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

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  • Galina Anatolievna Khmeleva

    (Department of World Economy, Samara State University of Economics, 443090 Samara, Russia)

  • Marina Viktorovna Kurnikova

    (Department of Regional Economy and Management, Samara State University of Economics, 443090 Samara, Russia)

  • Erzsébet Nedelka

    (Alexandre Lamfalussy Faculty of Economics, University of Sopron, HU-9400 Sopron, Hungary)

  • Balázs István Tóth

    (Alexandre Lamfalussy Faculty of Economics, University of Sopron, HU-9400 Sopron, Hungary)

Abstract

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.

Suggested Citation

  • Galina Anatolievna Khmeleva & Marina Viktorovna Kurnikova & Erzsébet Nedelka & Balázs István Tóth, 2022. "Determinants of Sustainable Cross-Border Cooperation: A Structural Model for the Hungarian Context Using the PLS-SEM Methodology," Sustainability, MDPI, vol. 14(2), pages 1-21, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:893-:d:724039
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    References listed on IDEAS

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    1. Andrea Noferini & Matteo Berzi & Francesco Camonita & Antoni Durà, 2020. "Cross-border cooperation in the EU: Euroregions amid multilevel governance and re-territorialization," European Planning Studies, Taylor & Francis Journals, vol. 28(1), pages 35-56, January.
    2. van Houtum, H.J., 1998. "The development of cross-border economic relations," Other publications TiSEM 9f9d10bf-9df7-43f8-a3e5-f, Tilburg University, School of Economics and Management.
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    2. Ewa Chomac – Pierzecka & Anna Sobczak & Dariusz Sobon & Jacek Stasiak, 2022. "Development of E-Commerce in Poland and the Baltic States," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 236-246.
    3. Yan Huang & Wei Lang & Tingting Chen & Jiemin Wu, 2023. "Regional Coordinated Development in the Megacity Regions: Spatial Pattern and Driving Forces of the Guangzhou-Foshan Cross-Border Area in China," Land, MDPI, vol. 12(4), pages 1-27, March.

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