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The Role of Tourism in Sustainable Communities

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Part of the book series: International Handbooks of Quality-of-Life ((IHQL))

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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Notes

  1. 1.

    To create these indexes, one might combine different indicators of QOL related to environmental, economic, and sociocultural influences. The use of indicators to characterize various elements of QOL and/or satisfaction is common in the literature (e.g., Perdue et al. 1999; Neal et al. 2004).

  2. 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. 3.

    Johnston and Tyrrell (2005) detail some of the assumptions implicit in this simplification.

  4. 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.

  5. 5.

    In general, we assume that L V >  0, L A >  0, L VV <  0, L AA <  0.

  6. 6.

    This includes renewable through ecological, civil, and sociocultural processes.

  7. 7.

    An equilibrium point, such as C, is known as a saddle point (Chiang 1992).

  8. 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.

  9. 9.

    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. 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. 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. 12.

    We have used the obvious difference equation equivalents for the differential equations for the simulations.

  13. 13.

    The trajectories only begin to show signs of stability as they near the 30th year.

  14. 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.

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Appendix

Appendix

$$ {\displaystyle \underset{0}{\overset{\infty }{\int }}[L(V,A)]{e}^{-rt}dt}$$
$$ A=XSE$$
$$ L=L(V,A)={V}^{b}A={V}^{b}XSE$$
$$ H={V}^{b}A{e}^{-rt}+{l}_{X}\left({g}_{X}A\left(1-\frac{X}{\overline{X}}\right)+{d}_{X}V\right)+{l}_{S}\left({g}_{S}A\left(1-\frac{S}{\overline{S}}\right)+{d}_{S}V\right)+{l}_{E}\left({g}_{E}A\left(1-\frac{E}{\overline{E}}\right)+{d}_{E}V\right) $$
$$ \dot{X}=\frac{\partial X}{\partial t}={h}_{X}-{g}_{X}(V)={g}_{X}A\left(1-\frac{X}{\overline{X}}\right)+{d}_{X}{V}_{t}$$
$$ \dot{S}=\frac{\partial S}{\partial t}={g}_{S}A\left(1-\frac{S}{\overline{S}}\right)+{d}_{S}{V}_{t}$$
$$ \dot{E}=\frac{\partial E}{\partial t}={g}_{E}A\left(1-\frac{E}{\overline{E}}\right)+{d}_{E}{V}_{t}$$
$$ \begin{array}{l}{\dot{l}}_{X}=-\frac{\partial H}{\partial X}=\left[-{L}_{X}{e}^{-rt}-{l}_{X}\left(\frac{\partial {h}_{X}}{\partial X}\right)-{l}_{S}\left(\frac{\partial {h}_{S}}{\partial X}\right)-{l}_{V}\left(\frac{\partial {h}_{E}}{\partial X}\right)\right]\\ \text{}=-\left[{V}^{b}\frac{A}{X}{e}^{-rt}+{l}_{X}{g}_{X}\left(A\left(-\frac{1}{\overline{X}}\right)+\frac{A}{X}\left(1-\frac{X}{\overline{X}}\right)\right)+{l}_{S}{g}_{S}\frac{A}{X}\left(1-\frac{S}{\overline{S}}\right)+{l}_{E}{g}_{E}\frac{A}{X}\left(1-\frac{E}{\overline{E}}\right)\right]\\ \text{}=-\frac{A}{X}\left[{V}^{b}{e}^{-rt}+{l}_{X}{g}_{X}\left(-\frac{X}{\overline{X}}\right)+{l}_{X}{g}_{X}\left(1-\frac{X}{\overline{X}}\right)+{l}_{S}{g}_{S}\left(1-\frac{S}{\overline{S}}\right)+{l}_{E}{g}_{E}\left(1-\frac{E}{\overline{E}}\right)\right]\\ \text{}=-\frac{A}{X}\left[{V}^{b}{e}^{-rt}-{l}_{X}{g}_{X}\frac{X}{\overline{X}}+\Phi \right]=-\frac{L{e}^{-rt}}{X}+{l}_{X}{g}_{X}\frac{A}{\overline{X}}-\Phi \frac{A}{X},\end{array}$$

where \( \Phi ={l}_{X}{g}_{X}\left(1-\frac{X}{\overline{X}}\right)+{l}_{S}{g}_{S}\left(1-\frac{S}{\overline{S}}\right)+{l}_{E}{g}_{E}\left(1-\frac{E}{\overline{E}}\right) \)

$$ {\dot{l}}_{S}=-\frac{\partial H}{\partial S}=-\frac{A}{S}\left[{V}^{b}{e}^{-rt}-{l}_{S}{g}_{S}\frac{S}{\overline{S}}+\Phi \right]$$
$$ {\dot{l}}_{E}=-\frac{\partial H}{\partial E}=-\frac{A}{E}\left[{V}^{b}{e}^{-rt}-{l}_{E}{g}_{E}\frac{E}{\overline{E}}+\Phi \right]$$
$$ \frac{{\partial H}}{{\partial V}} = \beta A{V^{{\beta - 1}}}{e^{{ - rt}}} + {\delta_X}{\lambda_X} + {\delta_S}{\lambda_S} + {\delta_E}{\lambda_E} = 0 $$

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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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