THE ECONOMIC VALUE OF RECREATIONAL BENEFIT OF AIK NYET NATURE TOURISM, KPH RINJANI BARAT: An Application of the Travel Cost Methods

Abstract

Good knowledge on economic value of a particular tourist destination is primarily fundamental for effective management policy formulation. In 2015, Aik Nyet Nature Tourism, which covers an area of approximately 9.08 hectare, is one of tourist destinations planned to receive donation from Provincial Government of West Nusa Tenggara (Pemprov NTB) for its improvement and development of facilities, infrastructures as well as capacity building for people around the tourism location. Using travel cost method, this study estimates consumers' surplus and economic benefits of recreational value in Aik Nyet before the realization of donation from Pemprov NTB. Consumers' surplus per individual per visit is estimated using data collected from survey. Data were collected by means of self-administered, paper-based questionnaire completed on-site during weekend and national holiday of August to October 2015. Using poisson regression, the travel costs (transportation cost, consumption cost, and location paid entrance fee) were considered in the study to explain the frequency of individual's visit to the tourist location. Results of the study show that that consumer surplus obtained by visitors is Rp2,557.158 per visit per individual and the economic recreational value before the realization of the government's financial support is approximately Rp9,333,627.70 per year.

Economic Value of Recreational Benefits from the Mudumalai Tiger Reserve, Tamil Nadu, India: An Individual Travel Cost Approach

“…Typically, the actual behaviour of the visitor is not captured by the CVM (Guha & Ghosh, 2009); as a result, TCM is a suitable approach and is widely used for valuing outdoor recreation (Borzykowski et al, 2017; Haab & McConnell, 2002; Voke et al, 2013). In addition, over the last 50 years, many economists have used and proposed that the TCM is the best way to estimate the value of recreational benefits by examining the empirical relationship between actual behaviour and site visitation rates (Carr & Mendelsohn, 2003; Hendarto et al, 2019; Ward & Beal, 2000). The TCM aims to generate the monetary value of the benefits from recreational sites enjoyed by the visitors based on visitor’s actual behaviour (Ward & Beal, 2000).…”

“…According to the definition of the dependent variable (V), the TCM can be classified into three different types namely the ZTCM, ITCM and Random Utility Method (RUM). The two most commonly used travel cost methods are the ZTCM and the ITCM (Hendarto et al, 2019; Tourkolias et al, 2014). The ZTCM was used to estimate the recreational benefit based on the number of visits made by individuals during a given time period (or visitation rate) to the recreation site, the population of different zones, geographical characteristics and the travel costs.…”

“…Therefore, the ITCM is considered more preferable than the ZTCM in terms of computational reliability and theoretical accuracy in modelling human behaviour (Ha, 2007; Ward & Beal, 2000; Zhang et al, 2015). As a result, most economists and researchers have turned to ITCM as a reliable method for quantifying recreational benefits (Bell & Leeworthy, 1990; El-Bekkay et al, 2013; Hendarto et al, 2019). Accordingly, we used the ITCM to estimate the economic value of the recreational benefits of the MTR.…”

“…In order to estimate the economic value of recreational benefits, several econometric models are used (Desta, 2019). However, in the case of discrete events of independent variables, the count data model has recently become popular (Hendarto et al, 2019; Irwan & Sari, 2013). As so much literature suggests that instead of a simple ordinary least squares (OLS) regression model, the count data probability distribution is more appropriate for TCM due to its non-negative integers (Bhat & Bhatt, 2018; Blaine et al, 2015; Cameron & Trivedi, 1986, 2013; Creel & Loomis, 1990; Hellerstein, 1991; Hellerstein & Mendelsohn, 1993).…”

Manfaat, Pandangan, Dan Alternatif Program Perhutanan Sosial Di Dua Kelompok Rujukan, Kabupaten Pemalang

“…Telah terdapat banyak penelitian yang mengkaji tentang dampak perhutanan sosial di Indonesia baik dampak positif atau mengkaji faktor negatif pengimplementasian program perhutanan sosial (Kuncoro & Cahyani, 2018;Moeliono et al, 2017;Rakatama & Pandit, 2020;Santika et al, 2019;Wulandari & Kurniasih, 2019) dan terdapat pula penelitian yang menilai potensi wisata, potensi nilai ekonomi pengelolaan hutan oleh masyarakat atau pada suatu objek wisata (Hayati, 2021;Hendarto et al, 2019;D. C. Hidayat et al, 2020;Jariyah, 2019;Lugina et al, 2019;Saputro et al, 2020;Surati et al, 2019).…”