Effective Factors on Tourism Demand of Aras Free Zone: Using Structural Equation Modeling (SEM) Approach

Document Type : Research Paper

Authors

Assistant Professor, Department of Rural Extension and Education, University of Tabriz

Abstract

This study was performed to investigate the factors affecting tourism demand in Aras free Zone. The data were collected based on random sampling, and was analyzed using structural equation modeling approach. Validity of instrument was confirmed by professors and in order to determine the reliability of the various sections of the questionnaire, Cronbach's alpha coefficient was used (0.81 and 0.87). The results indicated that the demand for tourism was affected from the satisfaction of business, religious, historical, and natural tourism and the facilities available. In other words, for increasing tourism demand, it should increase the quality and quantity of the facilities of Aras free Zone, such as restaurants, tour services, health care, housing, parking and tourist guide. Also, it should try to reduce cost by reducing transaction costs (Transit, insurance and other costs of clearance) and by increasing the variety of imported goods to increased satisfaction with the business tourism. Also, by increasing the number of artificial attractions, protection of natural attractions, providing the framework for the use of ecotourism, and restoration of historical monuments (churches Chopan, Caravanserai of KhwajaNazar ...), and religious places (Holy Shrine of Shoaib and Mohammad Agha), the satisfaction of ecotourism, historical religious tourist can be reached.

Keywords

References

  1. Aras Free Zone (2014), Retrieved from: http://www.arasfz.ir (In Farsi)
  2. Chaitip, P. Chaiboonsri, Ch. Kovács, S. & Balogh, P. (2008). A structural equation model: greeces tourism demand for tourist destination. Applied Studies in Agribusiness and Commerce. Agroinform Publishing House, Budapest.
  3. Ghasemi, M. (2011). Tourism as a system: Mashhad schema. Journal of Geography and Regional Development, 17, 4. (In Farsi)
  4. Ghasemi, V. (2009). Introduction to structural equation modeling. (Written Shmakhr and Lvmks). Tehran: the sociologists printing. (In Farsi)
  5. Hooman, H. (2011). Structural equation modeling with LISREL software application. The study and edited books Humanities University (left), Fourth Edition.
  6. Jeroen, B. & Bart, N. (2002). Crowding and the tourist experience in an urban environment: a structural equation modeling approach.
  7. Miller, K. (2008). Evaluating the design and management of community based ecotourism projects in Cuatemala, The University of Montana Missoula, MT, USA.
  8. Nohagar, A, Hossein Zadeh, M & Perastah, a. (2009). Assess the nature island features by using strategy management model SWOT. Journal of Geography and Development, 15.
  9. Office of Infrastructure Studies. (2010). Evaluation of Ecotourism in Iran, pages 4 and 10. (In Farsi)

10. Oladi Qadyklayy, J. (2005). Introduction to Nature. (First Ed.). Sari, Mazandaran University Press (In Farsi)

11. The Islamic Republic of Iran Customs Administration. (2011). Inbound and outbound traffic statistics report.

12. UNWTO, (2015). United Nations World Tourism Organization. Retrieved from: http://www2.unwto.org

13. Vossoughi, L, Khani, F., Moteae Langeroudi, H. & Rahnamae, M. (2011). Assess the attitudes of rural community tourism, based on structural equation modeling (case study: roudbar Qasran mountainous region, city Shamiran). Rural Studies, 2(4), . (In Farsi)

14. Witt, S. & Martin, C. (1987). Econometric Model for Forecasting International Tourism Demand. Journal of Travel Research, winter, 23-30.

Zarabi, A., Mohammadi, J & Babakhanzadh, A. (2011). Analysis of tourism attractions and facilities Avramanat. Journal of Geography and Environmental Planning, 22(3), 35-52.

Iranian Journal of Agricultural Economics and Development Research
Volume 48, Issue 4
March 2018
Pages 557-572

Files

Share

How to cite

Statistics