Agglomeration and performance in Norwegian tourism
Keywords:
tourism, turisme, agglomeration, natural-based attractionsSynopsis
Natural-based attractions are central for Norwegian tourism. Northern lights, rugged arctic landscapes, fjords and mountains, rural areas with culture landscapes are all part of the Norwegian experience. However, Norwegian tourism businesses, particularly in rural areas, struggle to gain profitability. High-cost level and seasonality impose challenges to tourism firms. As the attractions are mainly nature-based and located along the coast, the country is also a thriving destination to cruise tourism. The growth in cruise tourism is mostly due to increased competitiveness of cruises relative to other modes of travel, food, and accommodation services. For the fjord and coastal destinations, cruises bring in large volumes of tourists to the benefit of many tourist suppliers, but they also compete with onshore services. Moreover, the tourism experience relies on construction of a seamless product – as opposed to many other industry sectors, competitiveness goes beyond intra-market concerns, as each firm in the tourism agglomeration rely on its collective competitiveness. Since production and consumption is geographically localized, the limited product range is a disadvantage to many rural destinations. Rural destinations may also be more prone to seasonal variations, since unlike urban destinations they do not benefit from wider market segments and activities in the off season.
This thesis sheds light on these issues by recognizing the external effects that arise from geographically localized production. Market characteristics on the supply and demand sides spill over to other firms in the same area and to adjacent areas. The availability of register data on tourism firms, accompanied by refined regression techniques enables spatial analysis of tourism development. In the context of cruise tourism, a spatial econometric model is applied to investigate the effect of cruise tourism on onshore HORECA (hotels, restaurants, cafés, and similar) firms. The results indicate modest, but significant and positive effects of cruise tourism on demand of onshore firms.
Urbanization is of particular relevance to tourism because of the localized nature of production, as well as of the implications of product range on competitiveness. Our results are in line with the presumption that population growth is strongly associated with decreased seasonality. Moreover, seasonal variations, approximated by sold guest nights, is detrimental to revenue of accommodation firms. Attractions in the off season appear more promising than prolonging the peak season, which is supported by the finding that areas that have seized the opportunity of developing skiing tourism have found a successful remedy to revenue deterioration. The external effects of revenue management decisions should not be neglected; first, we see empirically that hoteliers respond to falling demand in the off season not by dropping prices, but rather by allowing the occupancy rate to fall. Secondly, as we find that diversity of tourism firms associates strongly and positively with firm survival, more refined pricing decisions, that also encompass a broader destination-specific perspective is called upon.
References
Alemayehu, F. K., & Kumbhakar, S. C. (2021). Excess capacity, production technology and technical inefficiency in hospitaliy sector. Tourism Management, 82.
https://doi.org/10.1016/j.tourman.2020.104202
Arthur, W. B. (1996). Increasing returns and the new world of business. Harvard Business Review, 74(4), 100-111.
Backer, E. (2012). VFR travel: It is underestimated. Tourism Management, 33.
https://doi.org/10.1016/j.tourman.2011.01.027
Baum, T. (1999). Seasonality in tourism: Understanding the challenges: Introduction. Tourism Economics, 5(1), 5-8.
https://doi.org/10.1177/135481669900500101
Björk, P., Prebensen, N., Räikkönen, J., & Sundbo, J. (2021). 20 years of tourism experience research: a review and future research agenda. Scandinavian Journal of Hospitality and Toursim, 21(1), 26-36.
https://doi.org/10.1080/15022250.2020.1857302
Bjørnland, H. C., & Thorsrud, L. A. (2015). Boom or gloom? Examining the Dutch disease in two-speed economies. The Economic Journal, 126(598), 2219-2256.
https://doi.org/10.1111/ecoj.12302
Canina, L., Enz, C. A., & Harrison, J. S. (2005). Agglomeration effects and strategic orientations: Evidence from the U.S. lodging industry. Academy of Management journal, 48(4), 565-581.
https://doi.org/10.5465/amj.2005.17843938
Combes, P.-P., & Duranton, G. (2006). Labour pooling, labour poaching and spatial clustering. Regional Science and Urban Economics, 36, 1-28.
https://doi.org/10.1016/j.regsciurbeco.2005.06.003
Coshall, J., Charleswoth, R., & Page, S. J. (2015). Seasonality of overseas tourism demand in Scotland: A regional analysis. Regional Studies, 49(10), 1503-1620.
https://doi.org/10.1080/00343404.2013.859666
Davison, L., & Ryley, T. (2010). Tourism destination preferences of low-cost airline users in the East Midlands. Journal of Transport Geography, 18, 458-465.
https://doi.org/10.1016/j.jtrangeo.2009.07.004
Erkus-Öztürk, H. (2009). The role of cluster types and firm size in designing the level of network relations: The experience of the Antalya tourism region. Tourism Management, 30(4), 589-597.
https://doi.org/10.1016/j.tourman.2008.10.008
Falk, M., & Hagsten, E. (2018). Influence of local environment on exit of accommodation establishments. Tourism Management, 68, 401-411.
https://doi.org/10.1016/j.tourman.2018.04.002
Falk, M., Tveteraas, S. L., & Xie, J. (2021). 20 years of Nordic tourism economics research: a review and future research agenda.
https://doi.org/10.1080/15022250.2020.1833363
Scandinavian Journal of Hospitality and Toursim, 21(1), 78-90.
Frenken, K., Oort, F. V., & Verburg, T. (2007). Related variety, unrelated variety and regional economic growth. Regional Studies, 41(5), 685-697.
https://doi.org/10.1080/00343400601120296
Furunes, T., & Mykletun, R. J. (2012). Frozen adventure at risk? A 7- year follow-up study of Norwegian glacier tourism. Scandinavian Journal of Hospitality and Toursim, 12(4), 324- 348.
https://doi.org/10.1080/15022250.2012.748507
Glaeser, E. L., & Maré, D. C. (2001). Cities and skills. Journal of Labor Economics, 19(2), 316-342.
https://doi.org/10.1086/319563
Grillitsch, M., & Sotarauta, M. (2020). Trinity of change agency, regional development paths and opportunity spaces. Progress in Human Geography, 44(4), 704-723.
https://doi.org/10.1177/0309132519853870
Hartmann, R. (1986). Tourism, seasonality and social change. Lesure Studies, 6(1), 25-33.
https://doi.org/10.1080/02614368600390021
Heimtun, B., Jóhannesson, G. Þ., & Tuulentie, S. (2014). Northern lights tourism in Iceland, Norway and Finland. Retrieved from
https://doi.org/10.7557/7.3266
Hotelling, H. (1929). Stability in competition. The Economic Journal, 39(153), 41-57.
https://doi.org/10.2307/2224214
Hung, K., & Petrick, J. F. (2010). Developing a measurement scale for constraints to cruising. Annals of Tourism Research, 37(1), 206- 228.
https://doi.org/10.1016/j.annals.2009.09.002
Innovation Norway. (2018a). Key figures for Norwegian travel and tourism 2018.
Innovation Norway. (2018b). The Tourism Survey.
Innovation Norway. (2021). Nasjonal reiselivsstrategi 2030 [Norwegian].
Iversen, I., & Jacobsen, J. K. S. (2016). Migrant tourism entrepreneurs in rural Norway. Scandinavian Journal of Hospitality and Toursim, 16(4).
https://doi.org/10.1080/15022250.2015.1113887
Jacobs, J. (1969). The economy of cities. New York: Vintage.
Kalnins, A., & Chung, W. (2006). Social capital, geography, and survival: Gujarati immigrant entrepreneurs in the US lodging industry. Management Science, 52, 233-247.
https://doi.org/10.1287/mnsc.1050.0481
Kaniovski, S., Peneder, M., & Smeral, E. (2008). Determinants of survival in the Austrian accommodation sector. Tourism Economics, 14(3), 527-543.
https://doi.org/10.5367/000000008785633587
Kastenholz, E., & Almeida, A. L. d. (2008). Seasonality in rural tourism - the case of North Portugal. Tourism Review, 63(2), 5- 15.
https://doi.org/10.1108/16605370810883905
Kim, M., Roehl, W., & Lee, S. K. (2020). Different from or similar to neighbors? An investigation of hotels' strategic distances. Tourism Management, 76.
https://doi.org/10.1016/j.tourman.2019.103960
Kim, Y. R., Williams, A. M., Park, S., & Chen, J. L. (2021). Spatial spillovers of agglomeration economies and productivity in the tourism industry: The case of the UK Tourism Management, 82.
https://doi.org/10.1016/j.tourman.2020.104201
Koenig-Lewis, N., & Bischoff, E. E. (2005). Seasonality research: The state of the art. International Journal of Tourism Research, 7, 201-219.
https://doi.org/10.1002/jtr.531
Krugman, P. (1991). Increasing returns and economic geography. The Journal of Political Economy, 99(3), 483-499.
https://doi.org/10.1086/261763
Kuokkanen, H., & Bouchon, F. (2021). When team play matters: Building revenue management in tourism destinations. Tourism Economics, 27(2), 379-397.
https://doi.org/10.1177/1354816620921250
Larsen, S., & Wolff, K. (2016). Exploring assumptions about cruise tourists' visits to ports. Tourism Management Perspectives, 17, 44-49.
https://doi.org/10.1016/j.tmp.2015.12.001
Larsen, S., & Wolff, K. (2019). In defence of the domestic tourist - a comparison of domestic and international tourists' revisitintentions, word-of-mouth propensity, satisfaction and expenditures. Scandinavian Journal of Hospitality and Toursim, 19(4-5), 422-428.
https://doi.org/10.1080/15022250.2019.1695659
Larsen, S., Wolff, K., Doran, R., & Øgaard, T. (2019). What makes tourist experiences interesting. Frontiers in Psychology, 10.
https://doi.org/10.3389/fpsyg.2019.01603
Lue, C.-C., Crompton, J. L., & Fesenmaier, D. R. (1993). Conceptualization of multidestination pleasure trips. Annals of Tourism Research, 20, 289-301.
https://doi.org/10.1016/0160-7383(93)90056-9
Lundmark, L. (2006). Mobility, migration and seasonal tourism employment: Evidence from Swedish mountain municipalities. Scandinavian Journal of Hospitality and Toursim, 6(3), 197- 213.
https://doi.org/10.1080/15022250600866282
Majewska, J. (2015). Inter-regional agglomeration effects in tourism in Poland. Tourism Geographies, 17(3), 408-436.
https://doi.org/10.1080/14616688.2014.997279
Marshall, A. (1890). Principles of economics (1th ed.). London: Macmillan.
Martin, R., & Sunley, P. (2003). Deconstructing clusters: Chaotic concept or policy panacea? . Journal of Economic Geography, 3, 5-35.
https://doi.org/10.1093/jeg/3.1.5
McCann, B. T., & Folta, T. B. (2009). Demand- and supply-side agglomerations: Distinguishing between fundamentally different manifestations of geographic concentration. Journal of Management Studies, 46(3), 362-392.
https://doi.org/10.1111/j.1467-6486.2008.00815.x
Mehmetoglu, M. (2007). Typologising nature-based tourists by activity - Theoretical and practical applications. Scandinavian Journal of Hospitality and Toursim, 28, 651-660.
https://doi.org/10.1016/j.tourman.2006.02.006
Menon. (2018). Reiselivsnæringens verdi. Retrieved from
Michael, E. J. (2003). Tourism micro-clusters. Tourism Economics, 9(2), 133-135.
https://doi.org/10.5367/000000003101298312
Nadal, J. R., Font, A. R., & Rosselló, A. S. (2004). The economic determinants of seasonal patterns. Annals of Tourism Research, 31(3), 697-711.
https://doi.org/10.1016/j.annals.2004.02.001
Novelli, M., Schmitz, B., & Spencer, T. (2006). Networks, clusters and innovation in tourism: A UK experience. Tourism Management, 27, 1141-1152.
https://doi.org/10.1016/j.tourman.2005.11.011
Oklevik, O., Gössling, S., Hall, C. M., Jacobsen, J. K. S., Grøtte, I. P., & McCabe, S. (2019). Overtourism, optimisation and destination performance indicators: a case study of activities in Fjord Norway. Journal of Sustainable Tourism, 27(12), 1804- 1824.
https://doi.org/10.1080/09669582.2018.1533020
Park, S., Yaduma, N., Lockwood, A. J., & Williams, A. M. (2016). Demand fluctuations, labour flexibility and productivity. Annals of Tourism Research, 59, 93-112.
https://doi.org/10.1016/j.annals.2016.04.006
Poon, A. (1994). Tourism, technology and competitive strategies. Wallingford: CAB International.
https://doi.org/10.1079/9780851989501.0000
Porter, M. E. (1998). Clusters and the new economics of competition. Harvard Business Review, 76(6), 77-90.
Shaver, J. M., & Flyer, F. (2000). Agglomeration economies, firm heterogeneity, and foreign direct investments in the United States. Strategic Management Journal, 21, 1175-1193.
https://doi.org/10.1002/1097-0266(200012)21:12<1175::AID-SMJ139>3.0.CO;2-Q
Shaw, G., & Williams, A. (2009). Knowledge transfer and management in tourism organizations: An emerging research agenda. Tourism Management, 30, 325-335.
https://doi.org/10.1016/j.tourman.2008.02.023
Sikveland, M., Xie, J., & Zhang, D. (2022). Determinants of capital structure in the hospitality industry: Impact of clustering and seasonality on debt and liquidity. International Journal of Hospitality Management, 102.
https://doi.org/10.1016/j.ijhm.2022.103172
Singal, M. (2015). How is the hospitality and tourism industry different? An empirical test of some structural characteristics. International Journal of Hospitality Management, 47, 116-119.
https://doi.org/10.1016/j.ijhm.2015.03.006
Skrede, O., & Tveteraas, S. L. (2019). Cruise spillovers to hotels and restaurants. Tourism Economics, 25(8), 1286-1301.
https://doi.org/10.1177/1354816619836334
Sletvold, O. (1993). Reiseliv i historien: Noen hovedtrekk fra reiselivets historie. Alta: Finnmark Regional College, Department of tourism [Norwegian].
Smith, A., & Strand, I. v. K. (2011). Oslo's new Opera House: Cultural flagship, regeneration tool or destination icon? European urban and regional studies, 18(1), 93-110.
https://doi.org/10.1177/0969776410382595
Stahl, K. (1982). Differentiated products, consumer search, and locational oligopoly. The Journal of Industrial Economics, 31(1/2), 97-113.
https://doi.org/10.2307/2098007
Strømseth, K., & Naert, S. (2017). Activating the Norway brand. A global report on holiday needs and segments for Innovation Norway. Retrieved from
Surugiu, C., Surugiu, M.-R., Dinca, A.-I., & Frent, C. (2012). Labour productivity and investments as determinants of wages: A pool data analysis of the Romanian hotel and restaurant sector. Tourism Economics, 18(1), 219-242.
https://doi.org/10.5367/te.2012.0099
Szivas, E. (2001). Entrance into tourism entrepreneurship: A UK case study. Tourism and Hospitality Research, 3(2), 163-172.
https://doi.org/10.1177/146735840100300207
Tveteraas, S. L., & Xie, J. (2022). The effects of COVID-19 on tourism in Nordic countries. In Globalization, Political Economy, Business and Society in Pandemic Times (Vol. 36, pp. 109- 126): Emerald Publishing Limited.
https://doi.org/10.1108/S1876-066X20220000036011
World Economic Forum. (2019). The Travel & Tourism Competitiveness Report. Retrieved from Geneva:
Xie, J., & Tveterås, S. (2020). Economic decline and the birth of a tourist nation. Scandinavian Journal of Hospitality and Toursim, 20(1), 49-67.
https://doi.org/10.1080/15022250.2020.1719882
Yang, Y. (2016). Agglomeration density and labor productivity in China's tourism industry. International Journal of Tourism Research, 18, 434-446.
https://doi.org/10.1002/jtr.2061
Yang, Y., & Fik, T. (2014). Spatial effects in regional tourism growth. Annals of Tourism Research, 46, 144-162.
https://doi.org/10.1016/j.annals.2014.03.007
Yang, Y., Fik, T. J., & Zhang, H.-l. (2017). Designing a tourism spillover index based on multidestination travel: A two-stage distance-based modeling approach. Journal of Travel Research, 56(3), 317-333.
https://doi.org/10.1177/0047287516641782
Yang, Y., & Wong, K. K. F. (2012). A spatial econometric approach to model spillover effects in tourism flows. Journal of Travel Research, 51(6), 768-778.
https://doi.org/10.1177/0047287512437855
Zhang, D., & Xie, J. (2021). Influence of tourism seasonality and financial ratios on hotels' exit risk. Journal of Hospitality & Tourism Research.
https://doi.org/10.1177/10963480211016038
Øgaard, T., Doran, R., Larsen, S., & Wolff, K. (2019). Complexity and simplification in understanding travel preferences among tourists. Frontiers in Psychology.