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Ecosystem Services Evaluation Of The Danube Delta: An Analysis Using Hierarchical Multifactor Regression

Author

Listed:
  • Kamer-Ainur AIVAZ

    (Ovidius University of Constanta, Romania)

  • Maria ȘERBĂNESCU

    (Bucharest University of Economic Studies, Romania)

Abstract

The present study aims to assess the ecosystem services of the Danube Delta through a complex multi-factor hierarchical regression analysis. Using three different regression models, the research addresses multiple dimensions of human-nature interaction in this area of major ecological and cultural importance. First, the attractiveness of ecosystem services (VF1) was investigated, identifying a positive impact of improved infrastructure and tourism service provision on the local economy and visitor experience. It was also found that this attractiveness needs to be weighed with specific demographic and social needs. Secondly, the current perception and potential for conservation and tourism (VF2) was examined, revealing the link between effective resource management and the region's tourism value. Thus, positive perceptions of conservation practices were found to be determinant in establishing the value of the Delta as a tourist destination. Finally, the impact of obstacles to Delta development (VF3) was considered, highlighting the importance of an integrated approach to development planning in the region. The recognised obstacles involve environmental, economic and social factors, and indicate the need for balanced management of natural resources. The results of the study highlight the need for multidisciplinary collaboration for effective management of the Danube Delta, emphasising the need to protect this unique habitat while promoting sustainable and inclusive development for the benefit of current and future generations.

Suggested Citation

  • Kamer-Ainur AIVAZ & Maria ȘERBĂNESCU, 2024. "Ecosystem Services Evaluation Of The Danube Delta: An Analysis Using Hierarchical Multifactor Regression," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 19(1), pages 5-21, April.
  • Handle: RePEc:blg:journl:v:19:y:2024:i:1:p:5-21
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