Social Learning in Disadvantaged Municipalities in Hungary

Authors

DOI:

https://doi.org/10.3991/ijet.v18i11.39347

Keywords:

social learning, human potential, rural area, social enterprise

Abstract


The aim of the study is to measure the human resource potential of the North-Hungarian region in Hungary by developing and estimating a human development index at the level of municipalities. The results of the calculations will be produced for the last 3 census years (1990, 2001, 2011), showing which municipalities have the strongest human resource potential. In disadvantaged municipalities with low human development, there is an increased need for a social learning process. The existence of social enterprises can further strengthen the population retention capacity of a municipality, especially when targeted improvements and innovations are created. The study describes a successful social enterprise in a deprived municipality.

Author Biography

Katalin Lipták, associate professor

Dr. Katalin Lipták is an associate professor, head of department at the Labour Market and Employment Policy and vice-dean at the Faculty of Economics of the University of Miskolc. She graduated in Economist at the University of Miskolc, Faculty of Economics in 2008 and she graduated in Law at the University of Miskolc, Faculty of Law in 2015. Her research topic is the labour market and rural development, especially in the Central-Eastern-European region. She defended her Ph.D. dissertation in 2013. The essence of her professional interest is how changed the labour market and how social innovation can help disadvantaged municipalities. She is the member of the Hungarian Regional Science Association till 2008. She is editor-in-chief of Socialis Series in Social Science journal and the member of the editorial board of Tér és Társadalom and Észak-magyarországi Stratégiai Füzetek journal.

Cover iJET Vol. 18 No. 11 (2023)

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Published

2023-06-07

How to Cite

Lipták, K. (2023). Social Learning in Disadvantaged Municipalities in Hungary. International Journal of Emerging Technologies in Learning (iJET), 18(11), pp. 147–157. https://doi.org/10.3991/ijet.v18i11.39347

Issue

Vol. 18 No. 11 (2023)

Section

Papers

License

Copyright (c) 2023 Katalin Liptak

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