NC State
BioResources
Prochazka, P., and Abrhám, J. (2024). “Evaluation of environmental assets value on Borneo using the travel cost method,” BioResources 19(3), 5811-5824.

Abstract

Rainforests, as invaluable natural resources, play a pivotal role globally, offering many ecosystem services such as recreation. This study aims to quantify the value of Brunei’s rainforest assets (specifically recreational areas and national parks) utilizing the Travel Cost Method (TCM), a prevalent approach for ascertaining the worth of natural sites. The tourism use of Brunei’s rainforests holds a high value, estimated at over $300,000 USD per square kilometer, which supports the argument for resource allocation towards their protection not only for ecological reasons but also for their recreational benefits. The authors posit that nature-based ecotourism can be a sustainable and protective mechanism for tropical rainforests. Practical recommendations for ecotourism include a minimalist approach to visitor regulation, limiting access to a small percentage of large recreational areas and national parks to protect flora and fauna, and possibly implementing entry or service fees.


Download PDF

Full Article

Evaluation of Environmental Assets Value on Borneo Using the Travel Cost Method

Petr Prochazka a and Josef Abrham b,*

Rainforests, as invaluable natural resources, play a pivotal role globally, offering many ecosystem services such as recreation. This study aims to quantify the value of Brunei’s rainforest assets (specifically recreational areas and national parks) utilizing the Travel Cost Method (TCM), a prevalent approach for ascertaining the worth of natural sites. The tourism use of Brunei’s rainforests holds a high value, estimated at over $300,000 USD per square kilometer, which supports the argument for resource allocation towards their protection not only for ecological reasons but also for their recreational benefits. The authors posit that nature-based ecotourism can be a sustainable and protective mechanism for tropical rainforests. Practical recommendations for ecotourism include a minimalist approach to visitor regulation, limiting access to a small percentage of large recreational areas and national parks to protect flora and fauna, and possibly implementing entry or service fees.

DOI: 10.15376/biores.19.3.5811-5824

Keywords: Rainforest; Bioresources; Deforestation; Ecotourism; Travel cost method; Brunei

Contact information: a: Department of Economics, Czech University of Life Science, Prague, Czech Republic; b: Department of Trade and Finance, Czech University of Life Science, Prague, Czech Republic;

* Corresponding author: abrham@pef.czu.cz

INTRODUCTION

Policies against deforestation and forest degradation are an important part of global action needed to reduce greenhouse gas emissions and biodiversity loss (De Lacerda et al. 2022; Lawrence et al. 2022). Rainforests, as invaluable natural resources, play a pivotal role globally, offering a myriad of both tangible and intangible services (McCallister et al. 2022; Stabile et al. 2022). Localized on the island of Borneo, Brunei harbours one of the world’s most biodiverse and undisturbed national rainforest parks. About three-fifths of the country is covered with virgin tropical rainforest and secondary forests (Rifli 2020). The national park is subject to various policies that are summarized in Table 1. These policies are grouped into five sections and are related to certain costs to local as well as the national government. This is why it is necessary to determine the value of the park so that the costs of these policies can be justified economically. The intrinsic and extrinsic values of such pristine ecosystems necessitate meticulous valuation, particularly from a policy-making standpoint, to safeguard these natural treasures (Destiartono and Ekananda 2023). This study aims to quantify the value of Brunei’s rainforests utilizing the Travel Cost Method (TCM), a prevalent approach for ascertaining the worth of natural sites (Menendez-Carbo et al. 2020).

Various studies have valued natural resources using TCM. These studies are, however, often focused on smaller parks (Blayac et al. 2016; Pirikiya et al. 2016; Amiri and Limaei 2021), lakes (Desta and Bersisa 2019; Wubalem et al. 2023), wetlands (Dehlavi and Adil 2011), and countries with different natural resource policies (Schägner et al. 2016; Mayer and Woltering 2018). As far as the authors know, no previous research examined Bruneis tropical rainforests by TCM. At the same time, Brunei represents a unique case study of a successful natural resources policy (Gaveau et al. 2019). Localized on the island of Borneo, Brunei harbours one of the world’s most biodiverse and undisturbed national rainforest parks (Ikbal et al. 2023). Meanwhile, the forest area has decreased on the island of Borneo by 50% in the last fifty years (Ocampo-Peñuela et al. 2020). Unlike the largely deforested parts of Malaysian and Indonesian Borneo, Brunei is one of the world leaders in primary resource management (Bryan et al. 2013; Ma et al. 2023).

Table 1. National Forests and Primary Resources Policy (Brunei Daressalam)

Source: Ministry of primary resources and tourism Brunei Darussalam (2023)

The emphasis on modern forest management in Brunei has shifted strongly to conservation in the last two decades. A key objective of forestry planning and programs in Brunei is to maintain a pristine forest environment by ensuring prudent but optimal use of forest resources. The country has a significant network of protected areas, with approximately 20% of the country’s total area under some form of protection. Brunei has one large national park (Ulu Temburong) and a large number of forest reserves managed mainly for nature conservation and recreation (Noorashid and Chin 2021).  Together they constitute an area of 555.6 km2.

This paper aims to quantify the value of Brunei’s recreational areas and national parks per square km utilizing the Travel Cost Method.  The deduced value underscores the rainforest’s significance to local and national economies, propelling a discourse on policy frameworks (Gwee et al. 2019; Matthew et al. 2022; Nguyen et al. 2023). The rainforest is also the main natural attraction for international tourism (Chin et al. 2023). The authors posit that nature-based ecotourism can be a sustainable and protective mechanism for tropical rainforests, contingent upon efficacious regulation and oversight by governmental bodies and destination management organizations (Cetin et al. 2021). Consequently, this paper proffers practical policy implications and strategies for ecotourism management, aligning economic valuation with conservation and sustainable tourism practices, thereby contributing to the global dialogue on environmental policy and natural resource management (UN 2024). Based on existing research gaps, the authors established the following questions. What is the economic value of Brunei’s rainforest national parks and recreational areas per unit of area estimated by the travel cost method? To what extent can be the established value be a basis for implementing policies to protect natural resources in Brunei?

MATERIALS AND METHODS

Visitors exhibit diverse patterns in the time and money they spend to access a resource. Generally, those living closer to a resource visit more frequently and incur lower costs, while those farther away visit less often and spend more. This pattern allows economists to estimate the value of a recreational site by averaging the transportation and opportunity costs incurred by visitors travelling to the site (Pokki et al. 2020).

The travel cost method (TCM), a revealed preference approach, evaluates economic value by examining actual behavior. Various techniques can be employed for data collection and estimation using TCM, which aims to quantify the value individuals assign to a resource based on their travel expenditures and frequency of visits (Brandt et al. 2019; Das 2013). For this paper, the total number of visitors to recreational areas and national parks in Brunei is presented in Fig. 1 by the destination. These recreational areas of national parks constitute the study area of this research paper.

The total number of 194,777 visitors to national parks and recreational areas for 2019 was used in this study, as 2020 was already influenced by COVID-19 (MPRT, 2021) as represented in Fig. 2. Also, one of the parks – Sungai Liang Forest recreation park was deleted from the data. Sungai Liang Forest Recreation Park is known for its well-developed facilities and attractions, which may cater to a different type of visitor experience compared to more natural or less developed parks. The total adjusted number of visitors after exclusion of this park was 135,646 visitors. The structure of the visitors was taken from the Immigration & National Department, Ministry of Home Affairs, Brunei Darussalam (2023). The TCM usually utilizes a set-up of different zones based on the distance to the recreational site.

Fig. 1. Visitors of recreational areas and national parks in Brunei; Source: MPRT Brunei Darussalam (2021)

Fig. 2. Total visitors of recreational areas and national parks in Brunei; Source: MPRT Brunei Darussalam (2023)

Due to the nature of the authors’ data, each country could be defined, from which people were travelling to Brunei Darussalam according to MPRT (2023). These data resources show the total number of tourists by origin. The origin of visitors for 2019 in percentages is visible in Fig. 3.

Fig. 3. Structure of visitors to Brunei’s recreational areas and national parks 2019; Source: MPRT Brunei Darussalam (2022)

For each country, socioeconomic data were collected from Numbeo (2023). For distances from individual countries, data were collected from GCmap (2023). This methodology aligns with previous studies (Das 2013; Pokki et al. 2020).

The set-up of the TCM model requires a regression model (Eq. 1),

Vn=α+β1​⋅TC+ϵ      (1)

where V is the number of visits from n countries, TC is the total travel cost, α and β1​ are parameters to be estimated, and ϵ is the error term. Total travel cost (TC) can be defined as,

TC = Transportation Cost+ TimeCost      (2)

where,

Time Cost=Average Hourly Wage × (Travel Time + Stay) [hours]    (3)

and transportation cost is determined by the average price for air tickets.

Travel costs (TC) are calculated as a sum of transportation cost and cost of time, which is equal to the opportunity cost of travel. Time cost is calculated by taking the average hourly wage per country multiplied by the average time to destination multiplied by eight hours of work per day Additionally, average of 4.5 days of stay (Ministry of Primary Resources and Tourism Brunei Darussalam, 2022) is multiplied by eight hours of work per day. The linear functional form is usually the most suitable one. Other approaches could be the log or semi-log functions. Based on the regression equation the absolute number of visitors is determined. Consequently, consumer surplus is calculated as the area above the average total cost line (ATC) below the demand curve, which corresponds to the consumer surplus that leads to the determination of the site value. Average total cost is calculated as the average costs of all visitors.

RESULTS

Following the introduced methodology, the demand curve has been estimated. The regression results with all data did not show a significant value on the slope coefficient β1. Therefore, several countries had to be eliminated from the regression as they were outliers and were distorting the regression results. The results of the final regression are presented in Table 2.

Table 2. Regression Results

Source: Own calculations

This leads to the definition of the regression Eq. 4,

V = 108742.5 – 24.335 TC (4)

where all variables were already described in the methodological section. The calculation of consumer surplus was done from Fig. 4. In order to calculate it, it is necessary to determine the maximum willingness to pay. This is the point Max WTP in Fig. 1, which is equal to $4,450 USD. Also, it was necessary to determine the average travel cost (ATC) which was equal to $733 USD. Substituting this number into the regression yields 90,831 visitors. Finally, the total consumer surplus per square kilometer of Brunei National Park was calculated as the area under the demand curve above the average costs divided by the area of the park. This yields the value per square kilometer equal to $304,487 USD.

Fig. 4. Consumer surplus; Source: Own calculations

DISCUSSION AND LIMITATIONS

Compared to previously published studies (Gührlük and Rehber 2008; Pirikiya et al. 2016), the quantified value of Brunei’s rainforests (more than $300,000 USD per square kilometer) corresponds to the valuation method used and the geographical characteristics of the country. Comparable values in relative terms per square kilometre have been estimated using the TCM by Mayer and Woltering (2018) for 15 national parks in Germany, Schägner et al. (2016) for national parks in Great Britain, or Pirikiya et al. (2016) for Karnataka Nagarhole Park. The perceived value of the Brunei Rainforest, measured using the TCM approach, outperforms natural sites in heavily forested and sparsely populated countries with a low number of visitors. Another recent study by Tang (2019) investigated the economic value of urban green spaces using the TCM. Tang’s research focused on urban parks and the associated travel expenses of visitors. The study demonstrated that urban green spaces hold substantial economic value, which can be crucial for urban planning and resource allocation. By examining the detailed travel costs, including the opportunity cost of time, Tang (2019) illustrated how TCM could effectively capture the economic value of non-market goods such as urban parks. The results emphasized the importance of these green spaces for urban dwellers and the need for their preservation (Tang 2019). Schägner et al. (2016) quantified the price of national parks in the Nordic countries (Norway, Finland, and Sweden), Switzerland, and Poland in the value of up to $10,000 USD per square kilometer.

Table 3. Values of Nature Parks and Resources by Travel Cost Method

Source: Becker et al. 2005; Nillesen et al. 2005; Gührlük and Rehber 2008; Pirikiya et al. 2016; Schägner et al. 2016; Mayer and Woltering 2018; own calculations

A similar value was reached by Nillesen et al. (2005) when analyzing the Bellenden Ker Range in Australia. In contrast, studies of locations with a high intensity of tourism, a small area of national parks and an above-average level of recreation facilities and hiking trails estimated considerably higher values per square kilometre. Record values were quantified by Schägner et al. (2016) for national parks in Germany, Belgium, and Denmark. However, the value of national parks in Germany was probably overestimated by including visitors to the entire North Sea coast (Mayer and Waltering 2018). The overview of the studies dealing with the value of national parks is provided in Table 4.

Consistent with prior studies (Puhakka and Saarinen 2013; Saarinen 2016), there is justification to recognize the importance of the value of tourism in the planning and management of natural areas (Haukeland 2011). The growing demand for travel to protected areas while respecting aspects of sustainability is indisputable not only in Brunei but also on a global scale (Sæþórsdóttir et al. 2022). Ecotourism can be understood as a gentler industry than traditional industrial sectors (Gwee et al. 2019; Kitaibekova et al. 2023). Theories declare that with the growth of the economic maturity of the country, there is the promotion of more gentle approaches to the environment (Adila et al. 2021; Caravaggio 2022). The improvement of the economic and social conditions of the local population as a result of the development of the regional economy and employment in environmentally friendly service sectors can act as a motivating factor for residents to protect nature (Esfandiar et al. 2020; Baloch et al. 2023). At the same time, the main purpose of tropical rainforests is not to provide recreational services, but to preserve the unique biodiversity and global climate for future generations (Kuvan 2005; Chazdon 2017; Brandt et al. 2019). Finding a balance between tourism and nature conservation is key to the functioning of the rainforest ecosystem. In response to the increasing public demand for nature-based tourism, it is necessary to strategically manage the recreational, protective, and production activities of forests (Hikmah et al. 2021; Wang et al. 2021; Zoysa 2022).

Concrete practical recommendations in the field of ecotourism include a minimalist approach that strictly regulates the number of visitors. In the case of large national parks, it is reasonable to open only a small percentage of the area to tourists. Thanks to such regulation, it is possible to preserve rare species of flora and fauna Protected area managers may even charge entry fees or at least charge user fees for services. Tourism infrastructure should respect the principles of sustainable development (e.g., Uusitalo 2017; Heslinga et al. 2019; Mondino and Beery 2019; Forje and Tchamba 2022).

When building recreational resorts, the impact on the environment should be minimized, including current technologies that enable the use of recycled material and alternative energy sources (e.g., solar energy) in natural locations (Htay et al. 2022). In recent years, the risk of fires has been increasing due to global warming and human behaviour. For the long-term sustainability of tropical rainforests, it is necessary to create adequate institutional, technical, and legal conditions for fire prevention. Technical measures may include the construction of monitoring towers, early detection and warning of fires, or restricting visitor access to risk areas. An understanding of environmental issues is also important.

Rainforests can also serve as university research centres and training facilities for the public. Environmental education and awareness positively influence the self-regulation and setting of personal standards of visitors and entrepreneurs (Haukeland 2011; Dodds et al. 2016). The behaviour of the population is strongly determined by the economic level of the country and the policies of the governments. In Brunei, oil and natural gas are paradoxically important factors in the sustainability of unique forest stands (Hamdan and Low 2014; Ibrahim and Ghani 2018). The country achieves high export earnings and can thus regulate logging and limit deforestation. A large part of the consumption of wood products in Brunei is even met by foreign production. A risk for the long-term sustainability of the Brunei Rainforest may be the depletion of resources and the limitation of oil and natural gas extraction in the long term.

The needed research is limited by methodological, statistical, and geographical constraints. The travel cost method data, estimated based on the structure of tourist visitors to Brunei, assumes that these visitors are primarily in the country for tourism purposes, including visits to recreational reserves and national parks. This assumption introduces a potential bias, as it may lead to an overestimation of the location’s value when visitors have multiple purposes for their trip. The allocation of tourism costs across different purposes is challenging to accurately capture due to limited data sources. Estimating the opportunity cost of time is difficult, as leisure time can vary and affect work productivity. This study uses eight hours of working time to calculate opportunity costs, which might be an overestimate compared to other studies that use a shorter duration. The travel cost method also has limitations in reflecting user benefits, assuming that two tourists traveling the same distance derive identical benefits. For future research, it is recommended to enhance the analysis of consumer preferences through comprehensive methods such as questionnaire surveys, guided interviews, or contingent valuation methods (CVM), both on-site and off-site. Geographically, the study focused on Brunei as a case study. Replicating this research in other neighboring countries and regions on Borneo could improve the generalizability of the findings.

CONCLUSIONS

  1. The recreational use of Brunei’s rainforests holds a high value, estimated at over $300,000 USD per km2, which supports the argument for resource allocation towards their protection not only for ecological reasons but also for their recreational benefits.
  2. Estimations of natural parks’ values are crucial for effectively planning recreational facilities, transport, and tourism infrastructure. With a clear monetary value, it becomes easier to allocate budget for conservation projects. This can include funding for park management, restoration projects, and community programs that promote sustainable use of natural resources. Understanding the high economic value can deter activities that might degrade these areas, such as illegal logging, pollution, or unplanned development.
  3. Increasing demand for nature-based tourism necessitates strategic management of recreational, protective, and production activities within forests.
  4. Practical recommendations for ecotourism include a minimalist approach to visitor regulation, limiting access to a small percentage of large national parks to protect flora and fauna, and possibly implementing entry or service fees.
  5. Sustainable development principles should guide tourism infrastructure, with minimal environmental impact and the use of recycled materials and alternative energy sources while addressing the increasing risk of fires due to global warming and human activities requires adequate institutional, technical, and legal fire prevention measures.
  6. The economic status of a country and government policies significantly influence behaviour towards environmental sustainability. In Brunei, the paradox of relying on oil and natural gas revenues helps regulate logging and limit deforestation, with a significant portion of wood product consumption met by foreign production. The long-term sustainability of Brunei’s rainforests may be threatened by resource depletion and the potential limitation of oil and natural gas extraction.

REFERENCES CITED

Adila, D., Nuryartono, N., and Oak, M. (2021). “The Environmental Kuznets curve for deforestation in Indonesia,” Economics and Finance in Indonesia 67(2), 195-211. DOI: 10.47291/efi.v67i2.671

Alas, Y., and Anshari, M. (2021). “Initiating Brunei cross-border tourism (BCBT) as a gateway to Borneo,” International Journal of Asian Business and Information Management 12(2021), 15-25. DOI: 10.4018/IJABIM.20210701.oa2

Amiri, N., and Limaei, S. M. (2021). “Estimating the recreational value of a forest area using contingent valuation and individual travel cost methods (Case Study: Kahman forest area, Iran),” Central Asian Journal of Environmental Science and Technology Innovation 4, 164-174.

Aydin, I. Z., and Öztürk, A. (2023). “Identifying, monitoring, and evaluating sustainable ecotourism management criteria and indicators for protected areas in Türkiye: The case of Camili Biosphere Reserve,” Sustainability 15(4), article 2933. DOI: 10.3390/su15042933

Baloch, Q. B., Shah, S. N., Iqbal, N., Sheeraz, M., Asadullah, M., Mahar, S., and Khan, A. U. (2023). “Impact of tourism development upon environmental sustainability: A suggested framework for sustainable ecotourism,” Environmental Science and Pollution Research 30(3), 5917-5930. DOI: 10.1007/s11356-022-22496-w

Beal, D. J. (1995). “Travel cost analysis of the value of Carnarvon Gorge national park for recreational use,” Review of Marketing and Agricultural Economics 63, 292-303. DOI: 10.22004/ag.econ.12337

Bhuiyan, B. A., and Wahab, A. M. H. A. (2018). “Sustainable tourism sector development in Negara Brunei Darussalam: Application of total quality management approach as strategic option,” Journal of Tourism & Hospitality 7(3), article 357. DOI: 10.4172/2167-0269.1000357

Blayac, T., Hamadé, F., and Salles, J. M. (2016). “Valuing the recreational services of a marine and terrestrial natural protected area: A travel cost analysis of Port-Cros National Park,” Revue D’économie Politique 1(126), 127-153. DOI: 10.3917/redp.261.0127

Brandt, J. S., Radeloff, V., Allendorf, T., Butsic, V., and Roopsind, A. (2019). “Effects of ecotourism on forest loss in the Himalayan biodiversity hotspot based on counterfactual analyses,” Conservation Biology 33(6), 1318-1328. DOI: 10.1111/cobi.13341

Bryan, J. E., Shearman, P. L., Asner, G. P., Knapp, D. E., Aoro, G., and Lokes, B. (2013). “Extreme differences in forest degradation in Borneo: Comparing practices in Sarawak, Sabah, and Brunei,” PLOS One 8(7), article 69679. DOI: 10.1371/journal.pone.0069679

Caravaggio, N. (2022). “Economic growth and forest transition in Latin America,” Forest Policy and Economics 135, article ID 102667. DOI: 10.1016/j.forpol.2021.102667

Cetin, N. I., Bourget, G., and Tezer, A. (2021). “Travel-cost method for assessing the monetary value of recreational services in the Ömerli Catchment,” Ecological Economics 190, article ID 107192. DOI: 10.1016/j.ecolecon.2021.107192

Chazdon, R. L., Brancalion, P. H. S., Lamb, D., Laestadius, L., Calmon, M., and Kumar, C. (2017). “A policy‐driven knowledge agenda for global forest and landscape restoration,” Conservation Letters 10(1), 125-132. DOI: 10.1111/conl.12220

Chin, S. W. L., Hassan, N. H., and Yong, G. Y. (2023). “The new ecotourists of the 21st century: Brunei as a case study,” Cogent Social Sciences 9(1), article ID 2191444. DOI: 10.1080/23311886.2023.2191444

Das, S. (2013). Travel Cost Method for Environmental Valuation, Madras School of Economics, Chennai, India.

Dehlavi, A., and Adil, I. H. (2011). Valuing the Recreational Uses of Pakistan’s Wetlands: An Application of the Travel Cost Method, South Asian Network for Development and Environmental Economics, Kathmandu, Nepal.

Desta, Y., and Bersisa, M. (2019). “Recreational use value of lakes an application of travel cost method: A case of lake Ziway,” International Journal of Economy, Energy and Environment 4(3), 56-62. DOI: 10.2139/ssrn.3433029

Destiartono, M. E., and Ekananda, M. (2023). “Deforestation-induced the EKC framework: The role of corruption control and trade openness in Southeast Asia,” Jurnal Ekonomi & Studi Pembangunan 24(2), 81-99. DOI: 10.18196/jesp.v24i1.16798

Dodds, R., Ali, A., and Galaski, K. (2016). “Mobilizing knowledge: Determining key elements for success and pitfalls in developing community-based tourism,” Current Issues in Tourism 21 (13), 1547-156. DOI: 10.1080/13683500.2016.1150257

Esfandiar, K., Dowling, R., Pearce, J., and Goh, E. (2020). “Personal norms and the adoption of pro-environmental binning behaviour in recreational areas and national parks: An integrated structural model approach,” Journal of Sustainable Tourism 28(1), 10-32. DOI: 10.1080/09669582.2019.1663203

Forje, G. W., and Tchamba, M. N. (2022). “Ecotourism governance and protected areas sustainability in Cameroon: The case of Campo Ma’an National Park,” Current Research in Environmental Sustainability 4(2022), article ID 100172. DOI: 10.1016/j.crsust.2022.100172

Gaveau, D. L., Locatelli, B., Salim, M. A., Yaen, H., Pacheco, P., and Sheil, D. (2019). “Rise and fall of forest loss and industrial plantations in Borneo (2000–2017),” Conservation Letters 12(3), article ID 12622. DOI: 10.1111/conl.12622

GCMap (2023). “Great Circle Mapper,” (http://www.gcmap.com/mapui?P=SIN-JFK,+SIN-EWR,+DOH-AKL,+PER-LHR,+DXB-AKL,+SFO-BLR,+SIN-LAX,+DRW-LHR,+AKL-JFK,+MEL-DFW), Accessed 16 June 2024.

Gürlük, S., and Rehber, E. (2008). “A travel cost study to estimate recreational value for a bird refuge at Lake Manyas, Turkey,” Journal of Environmental Management 88(4), 1350-1360. DOI: 10.1016/j.jenvman.2007.07.017

Gwee, S. L., Tan, A. K., and Narayanan, S. (2019). “Sustainable tourism and forest conservation: The case of the Belum-Temengor rainforest complex in Perak, Malaysia,” Journal of Sustainable Forestry 38(4), 327-342. DOI: 10.1080/10549811.2018.1549498

Hamdan, M., and Low, K. C. P. (2014). “Ecotourism development in Brunei Darussalam,” Transnational Corporations Review 6(3), 248-272. DOI: 10.5148/tncr.2014.6304

Haukeland, J. V. (2011). “Tourism stakeholders’ perceptions of national park management in Norway,” Journal of Sustainable Tourism 19(2), 133-153. DOI: 10.1080/09669582.2010.517389

Heslinga, J., Groote, P., and Vanclay, F. (2019). “Strengthening governance processes to improve benefit-sharing from tourism in protected areas by using stakeholder analysis,” Journal of Sustainable Tourism 27, 773-787. DOI: 10.1080/09669582.2017.1408635

Hikmah, N., Larasati, E., Purnaweni, H., and Yuniningsih, T. (2021). “Collaboration of stakeholders in the development of ecotourism of Tangkahen village in Pulang Pisau Regency of Central Borneo,” Management and Entrepreneurship: Trends of Development 2(16), 31-41. DOI: 10.26661/2522-1566/2021-1/16-03

Htay, T., Htoo, K. K., Mbise, F. P., and Røskaft, E. (2022). “Factors influencing communities’ attitudes and participation in protected area conservation: A case study from Northern Myanma,” Society & Natural Resources 35(3), 301-319. DOI: 10.1080/08941920.2022.2032515

Ibrahim, F., and Ghani, S. A. (2018). “Socio-economic impact of revitalization: The case of Bandar Seri Begawan, Brunei Darussalam,” International Journal of Regional Development 5(2), article ID 13024. DOI: 10.5296/ijrd.v5i2.13024

Ikbal, I. M., Din, H. H. M., Tuah, W. H., Jaafar, S. M., Ahmad, N., and Sukri, R. S. (2023). “Diversity, structure, and community composition of Bornean heath forest with a focus on Brunei Darussalam,” Biodiversitas 24(5), 2814-2829. DOI: 10.13057/biodiv/d240535

Kitaibekova, S., Toktassynov, Z., Sarsekova, D., Mohammadi Limaei, S., and Zhilkibayeva, E. (2023). “Assessment of forest ecosystem services in Burabay National Park, Kazakhstan: A case study,” Sustainability 15(5), article 4123. DOI: 10.3390/su15054123

Kuvan, Y. (2005). “The use of forests for the purpose of tourism: The case of Belek Tourism Center in Turkey,” Journal of Environmental Management 75(3), 263-274. DOI: 10.1016/j.jenvman.2005.01.003

Lawrence, D., Coe, M., Walker, W., Verchot, L., and Vandecar, K. (2022), “The unseen effects of deforestation: Biophysical effects on climate,” Frontiers in Forests and Global Change 5, article 756115. DOI: 10.3389/ffgc.2022.756115

Ma, J., Li, J., Wu, W., and Liu, J. (2023). “Global forest fragmentation changes from 2000 to 2020,” Nature Communications 14(1), article 3752. DOI: 10.1038/s41467-023-39221-x

Matthew, N. K., Shuib, A., Raja Gopal, N. G., and Zheng, G. I. (2022). “Economic value of recreation as an ecosystem service in Ayer Keroh recreational forest, Malaysia,” Sustainability 14(9), article 4935. DOI: 10.3390/su14094935

Mayer, M., and Woltering, M. (2018). “Assessing and valuing the recreational ecosystem services of Germany’s recreational areas and national parks using travel cost models,” Ecosystem Services 31, 371-386. DOI: 10.1016/j.ecoser.2017.12.009

McCallister, M., Krasovskiy, A., Platov, A., Pietracci, B., Golub, A., Lubowski, R., and Leslie, G. (2022). “Forest protection and permanence of reduced emissions,” Frontiers in Forests and Global Change 5, article ID 928518. DOI: 10.3389/ffgc.2022.928518

Menendez-Carbo, S., and Ruano, M. A., and Zambrano-Monserrate, M. A. (2020). “The economic value of Malecón 2000 in Guayaquil, Ecuador: An application of the travel cost method,” Tourism Management Perspectives 36, article ID 100727. DOI: 10.1016/j.tmp.2020.100727

Ministry of Primary Resources and Tourism (MPRT) Brunei Darussalam (2023). “Departments (forestry, tourism),” (http://www.mprt.gov.bn/SitePages/Departments.aspx), Accessed 11 Nov 2023.

Ministry of Primary Resources and Tourism (MPRT) Brunei Darussalam (2022). “Brunei Tourism Performance,” (http://www.tourism.gov.bn/SiteCollectionDocuments/Statistics/Brunei%20Tourism%20Performance%20Report%20JAN-DEC%202021.pdf), Accessed 15 October 2023.

Ministry of Primary Resources and Tourism (MPRT) Brunei Darussalam (2021). “Sectoral statistics,” (http://www.forestry.gov.bn/SiteCollectionDocuments/Statistics/Statistik%20Sektor%20Perhutanan%202020_27%20Jan_updt%20S9.pdf), Accessed 20 March 2024.

Mondino, E., and Beery, T. (2019). “Ecotourism as a learning tool for sustainable development. The case of Monviso Transboundary Biosphere Reserve, Italy,” Journal of Ecotourism 18(2), 107-121. DOI: 10.1080/14724049.2018.1462371

Nguyen, C. P., Nguyen, B. Q., and Tran, D. T. L. (2023). “Over two decades of severe deforestation: An economic perspective of tourism development,” Journal of Environmental Studies and Sciences 13(1) 83-104. DOI:10.1007/s13412-022-00802-9

Nillesen, E., Wesseler, J., and Cook, A. (2005). “Estimating the recreational-use value for hiking in Bellenden Ker National Park, Australia,” Environmental Management 36, 311-316. DOI: 10.1007/s00267-003-0219-7

Noorashid, N., and Chin, W. L. (2021). “Coping with COVID-19: The resilience and transformation of community-based tourism in Brunei Darussalam,” Sustainability 13(15), article 8618. DOI: 10.3390/su13158618

Numbeo (2023). “Prices by country,” (https://www.numbeo.com/cost-of-living/), Accessed 15 October 2023.

Ocampo-Peñuela, N., Garcia-Ulloa, J., Kornecki, I., Philipson, C. D., and Ghazoul, J. (2020). “Impacts of four decades of forest loss on vertebrate functional habitat on Borneo,” Frontiers in Forests and Global Change 3, article 53. DOI: 10.3389/ffge.2020.00053

Pirikiya, M., Amirnejad, H., Oladi, J., and Solout, K. A. (2016). “Determining the recreational value of forest park by travel cost method and defining its effective factors,” Journal of Forest Science 62(9), 399-406. DOI: 10.17221/12/2016-JFS

Pokki, H., Jacobsen, J. B., Olsen, S. B., and Romakkaniemi, A. (2020). “Understanding angler profiles in cases of heterogeneous count data–A travel cost model,” Fisheries Research 221, article ID 105377. DOI: 10.1016/j.fishres.2019.105377

Puhakka, R., and Saarinen, J. (2013). “New role of tourism in national park planning in Finland,” The Journal of Environment & Development 22(4), 411-434. DOI: 10.1177/1070496513502966

Rifli, F. N. (2020). “Ecotourism, the solution for Brunei’s growth,” (https://www.researchgate.net/publication/341079279_Ecotourism_The_Solution_for_Brunei’s_Growth), Accessed 11 July 2023.

Saarinen, J. (2016). “Wilderness use, conservation and tourism: What do we protect and for and from whom?,” Tourism Geographies 18(1), article ID 1116599. DOI: 10.1080/14616688.2015.1116599

Sæþórsdóttir, A. D., Wendt, M., and Ólafsdóttir, R. (2022). “Tourism industry attitudes towards recreational areas and national parks and wilderness: A case study from the Icelandic Central Highlands,” Land 11(11), article 2066. DOI: 10.3390/land11112066

Schägner, J. P., Brander, L., Maes, J., Paracchini, M. L., and Hartje, V. (2016). “Mapping recreational visits and values of European Recreational areas and national parks by combining statistical modelling and unit value transfer,” Journal for Nature Conservation 31, 71-84. DOI: 10.1016/j.jnc.2016.03.001

Stabile, M. C., Garcia, A. S., Salomão, C. S., Bush, G., Guimarães, A. L., and Moutinho, P. (2022). “Slowing deforestation in the Brazilian Amazon: Avoiding legal deforestation by compensating farmers and ranchers,” Frontiers in Forests and Global Change 4, article ID 635638. DOI: 10.3389/ffgc.2021.635638

Tang, Q. (2019). “Economic valuation of urban green spaces: An application of the travel cost method,” Urban Forestry & Urban Greening, 40, 174-182. DOI: 10.1016/j.ufug.2019.04.010

UN (2024). “Global objectives on forests,” (https://www.un.org/esa/forests/documents/global-objectives/index.html), Accessed 02 March 2024.

UNWTO (2023). “Tourism statistics database,” (https://www.unwto.org/tourism-statistics/tourism-statistics-database), Accessed 21 Dec 2023.

Uusitalo, M. (2017). “How to maintain naturalness in nature-based tourism resorts?,” Matkailututkimus 13(1-2) 100-103.

Wang, W., Feng, L., Zheng, T., and Liu, Y. (2021). “The sustainability of ecotourism stakeholders in ecologically fragile areas: Implications for cleaner production,” Journal of Cleaner Production 279, article ID 123606. DOI: 10.1016/j.jclepro.2020.123606

Wubalem, A., Woldeamanuel, T., and Nigussie, Z. (2023). “Economic valuation of lake Tana: A recreational use value estimation through the travel cost method,” Sustainability 15(8), article 6468. DOI: 10.3390/su15086468

Zoysa, M. D. (2022). “Forest-based ecotourism in Sri Lanka: A review on state of governance, livelihoods, and forest conservation outcomes,” Journal of Sustainable Forestry 41(3) 413-439. DOI: 10.1080/10549811.2021.1943450

Article submitted: March 11, 2024; Peer review completed: May 25, 2024; Revised version received and accepted: June 24, 2024; Published: July 12, 2024.

DOI: 10.15376/biores.19.3.5811-5824