Travel-cost method for assessing the monetary value of recreational services in the Ömerli Catchment

Çetin, Nüket İpek; Bourget, Gulhan; Tezer, Azime

doi:10.1016/j.ecolecon.2021.107192

Cited by 14 publications

(4 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The lack of the price tag and the absence of a trading market result in the difficulty in the evaluation of this non-market benefit ( Huhtala, 2017 ; Lavee and Menachem, 2018 ). The revealed and stated preference methods are two main methods, which are used for the evaluation of non-market benefits ( Cetin et al, 2021 ; Jala and Nandagiri, 2015 ; Pueyo-Ros et al, 2018 ). Among them, travel cost method (TCM) is widely used to analyse the real behaviour of respondents, which is a classic method for assessing the value of recreational resources by adding up the consumer surplus and actual travel expenses of consumers ( Li et al, 2009 ; Xu and He, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

The impact of COVID-19 on the value of coastal recreational resource from the perspective of recreational behaviour change: Evident from China

Wang

et al. 2023

Ocean & Coastal Management

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

The impact of COVID-19 on the value of coastal recreational resource from the perspective of recreational behaviour change: Evident from China

Wang

et al. 2023

Ocean & Coastal Management

View full text Add to dashboard Cite

“…There are generally two ways to quantify the ESVs [ 8 ]: one is based on the unit price of ecological products, using the shadow engineering method, market price method, carbon tax method, and other methods to calculate the ESVs [ 9 , 10 , 11 , 12 ]. This method has high data requirements, complex calculations, and thus a unified and versatile evaluation standard is difficult to achieve.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variation and Driving Forces Analysis of Eco-System Service Values: A Case Study of Sichuan Province, China

Shao

Xian

2022

IJERPH

View full text Add to dashboard Cite

Sichuan Province is an important ecological barrier in the upper reaches of the Yangtze River. Therefore, it is critical to investigate the temporal and spatial changes, as well as the driving factors, of ecosystem service values (ESVs) in Sichuan Province. This paper used land use data from 2000, 2005, 2010, 2015, and 2020 to quantify the spatiotemporal changes in the ESVs in Sichuan Province. Correlation coefficients and bivariate spatial autocorrelation methods were used to analyze the trade-offs and synergies of ESVs in the city (autonomous prefecture) and grid scales. At the same time, we used a Geographical Detector model (GDM) to explore the synergies between nine factors and ESVs. The results revealed that: (1) In Sichuan Province, the ESVs increased by 0.77% from 729.26 × 109 CNY in 2000 to 741.69 × 109 CNY in 2020 (unit: CNY = Chinese Yuan). Furthermore, ecosystem services had a dynamic degree of 0.13%. Among them, the ESVs of forestland were the highest, accounting for about 60.59% of the total value. Among the individual ecosystem services, only food production, environmental purification, and soil conservation decreased in value, while the values of other ecosystem services increased. (2) The ESVs increased with elevation, showing a spatial distribution pattern of first rising and then decreasing. The high-value areas of ESVs per unit area were primarily distributed in the forestland of the transition area between the basin and plateau; The low-value areas were distributed in the northwest, or the urban areas with frequent human activities in the Sichuan Basin. (3) The tradeoffs and synergies between multi-scale ecosystems showed that ecosystem services were synergies-dominated. As the scale of research increased, the tradeoffs between ecosystems gradually transformed into synergies. (4) The main driving factors for the spatial differentiation of ESVs in Sichuan Province were average annual precipitation, average annual temperature, and gross domestic product (GDP); the interaction between normalized difference vegetation index (NDVI) and GDP had the strongest driving effect on ESVs, generally up to 30%. As a result, the distribution of ESVs in Sichuan Province was influenced by both the natural environment and the social economy. The present study not only identified the temporal and spatial variation characteristics and driving factors of ESVs in Sichuan Province, but also provided a reference for the establishment of land use planning and ecological environmental protection mechanisms in this region.

show abstract

“…This theoretical approach, based on the principle that all goods have their own features or attributes, takes into account the utility (i.e., the level of satisfaction) provided by each attribute associated with the consumption of given quantities of the goods (Monica et al, 2008;Baker and Ruting, 2014). Generally, value estimation models make use of direct or stated preferences such as contingent valuation (Champ et al, 2005;Tao et al, 2012;Cook et al, 2020) and choice experiment approaches (Scarpa et al, 2007;Shen et al, 2015;Alcon et al, 2020;Andrews et al, 2021;Ureta et al, 2021) and indirect or revelated preferences such as hedonic price (Lansford and Jones, 1995;Sander and Haight, 2012;Catma, 2020;Moore et al, 2020), travel cost (Alberini and Longo, 2006;Bertram and Larondelle, 2017;Cetin et al, 2021;Mäntymaa et al, 2021), and defensive expenditure models (Costanza et al, 2008;Zhang and Mu, 2018;Akmal and Jamil, 2021).…”

Section: Introductionmentioning

confidence: 99%

On the investigation of an economic value for forest ecosystem services in the past 30 years: Lessons learnt and future insights from a North–South perspective

Pisani

Lucia

Pazienza

2022

Front. For. Glob. Change

View full text Add to dashboard Cite

Since the publication of the Millennium Ecosystem Assessment, the research of ecosystem services valuation has seen an exponential growth with a consequent development, improvement, and spread of different qualitative and quantitative methods. The interest is due to the benefits that ecosystem services provide for human wellbeing. A large part of ecosystem services is provided by the so-called forest ecosystem services (FES) in both protected and non-protected areas. The aim of the present study is to investigate key variables driving the FES value at the global level. These include, other than socio-economic information, the ecosystem services' quality condition and the location of the study. The research uses a meta-regression of 478 observations from 57 studies in the time span 1992–2021 retrieved from the online Ecosystem Service Valuation Database (ESVD). The main results show that both the ES quality condition and spatial aspect are relevant factors in determining the estimated value of FES, suggesting the existence of a difference in the forest value from a North-South perspective. The investigation of an economic assessment of FES is advised as a key research trend in the immediate future. This allows to close the gap between the global North and South and favors the implementation of adequate socio-economic and environmental governance for an efficient forest management.

show abstract

Travel-cost method for assessing the monetary value of recreational services in the Ömerli Catchment

Cited by 14 publications

References 46 publications

The impact of COVID-19 on the value of coastal recreational resource from the perspective of recreational behaviour change: Evident from China

The impact of COVID-19 on the value of coastal recreational resource from the perspective of recreational behaviour change: Evident from China

Spatiotemporal Variation and Driving Forces Analysis of Eco-System Service Values: A Case Study of Sichuan Province, China

On the investigation of an economic value for forest ecosystem services in the past 30 years: Lessons learnt and future insights from a North–South perspective

Contact Info

Product

Resources

About