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personal data approved: 2023. VII. 14.
Personal data
name István György Bessenyei
name of institution
doctoral school
PTE Doctoral School of Business Administration (Academic staff member)
the share of work in the different doctoral schools. PTE Doctoral School of Business Administration 24%
PTE Doctoral School in Regional Policy and Economics 76%
accreditation statement submitted to: University of Pécs
HAC accreditation
full compliance
(2019. VII. 19.)
Contact details
E-mail address essenyeiktk.pte.hu
phone number +36 72 501-599/3151
Academic title
scientific degree, title Ph.D.
year degree was obtained 2003
discipline to which degree belongs economics
institution granting the degree Pécsi Tudományegyetem (to be translated)
scientific degree, title Habilitation
year degree was obtained 2011
discipline to which degree belongs economics
institution granting the degree University of Pécs
Employment
1985 - University of Pécs
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 2
number of students who fulfilled course requirements 1
students who obtained their degrees:
Katalin Atanazovné Hartung PhD 2019  DSRPE
Tamás Sebestyén PhD 2011  DSBA

  Thesis topic proposals
Research
research area economic dynamics the economics of natural resources soft budget constraint
research field in which current research is conducted economics
mathematics and computing
Publications
2021

Bessenyei I: Keserű igazságok Kornai Jánostól, SZIGMA 52: (4) pp. 293-303.
type of document:
language: Hungarian
URL 
2021

Bessenyei István: Önmagukat újratermelő megszorítások - a közepes fejlettség csapdájában, SZIGMA 52: (2) pp. 127-148.
type of document: Journal paper/Article
language: Hungarian
URL 
2020

Bessenyei István: A matematikai közgazdaságtan széleskörű alkalmazása felé, SZIGMA 51: (1) pp. 25-31.
type of document: Journal paper/Article
language: Hungarian
URL 
2020

Bessenyei István: A főáramú közgazdaságtan előrejelzése a koronavírus járvány várható következményeiről, TUDÁSMENEDZSMENT 21: (klsz) pp. 181-185.
type of document: Journal paper/Article
language: Hungarian
URL 
2020

Bessenyei István: Technikai haladás a közepes fejlettség csapdájában, ALKALMAZOTT MATEMATIKAI LAPOK 37: (2) pp. 181-194.
type of document: Journal paper/Article
language: Hungarian
URL 
2016

Bessenyei István: Vállalati stratégia a lineáris tevékenységelemzés modelljében, INTERNATIONAL JOURNAL OF ENGINEERING AND MANAGEMENT SCIENCES / MŰSZAKI ÉS MENEDZSMENT TUDOMÁNYI KÖZLEMÉNYEK 1: (1) 4799
type of document: Journal paper/Article
number of independent citations: 3
language: Hungarian
URL 
2015

Bessenyei István: Alternative Implications of Increasing Corruption for Endogenous Growth, STRATEGIC MANAGEMENT: INTERNATIONAL JOURNAL OF STRATEGIC MANAGEMENT AND DECISION SUPPORT SYSTEM IN STRATEGIC MANAGEMENT 20: (3) pp. 3-13.
type of document: Journal paper/Article
language: English
2013

Bessenyei István: Az ideológia hálójából a mennyiségi hajsza csapdájába, KÖZGAZDASÁGI SZEMLE 60: (10) pp. 1140-1151.
type of document: Journal paper/Article
number of independent citations: 1
language: Hungarian
Full text 
2013

Bessenyei István: Optimális munkakínálat rászorultsági nyugdíjrendszer mellett, SZIGMA 44: (3-4) pp. 97-112.
type of document: Journal paper/Article
language: Hungarian
2005

Bessenyei István: Does market value maximization affect the order of resource exploitation?, ECONOMIC MODELLING 22: (6) pp. 1090-1104.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
Number of independent citations to these publications:
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
64
number of scientific publications:
64
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
1 
number of independent citations to scientific publications and creative works:
22

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )