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Found 6414 publications

Chinese and Indian FDI in Hungary and the role of Eastern Opening policy

Eszter Lukács Katalin Völgyi

Publication Name: Asia Europe Journal

Publication Date: 2021-06-01

Volume: 19

Issue: 2

Page Range: 167-187

Description:

The aim of this paper is to assess the main features of Chinese and Indian investments in Hungary and the role of the Hungarian Government’s Eastern Opening policy in the attraction of investments from these two Asian giants. This paper covers the sectoral distribution, modes of market entry, and motivations of Chinese and Indian foreign direct investments. The automotive sector is the most attractive sector for investors from both countries. ICT manufacturing (electronics) and services, and the renewable energy sector are also very attractive for Chinese companies. The same is true for IT/BPO services and the chemical sector in the case of Indian companies. Chinese and Indian companies enter the Hungarian economy mainly through green-field investments or acquisitions. Market-seeking and strategic asset-seeking motives are dominant in the case of investors from both countries. This paper also puts a special emphasis on studying the impacts of Hungary’s Eastern Opening policy (launched in 2012) on Chinese and Indian investments. The findings show that the Eastern Opening policy has had a significant impact on the investment decision (location choice) of new Chinese and Indian investors and further expansion of investments by Chinese and Indian companies located in Hungary due to four factors, namely high-ranking political meetings, strategic cooperation agreements, cash grants from the Hungarian Government and supportive services of HIPA.

Open Access: Yes

DOI: 10.1007/s10308-020-00592-1

Social services in the social security system of family support

Ivett Szombati

Publication Name: Orvosi Hetilap

Publication Date: 2019-02-01

Volume: 160

Issue: Unknown

Page Range: 43-48

Description:

Introduction and aim: In my study, analysing the data available from the change of the regime to the present day, from among the social services, I examine the changes of the financial support relating to children and its parts which are currently financed from the budget of the National Health Insurance Fund of Hungary, with special emphasis on the Child Care Benefit and the Child Care Allowance and their modifications. Data and methods: Within the framework of our research, we analyze – through data from the National Health Insurance Fund of Hungary, the Hungarian Central Statistical Office, the Organisation for Economic Co-operation and Development (OECD) and the Hungarian State Treasury as well as on the basis of literature review – the social financial support and its changes, within the family policy system. Results: Hungarian family policy is still driven by the attitude of staying at home for three years with the child. The long period spent at home with the children fundamentally affects the adjustment of mothers to the labour market which has a direct effect on the economic productivity. Even though according to the current regulations, mothers are allowed to work full-time besides receiving child care allowance after their child fills 6 months, part-time employment and telework is still in its infancy compared to the Western-European countries. Based on our research, high percentage of families go for the child care benefit directly after the birth of the child thus not participating in the labour market processes. Besides if they do participate, the percentage of employment on minimal wage is still very high which means that in 2016–2017 36% of families with two breadwinners and two children were forced to survive on subsistence income. Conclusion: In the examined period, we found that social and family policy changes unfortunately were not able to react sufficiently to the demographic challenges despite Hungary spending significantly more on family policy than other European and OECD countries.

Open Access: Yes

DOI: 10.1556/650.2019.31395

A fast and stable multi-level solution technique for the method of fundamental solutions

Csaba Gáspár

Publication Name: Lecture Notes in Computational Science and Engineering

Publication Date: 2019-01-01

Volume: 129

Issue: Unknown

Page Range: 19-42

Description:

The classical form of the Method of Fundamental Solutions is applied. Instead of using a single set of subtly located external sources, a special strategy of defining several sets of external source points is introduced. The sets of sources are defined by the quadtree/octtree subdivision technique controlled by the boundary collocation points in a completely automatic way, resulting in a point set, the density of the spatial distribution of which decreases quickly far from the boundary. The ‘far’ sources are interpreted to form a ‘coarse grid’, while the densely distributed ‘near-boundary’ sources are considered a ‘fine grid’ (despite they need not to have any grid structure). Based on this classification, a multi-level technique is built up, where the smoothing procedure is defined by performing some familiar iterative technique e.g. the (conjugate) gradient method. The approximate solutions are calculated by enforcing the boundary conditions in the sense of least squares. The resulting multi-level method is robust and significantly reduces the computational cost. No weakly or strongly singular integrals have to be evaluated. Moreover, the problem of severely ill-conditioned matrices is completely avoided.

Open Access: Yes

DOI: 10.1007/978-3-030-15119-5_2

Elasto-plastic truss optimization under geometric nonlinearity using a genetic algorithm

Pálma Porrogi Majid Movahedi Rad Péter Grubits

Publication Name: Fracture and Structural Integrity

Publication Date: 2026-01-01

Volume: 20

Issue: 75

Page Range: 124-156

Description:

No description provided

Open Access: Yes

DOI: 10.3221/IGF-ESIS.75.10

Sensitivity analysis and optimization of pier shape scour prediction using HEC-RAS

Muhanad Al-Jubouri Ethar H. Abbas Richard P. Ray

Publication Name: Pollack Periodica

Publication Date: 2025-06-27

Volume: 20

Issue: 2

Page Range: 8-15

Description:

Scour around bridge piers threatens bridge stability. This study uses the Hydrologic Engineering Center River Analysis System to improve depth estimates for various pier shapes. The Colorado State University and Froehlich equations were tested with a one-dimensional model calibrated for circular, square, rectangular, oblong, oval, and cylindrical piers. Sensitivity analysis identified coefficients K2, K3, flow velocity, and depth as key factors, with K2 being most significant. The Colorado State University equation overestimated scour depths, especially for square piers. The Froehlich method provided more accurate predictions, confirming the system’s value in hydraulic modeling for bridge stability analysis.

Open Access: Yes

DOI: 10.1556/606.2024.01211

Optimization of Metal Can (bottle) Shapes for Maximizing Waste Container Capacity

Szabolcs Fischer Ádám Titrik Mykola Sysyn Dmytro Kurhan

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2026-01-01

Volume: 23

Issue: 1

Page Range: 215-230

Description:

Effective waste management is key to creating more sustainable cities. This study explores a straightforward but impactful way to enhance waste collection efficiency – by optimizing the compaction of metal cans. Various methods of compressing metal containers, including hand and foot compression (middle, full diameter, and full height), were tested to see how much they could reduce the volume of these cans. Our simulations showed that full-height and full-diameter compression were the most effective, significantly increasing container capacity by minimizing empty space. This approach is not only practical but scalable, offering waste management operators a clear pathway to improving resource efficiency. Beyond the immediate benefits of reduced collection frequency and lower fuel consumption, this method contributes to broader sustainability goals by minimizing the carbon footprint associated with waste management. These findings have wide-ranging implications, from urban policy-making to everyday waste disposal practices, highlighting a simple yet transformative step toward a cleaner environment.

Open Access: Yes

DOI: DOI not available

Comparison of supply chain management (SCM) adoption at small and medium-sized enterprises (SMEs): A review from Hungary and Indonesia

Santi Setyaningsih Peter Kelle

Publication Name: Journal of International Studies

Publication Date: 2021-01-01

Volume: 14

Issue: 3

Page Range: 26-42

Description:

Large enterprises recognized first the importance of Supply Chain Management (SCM) strategy to achieve competitive advantage and process efficiency. Small and Medium-Sized Enterprises (SMEs) have specific challenges in adaptation. The authors conjectured that geographical and supply chain differences have a major effect on the adaptation level of SCM strategy and methods, especially for SMEs. To investigate it, this paper compares two countries, Hungary, and Indonesia. The research focus is on SMEs, based on a cross-sectional survey of 274 Hungarian and 110 Indonesian enterprises with informants mainly related to top management. The data indicated that in Indonesia, with a larger, more complex geographical structure and more advanced SCM capabilities, the SMEs have a higher implementation level of SCM strategy in their organization strategy compared to Hungary. However, the sample indicates that the tendencies are similar in both countries interpreting the inter-enterprise value chain and in utilizing SCM methods for cooperation with other parties, mostly using Vendor Managed Inventory (VMI) and Just in Time (JIT).

Open Access: Yes

DOI: 10.14254/2071-8330.20211/14-3/2

Joint audit work allocation in the mandatory joint audit setting: a comparative study between the developed and the emerging economies

Árpád Tóth Katalin Borbély Mohammed Ibrahem Ali Hassan

Publication Name: Cogent Business and Management

Publication Date: 2026-01-01

Volume: 13

Issue: 1

Page Range: Unknown

Description:

This study investigates the effects of joint audit work allocation on audit quality, fees, and report delays. It analyzes data from 347 non-financial listed firms in France and Morocco. Audit fee shares serve as a proxy for workload distribution. The findings reveal notable differences between France and Morocco. At the macro level, there is no statistically significant relationship between joint audit work allocation and either audit quality or audit report delays in France. However, greater imbalances in work allocation are associated with higher audit fees. In Morocco, greater imbalances in the allocation of work are associated with lower audit quality, higher fees, and longer delays. At the joint audit pair level, most pairs in both countries exhibit no significant relationship between work allocation and audit quality, fees, or report delays. Nevertheless, specific French and Moroccan pairs with greater imbalances in work allocation experience higher audit fees and longer delays. Regarding company size, joint audit work allocation has a minimal effect on audit quality, fees, and delays among large firms. As unbalanced joint audits have parallels to single audits, our findings contribute to current discussions of their comparative advantages and disadvantages. This study provides valuable and practical insights for a wide audience, including investors, board members, practitioners, academics, and policymakers.

Open Access: Yes

DOI: 10.1080/23311975.2026.2640254

Develping artificial intelligence technology to support cattle identification, animal health and welfare solutions

Szabó István Tőzsér János Tarr Bence

Publication Name: Magyar Allatorvosok Lapja

Publication Date: 2023-01-01

Volume: 145

Issue: 11

Page Range: 651-660

Description:

Artificial Intelligence (AI) has become an important tool for optimising breeding processes in several areas of animal production. In this thesis, we have presented examples from the literature, mainly for the identification and counting of cattle. The individual identification of animals, the monitoring of their behaviour and the control of their movements support a number of conclusions from both animal welfare and veterinary point of view. Automation of the processing of captured images has also become essential. This process is supported by Artificial Intelligence. Deep learning and neural networks are excellent tools for segmenting images and processing their content based on different features. Convolutional neural networks are specifically powerful for such tasks and we have seen that further developments of these networks (e.g. Faster R-CNN) allow even more efficient image analysis procedures. Processing animal images can be a major step forward for automatic analysis and identification of livestock. It also allows early intervention in the event of disease. In the context of individual identification, it is important to underline that, when complemented with other measurement options, e.g. sensor measurements, it offers even more complex applications that have not been available so far.

Open Access: Yes

DOI: 10.56385/magyallorv.2023.11.651-660