Analyzing the Effective Factors on the Number of National Tourists and Tourists’ Length of Stay: A Province-wide Study

Document Type : Research Paper

Authors

1 Assistant Professor in Economics, Payame Noor University, Iran

2 Master of Art, Islamic Azad University

Abstract

Extended Abstract
In these study effective factors on attracting tourist and the length of the time the tourist accommodates is analyzed. To do so panel data with the information of 31 provinces during (2011-2014) is used. The results show that both supply side factors (number of accommodation, number of beds of medical centers, government's credit, province’s freeways), and some of the province's tourism attractions (natural and cultural attractions) has significant effect in tourist decision to travel and the number of the tourists. Also tourists’ length of stay and the geographical distance has a negative impact on the number of tourists.While supply side factors’ effect on the length of tourist accommodation is not significant but personal features like tourist income and some of the region's feature like population, number of specialists, number of university students and also natural attractions in tourist destination are effective on tourists ‘length of stay.
 
Introduction
Tourism industry development has lots of benefits, like job creation, economic growth and income distribution improvement in the region meanwhile, many researchers believe that the positive effects of tourism on communities depends on the time length the tourists stay.
But most of the studies, without paying attention to the time length of stay, has considered the number of the tourists especially the foreign tourist while due to Michel Porter’s theory (1990), competitive advantage, to develop tourism industry first domestic tourism should be in consider. Porter believes the industries could succeed the global competition that, the firms of the industry promote their performance and ability by creating competition within the country. So, different region’s competition within the country is important in tourism industry development. So in this study Effective Factors on the Number of National Tourists and the length of Stay in among provinces of Iran is analyzed.
 
Materials and Methods
Based on the literature and previous studies the effective factors on the number of the tourists and the length of stay divides in to three groups, the first group is related to the supply side factors including infrastructures like nation’s accommodation, transportation infrastructure, and health level and government credits. The second group includes tourism region features like population, the number of cultural centers and natural attractions. And the third group is related to the tourist’s individual characteristics like income. So the analyzing model is presented below.
 
 
 
 
 
In which t shows the time and i is the province and also NTU, LTU, HO, TWA, BE, HS, CR, NCU, EDU,DS, GDPN, PU ,DI and X are respectively number of the tourists, tourist dwelling length in terms of day, The total number of nation’s accommodation ,main roads length including highways and freeways in terms of Kilometer, health index in terms of the number of beds of province’s medical centers, health index in terms of specialist, government’s province’s development credits in terms of billion riyals, the number of cultural centers , the number of university students, Dummy variable for the northern provinces and Tehran, province’s per capita income (except destination province) , population , Geographical distance and controlling factors. To evaluate the above models panel data approach with the information of 31 provinces of Iran during (2011-2014) is used.
 
Discussion and Results
The results show that both supply side factors (number of accommodation, number of beds of medical centers, government's credit, provinces’ freeways,) and some of the provinces’ tourism attractions (natural and cultural attractions) has positive and significant effect on the number of the tourists. While the results show that supply side factors’ effect on the length of tourist stay is not significant but personal features like tourist income and some of the region's feature like population, number of specialists, number of university students and also natural attractions in tourist destination has significant effect on tourist accommodation length.
 
Conclusion
According to the results above, tourism development needs to consider both dimensions: public infrastructures and facilities beside creating and introducing tourist attractions. Of course the importance of each dimension depends on the province‘s condition in terms of the number of the tourists and length of stay and to develop national tourism industry each province’s performance should be considered according to two variables number of the tourists and length of stay. And it is significant to know that, facility creating has an important role in attracting tourists but for increasing the length of stay each province’s abilities and attractions in different aspects should promote.
 
Keywords: National Tourism, Tourists’ Length of Stay, Supply Side Factors, Tourism Attractions, Cultural Factor.
 
References

Barros, C.P., Butler, R. and Correia, A. (2010). The length of stay of golf tourism: A survival analysis, Tourism Management, Vol. 31, Issue 1: 13-21.
Griglon, A.B., Borgers, A.W.J., Kemprrman, A.D.A.M. and Timeermans, H.J.P. (2014). Vacation length choice: a dynamic mixed multinomial logit model, Tourism Management, Vol.41: 158-167.
-Kazuzuru, B. (2014). Determinants of tourist length of stay in Tanzania, International Journal of Business and Social Science, 5(9): 204-214.
Thrane, C. (2012). Tourists’ length of stay: the case of international summer visitors to Norway, Tourism Economics, 18(5):1069–1082.
Salmasi, L., Celidoni, M. and Procidano, I. (2012). Length of stay: Price and income semi elasticities at different destinations in Italy, International Journal of Tourism Research, Vol.14, Issue 6:515-530.
Yusup, M.F., Kanyan, A., Kasuma, J., Kamaruddin, H. and Adlin, J. (2016). Determinants of factors and the growth of tourism industry in Langkawi Island, Journal of Scientific Research and Development, 3(2): 13-20

Keywords

References

  1. احد نژاد روشتی، محسن و صالحی میشانی، حیدر (1391). ارزیابی توزیع فضایی زیرساختهای گردشگری و تعیین نقش فرایندهای اقتصادی-سیاسی و رشد فیزیکی شهرها در شکل گیری آن (مطالعه موردی شهر زنجان)، دو فصلنامه مطالعات گردشگری، دوره 1، شماره 1: 105-91.

2.اسلاملوئیان، کریم و ذاکری، مریم (1388). بررسی تاثیر قانون بانکداری بدون ربا بر تابع تقاضای پول، فصلنامه علمی- پژوهشی اقتصاد اسلامی، دوره 9، شماره 35: 160-129.

3.خوش اخلاق، رحمان، نیافرد، فاطمه و دلالی اصفهانی، رحیم (1390). تخمین تابع تقاضای اکوتوریسم (مطالعه موردی شهراصفهان)، فصلنامه علوم اقتصادی، دوره 5، شماره 15: 43-31.

4.رفیعی، هادی، پارساپور، سارا و رهنما، علی (1395). عوامل اقتصادی اجتماعی مؤثر بر ماندگاری گردشگران داخلی (مورد مطالعه شهر مشهد)، دوفصلنامه مطالعات اجتماعی گردشگری، دوره 4، شمارۀ 7: 35-8.

5.رمضانی، بهمن و نیکدل، نسرین (1389). شناخت عوامل مؤثر بر افزایش مدت ماندگاری گردشگران در شهرستان صومعه سرا، چشم انداز جغرافیایی، دوره 5 ، شماره 13: 59-48.

6.زرآبادی، سعیده و عبدالله، بهار (1392). ارزیابی عوامل موثر در توسعه صنعت گردشگری منطقه آزاد چابهار با بهره گیری از روش فرایند تحلیل شبکه­ای، نشریه علمی-پژوهشی انجمن علمی معماری و شهرسازی ایران، شماره 6: 48-37.

7.سلیمانی مقدم، محمد و اسلامی، قاسم (1390). نقش زیر ساخت­های اقامتی در فعالیت­های گردشگری شهر رشت،چشم انداز جغرافیایی (مطالعات انسانی)، دوره6، شماره 17: 115-105.

8.سقایی، مهدی؛ خواجوی، محمد و اسلامی، علیرضا (1393). واکاوی ضریب ماندگاری پایین گردشگران در استان گلستان با تأکید بر گردشگران عبوری، اولین همایش بین المللی علمی راهبردی توسعه گردشگری جمهوری اسلامی ایران، چالشها و چشم اندازها، استان خراسان رضوی، مشهد.

9.شاه آبادی، ابوالفضل و سیاح، علی(1392). تاثیر زیر ساخت­های اقتصادی بر گردشگری، رویکرد پنل دیتا، مقایسه­ی تطبیقی کشورهای درحال توسعه و توسعه یافته، مجله برنامه ریزی و توسعه،گردشگری، دوره 2، شماره 7: 43-25.

10.شماعی، علی و موسی وند، جعفر (1390). سطح بندی شهرستان­های استان اصفهان از لحاظ زیرساخت­های گردشگری با استفاده از مدل Topsis و AHP ، فصلنامه مطالعات و پژوهش­های شهری و منطقه­ای، دوره 3، شماره 10: 40-23.

  1. فروغ­زاده، سیمین؛ شریعتی مزینانی، سعید؛ دانایی سیج، مجید (1391). تحلیل جامعه شناختی مدت اقامت زائران ایرانی در شهر مشهد، مطالعات اجتماعی ایران، دوره 6، شماره 3 و 4: 179-157.
  2. قاسمی، فروغ، زیاری، کرامت ا... و صادقی، محمد (1393). تحلیل کیفی و مکانی مراکز اقامتی شهر شیراز جهت توسعه گردشگری (با تاکید بر هتل­ها)، جغرافیا و آمایش شهری- منطقه­ای، شماره 11 :13-1.
  3. للحج، رفیعه و ستاری، حسن (1393). بررسی نقش فضاهای عمومی شهر در ماندگاری توریسم و بهبود گردشگری، اولین همایش ملی توریسم و گردشگری سبز.
  4. نصرالهی،خدیجه، جهانبازی، ندا و ناصری، طاهره (1391). رده بندی استان­های کشور برحسب جاذبه­های گردشگری، فصلنامه علمی پژوهشی مطالعات مدیریت گردشگری ، دوره 9، شماره 28: 37-17.
  5. نظری، محسن، اسفیدانی، محمد رحیم و طباطبائی، سید مهدی (1396). ارزیابی عوامل مؤثر بر جذب گردشگران بین المللی به ایران با استفاده از مدل جاذبه، تحقیقات اقتصادی، دوره 52، شماره 1: 243- 215.
  6. وارثی، حمیدرضا، تقوایی، مسعود و شاهیوند، احمد (1390). تحلیلی بر وضعیت زیرساختهای گردشگری در شهر اصفهان، مجله جغرافیا و برنامه­ریزی محیطی، دوره 32، شماره 44: 91-112.
  7. Aslan, A., Kula, F. and Kaplan, M. (2009). International tourism demand for Turkey: A dynamic panel data approach, A Research Journal of International Studies, Vol.9, Issue 6: 64-75.
  8. Alegre, J. and Pou, L. (2006). The length of stay in the demand for tourism, TourismManagement, 27(6): 1343-1355.
  9. Barros, C.P., Butler, R. and Correia, A. (2010). The length of stay of golf tourism: A survival analysis, Tourism Management, Vol. 31, Issue. 1, PP: 13-21.
  10. Barros, C.P. and Machado, L.P. (2010). The length of stay in tourist, Annals of Tourism Research, 37(3): 692-706.
  11. Barros C.P. and Correia A. (2008). Survival analysis in tourism demand: the length of stay in Latin American destinations, Tourism Analysis, 13(4): 329-340.
  12. Baltagi, B.H. (2005). Econometric Analysis of Panel Data, New York, John Wiley.
  13. Griglon, A.B., Borgers, A.W.J., Kemprrman, A.D.A.M. and Timeermans, H.J.P. (2014). Vacation length choice: a dinamic mixed multinomial logit model, Tourism Management, Vol. 41: 158-167.
  14. Garcia, E., and Raya, J. (2008). Length of stay for low-cost tourism, Tourism Management, 29(6): 1064 – 1075.
  15. Gearing, C. (1974). Abolishing a measure of touristic attractiveness, Journal of Travel Research, 12(4): 1–8.
  16. Hu, Y. and Ritchie, J.R. (1993). Measuring destination attractiveness: A contextual approach, Journal of Travel Research, 32)2:( 25-34.
  17. Hurn, A. S. and. Muscatelli, V.A. (1992). Testing Superexogeneity: The Demand for Broad Money in the UK, Oxford Bulletin of Economics and Statistics, 54(4): 543–556.
  18. Ipatov, V. (2012). Factors affecting the development of the tourism industry, http://world-tourak.blogspot.my/2012/10/factors-affectingdevelopment of.html.
  19. Jaafar, M. and Khoshkam, M.(2014).Length of Stay and Tourism Facility Assessment: The Viewpoint of Malaysian Tourists at Langkawi , Article available at http://www.shs-conferences.org.
  20. Kazuzuru, B. (2014). Determinants of Tourist Length of Stay in Tanzania, International Journal of Business and Social Science, 5(9): 204-214.
  21. Kercher, B. and Lau, G. (2008).Movement patterns of tourists within a destination, Tourism Geographies, 10(3): 355–374.
  22. Khadaroo, J. and Seetanah, B. (2008). The role of transport infrastructure in international tourism development, Tourism Management, 29(5): 831–840.
  23. Lim, C. (1997). An Econometric classification and review of international tourism demand models, Tourism Economics, 3(1): 69-81.
  24. Law C.M. )1996).Urban tourism attraction visitors to large cities, Man sell. Publishing Limited, London.
  25. Mill, R.C. and Morrison, A.M. (1992). The Tourism System: An Introductory Text, 2nd ed, Prentice Hall, New Jersey.
  26. Salmasi, L., Celidoni, M. and Procidano, I. (2012). Length of stay: Price and income semielasticities at different destinations in Italy, International Journal of Tourism Research, Vol.14, Issue. 6: 515-530.
  27. Thrane, C. (2012). Tourists’ length of stay: the case of international summer visitors to Norway, Tourism Economics, 18(5): 1069–1082.
  28. Vanhove, N. (2005). The Economics of Tourism Destinations, U.K. Elsevier Publishing.
  29. Witt, S.F. and Witt, C.A. (1995). Forecasting tourism demand: A review of empirical research, International Journal of Forecasting, 11(3): 447- 475.
  30. Wang, Y., Zhang, Y., Xia, J. and Wang, Z. (2008). Segmenting the mature travel market by motivation, International Journal of Data Analysis Techniques and Strategies, 1(2): 193-209.
  31. Wu, C.L. and Carson, D. (2008). Spatial and temporal tourist dispersal analysis in multiple destination travel, Journal of Travel Research, Vol. 46, Issue. 3: 311-317.
  32. Xiang, Z. and Fesenmaier, D.R. (2008). Identifying the online tourism domain: Implications for search engine development for tourism, http://www.springerlink.com/q4543kq172w34477.
  33. Yusup, M.F., Kanyan, A., Kasuma, J., Kamaruddin, H. and Adlin, J. (2016). Determinants of factors and the growth of tourism industry in Langkawi Island, Journal of Scientific Research and Development, 3(2): 13-20.
Journal of Tourism Planning and Development
Volume 6, Issue 22
December 2017
Pages 30-53

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