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This study aims to incorporate visitors’ preferences for sustainable development into the policy framework of Rainforest Discovery Centre (RDC), Sabah, Malaysia.

A stated preference technique known as choice experiment (CE) method is used in this study. Four management attributes, namely, information provision (IP), protection level (PL), guided tour (GT) and entrance fee (FEE), were identified as the most relevant aspects of the RDC in Sabah. Two econometrics models which are conditional logit and random parameter logit were estimated to achieve the purpose of the study.

This study finds that visitors support the proposed development of RDC. The alteration of protection level (i.e. improvement of “PL” attribute) is the most concerning matter among visitors. Since the random parameter logit model revealed that PL is specified as random, the individual heterogeneity exists for PL.

The current issues in ecotourism were studied and integrated into the methodology. A unique and comprehensive policy structure was developed, and enables to respond with any contemporary issues linked to protected areas (PA) without neglecting the natural and cultural endowments.

This study presents an in-depth understanding of visitors’ preferences in the ecotourism industry and used CE as a mechanism tool to explore visitors’ preferences. This study incorporates the conceptualisation of visitors’ preferences and sustainable tourism development into the PA framework structure.

这项研究的目标是将游客的偏好纳入马来西亚沙巴的热带雨林探索中心(RDC)的政策框架中以促进可持续性发展。

种陈述偏好的技术称为选择实验(CE)的方法被采用在本文。,其中四个管理属性; 包括资讯供应(IP) 、 保护水平(PL) 、导游陪同的旅游(GT) 和入门收费(FEE), 视为沙巴RDC最相关的方面。,另外两项計量經濟模型有条件Logit和随机参数Logit模型也被用以估计来达到研究目的。

这项研究发掘游客是支持RDC的拟开发。,保护级别的改造（即“ PL”属性的改进）也是访客中最关注的事。,由于随机参数Logit模型被指定为随机, 因此PL是存在个别异质性。

此项研究研证了生态旅游中的当前问题, 并且将其综合到方法论中。,研发了独特而全面的政策结构, 以便能应对任何与受保护区域相关的当前问题, 同时非忽视自然和文化禀赋。

这项研究使用了CE作为一种机制来探索游客的偏好, 及深入了解生态旅游业中游客的偏好。,此项研结合游客偏好和可持续旅游业发展的概念并纳入了PA框架结构。

Este estudio tiene como objetivo incorporar las preferencias de los visitantes por el desarrollo sostenible en el marco de políticas de Rainforest Discovery Centre (RDC), Sabah, Malasia.

En este estudio se utiliza una técnica de preferencia declarada que se conoce como método del experimento de elección (CE). Cuatro atributos de gestión, a saber, suministro de información (PI), protección nivel (PL), visita guiada (GT) y tarifa de entrada (FEE) fueron identificados como los aspectos más relevantes de la RDC en Sabah. Dos modelos econométricos que son logit condicional y logit de parámetro aleatorio fueron estimado para lograr el propósito del estudio.

Este estudio encuentra que los visitantes apoyan el desarrollo propuesto de RDC. La alteración de El nivel de protección (es decir, la mejora del atributo "PL") es el asunto más preocupante entre los visitantes. Ya que El modelo logit de parámetros aleatorios reveló que PL se especifica como aleatorio, la heterogeneidad individual existe para PL.

Los temas actuales en ecoturismo fueron estudiados e integrados en la metodología. Se desarrolló una estructura de política única y completa que permite responder con los temas contemporáneos vinculados a las áreas protegidas (AP) sin descuidar los aspectos naturales y culturales dotaciones.

Este estudio presenta una comprensión profunda de las preferencias de los visitantes en el industria del ecoturismo y utilizó CE como una herramienta de mecanismo para explorar las preferencias de los visitantes. Este estudio incorpora la conceptualización de las preferencias de los visitantes y el desarrollo del turismo sostenible en el Estructura del Marco PA.

The study aims to conduct a critical analysis of available economic tools to value non‐market rural tourism products and services, and assess the strengths and weaknesses of these tools.

The paper reviews existing valuation methods to better understand how estimates of rural tourism products and services are conducted. The paper also critically evaluates the applicability of these methods.

The study concludes that the selection of a method is mainly based on applicability of the approach. In assessing the non‐market value of rural tourism products and services, a method is selected by identifying its strengths and weaknesses. A review of previous studies suggests the evaluation of the practicality of each method according to the topic studied.

The paper contributes to a better understanding of available valuation approaches that give reliable estimates on non‐market rural tourism products and services.

This study aims to assess the possibility of adapting evidence-based policies in the daily operations of tour operators in Semporna, Sabah, Malaysia. This intervention is important, as on-site investigations reveal that operators are operating their businesses with little reference to the ecotourism policy guidelines.

This study adopted a full qualitative approach. In-depth interviews were conducted on tour operators in Semporna, while text mining was used to elicit data from the Malaysian National Ecotourism Plan. Thematic analysis was used to analyse the data from the primary sources.

Gaps were evident between best practices guidelines from the National Ecotourism Plan and the day-to-day practices of tour operators in Semporna, Sabah. This was due to the limitations of the National Ecotourism Plan and the limitations of the operators in identifying and adhering to best practices; the impracticality of best practices in site-specific scenarios; and the benefit of adapting evidence-based practices (ECP) in Semporna, Sabah.

The implications of this study include a plan to bring forth a non-parochial and innovative approach in rural tourism policymaking process and to advocate evidence-based intervention through the inclusion and participation of stakeholders.

This study contributes towards the requisite of evidence-based intervention for rural tourism policies to meet site-specific needs.