الگوی گردشگری ساحلی دریای مازندران مبتنی بر پرداخت برای خدمات اکوسیستم

محورهای موضوعی : فصلنامه علمی -پژوهشی تحقیقات اقتصاد کشاورزی

احمدرضا شاهپوری ¹ (دکتری اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری.)
حمید امیرنژاد ² (دانشیار گروه اقتصاد کشاورزی، دانشگاه کشاورزی و منابع طبیعی ساری.)
محمد قربانی ³ (استاد گروه اقتصاد کشاورزی دانشگاه فردوسی مشهد.)

تاریخ دریافت : 1397/10/10 تاریخ پذیرش : 1399/07/28 تاریخ انتشار : 1400/02/01

کلید واژه: لاجیت شرطی, اشتغالزایی, آزمون هاسمن, ویژگیهای گردشگری, دریای مازندران,

چکیده مقاله :

با توجه به پتانسیل سواحل جنوبی دریای مازندران، هدف مطالعه حاضر ارائه الگوی درآمدزای گردشگری ساحلی و دریایی به صورت موردی در شهر نوشهر به کمک مدلسازی انتخاب گردشگران و الگوهای رگرسیونی گسسته اقتصادسنجی است. به همین سبب با 161 گردشگر در ساحل سیترای نوشهر در بهار و تابستان 1397 مصاحبه میدانی انجام شد و رگرسیون لاجیت شرطی برآورد گردید. نتایج نشان داد مجموع تمایل به پرداخت نهایی هر گردشگر برای تفریح روزانه ساحلی و دریایی در ساحل سیترای نوشهر، 293.184 ریال بدست آمد که نزدیک به 30.000 ریال بیشتر از سطح هزینه فعلی گردشگری در ساحل سیترا به ازای هر نفر است. این تفاوت قیمت را می‌توان با سرمایه‌گذاری اصولی در جهت بهبود امکانات گردشگری برای ایجاد درآمد از طریق جلب بیشتر گردشگر بکار گرفت. همچنین الگوی 50 درصد بهبود ویژگی‌های چشم انداز ساحل، ایمنی و امنیت ساحل و دریا و امکانات بهداشتی-رفاهی و البته افزایش 40 درصدی هزینه‌ها نسبت به وضعیت فعلی، به عنوان الگویی قابل دسترس برای سرمایه‌گذاران جهت ایجاد درآمد و مطلوب برای گردشگران پیشنهاد شد.

چکیده انگلیسی:

Considering the potential of the South Coast of the Caspian Sea, the aim of this study is to measure the interest of tourists in improving the attributes of this industry in Nowshahr with the choice experiment model and conditional logit regression. For this reason, field interviews were conducted with 161 tourists on Nowshahr beaches in the spring and summer of 1397 and the models considered were estimated. In aim scenario, beach and sea landscape, health and wellness facilities with 50% and safety and security are also proposed with 50% improvement compared to the current situation. In this scenario, daily tourist expenses will increase by 40% compared to the current state average, that is, to 378,500 Rials per day per person. This difference in price can be made by investing and planning in order to improve the characteristics and facilities of tourism and the direct and indirect use of the new and specialist labor force for job and income generation.

منابع و مأخذ:

Ahmadpour, A. Ferdowsi, S. & Shahmohammadi, H. (2016). Investigating of maritime tourism indicators in coastal provinces of Iran. Marine Sciences and Technology, 20(78): 55-64. (In Persian)

- Bennett, J. & Adamowicz, V. (2001). Some Fundamentals of Environmental Choice Modelling, J. Bennett and R. Blamey (ed.), Edward Elgar, United States.

- Birdir, S. Ünal, Ö. Birdir Kemal. T. & Williams, D. A. (2013). Willingness to pay as an economic instrument for coastal tourism management: Cases from Mersin, Turkey. Tourism Management, 36: 279-283.

- Brau, R. (2008). Demand-driven sustainable tourism? A choice modelling analysis. Tourism Economics, 14 (4): 691-708.

- Cultural Heritage and Tourism Administration. (2018). (In Persian)

- Christie, M. Remoundou, R. Siwicka, E., and Wainwright, W. (2015). Valuing marine and coastal ecosystem service benefits: Case study of St Vincent and the Grenadines’ proposed marine protected areas. Ecosystem Services, 11: 115–127.

- Daniel, Z. Allan, W. & Alice, N. (2011). Recreation carrying capacity estimation to support beach management at Praia de Faro Portugal. Applied Geography, 31: 1075-1081.

- Gholami, S. Motvalli, S. Nazarifard, M. & Nabi, A. (2011). Providing an optimal model in the tourism industry in the coastal cities of Mazandaran (Case study: Chalous city) based on the SWOT model, the first national conference of the utopia of Iran, Noor, Islamic Azad University, Noor Branch. (In Persian)

- Giorgio, A. Jose, B. Hernando, S.M. Andres, V. & Lucia, L. (2018). Coastal tourism importance and beach users’ preferences: The “Big Fives” criterions and related management aspects. Journal of Tourism Hospital, 7: 347.

- Hanley, N. Wiktor, A. & Wright, R. E. (2005). Price vector effects in choice experiments: an empirical test. Resour. Resource and Energy Economics, 27(3), 227–234.

- Hensher, D.A. Rose, J.M. & Greene, W.H. (2005). Applied choice analysis: A primer. Cambridge University Press, Cambridge.

- Iran Statistics Center, National Tourism Statistics Project. (2017). (In Persian)

- Kamalizadeh, Y. & Rezaei, M. (2015). Determining the optimal strategy for the development of maritime tourism using the integrated SWOT-ANP approach (Case study: Kish Island). Geographical space, 15(51): 19-43. (In Persian)

- Kaman, M. & Stagol, Z. (2005). An introduction to ecological economics, translated by Salehi, E., Habibi, A., and Farzampour, A. Sangachin, University of Tehran. (In Persian)

- Luisetti, T. Turner, R. Kerry. J. Bateman, I. Morse-Jones, S. Adams, C. & Fonseca, L. (2011). Coastal and marine ecosystem services valuation for policy and management: Managed realignment case studies in England. Ocean & Coastal Management, 54: 212-224.

- McFadden, D. (1973). Conditional logit analysis of qualitative choice behavior.

- Momeni, K. & Davde, D. (2013). Providing a model for the impact of tourist perception on the development of tourism in the coastal areas of the Karun River. First National Conference on Geography, Urban Development and Sustainable Development, Tehran, Komash Environmental Association, University of Aviation Industry. (In Persian)

- Penn, J M. (2013). Valuation of recreational beach quality and water quality management strategies in oahu. Theses and Dissertations-Agricultural Economics. Paper 19. http://uknowledge.uky.edu/agecon_etds/19.

- Prayaga, P. (2016). Estimating the value of beach recreation for locals in the Great Barrier Reef Marine Park, Australia. Economic Analysis and Policy, In Press, Accepted Manuscript.

- Ramdas, M. & Mohamed, M. (2014). Impacts of tourism on environmental attributes, environmental literacy and willingness to pay: A conceptual and theoretical review. 5th Asia Euro Conference 2014. Procedia - Social and Behavioral Sciences, 144. 378 – 391.

- Rasekhi, S., Karimi, S., and Hamedi, M. (2012). Measurements and factors influencing the willingness of beach tourists to pay using conditional valuation: A case study for the shores of the Caspian Sea. Journal of Tourism Planning and Development, 1(2): 13-32. (In Persian)

- Tourism statistics in Statistical Center of Iran. (2017). (In Persian)

- World Travel & Tourism Council. (2017).

- WTTC. (2018) Travel and Tourism Economic Impact 2015: World. World Travel and Tourism Council, London, UK.

- Zhang, W. & Sohngen, B. (2017). Heterogeneous preferences for water quality attributes: A discrete choice experiment of Lake Erie recreational anglers. CARD Working Papers. 590. https://lib.dr.iastate.edu/card_workingpapers/590.