AbstractEnergy and environment views of over 10,000 American respondents are captured in a complex survey created by the Pew Research Center (PRC). This paper is based on data collected during a panel wave that took place in May 2022. The survey aims to capture the nuanced perspectives of a nationally representative group of U.S. adults, with particular attention to ensuring participation from traditionally underrepresented or hard‐to‐reach demographics. To analyze the responses, we cluster raw and encoded data and identify the main groups of respondents and their characteristics. Three main clusters are identified using K‐means (silhouette score of .78) with a larger cluster "Mainstream Respondents" that shows moderate views on energy and environmental issues. The second cluster "Outliers or Niche Group" is the smallest cluster representing respondents with unique or extreme views, high income or education levels or specific demographic attributes that set them apart from the majority. The third cluster "Specific Interest Group" has moderate size and characteristics that are distinct but not as extreme as the second cluster. On the other hand, two more balanced clusters (4265/6017) are obtained with K‐modes (Davies–Bouldin Index 2.61) using the unencoded data: "Traditional Energy Advocates" highlights the cluster's preference for traditional energy sources over alternative or renewable energy sources (RES), and "Sustainable Future Supporters" emphasizes the cluster's support for environmental sustainability and RES. These names aim to succinctly capture the essence of each cluster's predominant attitudes toward energy and environmental issues, reflecting their preferences and priorities. The results are significant for understanding trends within the U.S. population, informing policymakers and contributing to academic research.
AbstractThis research examines the impact of economic policy uncertainty, GDP, population and renewable energy consumption on CO2 emissions in BRIC countries from 1991 to 2023. The objective is to understand the long-term relationships among these variables and provide relevant insights. Using fully modified ordinary least squares and dynamic ordinary least squares econometric methods, the findings reveal that GDP and population growth significantly increase CO2 emissions, while renewable energy consumption reduces them. The panel autoregressive distributed lag results highlight the need for policies promoting renewable energy and managing population growth to mitigate environmental impacts. Notably, economic policy uncertainty also contributes to higher emissions, underscoring the importance of stable economic policies.
AbstractAI advancements are poised to substantially modify human abilities in the foreseeable future. They include the integration of Brain–Computer Interfaces (BCIs) to augment cognitive functions, the application of gene editing, and the utilization of AI‐powered robotic exoskeletons to enhance physical strength. This study employs a comprehensive analytical framework combining factor analysis, clustering, ANOVA, and logistic regression to investigate public attitudes toward these transformative technologies. Our findings reveal three distinct clusters of public opinion reflecting varying optimism and concern toward AI technologies. Cluster 1 (1574 participants) held a positive view with high excitement while Cluster 2 (1334 participants) showed a balanced stance. Cluster 3 (2199 participants) expressed heightened concern despite some excitement. Notably, regional disparities, particularly between urban and rural participants, emerge as a prominent factor influencing these attitudes (ANOVA, F = 15.2, p < 0.001). Furthermore, logistic regression identifies key influencers of public perception, highlighting the significant roles played by religion and regional factors. The implications of these findings extend beyond understanding public sentiment. They underscore the need for informed policies that promote education and awareness about AI technologies, address ethical concerns, and engage the public in decision‐making processes. As society navigates this transformative technological landscape, a nuanced understanding of public attitudes becomes paramount, guiding ethical regulation, innovation, and public engagement strategies. This study provides valuable insights into the intricate dynamics surrounding AI acceptance and highlights the importance of adapting measures to evolving perceptions and attitudes among the general public.
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)