IDEAS home Printed from https://ideas.repec.org/a/vrs/ejothr/v10y2020i2p146-153n4.html
   My bibliography  Save this article

Examining and Forecasting Tourist Arrivals and Speleotourism Development in Resava Cave (Eastern Serbia)

Author

Listed:
  • Antić Aleksandar

    (Faculty of Sciences, Department of Geography, Tourism and Hotel Management, University of Novi Sad, Novi Sad21000, Serbia)

  • Vujko Aleksandra

    (University of Business Studies, Faculty of Tourism and Hotel Management, Jovana Duĉića 23a, Banja Luka78000, Republic of Srpska; European University, Faculty of European Business and Marketing, Vojvode Dobrnjca 15, Belgrade11000, Serbia)

  • Tomić Nemanja

    (Faculty of Sciences, Department of Geography, Tourism and Hotel Management, University of Novi Sad, Novi Sad21000, Serbia)

Abstract

Caves, gorges, canyons, waterfalls and other karst geoheritage sites have been the focus of many tourists who visit Serbia. Caves have been visited and explored by numerous school excursions and scientific expeditions. Thus speleotourism in Serbia possesses great potential for local and regional economic empowerment. Moreover, analyzing the influence of complementary tourist activities for speleotourism can generate more knowledge for future development strategies. This paper aims to forecast tourist arrivals in Resava Cave and thus determine the current and future conditions of speleotourism development. According to the current speleotourist traffic, Resava Cave is the most developed speleotourism destination in Serbia. Therefore, estimating the growth of tourist traffic is crucial for understanding its true potential.

Suggested Citation

  • Antić Aleksandar & Vujko Aleksandra & Tomić Nemanja, 2020. "Examining and Forecasting Tourist Arrivals and Speleotourism Development in Resava Cave (Eastern Serbia)," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 10(2), pages 146-153, December.
    • Handle: RePEc:vrs:ejothr:v:10:y:2020:i:2:p:146-153:n:4
    DOI: 10.2478/ejthr-2020-0012
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/ejthr-2020-0012
    Download Restriction: no
    File URL: https://libkey.io/10.2478/ejthr-2020-0012?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
    ---><---

    References listed on IDEAS

    as
    1. David W. Marcouiller & Knut Ingar Westeren, 2019. "Cultural tourism and rural entrepreneurship: A case study of a Scandinavian literary festival," Regional Science Policy & Practice, Wiley Blackwell, vol. 11(3), pages 509-524, August.
    2. Hassani, Hossein & Silva, Emmanuel Sirimal & Antonakakis, Nikolaos & Filis, George & Gupta, Rangan, 2017. "Forecasting accuracy evaluation of tourist arrivals," Annals of Tourism Research, Elsevier, vol. 63(C), pages 112-127.
    3. Pavluković, Vanja & Armenski, Tanja & Alcántara-Pilar, Juan Miguel, 2017. "Social impacts of music festivals: Does culture impact locals' attitude toward events in Serbia and Hungary?," Tourism Management, Elsevier, vol. 63(C), pages 42-53.
    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. Eden Xiaoying Jiao & Jason Li Chen, 2019. "Tourism forecasting: A review of methodological developments over the last decade," Tourism Economics, , vol. 25(3), pages 469-492, May.
    2. Anastasiou, Dimitris & Drakos, Konstantinos & Kapopoulos, Panayotis, 2022. "Predicting international tourist arrivals in Greece with a novel sector-specific business leading indicator," MPRA Paper 113860, University Library of Munich, Germany.
    3. Zhang, Yishuo & Li, Gang & Muskat, Birgit & Law, Rob & Yang, Yating, 2020. "Group pooling for deep tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 82(C).
    4. Xi Wu & Adam Blake, 2023. "The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China," SAGE Open, , vol. 13(1), pages 21582440231, January.
    5. A Fronzetti Colladon & B Guardabascio & R Innarella, 2021. "Using social network and semantic analysis to analyze online travel forums and forecast tourism demand," Papers 2105.07727, arXiv.org.
    6. Degiannakis, Stavros & Filis, George & Hassani, Hossein, 2018. "Forecasting global stock market implied volatility indices," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 111-129.
    7. Gege Zhang & Xiaoyuan Chen & Rob Law & Mu Zhang, 2020. "Sustainability of Heritage Tourism: A Structural Perspective from Cultural Identity and Consumption Intention," Sustainability, MDPI, vol. 12(21), pages 1-17, November.
    8. Martin Enilov & Yuan Wang, 2022. "Tourism and economic growth: Multi-country evidence from mixed-frequency Granger causality tests," Tourism Economics, , vol. 28(5), pages 1216-1239, August.
    9. Stathis Polyzos & Anestis Fotiadis & Aristeidis Samitas, 2021. "COVID-19 Tourism Recovery in the ASEAN and East Asia Region: Asymmetric Patterns and Implications," Working Papers DP-2021-12, Economic Research Institute for ASEAN and East Asia (ERIA).
    10. Edmond H. C. Wu & Jihao Hu & Rui Chen, 2022. "Monitoring and forecasting COVID-19 impacts on hotel occupancy rates with daily visitor arrivals and search queries," Current Issues in Tourism, Taylor & Francis Journals, vol. 25(3), pages 490-507, February.
    11. Diana A. Londoño-Pulgarín & Francisco Muñoz-Leiva & Esmeralda Crespo-Almendros, 2020. "Conversion of Residential Heating Systems from Fossil Fuels to Biofuels: A Cross-Cultural Analysis," Energies, MDPI, vol. 13(19), pages 1-24, September.
    12. Ji Wu & Xian Cheng & Stephen Shaoyi Liao, 2020. "Tourism forecast combination using the stochastic frontier analysis technique," Tourism Economics, , vol. 26(7), pages 1086-1107, November.
    13. Rice, William L. & Park, So Young & Pan, Bing & Newman, Peter, 2019. "Forecasting campground demand in US national parks," Annals of Tourism Research, Elsevier, vol. 75(C), pages 424-438.
    14. Jungho Suh & Cevat Tosun & Thomas Eck & Soyoung An, 2022. "A Cross-Cultural Study of Value Priorities between U.S. and Chinese Airbnb Guests: An Analysis of Social and Economic Benefits," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    15. Cheng-Hong Yang & Jen-Chung Shao & Yen-Hsien Liu & Pey-Huah Jou & Yu-Da Lin, 2022. "Application of Fuzzy-Based Support Vector Regression to Forecast of International Airport Freight Volumes," Mathematics, MDPI, vol. 10(14), pages 1-18, July.
    16. Xi Wu & Adam Blake, 2023. "Does the combination of models with different explanatory variables improve tourism demand forecasting performance?," Tourism Economics, , vol. 29(8), pages 2032-2056, December.
    17. Hossein Hassani & Mohammad Reza Yeganegi & Emmanuel Sirimal Silva, 2018. "A New Signal Processing Approach for Discrimination of EEG Recordings," Stats, MDPI, vol. 1(1), pages 1-14, November.
    18. Kai-Chih Chang & Tsuifang Hsieh, 2017. "From Having Fun to Applause: The Study of Relationships among Festival Benefits, Festival Identity and Festival Support by Viewpoints of the Hosts and Guests," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    19. Silva, Emmanuel Sirimal & Hassani, Hossein, 2022. "‘Modelling’ UK tourism demand using fashion retail sales," Annals of Tourism Research, Elsevier, vol. 95(C).
    20. Silva, Emmanuel Sirimal & Hassani, Hossein & Heravi, Saeed & Huang, Xu, 2019. "Forecasting tourism demand with denoised neural networks," Annals of Tourism Research, Elsevier, vol. 74(C), pages 134-154.

    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:vrs:ejothr:v:10:y:2020:i:2:p:146-153:n: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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.