DOI: 10.11118/978-80-7701-073-3-0023
THE IMPACT OF INNOVATION ON THE EFFICIENCY OF HEALTH EXPENDITURES IN HUNGARY
- Ilona Gál1, László Pataki1
- 1 John von Neumann University, Doctoral School of Management and Business Administration, Infopark sétány 1., 1117 Budapest, Hungary
The research can contribute to the decision process of the decision makers to help them decide where and how much resources to allocate, to establish the most efficient use of the funds, the range of applicants and the activities eligible for funding. Especially in Hungary, the much-targeted health innovation is supported by the central budget, private sources are not prevalent.
Keywords: health innovation, R&D strategy, PAM50
pages: 23-25, online: 2025
References
- KULTURÁLIS ÉS INNOVÁCIÓS MINISZTÉRIUM. 2023. Neumann János Programm. Budapest: Kulturális és Innovációs Minisztérium. https://cdn.kormany.hu/uploads/document/9/9c/9c4/9c456efcdb6b945893a284dcc8ba2e455f7188a1.pdf
- OECD/EUROSTAT. 2018. Oslo Manual 2018: Guidelines for Collecting, Reporting and Using Data on Innovation. 4th Edition. The Measurement of Scientific, Technological and Innovation Activities, Paris/Eurostat, Luxembourg: OECD Publishing. https://doi.org/10.1787/9789264304604-en
Go to original source... - AL-HANAKTA, R., ILLÉS, B.CS., DUNAY, A., ABDISSA, G.S., ABDI, K. M. 2021. The Effect of Innovation on Small and Medium Enterprises: A Bibliometric Analysis. Visegrad Journal on Bioeconomy and Sustainable Development. 10(1), 35-50. https://doi.org/10.2478/vjbsd-2021-0008
Go to original source... - ABDURAZZAKOV, O., ILLÉS, B.CS., JAFAROV, N., ALIYEV, K. 2020. The Impact of Technology Transfer on Innovation. Polish Journal of Management Studies. 21(2), 9-23. https://doi.org/10.17512/pjms.2020.21.2.01
Go to original source... - VITÉZ-DURGULA, J., DUNAY, A., THALMEINER, G., VAJAI, B., PATAKI, L. 2023. Financial Analysis and Survival Research of the Visegrad Countries' Health Industries. Sustainability. 15(16), 12360. https://doi.org/10.3390/su151612360
Go to original source... - DANK, M., MÜHL, D., PÖLHÖS, A., CSANDA, R., HEROLD, M., KOVACS, A.K., MADARAS, L., KULKA, J., PALHAZY, T., TOKES, A.-M., TOTH,M., UJHELYI, M., SZASZ, A. M., HEROLD, Z. 2023. The Prediction Analysis of Microarray 50 (PAM50) Gene Expression Classifier Utilized in Indeterminate-Risk Breast Cancer Patients in Hungary: A Consecutive 5-Year Experience. Genes. 14(9), 1708. https://doi.org/10.3390/genes14091708
Go to original source...

