Assessing visitors’ behavioural intention, preferences and willingness to pay on Malayan tiger conservation in Taman Negara, Pahang, Malaysia
The population of the unique and critically endangered species Malayan tiger (Panthera tigris jacksoni) continues to decline to less than 200 in the wild, demanding immediate attention to apply conservation action plans. Thus, this study aimed to determine visitors‟ behaviour, preferences and the...
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Format: | Thesis |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/105526/1/SPE%202022%2023%20UPM%20IR.pdf http://psasir.upm.edu.my/id/eprint/105526/ |
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Institution: | Universiti Putra Malaysia |
Language: | English |
Summary: | The population of the unique and critically endangered species Malayan tiger
(Panthera tigris jacksoni) continues to decline to less than 200 in the wild, demanding
immediate attention to apply conservation action plans. Thus, this study aimed to
determine visitors‟ behaviour, preferences and the estimation of their willingness to pay
for Malayan tiger conservation attributes in Taman Negara, Pahang, which is one of the
Malaysian national parks. The motivation of this study is to highlight the factors that
impact the intention to pay for tiger conservation and estimates the visitors' estimated
willingness to pay for tiger conservation attributes. Structural Equation Modelling was
utilised to determine the impact of attitude, subjective norms and perceived behavioural
control on visitors‟ willingness to pay toward Malayan tiger conservation. While,
Choice Experiment method was used to identify visitors preferences and willingness to
pay for Malayan tiger conservation attributes by estimating multinomial, mixed logit
and latent class models. The selected attributes were the number of tigers in the next 12
years, the number of tiger prey, rangers, frequency of awareness programmes near tiger
habitats, size of buffer zones, and conservation fee. The estimations were done with
basic and interaction models of visitors‟ socio-demographic characteristic in
multinomial and mixed logit models. The data was collected from 315 visitors‟ of
Taman Negara, Pahang, ranging from 18 years old and above, with different sociodemographic
characteristics. Results showed that attitude, subjective norms and
perceived behavioural control have a significant positive impact on visitors‟ intention
to pay for Malayan tiger. Furthermore, Choice Experiment results revealed that all
attributes were significant and exhibited the sign as expected, except for the high
number of tiger prey. This attribute was insignificant in the MXL interaction model.
Increasing the number of tigers in the next 12 years was the most preferred attribute
with the willingness to pay varying from MYR15.42 to MYR18.07 between the
models. The results also revealed that education and gender significantly impacted
visitors‟ preferences. Visitors with high education level are willing to pay to increase tigers‟ prey. In addition, males are willing to pay to increase the awareness programme
frequency, whereas females are willing to pay to increase the number of prey and
rangers. In the LCM model identified the existence of heterogeneity in 2 classes. The
most preferred attribute in class 1 was increasing the number of tigers (Tign3).
Meanwhile in class 2, the most preferred attribute was increasing the number of rangers
(Rang3). Moreover, this study provided information related to visitors‟ knowledge and
awareness toward Malayan tiger current situation and the importance of Malayan tiger.
The results showed a significant positive impact of attitude, subjective norms and
perceived behavioural control on the intention to pay for the Malayan tiger
conservation. Additionally, the results were robust across estimation models and
showed that the visitors are willing to pay to conserve the Malayan tigers, and
increasing the tigers‟ population was a priority. These findings would support
policymakers in applying an efficient conservation budget allocation to develop
conservation management plans. |
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