A Spatial Analysis of Tourism Infrastructure in Romania: Spotlight on Accommodation and Food Service Companies

  • Daniela Luminita Constantin Bucharest University of Economic Studies
  • Adriana Reveiu Bucharest University of Economic Studies

Abstract

Location is a key concept in tourism sector analysis, given the dependence of this activity on the natural, built, cultural and social characteristics of a certain territory. As a result, the tourist zoning is an important instrument for delimiting tourist areas in accordance with multiple criteria, so as to lay the foundations for finding the most suitable solutions of turning to good account the resources in this field. The modern approaches proposed in this paper use a series of analytical tools that combine GIS and spatial agglomeration analysis based techniques. They can be also employed in order to examine and explain the differences between tourist zones (and sub-zones) in terms of economic and social results and thus to suggest realistic ways to improve the efficiency and effectiveness of tourist activities in various geographical areas. In the described context this paper proposes an interdisciplinary perspective (spatial statistics and Geographical Information Systems) for analysing the tourism activity in Romania, mainly aiming to identify the agglomerations of companies acting in this industry and assess their performance and contribution to the economic development of the corresponding regions. It also intends to contribute to a better understanding of the way in which tourism related business activities develop, in order to enhance appropriate support networks. Territorial and spatial statistics, as well as GIS based analyses are applied, using data about all companies acting in tourism industry in Romania provided by the National Authority for Tourism as well as data from the Environmental Systems Research Institute (ESRI).

Author Biographies

Daniela Luminita Constantin, Bucharest University of Economic Studies
Professor of Regional Economics and Policy
Adriana Reveiu, Bucharest University of Economic Studies

Associate Professor of Economic Informatics

References

Albert, S., Anna, G., Ricard, R., Mar, V., Modest, F. (2014), “Do implicit prices for hotel sand second homes show differences in tourists’ valuation for public attributes for each type of accommodation facility”, International Journal of Hospitality Management, 36, pp. 120–129.

Anselin, L., Syabri, I., Smirnov, O. (2002), “Visualising Multivariate Spatial Correlation with Dynamically Linked Windows”, Annual Meetings of the Association of American Geographers, Los Angeles, CA, March 20–23, 2002.

Anselin, L. (1995), “Local indicators of spatial association – LISA”, Geographical Analysis, 27(2), pp. 93-115.

Brown, G., (2006), “Mapping landscape values and development preferences: a method for tourism and residential development planning”, International Journal of Tourism Research, 8 (2), pp. 101–113.

Dominicis, de L., Arbia, G. L. and Groot, H. (2007), “Spatial Distribution of Economic Activities in Local Labour Market Areas: The Case of Italy”, Tinbergen Institute Discussion Paper, 07-094/3, Amsterdam-Rotterdam.

Cheng, T., Haworth, J. and Anbaroglu, B. (2014), “Spatiotemporal Data Mining”, in M.M. Fischer and P Nijkamp (Eds), Handbook of Regional Science, Springer, pp. 1173-1194.

Constantin, D.L., Mitrut, C. (2009), “Cultural Tourism, Sustainability and Regional Development: Experiences from Romania”, in L. Fusco-Girard and P. Nijkamp (Eds), Cultural Tourism and Sustainable Local Development, Ashgate, pp. 149-166.

Gaughan, A.E., Binford, M.W., Southworth, J. (2009), “Tourism, forest conversion, and land transformations in the Angkor basin, Cambodia”, Applied Geography 29 (2), pp. 212–223.

Griffith, D.and Chun Y. (2014), “Spatial Autocorrelation and Spatial Filtering”, in M.M. Fischer and P Nijkamp (Eds), Handbook of Regional Science, Springer, pp. 1477-1508.

Goschin, Z. (2015), “Evolution of wage and unemployment gaps in the context of economic crisis. A spatial perspective”, Romanian Journal of Regional Science,.9 (1), pp.17-33.

Haining R. (2014), “Spatial Data and Statistical Methods: A Chronological Overview”, in M.M. Fischer and P Nijkamp (Eds), Handbook of Regional Science, Springer, pp. 1277-1294.

Haylar, B., Griffin, T., Edwards, D. (2008), City Spaces – Tourist Places, Elsevier.

Kirschner, T. (2015), “Tourism Clusters – A model for the development of innovative tourist products”, Carpathian Tourist Cluster, available at www.tourism-cluster-romania.com

Lau, G., McKercher, B. (2006), “Understanding tourist movement patterns in a destination: a GIS approach”, Tourism and Hospitality Research, 7 (1), pp. 39–49.

Panosso Netto, A., Trigo, L.G.G. (2015), Tourism in Latin America: Cases of Success, Springer.

Pearce D.G. (1995), Tourism Today: A Geographical Analysis, (2nd ed.) Longman, Harlow.

Poslad, S., Laamanen, H., Malaka, R., Nick, A., Buckle, P., Zipl, A. (2001), “Crumpet: creation of user-friendly mobile services personalised for tourism”, paper presented at the 3G Mobile Communication Technologies, 2001 - Second International Conference.

Symanzik, J. (2014), “Exploratory Spatial Data Analysis”, in M.M. Fischer and P Nijkamp (Eds), Handbook of Regional Science, Springer, pp. 1295-1130.

Seul, K.L. (2015), “Quality differentiation and conditional spatial price competition among hotels”, Tourism Management, 46, pp. 114–122.

Shoval, N., McKercher, B., Ng, E., Birenboim, A. (2011), “Hotel location and tourist activity in cities”, Annals of Tourism Research,. 38 (4), pp. 1594–1612.

van Herwijnen, M., Hanssen, R. and Nijkamp, P., “A Multi-criteria Decision Support Model and Geographic Information System for Sustainable Development Planning of the Greek Islands”, in P.Nijkamp (Ed.), Environmental Economics and Evaluation, Edward Elgar, 2004, pp. 198-211.

WEF (2013), The Travel and Tourism Competitiveness Report 2013. Reducing Barriers to Economic Growth and Job Creation, World Economic Forum, Geneva, available at www. weforum.org/ttcr

Yang, Y., Hao, L., Rob, L. (2014), “Theoretical, empirical, and operational models in hotel location research”, International Journal of Hospitality Management, 36, pp. 209–220.

Zhang, H.Q., Guillet, B.D., Gao, W. (2012), “What determines multinational hotel groups’ locational investment choice in China?”, International Journal of Hospitality Management, 31 (2), pp. 350–359.

Published
2018-02-01
How to Cite
Constantin, D. L. and Reveiu, A. (2018) “A Spatial Analysis of Tourism Infrastructure in Romania: Spotlight on Accommodation and Food Service Companies”, REGION, 5(1), pp. 1-16. doi: 10.18335/region.v5i1.111.
Section
Articles
Share