Abstract
This chapter develops a model through which a dynamic analysis of tourism sustainability can be implemented within the context of broader community development goals. The model focuses on the relationship between tourism and quality-of-life as influenced by impacts on economic, sociocultural, and environmental outcomes. This perspective is similar to triple bottom line (TBL) assessments that add sociocultural and environmental dimensions to the traditional economic bottom line. The role of tourism is first analyzed in a stylized but formal dynamic model that equates the quest for sustainability with the quest for an optimal path to long-term stability where a visitation variable is used to control a single community quality-of-life asset. Principle results of this analysis are then further explored using mathematical planning exercise for a community with explicit sustainability goals and the recognition of its triple bottom line of environmental, social, and economic assets. By combining a TBL approach with a formal dynamic approach toward tourism sustainability, the model provides insights into trade-offs implied in sustainable tourism and suggests general principles for tourism planning.
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- 1.
- 2.
More complex model variants might define tourism quantity using more complex multimetric indicators; we abstract from such possibilities to maintain an emphasis on other aspects of model development.
- 3.
Johnston and Tyrrell (2005) detail some of the assumptions implicit in this simplification.
- 4.
More complicated specifications could allow V to have different effects on different community assets. For example, in some instances, V might be assumed to have a positive marginal effect on economic assets E but a negative marginal effect on environmental and sociocultural assets (X and S). These changes, however, further complicate model solutions and interpretations.
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In general, we assume that L V > 0, L A > 0, L VV < 0, L AA < 0.
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This includes renewable through ecological, civil, and sociocultural processes.
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An equilibrium point, such as C, is known as a saddle point (Chiang 1992).
- 8.
According to the Catenary Turnpike Theorem (Samuelson 1965), the longer the time period being considered, the more the optimal paths will arch toward the stable branch to the steady state.
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More complex formulations could include a variety of characterizations, for example, the possibility of community investment in capacity (e.g., establishment of parks and open space in degraded areas).
- 10.
For example, at initial levels of V, X, S, and E, the endogenous growth in X will be 0.01 × 0.75 × (1−½) = 0.00375.
- 11.
For example, when V is at its current level of 1, endogenous growth will be reduced by −0.004 on the margin, and environmental assets will experience a net change of −0.00025.
- 12.
We have used the obvious difference equation equivalents for the differential equations for the simulations.
- 13.
The trajectories only begin to show signs of stability as they near the 30th year.
- 14.
While the problem for a longer period is mathematically solvable, it is unlikely that any set of asset parameters would be constant over such a long period. In addition, it is unlikely that the quality-of-life index for the current generation would be equally relevant for future generations. While the long-term goal of steady-state sustainability can provide a valuable philosophical base for community planning, short- and intermediate-term decisions will likely be based on returns to the current generation and their desire to bequeath community assets to the next generation.
References
Australian Government. Department of the Environment, Water, Heritage, and the Arts. (2003). Triple bottom line reporting in Australia a guide to reporting against environmental indicators. Canberra: Community Information Unit. Retrieved May 5, 2009, from http://www.resourcesaver.org/file/toolmanager/CustomO16C45F42151.pdf
Bennett, J., & Blamey, R. (Eds.). (2001). The choice modeling approach to environmental valuation. Northampton: Edward Elgar.
Boardman, A. E., Greenberg, D. H., Vining, A. R., & Weimer, D. L. (2006). Cost-benefit analysis: Concepts and practice (3rd ed.). Upper Saddle River: Prentice Hall.
Butler, R. W. (1980). The concept of a tourist area cycle of evolution: Implications for management of resources. Canadian Geographer, 24(1), 5–12.
Casagrandi, R., & Rinaldi, S. (2002). A theoretical approach to tourism sustainability. Conservation Ecology, 6(1), 13–27.
Charter for Sustainable Tourism, by the World Conference on Sustainable Tourism, Lanzarote, Spain, April 27–28, 1995. http://www.tui-group.com/uuid/535d6e3f6fbc79fd5a5cb975718d04ba
Chiang, A. C. (1992). Elements of dynamic optimization. New York, NY: McGraw-Hill.
Choi, H. S., & Sirakaya, E. (2006). Sustainability indicators for managing community tourism. Tourism Management, 27(6), 1274–1289.
Collins, A. (1999). Tourism development and natural capital. Annals of Tourism Research, 26(1), 98–109.
Crouch, G. I., & Louviere J. J. (2001). A review of choice modelling research in tourism, hospitality and leisure. Chapter 5. In: J. A. Mazanec, A. G. Woodside, & G. I. Crouch (Eds.), Consumer psychology of tourism, hospitality and leisure. Wallingford: CABI Publishing/CAB International.
Crouch, G. I., & Ritchie, J. R. B. (1999). Tourism, competitiveness, and societal prosperity. Journal of Business Research, 44, 137–152.
Darcy, S., Cameron, B., & Pegg, S. (2010). Accessible tourism and sustainability: A discussion and case study. Journal of Sustainable Tourism, 18(4), 515–537.
Dasgupta, S. B., Laplante, H. W., & Wheeler, D. (2002). Confronting the environmental Kuznets curve. Journal of Economic Perspectives, 16(1), 147–168.
Davies, T., & Cahill, S. (2000, March). Environmental implications of the tourism industry, resources for the future, Washington DC (Discussion Paper 00–14).
Deery, M., Jago, L., & Fredline, L. (2005). A framework for the development of social and socioeconomic indicators for sustainable tourism in communities. Tourism Review International, 9, 69–77.
Dwyer, L. (2005). Relevance of triple bottom line reporting to achievement of sustainable tourism: A scoping study. Tourism Review International, 9, 79–93.
Elkington, J. (1994). Towards the sustainable corporation: Win-win-win business strategies for sustainable development. California Management Review, 36(2), 90–100.
Faux, J. (2005). Theoretical and practical contexts of triple bottom line performance and reporting: Implications for the tourism sector. Tourism Review International, 9, 95–105.
Huybers, T., & Bennett, J. (2003). Environmental management and the competitiveness of nature-based tourism destinations. Environmental and Resource Economics, 24, 213–233.
Johnston, R. J., & Tyrrell, T. J. (2005). A dynamic model of sustainable tourism. Journal of Travel Research, 44(2), 124–134.
Krugman, P., (1996). The self-organizing economy. Oxford, UK: Blackwell.
Louviere, J. J., Hensher, D. A., & Swait, J. D. (2000). Stated preference methods: Analysis and application. Cambridge: Cambridge University Press.
McKercher, B. (1999). A chaos approach to tourism. Tourism Management, 20, 425–434.
Neal, J. D., Sirgy, J., & Uysal, M. (2004). Measuring the effect of tourism services on travelers’ quality of life: Further validation. Social Indicators Research, 69, 243–277.
Perdue, R., Long, P., & Kang, Y. (1999). Boomtown tourism and resident quality of life: The marketing of gaming to host community residents. Journal of Business Research, 44(3), 165–177.
Samuelson, P. A. (1965). A catenary turnpike theorem involving consumption and the golden rule. American Economic Review, 55(3), 486–496.
Schianetz, K., Kavanagh, L., & Lockington, D. (2007). The learning tourism destination: The potential of a learning organisation approach for improving the sustainability of tourism destinations. Tourism Management, 28(6), 1485–1496.
Suggett, D., & Goodsir, B. (2002). Triple bottom line measurement and Reporting in Australia: Making it tangible. Melbourne: The Allen Consulting Group, Commonwealth of Australia. http://www.environment.gov.au/settlements/industry/publications/triple-bottom/index.html
Tyrrell, T. & Johnston, R. (2008). Tourism sustainability, resiliency and dynamics: Towards a more comprehensive perspective. Tourism and Hospitality Research, 8, 14–24.
Tyrrell, T. & Johnston, R. (2009). An Econometric Analysis of the Effects of Tourism Growth on Municipal Revenues and Expenditures. Tourism Economics, 15, 771–783.
Tyrrell, T., Morris, C. & Casson, M. (2010). Evaluating tourism community preferences. Tourism Analysis, 15, 121–124.
Williams, P. W. (1994). Frameworks for assessing tourism’s environmental impacts. In J. R. Brent Ritchie & C. R. Goeldner (Eds.), Travel, tourism and hospitality research (2nd ed.). New York: Wiley.
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Appendix
Appendix
where \( \Phi ={l}_{X}{g}_{X}\left(1-\frac{X}{\overline{X}}\right)+{l}_{S}{g}_{S}\left(1-\frac{S}{\overline{S}}\right)+{l}_{E}{g}_{E}\left(1-\frac{E}{\overline{E}}\right) \)
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Tyrrell, T.J., Johnston, R.J. (2012). The Role of Tourism in Sustainable Communities. In: Uysal, M., Perdue, R., Sirgy, M. (eds) Handbook of Tourism and Quality-of-Life Research. International Handbooks of Quality-of-Life. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2288-0_33
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