Front cover -- Half title -- Editorial Advisory Board -- Title -- Copyright -- Contents -- Introduction -- PART I. THEORETICAL-METHODOLOGICAL FOUNDATIONS IN THE DEVELOPMENT OF MACROECONOMICS -- Theme I. What Is Macroeconomics? -- Theme II. Historical Outline of the Relationship between Macro and Microeconomics -- Theme III. Change-Growth-Development in Macroeconomic Theories -- Theme IV. Macroeconomics in Perspective -- PART II. MACROECONOMICS - PRINCIPLES OF CONDUCT -- Theme V. How to Develop Macroeconomics -- Theme VI. Macroeconomics as a Subject of Study -- Theme VII. Symbolic Dimension of the Economy -- Theme VIII. Change Processes in Macroeconomics -- PART III. GLOBAL MACROECONOMICS -- Theme IX. Global Processes and New Configuration of Economy -- Theme X. Economy in Transition -- Topic XI. Macroeconomy in Networks and Changing the Context of Competition -- Theme XII. Macroeconomics as the Foundation of Economic Strategies -- Theme XIII. Macroeconomics and Human Resources Issues -- Theme XIV. Research Methods in Macroeconomics -- References -- Back cover.
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Agriculture represents a basic economic sector for Romanian economy with major implication on a large part of inland population. The accession to the EU has imposed major changes to the Romanian agricultural sector to achieve better outcomes and to adapt to the new economic performance criteria. The book represents a pertinent analysis regarding the evolution of the Romanian agricultural sector and emphasis the need for optimization of the agricultural production structures. Valuing the inland agricultural potential involves designing well competitive production structures which should better
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Background and purpose: Knowing key indicators of goodwill value can contribute to its effective management and growth of the market value of the enterprise. The purpose of this research is to identify individual goodwill indicators. The paper aim is to obtain potential indicators of enterprise goodwill under the conditions of the Slovak Republic.
Design/Methodology/Approach: Paper data included 11,483 financial statements of Slovak enterprises in 2017. The value of residual enterprise income represents the value of goodwill. Input data for the identification of goodwill indicators represented 15 financial-economic variables. Outliers in data were searched and removed through an interquartile range. Multicollinearity among input variables, by the coefficient of determination and variance inflation factor, was also analysed. A statistically significant correlation between goodwill and its potential indicator were tested by the significance test of the Pearson correlation coefficient and correlation matrixes.
Results: Research results reveal the existence of a statistically significant correlation between goodwill and 8 input variables, which represent its potential vital indicators.
Conclusion: Paper findings bring new possibilities for goodwill management, which may create an essential competitive advantage of a company. For the scientific community, the findings represent sources of potential goodwill indicators which can be used for the creation of the new model of goodwill valuation in future research.
Analysing the impact of agricultural performance on foreign trade concentration and competitiveness defines an important step in identifying the opportunities, challenges and proactive measures in designing a functional and marked based agricultural model. The scope of this study is to investigate the evolution of Romania's the foreign trade competitiveness and its concentration on main destinations during 2007–2016. In this context, in the paper are identified and investigated some of the competitiveness' mutations arisen from the Romania's trade flows concentration and restructuration in relation with 26 of the European Union member states. It was used a unique dataset on agro -food trade output and concentration across EU countries to construct measures of trade competitiveness. The results obtained suggest the existence of a dual relationship of the Romanian agriculture competitiveness and its dependence on the EU economic area, by the concentration of the commercial relationships.
Analysing the impact of agricultural performance on foreign trade concentration and competitiveness defines an important step in identifying the opportunities, challenges and proactive measures in designing a functional and marked based agricultural model. The scope of this study is to investigate the evolution of Romania's the foreign trade competitiveness and its concentration on main destinations during 2007–2016. In this context, in the paper are identified and investigated some of the competitiveness' mutations arisen from the Romania's trade flows concentration and restructuration in relation with 26 of the European Union member states. It was used a unique dataset on agro -food trade output and concentration across EU countries to construct measures of trade competitiveness. The results obtained suggest the existence of a dual relationship of the Romanian agriculture competitiveness and its dependence on the EU economic area, by the concentration of the commercial relationships.
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)