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Found 6674 publications

Quantifying the role of digitalization, financial technology, governance and SDG13 in achieving environment conservation in the perspective of emerging economies

Publication Name: Environment Development and Sustainability

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Digitalization and fintech are essential in improving financial service delivery and helping businesses and consumers manage their financial services better. Since its successful trial during the COVID-19 measures, digitalization and fintech have emerged as a new hope for low-carbon sustainable economic development. Therefore, advanced and emerging economies concentrate on digitalization (DIG) and fintech to meet carbon neutrality requirements. Thus, this study helps understand the significance of elements in gaining environmental conservation and aims to develop a relevant relationship between digitalization, fintech, SDG13, and governance. To achieve the abovementioned objectives of this study, some modern and traditional econometric tools and methods were adopted, such as ARDL and Q-ARDL, to assess the selected emerging economies dataset from 1990 to 2022. The results of this study show that the study’s components are crucial in achieving environmental preservation over the long run in emerging economies. Moreover, Q-ARDL indicates that every factor in this study influences environmental conservation in different quantiles. Consequently, the Environmental Kuznets curve prevails in the economy, and the long-term attainment of carbon neutrality is greatly assisted by digitization, fintech, governance, and SDG13. Hence, it is essential to implement extensive and far-reaching policy measures in various domains such as environmental regulations, promotion of the digital economy, regulation and sustainable technology, and utilization of clean energy resources.

Open Access: Yes

DOI: 10.1007/s10668-024-05940-4

Analysis of vehicle-pedestrian and bicyclist conflicts in Győr-Hungary using Swedish conflict technique

Publication Name: Acta Technica Jaurinensis

Publication Date: 2021-11-24

Volume: 14

Issue: 4

Page Range: 377-405

Description:

Increasing traffic volumes leads to changes in traffic conditions, especially at intersections. These changes affect the ability of Vulnerable Road Users (VRUs) such as pedestrians and bicyclists to cross the road safely, especially at un-signalized crossings (without traffic lights), where many road users are conflicting at the same point of the road and neglecting 'in some cases' the priority issue. Although the emphasis on pedestrian safety has recently increased, there is still a need to analyze the causal factors of VRUs accidents and define their relationship to road design characteristics. This paper presents a study bout vehicle – pedestrian and bicyclist conflicts analysis using Swedish conflict technique at three un-signalized pedestrian crossings in the city of Győr-Hungary, where some pedestrian accidents were happened between 2014 and 2018, and reported based on accidents database in Hungary. The aim is to analyse vehicle-pedestrian and bicyclist interactions, and evaluate the severity of conflicts with the help of the Swedish technique graph. The findings concluded that there is a compatibility between Swedish conflict technique and accident records with regard to conflicts severity and the probability of accidents occurrence.

Open Access: Yes

DOI: 10.14513/actatechjaur.00605

CHANGING FINANCIAL SYSTEM ARCHITECTURE UNDER THE INFLUENCE OF THE FINTECH MARKET: A LITERATURE REVIEW

Publication Name: Management Croatia

Publication Date: 2023-01-01

Volume: 28

Issue: 2

Page Range: 93-102

Description:

In the past seven decades, especially since the Global Financial Crisis, the financial system’s architecture has changed significantly around the world. New financial market entrants, such as fintech start-up companies, offer financial products and services more efficiently than established financial institutions (especially banks and insurance companies), bypassing the regulatory requirements established intermediaries must comply with. Despite the heterogeneity in the fintech concept, we use this term to consider innovations in financial products and services based on emerging information and communication technologies (i.e., information technology and mobile connectivity) as solutions that are changing the financial structure worldwide. Although the share of new participants in the financial system is rather small compared to the incumbents, fintech innovations are continuously advancing (e.g., crowdfunding, marketplace lending, cryptocurrencies, copy trading, robo-advice, insurtech, etc.), and their share is growing fast. This paper provides an overview of the fintech market and its impact (actual and potential) on the financial system’s architecture based on a comprehensive review of the theoretical and empirical literature..

Open Access: Yes

DOI: 10.30924/mjcmi.28.2.7

Physical Internet: A solution for the Supply Chain disruptions during the COVID-19 pandemic

Publication Name: Acta Technica Jaurinensis

Publication Date: 2021-11-24

Volume: 14

Issue: 4

Page Range: 577-598

Description:

In this paper, we will specify our research on the impact of the COVID19 on Supply Chain Management and show up the critical issues and how the digital solution like the Physical Internet (PI, π) could solve the disruptions of production or delivery of a Supply Chain. The Physical Internet is still an emerging phenomenon in which it is intended to replace the current logistics model by encompassing new technologies such as Artificial Intelligence, Big Data, the Internet of Things (IoT), and others. This article aims to compose conceptual research to describe Supply Chain Management problems during the COVID-19 pandemic and represent the Physical Internet as a solution for this disruption based on various journal articles, papers, websites, and managers' experiences. Further, this study helps increase the understanding of scholars and practitioners on how the novel PI paradigm can solve COVID-19-induced Supply Chain disruptions. Furthermore, the Physical Internet and other modern technologies in the business world are necessary and recommended, as these current issues now require quick decisions and up-to-date knowledge.

Open Access: Yes

DOI: 10.14513/actatechjaur.00579

Banking applications of FCM models

Publication Name: Studies in Computational Intelligence

Publication Date: 2019-01-01

Volume: 796

Issue: Unknown

Page Range: 61-72

Description:

Fuzzy Cognitive Map (FCMs) is an appropriate tool to describe, qualitatively analyze or simulate the behavior of complex systems. FCMs are bipolar fuzzy graphs: their building blocks are the concepts and the arcs. Concepts represent the most important components of the system, the weighted arcs define the strength and direction of cause-effect relationships among them. FCMs are created by experts in several cases. Despite the best intention the models may contain subjective information even if it was created by multiple experts. An inaccurate model may lead to misleading results, therefore it should be further analyzed before usage. Our method is able to automatically modify the connection weights and to test the effect of these changes. This way the hidden behavior of the model and the most influencing concepts can be mapped. Using the results the experts may modify the original model in order to achieve their goal. In this paper the internal operation of a department of a bank is modeled by FCM. The authors show how the modification of the connection weights affect the operation of the institute. This way it is easier to understand the working of the bank, and the most threatening dangers of the system getting into an unstable (chaotic or cyclic state) can be identified and timely preparations become possible.

Open Access: Yes

DOI: 10.1007/978-3-030-00485-9_7

Effect of variable rate phosphorus and nitrogen fertilizing on winter wheat (Triticum aestivum L.) in Mezőföld, Hungary

Publication Name: Precision Agriculture 2019 Papers Presented at the 12th European Conference on Precision Agriculture Ecpa 2019

Publication Date: 2019-01-01

Volume: Unknown

Issue: Unknown

Page Range: 547-553

Description:

Variable rate technology (VRT) in nutrient management has been developed in order to apply crop inputs according to the required amount of fertilizers. There is an ongoing debate among experts on how to define management zones as well as how to define the required amount of fertilizers for phosphorus and nitrogen replenishment for winter wheat (Triticum aestivum L.) production. The objective of the study reported in this paper was to investigate the effect of variable rate phosphorus and nitrogen fertilizer application in winter wheat in Mezőföld, Hungary. Winter wheat production based on variable rate nutrient treatment resulted in 1.19 t/ha more yield than the farm average while applying an average 108 kg/ha less nitrogen and 37 kg/ha more phosphorus fertilizer.

Open Access: Yes

DOI: 10.3920/978-90-8686-888-9_68

STUDY OF THE TOURIST AND RECREATIONAL LOAD IN THE “KOLSAI LAKES” STATE NATIONAL NATURE PARK, KAZAKHSTAN

Publication Name: Geojournal of Tourism and Geosites

Publication Date: 2025-01-01

Volume: 58

Issue: 1

Page Range: 9-17

Description:

The growing popularity of ecological tourism has led to a significant increase in tourist flows and, consequently, a rise in anthropogenic impacts on the ecosystems of natural areas. This phenomenon poses challenges to the delicate balance of these ecosystems, requiring detailed study and intervention. Studying the dynamics of this process is essential to assess its impact and develop effective measures to prevent critical stress that could lead to irreversible negative changes in the natural environment. The transition to circular tourism is also a major challenge. Using the example of the State National Natural Park “Kolsai Lakes,” located in the southeast of the Almaty region of Kazakhstan, the authors proposed a comprehensive approach to determining the maximum permissible tourist and recreational load. This approach includes expert assessments, calculation methods, and systematic monitoring observations to evaluate the capacity of the park's ecological routes and paths. The research focused on ensuring that these natural areas can sustain their ecological integrity while accommodating visitors. The practical outcomes of the research included the development of recommendations aimed at reducing anthropogenic impacts on the park's routes and paths. These recommendations encompass a combination of technical solutions, organizational strategies, and managerial measures designed to balance tourism with environmental preservation. The measures proposed align with global principles of sustainable tourism and reflect the need for integrated approaches to managing natural resources. The main results emphasize the critical importance of sustainable management methods in maintaining the ecological integrity of the “Kolsai Lakes” State National Nature Park. These findings were derived from field research, where the authors conducted on-site evaluations to gather data and analyze the environmental conditions. The insights gained were systematically organized and presented in tabular form within the article. The study underlines the necessity of ongoing monitoring and adaptive management to address the evolving challenges posed by ecological tourism. By implementing the recommended measures, the park authorities can mitigate potential environmental risks while fostering a harmonious relationship between tourism and nature conservation. This research contributes valuable knowledge to the field of sustainable tourism, offering practical strategies that can be applied to other natural areas facing similar challenges.

Open Access: Yes

DOI: 10.30892/gtg.58101-1386

The role of demographic and socio-economic characteristics in affecting subjective well-being. The case of Hungary

Publication Name: Studies of Transition States and Societies

Publication Date: 2019-01-01

Volume: 11

Issue: 2

Page Range: 3-22

Description:

This paper investigates the influence of various demographic and social factors on the perception of well-being in Hungary. For the purpose of the analysis, various measures of subjective well-being have been developed as dependent variables using both narrower and broader sets of items, and a principal factor analysis was applied to construct normalised indices. Demographic predictors include gender, age, family composition, residence; sociological predictors contain education, labour market position, income and wealth as well as questions on health and religiosity. Hungary is an interesting case to study, given its well-known strong deficit in subjective wellbeing. The phenomenon is particularly motivating in light of the official propaganda from the governing political authorities on the country's economic and social progress. A low level of subjective well-being is confirmed again, partly in international comparisons, partly from the perspective of temporal change. Furthermore, a detailed analysis of the data reveals that Hungarians seem to be markedly divided into higher and lower assessments of well-being on the basis of age, residence and social status. Regression models prove that material conditions have the strongest impact on subjective well-being, even if controlled for education and labour market position. The results concerning subjective-wellbeing raise questions for public policy in Hungary.

Open Access: Yes

DOI: DOI not available

Spectral moment segmentation and spectrogram synthesis for simulation of road vehicle vibrations

Publication Name: Mechanical Systems and Signal Processing

Publication Date: 2022-11-15

Volume: 180

Issue: Unknown

Page Range: Unknown

Description:

Vibration testing procedures relying solely on a Fourier profile can introduce only stationary random vibrations. It is in contrast with the non-stationary and non-Gaussian nature of the Road vehicle vibrations (RVV). The following procedure segments the first four spectral moments of the time–frequency domain of RVV, constructs probability density arrays per frequency bins, and perform simulations according to random segment lengths and -root mean squares, yielding more realistic representations of RVV. The distribution of time- and frequency domain moments and normalized spectral entropies are confronted. The Probability-based spectrogram synthesis (PBSS) offers a data-driven stochastic modelling framework for simulating non-stationary RVV.

Open Access: Yes

DOI: 10.1016/j.ymssp.2022.109408