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Determinants of Sustainable Cross-Border Cooperation: A Structural Model for the Hungarian Context Using the PLS-SEM Methodology

Тип публикацииJournal Article
Дата публикации2022-01-13
scimago Q1
wos Q2
БС1
SJR0.688
CiteScore7.7
Impact factor3.3
ISSN20711050
Renewable Energy, Sustainability and the Environment
Geography, Planning and Development
Management, Monitoring, Policy and Law
Краткое описание

The importance of this research stems from the need to ensure the sustainability of cross-border cooperation through a better understanding of its determinants and causal relationships. While having common features and patterns, cross-border cooperation is always expressed through the relations of specific countries and peoples. Therefore, based upon the PLS-SEM methodology, the authors consider the fundamental factors influencing the external cooperation of Hungary’s transboundary regions. The advantage of the PLS-SEM method is that it enables researchers to simultaneously identify and approximate hidden connections between input data and to construct a regression model describing the relationship between input data. Despite widespread application in economic studies, the authors have not found the use of PLS-SEM for studying cross-border cooperation issues in the current scientific literature. The authors have built a model to assess the hidden factors of cross-border cooperation and to identify the indirect influence of certain factors. The novelty of the research is to identify the determinants of sustainable cross-border cooperation and the relationship between them in a multi-level system of cross-border interaction between businesses, people, and the State. In the Hungarian context, transport infrastructure and business travel are shown to have a direct positive impact on cross-border cooperation. For the first time, tourism and socio-economic conditions have been shown to have powerful but indirect impacts. This work could be the beginning of gathering new evidence on the determinants and causation of cross-border cooperation in the context of other countries. An important finding of the study is the growing importance of indicators of the new, post-industrial economy. As for recommendations, the authors focus on state, regional, and municipal support measures, awareness of the possibilities of cross-border cooperation, the need to develop e-commerce, and alternative energy as a modern basis for converting Hungary’s cross-border position into a competitive advantage.

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ГОСТ |
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Khmeleva G. A. et al. Determinants of Sustainable Cross-Border Cooperation: A Structural Model for the Hungarian Context Using the PLS-SEM Methodology // Sustainability. 2022. Vol. 14. No. 2. p. 893.
ГОСТ со всеми авторами (до 50) Скопировать
Khmeleva G. A., Kurnikova M. V., Nedelka E., Tóth B. I. Determinants of Sustainable Cross-Border Cooperation: A Structural Model for the Hungarian Context Using the PLS-SEM Methodology // Sustainability. 2022. Vol. 14. No. 2. p. 893.
RIS |
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TY - JOUR
DO - 10.3390/su14020893
UR - https://doi.org/10.3390/su14020893
TI - Determinants of Sustainable Cross-Border Cooperation: A Structural Model for the Hungarian Context Using the PLS-SEM Methodology
T2 - Sustainability
AU - Khmeleva, Galina Anatolievna
AU - Kurnikova, Marina Viktorovna
AU - Nedelka, Erzsébet
AU - Tóth, Balázs István
PY - 2022
DA - 2022/01/13
PB - MDPI
SP - 893
IS - 2
VL - 14
SN - 2071-1050
ER -
BibTex |
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BibTex (до 50 авторов) Скопировать
@article{2022_Khmeleva,
author = {Galina Anatolievna Khmeleva and Marina Viktorovna Kurnikova and Erzsébet Nedelka and Balázs István Tóth},
title = {Determinants of Sustainable Cross-Border Cooperation: A Structural Model for the Hungarian Context Using the PLS-SEM Methodology},
journal = {Sustainability},
year = {2022},
volume = {14},
publisher = {MDPI},
month = {jan},
url = {https://doi.org/10.3390/su14020893},
number = {2},
pages = {893},
doi = {10.3390/su14020893}
}
MLA
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Khmeleva, Galina Anatolievna, et al. “Determinants of Sustainable Cross-Border Cooperation: A Structural Model for the Hungarian Context Using the PLS-SEM Methodology.” Sustainability, vol. 14, no. 2, Jan. 2022, p. 893. https://doi.org/10.3390/su14020893.