TY - JOUR AU - Kuruczleki, Éva AU - Kazár, Klára TI - A pénzügyi eredményességet befolyásoló kompetenciák vizsgálata dél-alföldi mikrovállalkozások körében JF - GAZDASÁG ÉS PÉNZÜGY J2 - GAZDASÁG ÉS PÉNZŰGY VL - 11 PY - 2024 IS - 1 SP - 111 EP - 132 PG - 22 SN - 2415-8909 DO - 10.33926/GP.2024.1.6 UR - https://m2.mtmt.hu/api/publication/34687826 ID - 34687826 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Kovács, Bence Gábor TI - A hazai felsőoktatási alap- és mesterszakos informatikusképzések térbelisége, 2005–2021 JF - TERÜLETI STATISZTIKA J2 - TERÜLETI STATISZTIKA VL - 63 PY - 2023 IS - 6 SP - 722 EP - 739 PG - 18 SN - 0018-7828 DO - 10.15196/TS630603 UR - https://m2.mtmt.hu/api/publication/34426571 ID - 34426571 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Kovács, Péter AU - Bodnár, Gábor AU - Lengyel, Imre TI - Relationships between factors of regional competitiveness in Central and Eastern Europe JF - JOURNAL OF INTERNATIONAL STUDIES J2 - J INT STUDIES VL - 16 PY - 2023 IS - 3 SP - 78 EP - 96 PG - 19 SN - 2071-8330 DO - 10.14254/2071-8330.2023/16-3/4 UR - https://m2.mtmt.hu/api/publication/34190734 ID - 34190734 LA - English DB - MTMT ER - TY - JOUR AU - Okwan, Frank AU - Kovács, Péter TI - Examining the Causal Effect of Social Development on Maternal Mortality in Sub-Saharan Africa Using Partial Least Squares (PLS) Structural Equation Modeling (SEM) JF - Pure and Applied Mathematics Journal J2 - PAMJ VL - 12 PY - 2023 IS - 2 SP - 23 EP - 33 PG - 11 SN - 2326-9790 DO - 10.11648/j.pamj.20231202.11 UR - https://m2.mtmt.hu/api/publication/34087327 ID - 34087327 AB - Abstract: The threat of a woman in a low-income economy dying due to pregnancy and childbirth-related complications during her lifetime is about 120 times higher than for a woman living in a high-income economy. Social factors are seen as important factors contributing to maternal mortality and the conceptual framework developed for the reduction of maternal mortality has found the need to include social factors in intervention for maternal mortality reduction. The objective of this study is to examine the effect of social development on maternal mortality in Sub-Saharan Africa by applying Sen’s development theory and the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique. The result of the empirical analysis shows that social development has both direct and indirect effects on maternal mortality. The direct effect is greater than the indirect effect. The direct effect is the effect of social development on reproductive capability, and the indirect effect is the effect of social development on maternal mortality through reproductive capability and freedom. The result also reveals a direct and positive effect of economic and political development on social development. Social development has the greatest effect on maternal mortality, compared to all the other effects in the model. The result of the PLS-SEM analysis and the final model supports all the hypotheses for the study. Keywords: Maternal Mortality, PLS-SEM, Sen’s Theory, Sub-Saharan Africa, Social Development LA - English DB - MTMT ER - TY - JOUR AU - Ismet, Gocer AU - Kovács, Péter TI - The effects of geopolitical risks on tourism revenues of the Middle East and Asian countries JF - THEORETICAL AND APPLIED ECONOMICS / ECONOMIE TEORETICA SI APLICATA J2 - THEORETICAL AND APPLIED ECONOMICS VL - 30 PY - 2023 IS - 1 (634) SP - 77 EP - 90 PG - 14 SN - 1841-8678 UR - https://m2.mtmt.hu/api/publication/34084515 ID - 34084515 AB - In this study; the effects of Geopolitical Risks (GPR) on tourism revenue of the Middle East and Asia countries were examined by using panel data analysis under the cross-section dependency for the 1995-2021 period. According to the results, GPR has negative effects on tourism income in China, Hong Kong, India, Malaysia and Korea. Relative prices have a positive effect on tourism income in Indonesia, Malaysia, S. Arabia and Thailand. There are causality relations between GPR to tourism income in China, Hong Kong, Israel, Malaysia, Philippines, Russia, Korea and Thailand. Relative prices affect the tourism income in China, Hong Kong, Israel, Malaysia, Thailand and Turkey. LA - English DB - MTMT ER - TY - JOUR AU - Lukovics, Miklós AU - Prónay, Szabolcs AU - Majó, Zoltán AU - Kovács, Péter AU - Ujházi, Tamás AU - Volosin, Márta AU - Palatinus, Zsolt AU - Keszey, Tamara TI - Combining survey-based and neuroscience measurements in customer acceptance of self-driving technology JF - TRANSPORTATION RESEARCH PART F - TRAFFIC PSYCHOLOGY AND BEHAVIOUR J2 - TRANSPORT RES F-TRAF VL - 95 PY - 2023 SP - 46 EP - 58 PG - 13 SN - 1369-8478 DO - 10.1016/j.trf.2023.03.016 UR - https://m2.mtmt.hu/api/publication/33731216 ID - 33731216 LA - English DB - MTMT ER - TY - CHAP AU - Kovács, Péter AU - Kazár, Klára AU - Kuruczleki, Éva ED - Ridgway, Jim TI - Implementing Civic Statistics in Business Education: Technology in Small and Large Classrooms T2 - Statistics for Empowerment and Social Engagement PB - Springer International Publishing CY - Cham SN - 9783031207488 PY - 2022 SP - 345 EP - 368 PG - 24 DO - 10.1007/978-3-031-20748-8_14 UR - https://m2.mtmt.hu/api/publication/33722219 ID - 33722219 AB - Introducing Civic Statistics is of high importance in business education as its multidisciplinary nature helps students to develop complex and critical thinking and also to link different areas of their studies. In this chapter we share our hands-on experiences on the implementation of Civic Statistics both in large and small classrooms and highlight the differences between the techniques and topics employed in different circumstances. The study materials developed include topics such as the ageing society, poverty and income inequality, social and business networks and even financial literacy, the implementation of which will be discussed in detail in this chapter. The challenges of introducing Civic Statistics in a small or a large classroom in business education are different, and both are described here. In general, we received positive feedback from students: the social themes explored facilitated increased engagement and participation, and students welcomed the topics and tools—even though they are rather unusual compared to their ‘ordinary’ statistics classes. LA - English DB - MTMT ER - TY - CHAP AU - Kovács, Péter AU - Kazár, Klára AU - Kuruczleki, Éva ED - Ridgway, Jim TI - Seeing Dynamic Data Visualizations in Action: Gapminder Tools T2 - Statistics for Empowerment and Social Engagement PB - Springer International Publishing CY - Cham SN - 9783031207488 PY - 2022 SP - 179 EP - 198 PG - 20 DO - 10.1007/978-3-031-20748-8_8 UR - https://m2.mtmt.hu/api/publication/33722213 ID - 33722213 AB - Citizens need sophisticated ways of thinking in order to understand complex, real social and economic phenomena and to interpret relationships among social and business data correctly. Huge amounts of data, data sources and visualization tools provide an opportunity to illustrate complex relations within real data. At the same time, the misuse of these tools can lead to misinterpretations and in turn perhaps to poor decision making. The Gapminder Foundation has developed several visualization tools (using bubble charts, trend lines, ranks, maps, etc.) in order to facilitate the exploration of complex relationships between variables, to rank countries, and to explore things such as time series, age distributions and income distributions. The goals of this chapter are to: show these different tools in action in classes exploring poverty and the ageing society; to describe their advantages and disadvantages; and to compare. LA - English DB - MTMT ER - TY - JOUR AU - Bodnár, Gábor AU - Kovács, Péter AU - Egri, Zoltán TI - Elements of Endogenous Development in the Regions of Visegrad Countries JF - DETUROPE: THE CENTRAL EUROPEAN JOURNAL OF REGIONAL DEVELOPMENT AND TOURISM J2 - DETUROPE VL - 14 PY - 2022 IS - 1 SP - 29 EP - 49 PG - 21 SN - 1821-2506 DO - 10.32725/det.2022.002 UR - https://m2.mtmt.hu/api/publication/32918762 ID - 32918762 LA - English DB - MTMT ER - TY - JOUR AU - Kovács, Péter AU - Lukovics, Miklós TI - Factors influencing public acceptance of self-driving vehicles in a post-socialist environment: Statistical modelling in Hungary JF - REGIONAL STATISTICS J2 - REG STAT VL - 12 PY - 2022 IS - 2 SP - 149 EP - 176 PG - 28 SN - 2063-9538 DO - 10.15196/RS120206 UR - https://m2.mtmt.hu/api/publication/32683908 ID - 32683908 LA - English DB - MTMT ER -