Sage Journals: Discover world-class research

Abstract

The Malayan Tapir is classified as endangered globally, with threats in Malaysia including forest loss and fragmentation, human-tapir conflicts, and roadkill incidents. The objectives of this study were to determine the knowledge and attitudes of visitors to ex-situ conservation facilities toward the Malayan Tapir and its conservation in Malaysia, to identify the factors influencing visitors’ willingness to pay (WTP) for tapir conservation, and to estimate the WTP among the visitors for the conservation of the Malayan Tapir. Data was collected through a face-to-face survey questionnaire developed using the Single Bound Contingent Valuation Method (SBCVM). A total of 358 respondents were selected using convenience sampling. The results of logit regression analysis indicated that bid, age, and attitude had significant relationship with WTP. The study found that the mean WTP for Malayan Tapir conservation fee was MYR (Malaysian Ringgit) 8.30/USD 2 per person, applicable once per visit annually. The findings will help the Malayan Tapir Conservation Action Plan committee and policymakers in formulating conservation strategies. A conservation fee could be added to the Sungai Dusun Wildlife Conservation Center.

Keywords

single bound CVM Malayan Tapir willingness to pay conservation endangered species

Introduction

The Malayan tapir (Tapirus indicus) is the largest of the four species of tapirs in the world. It is native to Southeast Asia, with populations covering Southern Myanmar, Thailand, Peninsular Malaysia and Sumatra (Donny et al., 2022). Adult Malayan tapirs are distinctive and can be easily identified by their unique black and white coloration. The survival of the Malayan Tapir population is severely threatened by rapid development across the country, which leads to habitat loss and fragmentation, and changes in land use (Zainal Zahari et al., 2001). These factors have resulted in the displacement of the tapir, increasing their vulnerability to human-wildlife conflicts and roadkill incidents (Department of Wildlife and National Parks Peninsular Malaysia, 2021). Due to its declining population, the Malayan tapir is listed as “Endangered” globally (Traeholt et al., 2014) and is totally protected in Malaysia under the Wildlife Conservation Act 2010 (Magintan et al., 2021).

While various conservation initiatives have been implemented by Department of Wildlife and National Parks (DWNP) Peninsular Malaysia including habitat protection, installation of wildlife crossing signage and localized awareness campaigns several critical gaps remain. First, there is insufficient long-term population monitoring, leading to limited understanding of current distribution trends and ecological needs (Jamhuri et al., 2018). Second, habitat fragmentation caused by agricultural expansion and infrastructure development continues to reduce genetic diversity and disrupt movement corridors (Lechner et al., 2017). Third, conservation efforts remain largely country-specific, with limited cross-border collaboration across the species range. Additionally, ex-situ conservation initiatives, such as coordinated captive breeding programs, are underdeveloped and public awareness about the species’ ecological role remains low. Addressing these gaps is important to enhance conservation effectiveness, restore habitat connectivity, foster regional cooperation and community engagement, ultimately ensuring the species’ long-term survival.

Systematic monitoring can aid in addressing data deficiencies, improving conservation strategies (Jamhuri et al., 2018). Enhancing habitat connectivity will promote gene flow and facilitate species movement, helping restore ecological balance and resilience (Lim et al., 2022). Strengthening cross-border cooperation can harmonize conservation policies and amplify the impact of regional initiatives. Robust ex-situ programs, including coordinated captive breeding and reintroduction plans, serve as a safeguard for maintaining genetic diversity. Equally important, raising public awareness fosters community ownership and active participation in conservation, thereby reducing human-induced threats. Understanding the public’s willingness to pay (WTP) for tapir conservation provides valuable insights into potential funding mechanisms, public engagement levels and policy support, ultimately helping to prioritize and implement the most impactful strategies.

Conserving the Malayan Tapir contributes not only to its survival but also to the preservation of its ecosystem and the ecological roles it performs (O’Farrill et al., 2013). Over the past decade, some funding has been directly or indirectly allocated to conserve the Malayan Tapir in Malaysia. Under the Ecological Fiscal Transfer for Biodiversity Conservation (EFT), USD 46,756,300 (MYR 200 million) has been allocated for 2024, to expand protected areas and conserve threatened wildlife. Although the government allocated funding annually and corporate bodies donate for wildlife conservation, funding is still one of the constraints in implementation of wildlife conservation initiatives, including ex-situ conservation programs (Department of Wildlife and National Parks Peninsular Malaysia, 2021).

Given that public knowledge plays a vital role in the management of wildlife (Ostermann-Miyashita et al., 2022). Knowledge is a crucial factor of individual behavior (Frick et al., 2004) and it influences the valuation of environmental commodities (Jakabsson & Andrew, 1996). Attitudes toward wildlife play a crucial role in predicting support for wildlife conservation (Liordos et al., 2017). Specifically, individuals who hold positive attitudes toward wildlife are more likely to support wildlife conservation efforts (Dhungana et al., 2022; Mukhacheva et al., 2022). Zoos and wildlife conservation centers not only provide a space for people to connect with nature and wildlife, but also as educational tools to raise awareness about the ecosystem (Castillo-Huitrón et al., 2020). These ex-situ facilities play a crucial role in teaching the public about the species and conservation programs aimed at restoring populations that are under threat. People who visit wildlife centers tend to be more environmentally aware and more supportive of conservation initiatives (Arbieu et al., 2020).

Studies on the WTP for wildlife conservation, focusing on mammals, have been extensively conducted (see Appendix). The majority of research has centered on the economic valuation of elephants, with notable studies by Nordin et al. (2023), Kaffashi et al. (2015), Bandara dan Tisdell (2005), and Wang et al. (2018) focusing on the African Elephant. Additionally, tigers have been frequently examined for their economic value, with significant studies by Rusdi et al. (2022) and Bhattarai et al. (2021). Other notable research includes studies on pangolins by Tseng et al. (2021), the Mauritian Flying Fox by Jaunky et al. (2021), the Giant Panda by Shuib et al. (2015), the Ryukyu Flying Fox by Vincenot et al. (2015), and the otter water vole by White et al. (1997). Furthermore, Subroy et al. (2019) identified a significant literature gap, noting that only 109 WTP estimates for threatened species have been derived from 47 stated preference studies across 19 countries up to 2017. Most existing studies either include WTP estimates for both endangered species and habitats or combine values for individual and groups of species, sometimes incorporating human interactions such as hunters and endangered species. Specifically, Single Bound Contingent Valuation Method (CVM) studies on WTP, particularly in Malaysia, have received limited attention. Therefore, there is an urgent need for a study focusing on visitors’ WTP for the conservation of the Malayan Tapir.

This study is expected to provide both theoretical and practical contributions. Theoretically, it advances understanding of how public awareness, attitudes, and WTP shape support for endangered species conservation, adding to the limited literature especially on Malayan Tapir. Practically, it provides insights for policymakers and conservationists by informing education campaigns, resource allocation within frameworks such as the Ecological Fiscal Transfer and identifying funding strategies that engage both public and private sectors. Together, these contributions highlight the importance of integrating ecological and social dimensions in strengthening Malayan Tapir conservation. The specific objectives of this study were to: (a) determine the knowledge and attitudes of visitors toward the Malayan Tapir and its conservation in Malaysia, (b) identify the factors influencing visitors’ WTP for tapir conservation (c) estimate the WTP among wildlife center visitors in Selangor for the conservation of the Malayan Tapir.

The hypotheses of this study are as follows:

Hypothesis (H1): The mean level of visitor’s knowledge and attitude is high

Hypothesis (H2): Knowledge, attitudes, and socio-demographic variables have significant relationship with WTP for Malayan Tapir conservation

Hypothesis (H3): Visitors are willing to pay a positive amount for Malayan Tapir conservation

Material and Methods

Study Area

This study was conducted at two ex-situ conservation facilities located in the state of Selangor, Peninsular Malaysia: Zoo Negara (the national zoo of Malaysia) and the Sungai Dusun Wildlife Conservation Center (SWDCC) (Figure 1). These facilities were chosen for their involvement in Malayan Tapir conservation efforts. Zoo Negara conducts the “Adopt an Animal” program and communication, education and public awareness (CEPA) programs that specifically focus on the Malayan Tapir. Meanwhile, the SDWCC conducts both in-situ and ex-situ conservation programs, including rehabilitation, breeding, rescue, translocation, and release initiatives aimed at protecting the Malayan Tapir population (Department of Wildlife and National Parks Peninsular Malaysia, 2021).

Figure 1.

Location of Zoo Negara and Sungai Dusun Wildlife Center in Selangor, Malaysia (Sources: Adapted from Maps of World 2024).

Zoo Negara is located in Ulu Klang, Kuala Lumpur (3°12’35"N 101°45’28"E) and five kilometers from the city of Kuala Lumpur. It was established in November 1963 and is currently home to five (5) Malayan Tapirs. The SDWCC is located within the Sungai Dusun Forest Reserve (SDFR), approximately 120 km north of Kuala Lumpur (3.4075° N, 101.2382° E) (Figure 1). Established in 1964, it is managed by the DWNP. The center is open to the public only during CEPA programs to minimize human-tapir interactions, thereby reducing disturbances once tapirs are reintroduced into the wild. There are no entrance or conservation fees for visitors.

Contingent Valuation Method

The Single Bound Contingent Valuation Method (CVM) was employed to estimate the WTP for Malayan Tapir conservation. CVM is the most prevalent and reliable approach for assessing non-use values, particularly the value of public goods (Mitchell & Carson, 1989). CVM seeks to gather information on individual preferences, demands, or WTP for hypothetical scenarios (Bateman & Langford, 1997). Given that the estimation of the economic value for the Malayan Tapir and other critically endangered species is still in its early stages, especially in Malaysia, the well-established CVM framework was therefore utilized (Ha & Triana, 2020).

The Single Bound CVM was chosen as it is less complicated and easier to understand. Moreover, the Single Bound CVM can minimize potential biases that could be present in the study due to the offered bid value. In comparison, the Double Bound CVM requires more non-payment items and open-ended questions in the second part, while the Single Bound CVM is only conducted in the first part after a hypothetical scenario is given (Jaunky et al., 2021). The conceptual framework is presented in Figure 2.

Figure 2.

The conceptual framework.

Model Specification

In this study, the Logit Regression Method was employed to examine the relationship between visitors’ knowledge, their attitudes toward Malayan Tapir conservation efforts, and their WTP. The logit regression analysis was performed using Stata 15 statistical software. From the literature, this model is useful when the response variable represents a choice between two categories (dichotomous choice), such as willingness (Yes = 1) or unwillingness (No = 0) to pay for Malaysia tapir conservation efforts (see Table 1). The model estimated the probability that a visitor would be willing to pay as a function of various explanatory variables, as follows:

\begin{array}{l} Logit (p_{i}) = & β_{0} + β_{1} {Bidprice}_{i} + β_{2} {Gender}_{i} + {β_{3}}_{Ag} e_{i} \\ + β_{4} {EducationLevel}_{i} + β_{5} {Income}_{i} \\ + β_{6} {Knowledge}_{i} + β_{7} {Attitude}_{i} \end{array}

(1)

Table 1.

Variables Used in the Analysis are Listed Below.

Independent Variables	Dependent Variable with 1 if a respondent is WTP, 0 otherwise
Bid price	Bid price levels set out in the CVM question (Dichotomous choice format) 2 / MYR 5 / MYR 7 / MYR 10 / MYR 15
Gender	Gender of respondent, 1 = Male, 0 = Female
Age	Age of respondent (in years)
Education level	Respondent education level (1 = No education; 2 = Primary; 3 = Secondary; 4 = Diploma / A-level / Matriculation / Equivalent; 5 = bachelor’s degree; 6 = master’s degree; 7 = PhD)
Income	Respondent monthly income (1 = Below MYR 2000 to 5 = Above MYR 6500)
Knowledge	The mean knowledge of respondents (Dichotomous choice, 1 = Yes; 0 = No)
Attitudes (att)	The mean attitudes of respondents (Likert scale, 1 = Strongly Disagree 5 = Strongly Agree)
ε	Random error

Sampling Design

In this study, unknown sampling formula was adopted to determine the sample size, as there was no primary data on the number of local visitors annually at Zoo Negara and SDWCC. According to Israel (1992), a sample size of 200 to 500 is recommended for conducting regression and descriptive analysis. Convenience sampling was employed to target respondents who were easier to reach.

Israel (1992) suggests that a 95% confidence level, a standard deviation of 0.5, and a margin of error of ±5% were considered appropriate. The parameters used to determine sample size are as outlined below:

n_{0} = \frac{z^{2} \times p (1 - p)}{e}

(2)

Where,

n₀ = Estimated sample size

z² = The selected critical value of the desired level of confidence or risk

p = The estimated proportion of an attribute present in the population or maximum variability of the population

e = Desired level of precision or margin of error

The desired values were inserted into the formula as follows:

\begin{matrix} n_{0} = {(1.96)}^{2} \times 0.5 (1 - 0.5) = 384.16 \\ {(0.05)}^{2} \end{matrix}

Based on the calculation, the sample size for this study was about 385 visitors from the infinite number of population size. However, the study was unable to achieve the target sample size and managed to gather data from only 379 respondents. Although this number fell short of the initially calculated sample size, according to Israel’s (1992) recommendations, 379 respondents are still sufficient for analysis.

Reliability and Validity

Before data collection, the questionnaire was validated by three experts from the fields of environmental and social sciences. The questionnaire was designed by including a rating scale ranging from 1 (Not relevant) to 4 (Very relevant) and a comment section. Several amendments were made to items in the sections on knowledge, attitude, and WTP to make the items understandable for the respondents. While this process ensured the questionnaire validation, a key limitation of the study reliance on only three experts. Although Lynn (1986) suggested three experts may be sufficient, recent studies recommend involving at least more than five experts to enhance reliability and reduce potential bias in the questionnaire validation process (Almanasreh et al., 2019; Rodrigues et al. 2017). Therefore, future research should consider incorporating a larger panel of experts to enhance overall validity.

To determine the bid value and assess the reliability of the questionnaire, a pilot study was performed with a smaller sample of 32 respondents. This pilot study was carried out at Zoo Negara on 11th and 12th May 2024. The survey was conducted face-to-face using printed copies. The reliability index focused on Section C, which included Likert scale items. The value from the reliability test Cronbach’s alpha reliability test was .823. The preferred Cronbach’s alpha value should be above .8 (Pallant, 2020). Therefore, the reliability of Section C was deemed good and acceptable.

Questionnaire Design

This study was conducted in person using hard-copy questionnaires, and targeted working adults aged 18 years and above. The questionnaire has four sections (see Table 2). The bid amounts were (MYR 2, MYR 5, MYR 7, MYR 10, and MYR 15) were determined based on the results of the pilot survey. Additionally, if they agreed to pay, they were given a list of options to select where they would like to channel their contribution. For respondents unwilling to pay for Tapir conservation efforts, a follow-up question was asked to understand their reasons, with multiple options provided for them to choose.

Table 2.

The Sections of Survey Questionnaires.

Sections	Total Items	Answer options
Screening question	1	Multiple choice
A: Socio-Demographic	8	Multiple choice
B: Visitor’s Knowledge Toward Malayan Tapir	10	Yes or No
C: Visitor’s Attitude Toward Supporting Malayan Tapir Conservation Initiatives	10	Likert scale (1: strongly disagree, 2: disagree, 3: neutral, 4: agree, 5: strongly agree)
D: Visitor’s Willingness to Pay for Tapir Conservation Efforts	5	Single Bound CVM Bid values: Set A: MYR 2; Set B: MYR 5; Set C: MYR 7; Set D: MYR 10; Set E: MYR 15

The items for visitors knowledge adapted from Lim et al. (2022), Department of Wildlife and National Parks Peninsular Malaysia (2021), Magintan et al. (2021) and Donny et al. (2022). Visitors attitude toward supporting conservation initiatives items were adapted from Nordin et al. (2023) and Li and Matthew (2021), with modifications to fit the Malayan Tapir context.

The questionnaire was divided into four sections as in Table 2:

A scenario was developed (see Table 3) for Section D (Single Bound CVM) as follows:

Table 3.

A Sample of Section D of the Questionnaire.

SECTION D: VISITOR’S WILLINGNESS TO PAY FOR TAPIR CONSERVATION
Scenario:
Imagine standing in the heart of the rainforest, surrounded by the sounds of nature. You find yourself in the presence of a Malayan tapir, one of the last remaining individuals of its kind. As you observe this solitary creature, you can’t help but feel a sense of urgency. The Malayan tapir population is dwindling, with estimates ranging from 1,000 to 1,500 individuals. Without immediate action, they could disappear forever.
The proposed tapir conservation funds will support essential conservation efforts such as habitat restoration, breeding programs, planting tapir diet plants, public outreach programs and research initiatives aimed at understanding and protecting these endangered animals.
Hence, the aim of this study is to assess visitors’ willingness to pay for tapir conservation. The purpose of asking for WTP is not for money collection, but to understand the value you allocate for tapir conservation.
Based on the scenario above, please fill in your willingness to pay for Tapir Conservation.
Are you willing to pay for Malayan Tapir conservation?
□ Yes {Go to Question 2}
□ No {Go to Question 5}
Are you willing to pay RM 2 for tapir conservation per visit to the wildlife center?
□ Yes
□ No

The questions were designed to assess respondents’ knowledge of the Malayan Tapir and their understanding of current tapir conservation efforts, in order to accurately estimate their WTP. Data collection at Zoo Negara was conducted during weekends and public holidays, while at the SDWCC, it took place during the CEPA programs from May to June 2024.

Ethics and Informed Consent Statement

This study was conducted in accordance with the ethical principles outlined in the APA Ethical Principles of Psychologists and Code of Conduct (Section 8.05). All participants voluntarily completed an anonymous questionnaire after being informed of the study’s purpose, confidentiality of responses, and their right to withdraw at any time. Informed consent was implied through completion of the questionnaire.

Data Analysis

The data obtained from the survey questionnaire were analyzed using descriptive statistical methods, including frequency, mean, mode, and score levels, with IBM SPSS Statistics version 29. A logit regression analysis was conducted to identify the variables influencing WTP and to determine the WTP value using STATA software version 15.

Results and Discussion

Descriptive Statistics Results

Socio-demographic

A total of 379 questionnaires were distributed among the visitors at both wildlife centers, and all were returned on the same day. After filtering out incomplete and incorrectly answered questionnaires based on the screening question, 358 valid responses were retained for analysis, resulting in an effective response rate of 94.46%.

The results of the survey showed that there were 167 (46.6%) male respondents and 191 (53.4%) female respondents. Table 4 displays the socio-demographic characteristics of the visitors who participated in the survey. The age distribution of the respondents was divided into five groups. Based on Table 4, 131 (36.6%) respondents were aged between 20 and 29 years, and 130 (36.3%) respondents were aged between 30 and 39 years. These groups of respondents were parents with younger children, who preferred to bring their children to the wildlife center to entertain them (Shackley, 1996; Young, 2016). Slightly more than half of the respondents were married, and 151 (42.1%) were single. The marital status of the respondents was consistent with Shackley’s (1996) finding.

Table 4.

Socio-demographics of the Respondents (n = 358).

Item	Frequency	Percentage
Gender
Male	167	46.6
Female	191	53.4
Age (years)
20–29	131	36.6
30–39	130	36.3
40–49	57	15.9
50–59	27	7.5
60 and above	13	3.6
Marital status
Single	151	42.1
Married	200	55.9
Others	7	2.0
Education level
No formal education	0	0
Primary school	0	0
Secondary school	44	12.3
Diploma/ Matriculation / A-Level	80	22.3
Bachelor’s degree	188	52.5
Master’s degree	39	10.9
PhD	7	2.0
Employment
Self-employed	37	10.3
Government	77	21.5
Private	200	55.8
Others	44	12.3
Individual monthly income
Below RM2000	65	18.2
RM2001–RM3500	98	27.4
RM3501–RM5000	97	27.1
RM5001–RM6500	49	13.7
Above RM6500	49	13.7
State
Perlis	0	0
Kedah	4	1.1
Penang	1	0.3
Perak	16	4.5
Selangor	231	64.5
Negeri Sembilan	9	2.5
Malacca	8	2.2
Pahang	4	1.1
Terengganu	12	3.4
Kelantan	4	1.1
Johor	23	6.4
Sabah	0	0
Sarawak	1	0.3
Kuala Lumpur	45	12.6
Visited wildlife center
Zoo Negara	232	64.8
Sungai Dusun Wildlife Conservation Center	126	35.2

Regarding education levels, 44 (12.3%) of respondents had completed their education below secondary school. Additionally, 80 (22.3%) respondents had completed either A-levels, a Diploma, or matriculation. The majority of respondents were found to be highly educated, with 188 (52.0%) holding a bachelor’s degree, 39 (10.9%) holding a master’s degree, and 7 (2.0%) having a doctorate. A study conducted by Kiplagat et al. (2022) showed that 68.3% of the green space visitors had tertiary education. Furthermore, the respondents in this study were primarily working adults. The data indicated that 200 (55.8%) were employed in the private sector, 77 (21.5%) were government employees and 37 (10.3%) were self-employed. Regarding monthly income, 98 (27.4%) respondents reported an income ranging from RM 2000 to RM 3500, followed by 97 (27.1%) respondents with an income ranging from RM 3500 to RM 5000. Additionally, 49 (13.7%) respondents each fell into the categories of RM 5001 to RM 6500 and more than RM 6500. Finally, 65 (18.2%) of respondents, earned below RM 2000.

The majority of visitors surveyed were from Selangor (n = 231, 64.5%) and Kuala Lumpur (n = 45,12.6%). The survey was administered on weekends and public holidays, resulting in a smaller proportion of respondents from other states: Johor (n = 23, 6.4%), Perak (n = 16, 4.5%), Terengganu (n = 12, 3.4% ), Negeri Sembilan (n = 9, 2.5%), and Malacca (n = 8, 2.2%). Additionally, Kedah, Pahang, and Kelantan each contributed (n = 4, 1.1%) of the respondents. There was also one respondent each from Penang and Sarawak. The number of respondents who visited Zoo Negara was higher (n = 232, 64.8%) compared to those who visited the SDWCC (n = 126, 35.2%,). This discrepancy can be attributed to the fact that the SDWCC is generally closed to the public for general visits, as it only accepts visitors during CEPA programs.

Knowledge of the Malayan Tapir

The findings indicate that 90.2% of respondents knew that four species of tapirs exist worldwide (Table 5). These species include the Malayan Tapir in Asia, Baird’s Tapir (Tapirus bairdii) in Central America, and the Lowland Tapir (Tapirus terrestris) and Mountain Tapir (Tapirus pinchaque) that inhabit various regions of South America (Brooks et al., 1997).

Table 5.

Respondents’ Knowledge of the Malayan Tapir.

Item	Frequency (%)
Item	Yes	No
The Malayan Tapir is one of four types of tapirs found worldwide.	323 (90.2)	35 (9.8)
Tapirs are able to swim.	276 (77.1)	82 (22.9)
Malayan tapirs, aged between 0 to 3 months have stripes on their bodies.	298 (83.2)	60 (16.8)
The Malayan Tapir is native to Southeast Asia from Myanmar and Thailand through Peninsular Malaysia to Sumatra.	338 (94.4)	20 (5.6)
Tapirs are active during the night.	291 (81.3)	67 (18.7)
Roadkill contributes to the decline in Malayan Tapir populations.	296 (82.7)	62 (17.3)
Forest fragmentation is one of the threats to the survival of the Malayan Tapir population in Peninsular Malaysia.	345 (96.4)	13 (3.6)
The Malayan Tapir is classified as endangered by IUCN Red List	341 (95.3)	17 (4.7)
The Malayan Tapir faces significant conservation challenges.	336 (93.9)	22 (6.1)
Slow down the vehicle’s speed when approaching signs that indicate tapir crossings.	353 (98.6)	5 (1.4)

The majority of the respondents (96.4%) stated that forest fragmentation poses a major threat to the survival of the Malayan Tapir population in Peninsular Malaysia. The Malayan Tapir is at an elevated risk of population decline and potential extinction due to severe habitat loss and fragmentation (Magintan et al., 2012; Department of Wildlife and National Parks Peninsular Malaysia, 2021). Forest fragmentation and habitat loss pose significant threats not only to tapirs, but also to other wildlife species such as tigers. This study’s findings align with those of Rusdi et al. (2022) and Ten et al. (2021), who identified habitat loss as a threat to the Malayan Tiger. This study’s respondents as well as those from Rusdi et al. (2022) demonstrated a similar level of knowledge, with a score of 96%.

Additionally, 93.9% of respondents knew that Malayan Tapirs face substantial conservation challenges, and 95.3% understand that they are classified as endangered by the International Union for Conservation of Nature (IUCN). This aligns with a notable decline exceeding 50% of tapir population over the last 36 years (Department of Wildlife and National Parks Peninsular Malaysia, 2021). These findings indicate a strong knowledge level among respondents regarding the conservation status of the Malayan Tapir. However, the respondents exhibited comparatively lower knowledge of specific characteristics and behaviors of the Malayan Tapir. Notably, only 77.1% of respondents were aware that tapirs are capable swimmers, and 81.3% recognized that the species is primarily nocturnal.

Referring to Table 6, which showed the respondents’ knowledge level of the Malayan Tapir, it is evident that the respondents possessed a high level of knowledge about the species, as indicated by the mean score of 8.93 out of 10.

Table 6.

Respondents’ Knowledge Level of the Malayan Tapir.

Item	Mean	Mode	Std. Deviation	Minimum	Maximum
Knowledge	8.93	10	1.134	5	10

Attitude Toward Malayan Tapir Conservation Efforts

The respondents’ response to the attitude section is summarized in Table 7. The results indicate that the highest mean score, 4.65, was associated with supporting government efforts to establish a Tapir Conservation Center for the rehabilitation of tapirs. The studies by Nordin et al. (2023) and Kaffashi et al. (2015) support the establishment of conservation centers for protecting wildlife and preventing extinction. Conversely, the lowest mean score was 3.89 for reading news related to Malayan Tapir, followed closely by a mean score of 3.97 for willingness to donate to Malayan Tapir conservation efforts. Notably, the item “Protecting the species is important to me” received a relatively high mean score of 4.34. In addition, regarding participation in the awareness program, only 33.8% strongly agreed and 38.5% agreed with this item. However, Nordin et al. (2023) reported contrasting results, with 75% of respondents strongly agreeing and 25% agreeing to participate in such programs. Wang et al. (2020) highlighted the importance of public participation in wildlife conservation and awareness programs for protecting wildlife. The respondents indicated with a score of 4.61 that the designation of forests where Malayan Tapirs are sighted as totally protected areas is an effective strategy for ensuring the maintenance and conservation of Malayan Tapir populations. Additionally, the majority of respondents exhibited a Level 3 positive attitude, which indicates that a significant proportion of respondents were neutral or expressed agreement and strong agreement toward the 10 items.

Table 7.

Attitude Toward Malayan Tapir Conservation Efforts.

Item	1 (%)	2 (%)	3 (%)	4 (%)	5 (%)	Mean	Level
I support the government’s efforts to establish a Tapir Conservation Center to rehabilitate of tapirs.	0.6	0	4.7	23.7	70.9	4.65	3
I am willing to donate my money for Malayan Tapirs’ conservation initiatives.	0.6	3.1	25.1	40.8	30.4	3.97	3
I enjoy reading news that pertains to Malayan Tapirs.	0.8	4.2	29.6	36.0	29.3	3.89	3
Protecting the endangered Malayan Tapir is important to me.	0.6	0.8	10.1	40.8	47.8	4.34	3
I would like to take part in a public awareness program on the Malayan Tapir.	1.7	1.4	24.6	38.5	33.8	4.01	3
If I come across a tapir wandering, I will promptly report it to the authorities.	0.6	2.5	16.5	34.9	45.5	4.22	3
Conserving the Malayan tapir should be given priority, as it is essential to maintain ecological balance.	0.6	1.4	7.3	39.4	51.4	4.40	3
When I see a signboard of tapir crossings, I make sure to reduce my vehicle’s speed.	0.3	0	5.3	32.1	62.3	4.56	3
Educating the younger generation about Malayan Tapir conservation is important.	0.3	0	5.3	31.6	62.8	4.57	3
In my opinion, designating forests (where Malayan Tapirs are sighted) as totally protected areas is a way to ensure the Malayan Tapir populations can be maintained.	0	0.3	5.6	27.4	66.8	4.61	3

In a 5-point Likert scale, the calculation of statistical categories is determined by the formula: (Highest value – lowest value)/Number of categories, resulting in (5–1)/4 = 1.333. Consequently, the level is delineated as follows: Low (1) = 1.00–2.33, Medium (2) = 2.34–3.67, and High (3) = 3.68–5.00.

Analysis of the Factors That Influence Wildlife Center Visitors’ Willingness to Pay

Visitors’ Willingness to Pay

Figure 3 presents the distribution of responses to the valuation question in Section D, indicating respondents’ WTP for Malayan Tapir conservation efforts at varying bid levels, ranging from RM 2 to RM 15 per visit to the wildlife center. Specifically, 19.83% (n = 71) of respondents agreed to the RM2 bid, 20.39% (n = 73) to the RM5 bid, 18.99% (n = 68) to the RM7 bid, 19.83% (n = 71) to the RM10 bid, and 20.95% (n = 75) to the RM15 bid. The distribution shows a relatively uniform pattern across bid values, suggesting minimal variation in the number of respondents per bid value. However, it is notable that the frequency of WTP responses does not uniformly increase with higher bid amounts. Contrary to the findings of Stanley (2005), this study indicated that responses to WTP are uniformly distributed across bid values rather than declining as bid values increase.

Figure 3.

Visitors’ frequency distribution for willingness to pay.

As shown in Figure 3, 55 respondents indicated their unwillingness to pay for Malayan Tapirs conservation efforts. The survey questionnaire also included a question on the potential reasons, and the results are presented in Figure 4. Based on this, 34.55% of the respondents stated financial constraints as the primary reason for their unwillingness to pay, 27.27% expressed doubts about the effective use of funds, while 14.55% felt that additional government funding was not required. Similarly, 14.55% believed that non-governmental organizations did not require additional funds for Malayan Tapir conservation efforts. A smaller percentage (7.27%) stated that supporting Malayan Tapir conservation was not their responsibility.

Figure 4.

Reasons for unwillingness to pay for Malayan Tapir conservation efforts.

Factors that Influence the Visitor’s Willingness to Pay for Malayan Tapir Conservation

This study estimated the variables that influence respondents to decide for WTP for Malayan Tapir conservation. The results of the logit regression for visitor’s WTP were presented in Table 8. The explanatory variables used in the model included age Bid (p = .024) (age (p = .030) and attitude (p = .000), were significant at both 5% and 1% level in influencing WTP. The Pseudo R² value of .0906 is significant (Prob > χ² = .0005), indicating that the seven explanatory variables account for 9.06% of the variation in the dependent variable. Compared to Ha and Triana’s (2020) study, which had a Pseudo R² of 45.98% (0.4598), this study’s R² is lower. However, according to Sulistiyono et al. (2023), an R² value between 0 and 1 is acceptable for representing the model.

Table 8.

Logit Regression Analysis.

Variable	Coef.	Std. error	p Value
Cons	−0.109	0.019	.322
Gender	−0.004	0.172	.982
Age	−0.019	0.009	.030**
Education	0.100	0.102	.324
Income	−0.023	0.076	.767
Knowledge	0.014	0.076	.852
Attitude	0.060	0.016	<.001***
Bid	−0.043	0.019	.024**
R ²	.091

, **, and *** show statistically significant at 10%, 5%, and 1%, respectively.

This study shows that respondents demonstrated a reasonable level of knowledge and positive attitudes toward Malayan tapir conservation based on descriptive statistics. However, logit regression analysis showed that knowledge was not a significant factor of WTP (p = .852), suggesting that knowledge alone does not necessarily translate into financial support. The respondents’ attitudes are statistically significant at the 1% level, reflecting a very strong positive attitude toward Malayan Tapir conservation. This showed that respondents with a more positive attitude are more likely to support conservation efforts of Malayan Tapir. There were several studies that revealed that individuals who hold positive attitudes toward wildlife including brown bear (Liordos et al., 2017), leopard (Dhungana et al., 2022) and tiger (Mukhacheva et al., 2022) exhibited good support and a WTP for the species conservation. Visitors to the wildlife centers, who are generally nature enthusiasts, demonstrate a commitment to preserving the species. This is evidenced by their WTP for conservation, supporting the overall objective of the study. Numerous studies support the conclusion that respondents’ attitude levels are positively correlated with their willingness to contribute to species conservation (Palanca-Tan, 2020; Shuib et al., 2015).

Estimation of WTP

The estimation of visitor’s WTP for tapir conservation follows equation (3) by Cameron (1988).

WTP = \frac{β_{0} + \sum_{i - 2}^{n} β_{i} X}{- β_{1}}

(3)

where β₀ = estimated constant; β_i = coefficient for the respondent’s socio-economic status; and β₁ = coefficient for the offered bids. Thus, the value for mean WTP is estimated using the above equation. MYR8.30 per person/per visit for logit model of this study.

The bid values presented in the survey (MYR 2, MYR 5, MYR 7, MYR 10, and MYR 15) were the specific amounts that respondents were directly asked about, with answers recorded as “willing” or “not willing” to pay. These raw values capture respondents’ immediate choices at each bid level. In contrast, the estimated mean WTP of MYR 8.30 (USD 2) was not taken directly from these bid amounts and respondents’ socio-economic status. It was derived using the single-bounded contingent valuation method, in which a logit regression was applied to model the probability of a “yes” response across all bid levels. This approach generates a statistically reliable mean WTP by accounting for variation in responses and thus provides a more robust measure for informing conservation policy.

Several studies have been conducted to estimate the WTP for wildlife conservation in Malaysia. These studies captured widespread interest among people regarding natural resources, both for their direct use and their indirect value. It highlighted varying levels of WTP for wildlife conservation among respondents, leading to diverse findings (see Table 9). These findings also shed light on public knowledge and attitudes toward conservation efforts.

Table 9.

Differences of WTP for wildlife species conservation in Malaysia.

Wildlife	WTP (USD)	Condition	Source
Malayan Tapir	2	per person per visit	Current study
Malayan Tiger	−2.43	Per person per year	Rusdi et al. (2022)
Giant Panda (non-native)	8.90	Per person per visit	Shuib et al. (2015)
Asian Elephant	1.10 (non-peak season)	Per person per visit	Nordin et al. (2023)
Asian Elephant	1.70 (peak season)	Per person per visit	Nordin et al. (2023)

Referring to Table 9, this study showed lower WTP for the Malayan Tapir compared to the Malayan Tiger, but higher than that for the Asian Elephant. The WTP value of USD 2 per visit for the Malayan Tapir is modest when compared with other species in Malaysia. The Giant Panda recorded the highest WTP at USD 8.90 per visit (Shuib et al., 2015), reflecting its strong cultural symbolism and international visibility, while the Malayan Tiger showed USD 2.43 per year (Rusdi et al., 2022), benefiting from its status as a national icon. The Asian Elephant, with values ranging from USD 1.10–1.70 per visit and RM 4.65–7.09 depending on season (Nordin et al., 2023) showed how socio-demographic variables, together with positive attitudes and perceptions toward conservation, significantly increase WTP, reflecting awareness of its ecological. In contrast, the tapir, though ecologically important, lacks similar cultural and emotional resonance, which may explain its lower valuation. This highlights the need for more effective conservation communication and public engagement strategies to raise awareness and strengthen support for Malayan Tapir conservation.

Study Limitations

This study using CVM relied on responses from visitors to the Malayan Tapir Conservation Center and focused primarily on local visitors. One limitation is the potential sampling bias toward individuals who may possess a higher-than-average interest in wildlife conservation. Such conservation minded individuals may lead to an overestimation of WTP compared to the general public. The second limitation is WTP estimates are based on self-reported responses from a CVM which is inherently subjective and subject to hypothetical bias as what respondents say they are willing to pay may not fully align with their actual behavior. Third, the reliance on convenience sampling limits the representativeness of the results, as it does not ensure that all segments of the population have an equal chance of being included. In addition, this study did not incorporate interaction effects between explanatory variables, such as age, education and income which may jointly influence WTP. Future studies should use more robust sampling, include the general public, apply mixed methods and explore interaction effects to better understand how demographic and perceptual factors shape conservation support.

Conclusion

This study revealed that the respondents provided positive feedback toward the conservation of the Malayan Tapir. They demonstrated positive attitudes toward the species and its conservation initiatives. The findings further showed that attitude and age were significant factors influencing the WTP for Malayan Tapir conservation. The finding indicated that Malaysian highly value Malayan Tapir and its conservation, which is important for developing effective conservation management strategies.

Malayan Tapirs in Southeast Asia are increasingly threatened by deforestation, agriculture and urban expansion, which have caused extensive habitat loss and fragmentation (Jamhuri et al., 2018). The species is largely confined to small, isolated habitat patches (Jamhuri et al., 2020). In Peninsular Malaysia, these habitats include selectively logged forests and peat swamp forests (Jamhuri et al., 2018), whereas in Selangor, tapirs are restricted to highly fragmented urban forest remnants. Forest fragmentation not only limits habitat but also increases mortality risks. According to Magintan et al., (2021), between 2006 and 2019, 115 tapir roadkill incidents were documented in Peninsular Malaysia. In addition, human-tapir conflicts and roadkill cases showing an upward trend from 2011 to 2021 (Lim et al., 2022). Tapirs living near fragmented landscapes, particularly those bordering palm oil plantations, experience higher roadkill rates compared to populations in larger, continuous forests (Jamhuri et al., 2020). These findings highlight the species’ vulnerability in fragmented habitats and emphasize the urgent need to enhance habitat connectivity to secure the long-term survival of the Malayan Tapir.

Various wildlife management actions such as translocation, rehabilitation, release, wildlife crossing structures, tapir crossing signage, wildlife deterrent fencing and replanting tapir food plants have been implemented (Lim et al., 2022). DWNP has identified 94 tapir crossing hotspots across Malaysia, yet fewer than half are currently marked with Tapir Crossing Signage (TCS). Increasing the number of TCS at these sites is a key measure to heighten motorists’ awareness and mitigate roadkill incidents involving tapirs. In partnership with the Malaysian Palm Oil Group (MPOG), DWNP has installed an additional 310 TCS units at hotspots considered high-risk for wildlife–vehicle collisions (Lim et al., 2022). This initiative forms part of DWNP’s broader tapir conservation strategy, which integrates roadkill prevention with habitat connectivity enhancement to support the long-term survival of the species in increasingly fragmented landscapes. In this study, the WTP estimation is USD2 (MYR 8.30) per person per visit. Imposing conservation fee is important for the in-situ and ex-situ conservation initiatives, as well as CEPA programs and research on Malayan Tapir (Lim et al., 2022).

Furthermore, public engagement in tapir conservation can be enhanced through proactive initiatives by DWNP and Zoo Negara. By increasing awareness and understanding of tapir conservation and its importance, public participation and support for related activities are likely to improve. Our study showed that individuals with a positive attitude toward tapir conservation are more inclined to take part in conservation initiatives. To encourage this, DWNP and Zoo Negara could implement targeted campaigns through multiple platforms, including social media, exhibitions, public talks and CEPA programs, to inform and motivate the public to join conservation efforts. In addition, integrating wildlife conservation topics into the formal education curriculum at both primary and secondary levels can expose younger generations to these issues earlier, fostering awareness from an early age. Over time, such educational reforms can strengthen public understanding of tapir conservation and potentially increase willingness to financially support conservation initiative.

In conclusion, this study highlights the key role of public engagement in supporting wildlife protection, particularly the Malayan Tapir, even if it is through an ex-situ conservation approach. Our findings on public knowledge and attitudes toward Malayan tapir conservation can guide DWNP, Zoo Negara and NGOs in designing educational programs for public. In addition, the key findings on factors that influence visitors WTP for conservation initiative can assist in determining appropriate conservation fee for zoos in this region. Encouraging public participation and providing correct information are essential steps toward fostering awareness, support, and coexistence between humans and the Malayan Tapir.

Footnotes

Appendix

Appendix.

Summary of Existing Literature on WTP for Wildlife.

Researcher	Country	Animal	Method of study	Factors	WTP (per animal)	Remarks
Nordin et al. (2023)	Malaysia	Elephant	CVM (Open-Ended)	Gender, Age, Education, Occupation, Income, Attitude, Perception	Non-peak season 1.09 USD /person/visit Peak season 1.66 USD person/visit	Respondents indicated their maximum WTP providing a direct measure of support for elephant conservation.
Rusdi et al. (2022)	Malaysia	Tiger	CVM (Payment Card)	Gender, Age, Educational level, Income, level of knowledge, perception	1.17 USD – 2.40 USD per person per year	Respondents selected their WTP from a card listing monetary amounts and providing a range-based estimate of support for tiger conservation in Terengganu.
Tseng et al. (2021)	Taiwan	Pangolin	CVM (Bidding Value)	Knowledge, Conservation Preferences, Gender, Age, Education level, Occupation, Childhood Residence, and Income	8.06 USD for pangolin-friendly rice, 11.46 USD for pangolin-friendly tea and 25.81 USD for pangolin-friendly coffee	Respondent was shown one specific bid price for a pangolin-friendly product (rice, tea, or coffee) and asked “Yes” or “No” if they would pay that amount.
Bhattarai et al. (2021)	Nepal	Tiger	CVM (Bidding Value)	Age, Gender, Household size, Income, Participation in package tour, International travel cost, Environmental affiliation	59.05 USD per visit	Respondents were each given with one specific bid amount and asked a Yes/No question about their willingness to pay for tiger conservation
Jaunky et al. (2021)	Mauritius	Mauritian flying fox	CVM (Double-Hurdle Model)	Age, Gender, Education level, Residential area, Monthly income level, marital status, NEP scale, Perceived ability to contribute (reverse), Knowledge, Aesthetic and Negativistic attributes	0.79 USD	Assessing respondents’ willingness to contribute to a Mauritian flying fox conservation fund (yes/no) and subsequently modeling the contribution amount among those willing to pay.
Wang et al. (2018)	China	African elephant	CVM (Open-Ended & payment card, Single-Bounded Dichotomous Choice)	Gender, Age, Occupation, Collection, Education, Income, Household, Payment vehicle, Ivory trade, Region	12.59 USD and 23.88 USDper year per household	Conducted an online survey distributed to netizens using four different questionnaire versions to cover the open-ended, payment card, and single-bounded dichotomous choice formats.
Kaffashi et al. (2015)	Malaysia	Elephant	CVM (Double Bounded)	Perception, Satisfaction, Gender, Age, Citizenship, Education level, Marital status, Employment, Average annual visit, Group tours visit.	Domestic visitors = 1.20 USD and International visitors = USD 2.40	Respondents were presented with an initial entrance fee bid, followed by a higher bid if accepted or a lower bid if declined.
Shuib et al. (2015)	Malaysia	Giant Panda	CVM (Single – Bounded)	Age, Gender, Education, Income, Occupation, repeat visit, perception, frequency of visit	USD 8.77 per person per visit	Respondent is presented with one specific bid amount (e.g., “Would you pay RM 30 to support panda conservation?”) and asked to answer “Yes” or “No
Vincenot et al. (2015)	Japan	Ryukyu flying fox	CVM (Double-Bounded, Linear bids	Gender, Age, Experience, Income, Household size, Awareness, Opinion conservation measures, Opinion crop protection measure	USD 2.03 per household per year	Respondents provided with an initial bid, followed by a higher or lower bid based on their first response, with fixed-increment adjustments to refine WTP estimation.
Bandara and Tisdell (2005)	Sri Lanka	Elephant	CVM (Bidding value)	Age, Awareness, Pro-conservation perception, Income, Years of Schooling, Non-consumptive	USD 1.26 per month	Respondents were presented with a specific bid amount and asking whether they would pay that amount (yes/no); based on their response, a higher or lower follow-up bid was offered to refine the estimate of their maximum willingness to pay.
White et al. (1997)	Britain	Otter Water Vole	CVM (Bidding value)	Gender, Age, Income, Species, knowledge, behavior, and attitude	Otter - USD 15.82 Water Vole – USD 9.88	Respondents first answered “yes” or “no” to a stated bid, and a follow-up bid was offered, higher if they answered “yes” and lower if they answered “no” to refine their maximum WTP

Acknowledgements

The authors would like to thank to the three validators for their assistance in validating the questionnaire for this research. A special thanks to Education Department of Zoo Negara, the Department of Wildlife and National Parks, and the Sungai Dusun Wildlife Conservation Center for their approval to conduct the research.

ORCID iD

Nitanan Koshy Matthew

Ethical Considerations

This study was conducted in accordance with the ethical principles outlined in the APA Ethical Principles of Psychologists and Code of Conduct (Section 8.05).

Consent to Participate Statements

Informed consent was obtained from all participants prior to their inclusion in the survey. Participants were provided with information about the study’s purpose, procedures, and their rights, including the option to withdraw at any time.

Funding

The authors received no financial support for the research, authorship, and/or publication of this article.

Declaration of Conflicting Interests

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Data Availability Statement

Data available on request due to privacy/ethical restrictions.

References

Almanasreh

Moles

Chen

T. F.

(2019). Evaluation of methods used for estimating content validity. Research in Social and Administrative Pharmacy, 15(2), 214–221. https://doi.org/10.1016/j.sapharm.2018.03.066

Arbieu

Albrecht

Mehring

Bunnefeld

Reinhardt

Mueller

(2020). The positive experience of encountering wolves in the wild. Conservation Science and Practice, 2(5), e184. https://doi.org/10.1111/csp2.184

Bandara

Tisdell

(2005). The history and value of the elephant in Sri Lankan society (Working Paper No. 133). Economics, Ecology and Environment. The Univerity of Queensland.

Bateman

I. J.

Langford

I. H.

(1997). Non-users’ willingness to pay for a National Park: An application and critique of the contingent valuation method. Regional Studies, 31(6), 571–582. https://doi.org/10.1080/00343409750131703

Bhattarai

B. R.

Morgan

Wright

(2021). Equitable sharing of benefits from tiger conservation: Beneficiaries’ willingness to pay to offset the costs of tiger conservation. Journal of Environmental Management, 284, 112018. https://doi.org/10.1016/j.jenvman.2021.112018

Brooks

D. M.

Bodmer

R. E.

Matola

(Eds.). (1996). Tapirs: Status survey and conservation action plan. International Union for Conservation of Nature and Natural Resources (IUCN).

Cameron

T. A.

(1988). A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression. Journal of Environmental Economics and Management, 15(3), 355–379. https://doi.org/10.1016/0095-0696(88)90008-3

Castillo-Huitrón

N. M.

Naranjo

E. J.

Santos-Fita

Estrada-Lugo

(2020). The importance of human emotions for wildlife conservation. Frontiers in Psychology, 11, 1277. https://doi.org/10.3389/fpsyg.2020.01277

Department of Wildlife and National Parks Peninsular Malaysia. (2021). Malayan Tapir conservation action plan 2021–2030.

10.

Dhungana

Maraseni

Silwal

Aryal

Karki

J. B.

(2022). What determines attitude of local people towards tiger and leopard in Nepal? Journal for Nature Conservation, 68, 126223. https://doi.org/10.1016/j.jnc.2022.126223

11.

Donny

Magintan

Enos

Rahmat

Abdul-Kadir

A. H.

(2022). Retrospective review on captive breeding of Malayan tapir in Sungai Dusun Wildlife Conservation Center, Peninsular Malaysia from 2004 to 2020. Journal of Wildlife and Parks, 37, 1–13.

12.

Frick

Kaiser

F. G.

Wilson

(2004). Environmental knowledge and conservation behavior: Exploring prevalence and structure in a representative sample. Personality and Individual Differences, 37(8), 1597–1613. https://doi.org/10.1016/j.paid.2004.02.015

13.

T. T. T.

Triana

(2020). Economic value assesment of the Sumatran tiger: An application of contingent valuation method in Gunung Leuser National Park, Indonesia. Journal of Forestry Science and Technology, 10, 138–148. https://journal.vnuf.edu.vn/en/article/view/595

14.

Israel

G. D.

(1992). Sampling the evidence of extension program impact. University of Florida Cooperative Extension Service, Institute of Food and Agriculture Sciences, EDIS.

15.

Jakabsson

K. M.

Andrew

K. D.

(1996). Contingent valuation and endangered species: Methodological issues and applications. Edward Elgar Publishing Limited.

16.

Jamhuri

Samantha

L. D.

Tee

S. L.

Kamarudin

Ashton-Butt

Zubaid

Lechner

A. M.

Azhar

(2018). Selective logging causes the decline of large-sized mammals including those in unlogged patches surrounded by logged and agricultural areas. Biological Conservation, 227, 40–47. https://doi.org/10.1016/j.biocon.2018.09.004

17.

Jamhuri

Edinoor

M. A.

Kamarudin

Lechner

A. M.

Ashton-Butt

Azhar

(2020). Higher mortality rates for large-and medium-sized mammals on plantation roads compared to highways in Peninsular Malaysia. Ecology and Evolution, 10(21), 12049–12058.

18.

Jaunky

V. C.

Jeetoo

Thomas

J. M.

(2021). Willingness to pay for the conservation of the Mauritian flying fox. Global Ecology and Conservation, 26, e01504. https://doi.org/10.1016/j.gecco.2021.e01504

19.

Kaffashi

Yacob

M. R.

Clark

M. S.

Radam

Mamat

M. F.

(2015). Exploring visitors’ willingness to pay to generate revenues for managing the National Elephant Conservation Center in Malaysia. Forest Policy and Economics, 56, 9–19. https://doi.org/10.1016/j.forpol.2015.03.004

20.

Kiplagat

A. K.

Koech

J. K.

Ng’etich

J. K.

Lagat

M. J.

Khazenzi

J. A.

Odhiambo

K. O.

(2022). Urban green space characteristics, visitation patterns and influence of visitors’ socio-economic attributes on visitation in Kisumu City and Eldoret Municipality, Kenya. Trees, Forests and People, 7, 100175. https://doi.org/10.1016/j.tfp.2021.100175

21.

Lechner

A. M.

Jamhuri

Tee

S. L.

Kamarudin

Ashton-Butt

Zubaid

Azhar

(2017). Assessing habitat requirements of Asian tapir (Tapirus indicus) in forestry landscapes of Peninsular Malaysia. Forest Ecology and Management, 391, 250–258. https://doi.org/10.1016/j.foreco.2017.02.045

22.

Matthew

N. K.

(2022) Local visitors’ willingness to pay for conservation fee at Kampung Kuantan Firefly Park, Kuala Selangor, Malaysia. Journal of Tropical Forest Science, 34(2), 187–198.

23.

Lim

E. A. L.

Puan

C. L.

Hiew

M. W. H.

Mohd Sanusi

Magintan

Yawah

(Eds.). (2022). Conservation of Malayan Tapir (Tapirus indicus): A Joint Effort Among Southeast Asian Countries. Universiti Putra Malaysia.

24.

Liordos

Kontsiotis

V. J.

Anastasiadou

Karavasias

(2017). Effects of attitudes and demography on public support for endangered species conservation. Science of The Total Environment, 595, 25–34. https://doi.org/10.1016/j.scitotenv.2017.03.241

25.

Lynn

M. R.

(1986). Determination and quantification of content validity. Nursing Research, 35(6), 382–386.

26.

Magintan

Abdul Rahman

Jiliun

Adib

Abd Aziz

A. H.

Mohd Suri

M. S.

Ismail

M. N.

Abu Hashim

A. K.

(2021). Malayan tapir roadkill in Peninsular Malaysia from 2006 to 2019. Journal of Wildlife and Parks, 36, 1–19.

27.

Magintan

Traeholt

Karuppanannan

K. V.

(2012). Displacement of the Malayan Tapir (Tapirus indicus) in Peninsular Malaysia from 2006 To 2010. Tapir Conservation, 21(29), 13–17.

28.

Mitchell

R. C.

Carson

R. T.

(1989). Using surveys to value public goods: The contingent valuation method. RFF Press. https://doi.org/10.4324/9781315060569

29.

Mukhacheva

A. S.

Bragina

E. V.

Miquelle

D. G.

Kretser

H. E.

Derugina

V. V.

(2022). Local attitudes toward Amur tiger (Panthera tigris altaica) conservation in the Russian Far East. Conservation and Society, 20(4), 304–312. https://doi.org/10.4103/cs.cs_20_135

30.

Nordin

J. S.

Matthew

N. K.

Puan

C. L.

(2023). Public willingness to pay for an entrance fee to National Elephant Conservation Center (NECC), Peninsular Malaysia. Sage Open, 13(4), 21582440231202130. https://doi.org/10.1177/21582440231202127

31.

O’Farrill

Galetti

Campos-Arceiz

(2013). Frugivory and seed dispersal by tapirs: An insight on their ecological role. Integrative Zoology, 8(1), 4–17. https://doi.org/10.1111/j.1749-4877.2012.00316.x

32.

Ostermann-Miyashita

König

H. J.

Pernat

Bellingrath-Kimura

S. D.

Hibler

Kiffner

(2022). Knowledge of returning wildlife species and willingness to participate in citizen science projects among wildlife park visitors in Germany. People and Nature, 4(5), 1201–1215. https://doi.org/10.1002/pan3.10379

33.

Palanca-Tan

(2020). Willingness to pay of urban households for the conservation of natural resources and cultural heritage in a neighboring rural area: A CVM study. Philippine Journal of Science, 149(2), 393–403.

34.

Pallant

(2020). SPSS survival manual. Routledge. https://doi.org/10.4324/9781003117407

35.

Rodrigues

I. B.

Adachi

J. D.

Beattie

K. A.

MacDermid

J. C.

(2017). Development and validation of a new tool to measure the facilitators, barriers and preferences to exercise in people with osteoporosis. BMC Musculoskeletal Disorders, 18(540), 1–9. https://doi.org/10.1186/s12891-017-1914-5

36.

Rusdi

N. F.

Matthew

N. K.

Puan

C. L.

(2022). Willingness to donate for Malayan Tiger conservation among residents in Terengganu, Malaysia. Malayan Nature Journal, 74(3), 455–469.

37.

Shackley

(1996). Wildlife tourism. Thompson Business Press.

38.

Shuib

Ramachandran

Mohammad

A. S. H.

(2015). Conservation of giant panda in zoo negara Malaysia: Factors influencing willingness to pay of visitors [Conference session]. Paper presented at the Annual Conference of Chinese Association of Zoological Gardens Committee of Breeding Techniques for Giant Panda. Dalian, China.

39.

Stanley

D. L.

(2005). Local perception of public goods: Recent assessments of willingness-to-pay for endangered species. Contemporary Economic Policy, 23(2), 165–179. https://doi.org/10.1093/cep/byi013

40.

Subroy

Gunawardena

Polyakov

Pandit

Pannell

D. J.

(2019). The worth of wildlife: A meta-analysis of global non-market values of threatened species. Ecological Economics, 164, 106374. https://doi.org/10.1016/j.ecolecon.2019.106374

41.

Sulistiyono

Marsudi

Ahda

Asmanijar

Tobing

G. L.

Zahirah

(2023). The economic value of forest environmental services for mitigating human-wildlife conflict in the village around Management Section of National Park (MNSP) VI Besitang, Gunung Leuser National Park. IOP Conference Series: Earth and Environmental Science, 1188(1), 012010. https://doi.org/10.1088/1755-1315/1188/1/012010

42.

Ten

D. C. Y.

Jani

Hashim

N. H.

Saaban

Abu Hashim

A. K.

Abdullah

M. T.

(2021). Panthera tigris jacksoni population crash and impending extinction due to environmental perturbation and human-wildlife conflict. Animals, 11(4), 1032. https://doi.org/10.3390/ani11041032

43.

Traeholt

Novarino

Saaban

Shwe

N. M.

Lynam

Zainuddin

Simpson

Mohd

(2014). Tapirus indicus. The IUCN red list of threatened species 2016: e.T21472A45173636. In IUCN Red List of Threatened Species. https://doi.org/10.2305/IUCN.UK.2016-1.RLTS.T21472A45173636.en

44.

Tseng

W. C.

Yang

Y. C.

Chen

Y. J.

Chen

Y. C.

(2021). Estimating the willingness to pay for eco-labeled products of Formosan Pangolin (Manis pentadactyla pentadactyla) conservation. Sustainability, 13(17), 9779. https://doi.org/10.3390/su13179779

45.

Vincenot

C. E.

Collazo

A. M.

Wallmo

Koyama

(2015). Public awareness and perceptual factors in the conservation of elusive species: The case of the endangered Ryukyu flying fox. Global Ecology and Conservation, 3, 526–540. https://doi.org/10.1016/j.gecco.2015.02.005

46.

Wang

Cai

Cirella

G. T.

Xie

(2020). Chinese resident preferences for African elephant conservation: Choice experiment. Diversity, 12(12), 453. https://doi.org/10.3390/d12120453

47.

Wang

Gong

Mao

(2018). Exploring the value of overseas biodiversity to Chinese netizens based on willingness to pay for the African elephants’ protection. Science of The Total Environment, 637–638, 600–608. https://doi.org/10.1016/j.scitotenv.2018.04.417

48.

White

P. C. L.

Gregory

K. W.

Lindley

P. J.

Richards

(1997). Economic values of threatened mammals in Britain: A case study of the otter Lutra lutra and the water vole Arvicola terrestris. Biological Conservation, 82(3), 345–354. https://doi.org/10.1016/S0006-3207(97)00036-0

49.

Young

(2016). Family matters: Tales of tigers and tapirs at Dublin Zoo. In Lawrence

Lury

(Eds.), The zoo and screen media (pp. 173–195). Palgrave Macmillan US. https://doi.org/10.1057/978-1-137-53561-0_9

50.

Zainal Zahari

Julia

S. C. N.

Nasaruddin

Ahmad Azhar

. (2001). Displacement of Asian elephants Elephas maximus, Sumatran rhinoceroses Dicerorhinus sumatrensis and Malayan tapirs Tapirus indicus in Peninsular Malaysia. Journal of Wildlife and Parks, 19, 13–18.

Knowledge,Attitude,and Willingness to Pay for Malayan Tapir Conservation Among Wildlife Center Visitors in Selangor,Malaysia

Abstract

Keywords

Introduction

Material and Methods

Study Area

Contingent Valuation Method

Model Specification

Sampling Design

Reliability and Validity

Questionnaire Design

Ethics and Informed Consent Statement

Data Analysis

Results and Discussion

Descriptive Statistics Results

Socio-demographic

Knowledge of the Malayan Tapir

Attitude Toward Malayan Tapir Conservation Efforts

Analysis of the Factors That Influence Wildlife Center Visitors’ Willingness to Pay

Visitors’ Willingness to Pay

Factors that Influence the Visitor’s Willingness to Pay for Malayan Tapir Conservation

Estimation of WTP

Study Limitations

Conclusion

Footnotes

Appendix

Acknowledgements

ORCID iD

Ethical Considerations

Consent to Participate Statements

Funding

Declaration of Conflicting Interests

Data Availability Statement

References