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Publications - 6374
Relationships between cycle theories, sustainable tourism, and the effects of the COVID-19 in Hungary
Publication Name: Economic Annals Xxi
Publication Date: 2020-01-01
Volume: 185
Issue: 9-10
Page Range: 79-90
Description:
Examining cycle theories calls our attention to the fact that tourism will be described by descending and ascending curves within certain periods in the future. According to cycle theories, the downturn in the tourism industry will continue from four to five years. According to the study conducted by the authors, domestic tourism will become more intensive, trips will have spatial limitations, the length of stay will increase, and cars will be the most popular means of transport. As part of the research, the authors surveyed 230 respondents concerning tourism activities. An in-depth interview was carried out with Zoltán Somogyi, a former Deputy Secretary General of the UNWTO, about the possibilities of solving the effects of COVID-19. To address COVID-19 challenges, the Hungarian government is required to make quick decisions. Demand needs to be diversified, and new sustainable tourism products need to be introduced. Visits to Hungary should be extended in space and time, and an interest in domestic tourists in the state should be increased by implementing strong marketing. More serious regulations should be adopted with the participation of local entrepreneurs; more consideration should be given to contactless technologies. In the post-COVID-19 period, the overtourism in Hungary should be replaced by sustainable and creative tourism.
Open Access: Yes
DOI: 10.21003/EA.V185-08
Impact of Green Supply Chain Management on Sustainable Performance: A Dual Mediated-moderated Analysis of Green Technology Innovation And Big Data Analytics Capability Powered by Artificial Intelligence
Publication Name: F1000research
Publication Date: 2025-01-01
Volume: 13
Issue: Unknown
Page Range: Unknown
Description:
Background: This study aims to empirically test a comprehensive interrelationship between green supply chain management (GSCM), green technology innovation (GTI), waste management (WM), big data analytics capability powered by artificial intelligence (BDAC-AI), and their collective impact on sustainable performance (SP) in organizational contexts. Methods: This study was conducted in Pakistan’s food processing sector. The respondents included 495 managers working in the food processing industry. A structural equation modelling (SEM) approach is used to examine direct and indirect relationships between the variables. The originality of this study lies in integration of the technology acceptance model (TAM) and dynamic capability theory (DCT) to understand sustainable practices in the context of the provided model. Results: This study highlights that GSCM, GTI, WM, and BDAC-AI have positive, strong, and direct impacts on SP. Furthermore, GTI and WM only partially mediate the link between GSCM and SP, whereas the two moderate the link. In addition, BDAC-AI had a moderating effect on the relationship between GTI and SP. This study has managerial implications, including strategies that involve the use of theoretical frameworks for technological acceptance and dynamic capabilities to support sustainable initiatives. However, it is worth noting that the findings provide a practical contingency for managers and businesses interested in implementing green studies effectively, improving technologies, and strengthening sustainable performance capabilities. Conclusions: The study extends the literature by establishing a model for operationalizing GSCM in the food processing sector. Furthermore, it adds value in that it first integrates TAM and DCT to explain sustainable operations and their impact on organizations. Furthermore, it extends the existing literature by establishing a relationship between GSCM and SC. It offers a model through which GSCM can be operationalized in the context of the FS sector.
Open Access: Yes
Working While Studying Abroad: Cultural Embeddedness of International Students’ Employment in Hungary
Publication Name: Social Sciences
Publication Date: 2026-03-01
Volume: 15
Issue: 3
Page Range: Unknown
Description:
Student employment has become an increasingly common feature of higher education, yet research on international students has predominantly approached paid work as an economic necessity. This article examines student employment as a culturally embedded social practice among international students in Hungary, focusing on employment patterns and cultural value orientations. The study applies a mixed-methods design, combining a focus group interview with an online questionnaire survey conducted among international students at a Hungarian university (N = 61). Cultural value orientations were measured using Hofstede’s Values Survey Module, and differences between working and non-working students were analyzed using inferential statistical methods. The results show that international students’ employment is dominated by flexible, low-entry-threshold jobs, particularly platform-based delivery work, while study-related or professional positions remain less common and are associated with higher income levels. Employment participation was significantly related to gender and academic year, with male students and those in higher years of study being more likely to work. Regarding cultural value orientations, a statistically significant difference between working and non-working students emerged only along the masculinity–femininity dimension, with working students displaying more performance-oriented values. The findings highlight that international student employment is associated with both structural constraints and culturally grounded value orientations.
Open Access: Yes
Using dispersion models at microscale to assess long-term air pollution in urban hot spots: A FAIRMODE joint intercomparison exercise for a case study in Antwerp
S. Janssen
J. L. Pérez-Camanyo
László Környei
J. L. Santiago
V. Rodrigues
G. Sousa Santos
P. Thunis
E. Rivas
C. Cuvelier
I. Sakellaris
M. G. Villani
Akos Kovacs
B. Liszkai
F. Martín
N. Reiminger
X. Jurado
D. Barbero
J. L. Pérez-Camanyo
R. Jackson
Ákos Kovács
J. Sousa
J. Bartzis
R. San José
G. Tinarelli
J. Stocker
Zoltán Horváth
F. Russo
Publication Name: Science of the Total Environment
Publication Date: 2024-05-15
Volume: 925
Issue: Unknown
Page Range: Unknown
Description:
In the framework of the Forum for Air Quality Modelling in Europe (FAIRMODE), a modelling intercomparison exercise for computing NO2 long-term average concentrations in urban districts with a very high spatial resolution was carried out. This exercise was undertaken for a district of Antwerp (Belgium). Air quality data includes data recorded in air quality monitoring stations and 73 passive samplers deployed during one-month period in 2016. The modelling domain was 800 × 800 m2. Nine modelling teams participated in this exercise providing results from fifteen different modelling applications based on different kinds of model approaches (CFD – Computational Fluid Dynamics-, Lagrangian, Gaussian, and Artificial Intelligence). Some approaches consisted of models running the complete one-month period on an hourly basis, but most others used a scenario approach, which relies on simulations of scenarios representative of wind conditions combined with post-processing to retrieve a one-month average of NO2 concentrations. The objective of this study is to evaluate what type of modelling system is better suited to get a good estimate of long-term averages in complex urban districts. This is very important for air quality assessment under the European ambient air quality directives. The time evolution of NO2 hourly concentrations during a day of relative high pollution was rather well estimated by all models. Relative to high resolution spatial distribution of one-month NO2 averaged concentrations, Gaussian models were not able to give detailed information, unless they include building data and street-canyon parameterizations. The models that account for complex urban geometries (i.e. CFD, Lagrangian, and AI models) appear to provide better estimates of the spatial distribution of one-month NO2 averages concentrations in the urban canopy. Approaches based on steady CFD-RANS (Reynolds Averaged Navier Stokes) model simulations of meteorological scenarios seem to provide good results with similar quality to those obtained with an unsteady one-month period CFD-RANS simulations.
Open Access: Yes
Characterization of edge and scrape-off layer fluctuations using the fast Li-BES system on COMPASS
Publication Name: Plasma Physics and Controlled Fusion
Publication Date: 2019-06-21
Volume: 61
Issue: 8
Page Range: Unknown
Description:
Recently the Lithium-Beam Emission Spectroscopy (Li-BES) system on COMPASS has reached its full diagnostic power in terms of routine automatic operation in any kind of plasma scenarios and it is normally used as a standard tool for reconstruction of ultra fast density profiles in the edge region of COMPASS plasmas. The purpose of this study is to investigate the advantages and limitations of the COMPASS Li-BES system in characterizing plasma electron density fluctuations. We show how the atomic physics of plasma-beam interactions can affect the interpretation of the measurement at different radial positions and for different electron density profiles. We also demonstrate the usability of generalized sequential probability ratio test for automatic event detection. Using non-perturbative diagnostic, we verify the validity of the stochastic Garcia-model for scrape-off layer filaments and accompanying holes (density deficits).
Open Access: Yes
Computational Assessment of Energy Supply Sustainability Using Picture Fuzzy Choquet Integral Decision Support System
Publication Name: Computers Materials and Continua
Publication Date: 2025-01-01
Volume: 85
Issue: 1
Page Range: 1311-1337
Description:
For any country, the availability of electricity is crucial to the development of the national economy and society. As a result, decision-makers and policy-makers can improve the sustainability and security of the energy supply by implementing a variety of actions by using the evaluation of these factors as an early warning system. This research aims to provide a multi-criterion decision-making (MCDM) method for assessing the sustainability and security of the electrical supply. The weights of criteria, which indicate their relative relevance in the assessment of the sustainability and security of the energy supply, the MCDM method allow users to express their opinions. To overcome the impact of uncertainty and vagueness of expert opinion, we explore the notion of picture fuzzy theory, which is a more efficient and dominant mathematical model. Recently, the theory of Aczel-Alsina operations has attained a lot of attraction and has an extensive capability to acquire smooth approximated results during the aggregation process. However, Choquet integral operators are more flexible and are used to express correlation among different attributes. This article diagnoses an innovative theory of picture fuzzy set to derive robust mathematical methodologies of picture fuzzy Choquet Integral Aczel-Alsina aggregation operators. To prove the intensity and validity of invented approaches, some dominant properties and special cases are also discussed. An intelligent decision algorithm for the MCDM problem is designed to resolve complicated real-life applications under multiple conflicting criteria. Additionally, we discussed a numerical example to investigate a suitable electric transformer under consideration of different beneficial key criteria. A comparative study is established to capture the superiority and effectiveness of pioneered mathematical approaches with existing methodologies.
Open Access: Yes
Factors causing depopulation of vulnerable regions: Evidence from Kazakhstan, 2009-2019
Publication Name: Regional Statistics
Publication Date: 2023-01-01
Volume: 13
Issue: 3
Page Range: 559-580
Description:
The methodology for sampling vulnerable regions in Kazakhstan has not been fully developed. This finding highlights the need for further research in this area. The best adaptability to the current economic system is found in urban agglomerations, city centres, and regions with raw material extraction industries and goods in high demand in the global market. However, Kazakhstan's most vulnerable regions are less developed and competitive. Furthermore, these settlements have become impoverished and are currently on the verge of extinction. Additionally, the pandemic has profoundly changed the structure and level of its development, triggering potential vulnera-bility issues, particularly in small settlements where resources and supplies are in short supply. The data analysis pinpointed Kazakhstan's most vulnerable regions, which have a deteriorating environmental status and a lack of social and transportation infra-structure. For the last ten years, these regions have been particularly vulnerable. Data analysis indicated that Kazakhstan's most vulnerable regions have a deteriorating environmental status and lack social and transportation infrastructure. These regions have been particularly vulnerable over the last ten years. The solutions to these challenges lie outside the purview of both the urban and rural levels of government and, therefore, necessitate active government involvement.
Open Access: Yes
DOI: 10.15196/RS130308
The Hungarian Constitutional Court’s Decision on the Protection of Groundwater Decision No. 13/2018. (IX. 4.) AB of the Constitutional Court of Hungary
Publication Name: Hungarian Yearbook of International Law and European Law
Publication Date: 2020-01-01
Volume: 8
Issue: 1
Page Range: 371-382
Description:
On 28 August 2018, the Constitutional Court of Hungary delivered a milestone decision [Decision No. 13/2018. (IX. 4.) AB] in relation to the protection of groundwater with reference to the general protection of the environment as a constitutionally protected value. The President of the Republic pointed out in his petition to the Constitutional Court that two sections of the draft legislation are contrary to the Fundamental Law by violating Articles B(1), P(1) and XXI(1) of the Fundamental Law by permitting water abstraction with much lower standards. Adopted by the majority along with concurring and dissenting opinions, the decision is an important judicial achievement in the general framework of constitutional water and environmental protection. It also confirms the non-derogation principle elaborated by the Constitutional Court. The Constitutional Court had the opportunity and an ‘open mind’ to take into consideration numerous sources of scientific professional evidence on the stock of water and groundwater abstraction. The decision was acclaimed for its environmental orientation, and even more, for developing the 25-year old standards of constitutional review in environmental matters by elaborating on the implicit substance of several articles enshrined in the new Fundamental Law (e.g. Articles P and XXI).
Open Access: Yes
Discrete Element Modelling Analysis of Particle Breakage Criteria in Direct Shear Tests
Publication Name: Advances in Transdisciplinary Engineering
Publication Date: 2024-01-01
Volume: 59
Issue: Unknown
Page Range: 60-66
Description:
Discrete Element Modelling (DEM), employing the replacement method, has been extensively utilized to investigate the micro and macroscopic behavior of soil with particle breakage. Despite numerous breakage criteria proposed in the literature, an agreement on the most appropriate criterion remains unclear. In this study, three-dimensional DEM analyses were conducted using Particle Flow Code (PFC3D) to assess stress distribution and identify potential locations of particle crushing during direct shear tests for coarse sand subjected to different high normal stresses. The investigation focused on employing a breakage criterion featuring Weibull distribution of particle strengths and considers the effect of particle size on average strength to predict the occurrence of fractures. Various breakage criteria, including major principal stress, mean stress, octahedral shear stress within a particle, and stress calculated from the maximum contact force on a particle, were each examined. The findings indicate that potential crushable particles were predominantly situated near diagonal shear band. Notably, results demonstrate that criteria based on octahedral shear stress and maximum contact force prove more effective in accurately reproducing the concentration of crushed particles near the shear band.
Open Access: Yes
DOI: 10.3233/ATDE240527
