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This paper represents an overview of the concept of multi-level governance and the approach delivered on innovation at European level with the purpose of helping and empowering researchers and businesses to thrive in a technologically advanced economy. The concept of multi-level governance derives from the analysis of the institutional framework for the development of Community policies and the Community political process. This stems from the presumption that the Community governance system has a high degree of differentiation and integration both vertically and horizontally. The multi-level governance model illustrates how certain competences of the national state are transferred to the supranational level or to the public or private sub-national authorities. Within this model, we can meet both supranational actors and actors at national, regional or local levels. This type of governance is characterized by the existence of a limited number of authorities, divided so as to be able to perform more functions, excluding their overlapping to exercise exclusively competences on delimited territories. Multi-level governance in innovation is characterized by a national transition as a unique place for the development and implementation of innovation policy, both at supranational and sub-national levels. Keyword: multi-level governance, European Union, development, social cohesion, institutions

This research study integrates the results from theoretical and real-world scenarios in the frameworks of corporate governance, state governance, and public administration. Whether it be via the tight examination of the private sector or the public sector, the strategy adopted in this research involved constructing a 360-degree focus on real occurrences that generate the formal and informal processes that keep the globe going. In the first portion of the article, the global mechanism as viewed from the perspective of business and the worldwide mechanism as seen from the standpoint of the economy are both given their own section.
Keywords: corporate governance, economic growth, free trade, global accountability

Entrepreneurial education is one of the fastest growing areas in the world today, with a growing interest in academia, which allows the possibility of linking current labor market needs to academic theory. The purpose of this article is to make a positive contribution to the formation of future entrepreneurship programs, by analyzing existing curricula to identify potential educational gaps, as well as to identify the skills needed by students in the context of sustainable business development. This will allow entrepreneurial trainers to exchange ideas that facilitate collective learning and help inform researchers about the future directions of education. This article will focus on the analysis of existing entrepreneurship education at the international level, as well as on the development of suggestions on how entrepreneurship education can progress further, as a way of shaping the future development of the economy.
Keywords: entrepreneurial education, sustainable business, sustainable development

This study is based on an algorithm created for the American stock market to improve closed investment funds' efficiency, which had as a secondary output a suitable and sustainable model that could be scaled to fit solutions for problems with automated decision making at the government level, similar to a fundamental business intelligence solution (that adheres to similar procedures as the IBM Cognos workflow), which provides a solution in creating the best sustainable model. The model is based on businesses that are listed on the NASDAQ and LSE since these markets offer the finest examples of transparency and accurate audits. It also replicates the economic sectors that make up a fictitious national economy. In order to provide a better perspective and to report the main findings of this study, we also created an overview to analyze the development of B.A.D.E.M., an indicator that simulates a national economy, which in 2023 reached its tenth version, and HSS, a micro-indicator that simulates the healthcare sector.
Keywords: artificial intelligence, automated decision making, business intelligence, economic growth, resilience

Defining relations can be built between the state and the corporation on its capitalist structure with observable results in increasing economic performance. The idea of ​​sustainability results from Schumpeter's analysis of "healthy" economic growth of about 2% per year (according to the analysis between 1890 and 1940, including the unsustainable pre-crisis growth of 3.8% / year between 1890 and 1929). Basically, the relationship between government action and corporate governance can be likened to the relationship between urban management and business management (the ultimate goal is to attract investors / stakeholders to the city / corporation by offering advantages over other areas with similar characteristics but keeping the sense of economic logic). to maintain a competitive environment over the local government apparatus and an effective relationship with the inhabitants of that city, respectively, to maintain an organizational culture that resonates with the employees and with the initial purpose of the business), thus this research work having a character of rationalization of the economic environment of an emerging state through an integrated corporate governance approach to the issue.

A solid industrial base positively influences society as a whole. Business development is favored by the degree to which companies are active in the market. The article presents an analysis of employment in companies active in the Member States of the European Union. The evolution of the establishment of active enterprises according to their branches of activity is also addressed. Openness to local markets can lead to successful business activities. Cooperation between different companies can also be facilitated by new technologies. From the point of view of mobility, employment in foreign affiliates of domestic enterprises is another subdomain analyzed in the article. The way in which companies approach the field of expenditure can influence their activity. Thus, by increasing technological capacities and promoting innovation, technological development measures lead to the development of enterprises. The article presents an analysis of the way in which expenditure is shared at the level of enterprises in the Member States of the European Union.

The interest in having a low-carbon economy has led to transformations in the economies of all countries. New economic models are being put into practice. New jobs are being created. Sustainable use of resources is becoming more important. The article presents an analysis of waste generation in the member countries of the European Union. The study of the possibility of reusing certain materials started from the design phase of the finished product. Production processes can also contribute to saving natural resources. This can create new business opportunities and avoid inefficient waste management. The article also analyzes the degree of municipal waste collection, as well as the share of recycled municipal waste. In the production process, the recovery of certain materials and then their use can lead to savings in the use of raw materials. This reduces the pressure exerted by the extraction of raw materials on the environment. Further investments in green technologies will contribute to the efficient use of natural resources, restore biodiversity and reduce pollution.

Lately, we face many challenges that threaten the well-being of society and the quality of life. All of these challenges are complex and closely related, which means that one approach can have positive consequences for others. In this context, population growth, an extremely delicate subject, from a social and ethical point of view has generally become a threat to the entire planet, and in particular, to urban agglomerations. At the global level, population growth puts even greater pressure on basic resources, from fresh water to fertile land, endangering the very existence of humanity. The purpose of this paper is to analyze the population trend globally, as compared to the population trend in the big urban agglomerations, as well as the evolution of some indicators of the quality of life depending on the population growth. Following the analysis, we aim to identify various challenges and develop proposals for the sustainable development of urban space.

This paper aims to review the different impacts of income inequality drivers on the Gini coefficient, depending on institutional specificities. In this context, we divided the European Union member states in two clusters (the cluster of member states with inclusive institutions / extractive institutions) using the institutional pillar as a clustering criterion. In both cases, we assesed the impact of income inequality drivers on Gini coefficient by using a fixed effects model in order to examine the role and importance of the institutions in the dynamics of income disparities.The models were estimated by applying the Panel Estimated Generalized Least Squares (EGLS) method, this being weighted by Cross-section weights option. The separate assessment of the income inequality reactivity to the change in its determinants according to the institutional criterion represents a new approach in this field of research and the results show that the impact of moderating income inequality strategies is limitedin the case of member states with extractive institutions.

Recently, many articles deal with Internet and mobile phones that have penetrated all sectors of the economy, including agriculture, in the light of their benefits. Various reports, including the World Bank, describe the main benefits of new information and communication technologies and promote their greater integration into the wider economy to increase efficiency by completing other production factors and fostering innovation, for example, drastically reducing transaction costs. The article analyzes recent literature but also presents novelty elements that emerged from questions such as the risks associated with new technologies considering that there are not enough studies in the field confirming, on the one hand, the benefits but also the losses caused by them. Keyword: New technology, agriculture, innovation

This paper assesses the impact of telework on economic growth in the European Union using Feasible Generalized Least Squares method, applied to a Panel of 27 Member States, in the period 2010-2019. The econometric model also analyses the impact of the rate of employed population not working from home on the economic growth, to facilitate the comparative analysis of telework and traditional work. The results indicate a greater impact of telework on economic growth, than that exerted by the rate of employed population not working from home, the effect being manifested through the channel of labour productivity. However, the paper examines the short-term relationship between these variables and does not exclude the reduction of the impact of telework on economic growth to a lower level than the specific effect of traditional work, on medium or longterm.

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)