IDEAS home Printed from https://ideas.repec.org/a/spr/futbus/v10y2024i1d10.1186_s43093-024-00388-4.html
   My bibliography  Save this article

The blue economy effects on EUROMED tourism: forecasting approach

Author

Listed:
  • Mai Mohamed Yasser

    (October University for Modern Sciences and Arts)

  • Yasser Tawfik Halim

    (October University for Modern Sciences and Arts)

  • Alaa A. Abd Elmegaly

    (Higher Institute of Advanced Administrative Science and Computers)

Abstract

This study examines the factors that influence the blue economy in EUROMED, aiming at promoting economic growth in line with the UN Sustainable Development Goals. EUROMED was chosen because all of its nations have fisheries and marine tourism, which are the two key indicators of the blue economy. Blue economy contributes to sustainable development in the fisheries and marine tourism sectors. A commitment to sustainability has sped up national and regional blue economy policy development. The study uses secondary qualitative data and literature review to analyse the synergies and conflicts between EUROMED blue economy strategies and the UN Sustainable Development Goals. The findings suggest that GDP growth, aqua production, open trade, CO2 emissions, and inflation rate influence the blue economy, and that ecotourism that considers education, society, and the environment may generate sustainable fisheries and marine tourism. Only 21 countries gave the ARDL test between 2000 and 2019. This study analyses synergies and conflicts between EUROMED blue economy strategies and UN Sustainable Development Goals. Location-based contextual development of blue economies that suit all players' requirements is essential to maintain sustainability objectives. Ensure resilience against future environmental and political shocks, preserve the ecological underpinning for vibrant blue economies, and create capacity at all levels to promote effective and fair governance. This study tries to make good use of ocean conservation and aquaculture within the context of the blue economy. This is the first EUROMED blue economy study and contributes to the theoretical and methodological development of blue economy research.

Suggested Citation

  • Mai Mohamed Yasser & Yasser Tawfik Halim & Alaa A. Abd Elmegaly, 2024. "The blue economy effects on EUROMED tourism: forecasting approach," Future Business Journal, Springer, vol. 10(1), pages 1-11, December.
  • Handle: RePEc:spr:futbus:v:10:y:2024:i:1:d:10.1186_s43093-024-00388-4
    DOI: 10.1186/s43093-024-00388-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s43093-024-00388-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1186/s43093-024-00388-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sahib Oad & Qu Jinliang & Syed Babar Hussain Shah & Shafique-ul-Rehman Memon, 2022. "Tourism: economic development without increasing CO2 emissions in Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 4000-4023, March.
    2. Nnamdi Chinwendu Nwaeze & Kingsley Ikechukwu Okere & Izuchukwu Ogbodo & Obumneke Bob Muoneke & Ifeoma Nwakaego Sandra Ngini & Samuel Uchezuike Ani, 2023. "Dynamic linkages between tourism, economic growth, trade, energy demand and carbon emission: evidence from EU," Future Business Journal, Springer, vol. 9(1), pages 1-12, December.
    3. Tugcu, Can Tansel, 2014. "Tourism and economic growth nexus revisited: A panel causality analysis for the case of the Mediterranean Region," Tourism Management, Elsevier, vol. 42(C), pages 207-212.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    5. Gianluca Iannucci & Federico Martellozzo & Filippo Randelli, 2022. "Sustainable development of rural areas: a dynamic model in between tourism exploitation and landscape decline," Journal of Evolutionary Economics, Springer, vol. 32(3), pages 991-1016, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ghassan Dibeh & Ali Fakih & Walid Marrouch, 2020. "Tourism–growth nexus under duress: Lebanon during the Syrian crisis," Tourism Economics, , vol. 26(3), pages 353-370, May.
    2. Gulsum Akarsu, 2023. "Interrelationships between Tourist Arrivals, Exchange Rate, Inflation, and Economic Growth: Empirical Evidence for Turkiye," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 9(1), pages 49-76, June.
    3. Amin Sokhanvar & Glenn P. Jenkins, 2021. "An Efficient Long-Run Economic Growth Strategy for Estonia," Development Discussion Papers 2020-23, JDI Executive Programs.
    4. Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," Working Papers halshs-00564897, HAL.
    5. Shahbaz, Muhammad & Hoang, Thi Hong Van & Mahalik, Mantu Kumar & Roubaud, David, 2017. "Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis," Energy Economics, Elsevier, vol. 63(C), pages 199-212.
    6. Growitsch Christian & Nepal Rabindra & Stronzik Marcus, 2015. "Price Convergence and Information Efficiency in German Natural Gas Markets," German Economic Review, De Gruyter, vol. 16(1), pages 87-103, February.
    7. Lee, Chi-Chuan & Lee, Chien-Chiang & Ning, Shao-Lin, 2017. "Dynamic relationship of oil price shocks and country risks," Energy Economics, Elsevier, vol. 66(C), pages 571-581.
    8. Nautz, Dieter & Strohsal, Till & Netšunajev, Aleksei, 2019. "The Anchoring Of Inflation Expectations In The Short And In The Long Run," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1959-1977, July.
    9. Antonia López Villavicencio & Josep Lluís Raymond Bara, 2006. "The short and long-run determinants of the real exchange rate in Mexico," Working Papers wpdea0606, Department of Applied Economics at Universitat Autonoma of Barcelona.
    10. Raphaël Chiappini & Dominique Torre & Elise Tosi, 2019. "Romania's Unsustainable Stabilization: 1929-1933," GREDEG Working Papers 2019-43, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    11. Guili Liao & Qimeng Liu & Rongmao Zhang & Shifang Zhang, 2022. "Rank test of unit‐root hypothesis with AR‐GARCH errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(5), pages 695-719, September.
    12. Saaed, A.A.J., 2007. "Inflation and Economic Growth in Kuwait: 1985-2005. Evidence from Co-Integration and Error Correction Model," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 7(1).
    13. Garrod Brian & Almeida António & Machado Luiz, 2023. "Modelling of nonlinear asymmetric effects of changes in tourism on economic growth in an autonomous small-island economy," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 13(2), pages 154-172, December.
    14. Demiralay, Sercan & Ulusoy, Veysel, 2014. "Value-at-risk Predictions of Precious Metals with Long Memory Volatility Models," MPRA Paper 53229, University Library of Munich, Germany.
    15. Zanin, Luca & Marra, Giampiero, 2012. "Assessing the functional relationship between CO2 emissions and economic development using an additive mixed model approach," Economic Modelling, Elsevier, vol. 29(4), pages 1328-1337.
    16. John Barkoulas & Christopher Baum & Mustafa Caglayan, 1999. "Fractional monetary dynamics," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1393-1400.
    17. Huang, Shupei & An, Haizhong & Gao, Xiangyun & Sun, Xiaoqi, 2017. "Do oil price asymmetric effects on the stock market persist in multiple time horizons?," Applied Energy, Elsevier, vol. 185(P2), pages 1799-1808.
    18. Bahmani-Oskooee, Mohsen & Bohl, Martin T., 2000. "German monetary unification and the stability of the German M3 money demand function," Economics Letters, Elsevier, vol. 66(2), pages 203-208, February.
    19. Xiaojie Xu, 2017. "The rolling causal structure between the Chinese stock index and futures," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(4), pages 491-509, November.
    20. Kevin S. Nell & Maria M. De Mello, 2019. "The interdependence between the saving rate and technology across regimes: evidence from South Africa," Empirical Economics, Springer, vol. 56(1), pages 269-300, January.

    More about this item

    Keywords

    Blue economy; EUROMED; SDGs; Economic growth; Fisheries; Marine tourism; Ecotourism;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:futbus:v:10:y:2024:i:1:d:10.1186_s43093-024-00388-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.