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What Can Support Cross-Border Cooperation in the Blue Economy? Lessons from Blue Sector Performance Analysis in Estonia and Finland

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  • Maryna Tverdostup

    (Vienna Institute for International Economic Studies (wiiw), 1060 Vienna, Austria
    School of Economics and Business Administration, University of Tartu, 51009 Tartu, Estonia)

  • Tiiu Paas

    (School of Economics and Business Administration, University of Tartu, 51009 Tartu, Estonia)

  • Mariia Chebotareva

    (School of Economics and Business Administration, University of Tartu, 51009 Tartu, Estonia
    School of Natural Sciences and Health, Tallinn University, 10120 Tallinn, Estonia)

Abstract

Cross-border cooperation creates possibilities for improving the economic performance of the economies of different countries and allows for the efficient use of resources by considering sector-specific conditions for cooperation. The objective of this paper is to provide a methodological framework for analysing the economic performance of selected blue sectors, suggesting additional information for the development of cross-border cooperation in two neighbouring countries: Estonia and Finland. The analysis of the economic performance of the selected blue sectors relies on the Amadeus database for both countries, the implementation of Data Envelopment Analysis (DEA), and the calculation of partial productivity measures. The results of the study show that, on average, blue sectors report good performance indicators in coastal regions, but there are also some signs of imperfect efficiency. The common pattern of imperfectly efficient blue sectors in both countries is due to an excess of some fixed assets, which convey extra costs for business activities and, to some extent, generate excessive environmental pressures. The special nature of a shared blue economic area between Estonia and Finland stipulates close cross-border cooperation as an important tool to improve the performance of the imperfectly efficient sectors through shared “best practice” operations, technologies, and infrastructures. However, the lack of appropriate cross-border statistical data restricts analytical opportunities and the development of policy recommendations.

Suggested Citation

  • Maryna Tverdostup & Tiiu Paas & Mariia Chebotareva, 2022. "What Can Support Cross-Border Cooperation in the Blue Economy? Lessons from Blue Sector Performance Analysis in Estonia and Finland," Sustainability, MDPI, vol. 14(3), pages 1-17, February.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1817-:d:742616
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    1. Magdalena M. Stuss & Zbigniew J. Makieła & Izabela Stańczyk, 2020. "Role of Competences of Graduates in Building Innovations via Knowledge Transfer in the Part of Carpathian Euroregion," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    2. Stefan Mihai Petrea & Cristina Zamfir & Ira Adeline Simionov & Alina Mogodan & Florian Marcel Nuţă & Adrian Turek Rahoveanu & Dumitru Nancu & Dragos Sebastian Cristea & Florin Marian Buhociu, 2021. "A Forecasting and Prediction Methodology for Improving the Blue Economy Resilience to Climate Change in the Romanian Lower Danube Euroregion," Sustainability, MDPI, vol. 13(21), pages 1-36, October.
    3. Elena Kropinova, 2021. "Transnational and Cross-Border Cooperation for Sustainable Tourism Development in the Baltic Sea Region," Sustainability, MDPI, vol. 13(4), pages 1-11, February.
    4. Teresa González-Gómez & Estrella Gualda, 2020. "Disclosing the Relational Structure of Institutional Cross-border Cooperation in Two Cross-border Regions in Europe," Journal of Borderlands Studies, Taylor & Francis Journals, vol. 35(1), pages 113-129, January.
    5. Singh, Anoop & Jamasb, Tooraj & Nepal, Rabindra & Toman, Michael, 2018. "Electricity cooperation in South Asia: Barriers to cross-border trade," Energy Policy, Elsevier, vol. 120(C), pages 741-748.
    6. Roberta Capello & Andrea Caragliu & Ugo Fratesi, 2018. "Measuring border effects in European cross-border regions," Regional Studies, Taylor & Francis Journals, vol. 52(7), pages 986-996, July.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Stoffelen, Arie, 2018. "Tourism trails as tools for cross-border integration: A best practice case study of the Vennbahn cycling route," Annals of Tourism Research, Elsevier, vol. 73(C), pages 91-102.
    9. Banker, Rajiv D. & Cooper, William W. & Seiford, Lawrence M. & Thrall, Robert M. & Zhu, Joe, 2004. "Returns to scale in different DEA models," European Journal of Operational Research, Elsevier, vol. 154(2), pages 345-362, April.
    10. Silvers, Roger, 2020. "Cross-border cooperation between securities regulators," Journal of Accounting and Economics, Elsevier, vol. 69(2).
    11. Todd Hataley & Christian Leuprecht, 2018. "Determinants of Cross-Border Cooperation," Journal of Borderlands Studies, Taylor & Francis Journals, vol. 33(3), pages 317-328, July.
    12. Otto Karma & Kristi Leibur, 2004. "Estimating the Efficiency of Estonian Industrial Fishing by Data Envelopment Analysis," University of Tartu - Faculty of Economics and Business Administration, in: Modelling the Economies of the Baltic Sea Region, volume 17, chapter 8, pages 236-265, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    13. Teemu Makkonen & Adi Weidenfeld & Allan M. Williams, 2017. "Cross-Border Regional Innovation System Integration: An Analytical Framework," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 108(6), pages 805-820, December.
    14. Siiri Silm & Jussi S. Jauhiainen & Janika Raun & Margus Tiru, 2021. "Temporary population mobilities between Estonia and Finland based on mobile phone data and the emergence of a cross-border region," European Planning Studies, Taylor & Francis Journals, vol. 29(4), pages 699-719, April.
    15. Richard Saundry & Peter Turnbull, 1997. "Private profit, public loss: The financial and economic performance of U.K. ports," Maritime Policy & Management, Taylor & Francis Journals, vol. 24(4), pages 319-334, January.
    16. H. David Sherman & Joe Zhu, 2006. "Service Productivity Management," Springer Books, Springer, number 978-0-387-33231-4, March.
    17. Yan, Xiao & Yan, Liang & Yao, Xi-Long & Liao, Ming, 2015. "The marine industrial competitiveness of blue economic regions in China," Marine Policy, Elsevier, vol. 62(C), pages 153-160.
    18. Zaucha, Jacek, 2014. "Sea basin maritime spatial planning: A case study of the Baltic Sea region and Poland," Marine Policy, Elsevier, vol. 50(PA), pages 34-45.
    19. Jean Ryan & Anders Wretstrand, 2020. "Improving Coherence in a Cross-Border Public Transport System: Lessons from the Greater Copenhagen Region," Sustainability, MDPI, vol. 12(15), pages 1-18, August.
    20. Katharina Koch, 2018. "The spatiality of trust in EU external cross-border cooperation," European Planning Studies, Taylor & Francis Journals, vol. 26(3), pages 591-610, March.
    21. Joanna Kurowska-Pysz & Katarzyna Szczepańska-Woszczyna, 2017. "The Analysis of the Determinants of Sustainable Cross-Border Cooperation and Recommendations on Its Harmonization," Sustainability, MDPI, vol. 9(12), pages 1-24, December.
    22. Juan Martín & Concepción Román, 2006. "A Benchmarking Analysis of Spanish Commercial Airports. A Comparison Between SMOP and DEA Ranking Methods," Networks and Spatial Economics, Springer, vol. 6(2), pages 111-134, June.
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