Recreation demand and economic value: An application of travel cost method for Xiamen Island

Chen, Weiqi; Hong, Huasheng; Liu, Yan; Zhang, Luoping; Hou, Xiaojuan; Raymond, Mark

doi:10.1016/j.chieco.2003.11.001

Cited by 59 publications

(33 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Table 1 shows the range of coastline length of the valued sites calculated as the length of the polyline features (see also Figure 3). Johnston et al 2002;Lipton 2004;Marangon et al 2002;Scherrer 2003;Whitehead et al 2000 b Ballance et al 2000;Bateman et al 2001;Blackwell 2007;Chen et al 2004;Choe et al 1996;Dharmaratne et al 2000;Hanley et al 2003;Judge et al 1995;King 1995;Kosenius 2004;Landry et al 2003;Lee & Han 2002;Machado & Mourato 1999;McConnell 1986;Mourato et al 2003;Nunes & van den Bergh 2004;Oh et al 2008;Parsons et al 2009;Pitt 1997;Saengsupavanich et al 2008;Whitehead et al 2008ac Ahmed et al 2007Arin & Kramer 2002;Asafu-Adjaye & Tapsuwan 2008;Bhat 2003;Carr & Mendelsohn 2003;Casey et al 2010;Cesar 2003;Cesar & van Beukering 2004;Dharmaratne et al 2000;Edwards 2009;Kragt et al 2006;Leeworthy & Bowker 1997;Nam & Son 2004;N...…”

Section: Primary Values Of Coastal Recreationmentioning

confidence: 99%

A Global Map of Costal Recreation Values: Results from a Spatially Explicit Based Meta-Analysis

Ghermandi¹,

Nunes

2011

SSRN Journal

View full text Add to dashboard Cite

The welfare dimension of the recreational services provided by global coastal ecosystems is examined through a meta-analytical regression-based valuation approach. First, we construct a global, state-of-the-art database of stated and revealed preference estimates on coastal recreation, which includes also the grey literature and with the latest entry updated to February 2010. Second, the profile of each of the 253 observations of our dataset, which correspond to individual value estimates, was further enriched with characteristics of the built coastal environment (site accessibility, anthropogenic pressure, level of human development), characteristics of the natural coastal environment (presence of protected area, type of ecosystem, and marine biodiversity richness), geo-climatic factors (temperature and precipitation), as well as sociopolitical characteristics, such as the political stability index. In this context, the proposed meta-analytical valuation exercise explores the spatially explicit dimension of the values building upon Geographic Information System (GIS) tools. GIS are relied upon for the spatial characterization of the valued ecosystems, the determination of the role of spatially explicit variables in the meta analytical value transfer model, as well as for the value transfer exercise. The GIS characterization is observed to be extremely significant in explaining the spatial diversity of the estimates values and underlying explanatory factors. The resulting integrated valuation framework constitutes a worldwide première and it results in the first global map of the recreational value of coastal ecosystems. We argue that the presented global map may play an important role in studying the prioritization for the conservation of coastal areas from a social perspective. Although the number of applications of such techniques to coastal recreation is rapidly growing, non-market valuation studies typically have a limited geographical scope and are restricted in the range of socio-economic contexts that they consider. KeywordsValue transfer techniques are an attractive option for policy-makers facing pressing time and budget constraints when reliable primary valuation data are absent. 2Value transfer makes use of results from earlier empirical studies and applies their conclusions -according to a well-codified set of rules -to a policy site that differs from that of the study for which the values were originally estimated (Boyle & Bergstrom 1992;Florax et al. 2002;Nijkamp et al. 2008). Since local characteristics such as the accessibility of a site to potential users are crucial in determining the extent of coastal tourism and recreation, value transfer is particularly challenging when study and policy sites are located in different geographic and socio-economic contexts. This is because valuation studies generally focus on a single site or group of sites within a homogeneous context and such dependence from the context is left implicit in the analysis (Liu et al. forthcoming). Meta-analysis is the only ...

show abstract

Section: Primary Values Of Coastal Recreationmentioning

confidence: 99%

A Global Map of Costal Recreation Values: Results from a Spatially Explicit Based Meta-Analysis

Ghermandi¹,

Nunes

2011

SSRN Journal

View full text Add to dashboard Cite

show abstract

“…In this study, we used socio-economic data (based on Australian postcodes) from the ABS (2006) Census. There are no definitive 'rules' for how best to calculate travel costs: some studies have estimated TC as a function of the distance and the average cost of operating a vehicle per mile or km (Carpio et al 2008;Fleming and Cook 2008); others have included entry fees (Beal 1995a;Prayaga et al 2006), length of trip (Driml 2002;Poor and Smith 2004), the opportunity cost of time (Cesario 1976;Coupal et al 2001;Bin et al 2005) and on-site costs including the cost of food and accommodations (Chen et al 2004;Herath and Kennedy 2004). Arguably, some of the most difficult issues confronting applied travel cost researchers are how to measure the opportunity cost of time and how to deal with multiple-site visitors.…”

Section: Independent Variablesmentioning

confidence: 99%

The efficiency of the Environmental Management Charge in the Cairns management area of the Great Barrier Reef Marine Park*

Farr¹,

Stoeckl²,

Beg³

2011

Australian Journal of Agricultural and Resource Economics

View full text Add to dashboard Cite

Using data from a survey of more than 1000 domestic visitors to the Northern section of the Great Barrier Reef (GBR) -predominantly those travelling on live-aboard dive boats -this research investigates the (tax) efficiency of the Environmental Management Charge (EMC). The travel cost method (with a zero truncated negative binomial specification) is used to estimate the price elasticity of demand, and those estimates are used to estimate the deadweight losses, the losses in visitor numbers that could be 'blamed' on the EMC and the associated taxation revenues for different types of trips. The welfare loss for each dollar of revenue raised from the EMC was estimated at less than one per cent for each type of trip considered. The analysis therefore suggests that, for these types of trips in this part of the reef at least, the EMC is a very efficient tax -particularly when compared with other taxes. This has important implications beyond the GBR, particularly in countries who struggle to find sufficient funds to properly manage world heritage areas: taxes such as these may be a relatively efficient and equitable means of collecting such revenues.

show abstract

“…Second, revealed preference techniques estimate the price of a nonmarket good from a closely related proxy market good. Hedonic pricing (e.g., Pearson et al 2002) and the travel cost method (e.g., Chen et al 2004) are types of revealed preference techniques. They assess the premium being paid in a real market (e.g., property market) to access a nonmarket environmental good (e.g., scenic views).…”

Section: The Limits To Valuation?mentioning

confidence: 99%

Rethinking the economist’s evaluation toolkit in light of sustainability policy

Hajkowicz

2008

Sustainability: Science, Practice and Policy

View full text Add to dashboard Cite

The dominant economic evaluation technique is benefit-cost analysis (BCA). However, sustainability policy must handle outcomes that cannot easily be quantified in monetary units. Multiple criteria analysis (MCA) is emerging as an alternative, and/or complementary, economic evaluation tool. The economics profession has been slow to adopt MCA. This paper first explores the role of MCA within the economist's evaluation toolkit alongside BCA, costeffectiveness analysis (CEA), and cost-utility analysis (CUA) and then proposes a process for selecting an appropriate evaluation method. The choice of technique will depend on the extent to which environmental goods can be valued in monetary units. The paper argues that MCA has an expanded role to play alongside BCA (and the other methods) to ensure that sustainability policies are realized.

show abstract

Recreation demand and economic value: An application of travel cost method for Xiamen Island

Cited by 59 publications

References 10 publications

A Global Map of Costal Recreation Values: Results from a Spatially Explicit Based Meta-Analysis

A Global Map of Costal Recreation Values: Results from a Spatially Explicit Based Meta-Analysis

The efficiency of the Environmental Management Charge in the Cairns management area of the Great Barrier Reef Marine Park*

Rethinking the economist’s evaluation toolkit in light of sustainability policy

Contact Info

Product

Resources

About