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Distributing conservation incentives in the buffer zone of Chitwan National Park, Nepal

Published online by Cambridge University Press:  03 April 2008

ARIAN SPITERI
Affiliation:
Alberta Tourism, Parks, Recreation and Culture, PO Box 280, Exshaw, Alberta, Canada T0L 2C0 26-640 Upper Lakeview Road, Invermere, BC Canada, V0A 1K3
SANJAY K. NEPAL*
Affiliation:
Department of Recreation, Park and Tourism Sciences, Texas A&M University, College Station, TX 77845-2261, USA
*
*Correspondence: Dr Sanjay K. Nepal Tel: +1 979 862 4080 Fax: +1 979 845 0446 e-mail: sknepal@tamu.edu
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Summary

Since the late 1980s, biodiversity conservation efforts have expanded to incorporate delivering social and economic benefits to communities nearby or within protected areas. Benefits can generate incentives to encourage conservation support; however, such incentive-based programmes (IBPs) have been criticized owing to their inability to provide equal and equitable distribution of benefits. This research examines the distribution of IBPs in the buffer zone of Nepal's Chitwan National Park (CNP). Questionnaire interview data indicate the livelihoods of buffer zone residents remain strained by conservation activities. While benefits under IBPs are recognized by the residents, villages distant from the main tourist entry points to the park where costs associated with conservation are highest recognize few benefits. An individual's level of participation in tourism also affects the benefits received, with those directly employed in tourism receiving the most benefit. Despite the discrepancy in benefit distribution between villages and between levels of involvement in tourism, CNP is making progress in distributing benefits beyond villages where tourism is concentrated. The main IBP flaw in CNP is a limited ability to replicate benefits throughout the buffer zone, providing similar levels of benefit to all villages.

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Copyright
Copyright © Foundation for Environmental Conservation 2008
Figure 0

Figure 1 Diagrammatic map of study area (not to scale). CNP = Chitwan National Park.

Figure 1

Table 1 Differences in proportion of respondents identifying costs in gateway (GV) and distant (DGV) villages. Association indicated by Cramer's V: moderate.

Figure 2

Table 2 Results of logistic regression between demographic variables and costs. B = regression coefficient, SE = standard error, Wald = Wald statistic, p = significance.

Figure 3

Table 3 Percentage benefits identified by respondents for household and community, based on total number of respondents including those who gave no response. Percentages do not equal 100% because respondents were allowed to provide more than one response. χ2 test results not provided when more than 20% of cells had expected cell frequencies < 5. aExpressed as a percentage of people perceiving benefits from tourism. Associations indicated by Cramer's V: bmoderate, csubstantial and dvery strong.

Figure 4

Table 4 Results of logistic regression between demographic variables and perceptions of benefit receipt. B = regression coefficient, SE = standard error, Wald = Wald statistic, p = significance.

Figure 5

Figure 2 Mean perception of benefit receipt by type of tourism benefit.

Figure 6

Table 5 Results of hierarchical logistic regression between costs and perception of benefit receipt. B = regression coefficient, SE = standard error, Wald = Wald statistic, p = significance.