development: impact of universities on society Marketing and Sustainability The role of accounting in Sustainable Development Global world after crisis: towards a new economic model Sustainability for future business Current challenges within demographic data: measurement, collection, retrieval, analysis and reporting We welcome you to join us for two intensive days of plenary speeches and specialized parallel sessions debates that will result in high quality practical insights and networking. Scientific CommitteeACELEANU Mirela, Bucharest University of Economic Studies, RomaniaALBU Lucian, Academia Romana, RomaniaANGHEL Ion, Bucharest University of Economic Studies, RomaniaARROYO GALLARDO Javier, Complutense University of Madrid, SpainAUSLOOS Marcel, Leicester University, United KingdomBEGALLI Diego, University of Verona, ItalyBELLINI Francesco, Sapienza University of Rome, ItalyBRATOSIN Ștefan, Universite Montpellier 3, FranceCABANIS Andre, Universite Toulouse 1 Capitole, FranceCASTERAN Herbert, EM Strasbourg University, FranceCENȚIU Silvian, Retina Communications, San Francisco, USACERQUETI Roy, Sapienza University of Rome, ItalyCHAVEZ Gilbert, Globis University Tokyo, JapanCOSTICÃ Ionela, Bucharest University of Economic Studies, RomaniaCOX Michael, London School of Economics, England, UKD'ASCENZO Fabrizio, Sapienza University of Rome, ItalyDIMA Alina Mihaela, Bucharest University of Economic Studies, RomaniaDÂRDALÃ Marian, Bucharest University of Economic Studies, RomaniaDUMITRESCU Dan Gabriel, Bucharest University of Economic Studies, RomaniaDUMITRU Ovidiu, Bucharest University of Economic Studies, RomaniaFELEAGÃ Liliana, Bucharest University of Economic Studies, RomaniaFONSECA Luis Miguel, Polytechnic of Porto, PortugalGARCÍA-GOÑI Manuel, Universitad Complutense de Madrid, SpainGIUDICI Paolo, The University of Pavia, ItalyGRUBOR Aleksandar, University of Novi Sad, SerbiaHÄRDLE Wolfgang Karl, Humboldt University of Berlin, GermanyHURDUZEU Gheorghe, Bucharest University of Economic Studies, RomaniaISTUDOR Nicolae, Bucharest University of Economic Studies, RomaniaKOKUSHO Kyoko, IBM Tokyo, JapanLOMBARDI Mariarosaria, University of Foggia, ItalyMEHMANPAZIR Babak, EM Strasbourg University, FranceMIRON Dumitru, Bucharest University of Economic Studies, RomaniaNABIRUKHINA Anna Vadimovna, Saint Petersburg State University, RussiaNICA Elvira, Bucharest University of Economic Studies, RomaniaNIJKAMP Peter, Jeronimus Academy of Data Science Den Bosch, NetherlandsNOVO CORTI Maria Isabel, Universidade da Coruña, SpainORDÓÑEZ MONFORT Javier, Jaume I University, SpainPANETTA Roberto, Bocconi University, ItalyPARASCHIV Dorel Mihai, Bucharest University of Economic Studies, RomaniaPICATOSTE Xose, Universidad Autonoma de Madrid, SpainPIROȘCÃ Grigore, Bucharest University of Economic Studies, RomaniaPOINT Sébastien, EM Strasbourg University, FrancePOPA Ion, Bucharest University of Economic Studies, RomaniaPROFIROIU Marius Constantin, Bucharest University of Economic Studies, RomaniaRICHMOND Peter, Trinity College Dublin, IrelandSÂRBU Roxana, Bucharest University of Economic Studies, RomaniaSINGER Slavica, J.J. Strossmayer University of Osijek, CroatiaSMEUREANU Ion, Bucharest University of Economic Studies, RomaniaSTAMULE Tãnase, Bucharest University of Economic Studies, RomaniaSTATE Radu, University of Luxembourg, LuxembourgSTOIAN Mirela, Bucharest University of Economic Studies, RomaniaSTRAT Vasile Alecsandru, Bucharest University of Economic Studies, RomaniaSTREET Donna, University of Dayton, USATEIXEIRA DOMINGUES José Pedro, University of Minho, PortugalȚIGU Gabriela, Bucharest University of Economic Studies, RomaniaVALDEBENITO Carlos Ramirez, University of Chile, Santiago de Chile, ChileVEGHEȘ Cãlin Petricã, Bucharest University of Economic Studies, RomaniaVERHOEF Peter, University of Groningen, NetherlandsVOLKMANN Christine Katharina, Schumpeter School of Business and Economics, Bergische Universität Wuppertal, GermanyWALTER FARKAS Erich, University of Zurich, SwitzerlandWIERENGA Berend, Rotterdam School of Management, NetherlandsWOODS Michael, University of Aberystwyth, Wales, UKZIMMERMANN Klaus F., Bonn University (em.) end Global Labor Organization, Germany Open Access Statement These conference proceedings are Open Access proceedings that allow a free unlimited access to all its contents without any restrictions upon publication to all users. Open Access License These conference proceedings provide immediate open access to its content under the Creative Commons BY-NC-ND 4.0. Authors who publish with these proceedings retain all copyrights and agree to the terms of the above-mentioned CC BY-NC-ND 4.0 license. ABSTRACTING & INDEXING Innovative Models to Revive the Global Economy is covered by the following services: Directory of Open Access Books (DOAB) EBSCO Discovery Service Google Scholar Naviga (Softweco) Primo Central (ExLibris) ReadCube Summon (ProQuest) TDOne (TDNet) WorldCat (OCLC)
