Assessing the non-commercial values of environmental resources by using CVM; Case study: Siberian Crane, Fereydounkenar international wetland of Iran

Document Type : Research paper


1 Department of Environmental Planning, Management and Education, School of Environment, College of Engineering, University of Tehran, Tehran, Iran

2 Department of Environment, Damavand Branch, Islamic Azad Univercity, Damavand, Iran


Natural recourses play a significant role in human's well being but economists' attention is mostly taken only on the marketable value but nowadays the tends, is changing as economic Valuation intends to create outstanding changes in public awareness by the valuation of biological resources like aquatic and land habitats of plant and animal and also to create a stronger motive for protection because as everybody knows free goods do not worth so different methods have been innovated and researchers have been studied in this way. These researches had made considerable progress in the valuation of environmental and ecological services, which was afforded by ecosystems. Contingent Valuation Method (CVM) is one of economic valuation tools, is based on public viewpoints, measures of individual’s willingness to pay (WTP)2 and individual’s willingness to accept (WTA)3 and maximum likelihood (ML)4 application. The result of a study on a measure of WTP shows that about 93% of the people are ready to pay monthly for  protection and survival of Siberian Crane and only 7 % of them were not ready to pay only because of their low financial level. Results on the measure of WTA indicate that all 100% of people were not ready to accept money instead of annihilation of the Crane. The average willingness to pay for Siberian Crane protection is accounted 231723$ at the national zone and 57914270$ at the regional zone. Since the fisher test does not respond at the national zone and the difference was significant, extending the number of the samples to the national zone is impossible. It is merely possible to mention that about 1500 families in the country are ready to pay 40,000RLs monthly or 72,000,000 RLs annually only for the survival of Siberian Crain.

Graphical Abstract

Assessing the non-commercial values of environmental resources by using CVM; Case study: Siberian Crane, Fereydounkenar international wetland of Iran


  • Through the involvement of local, conditional assessment (CVM) was considered as an economic evaluation and main modeling approach for this study.
  • This study focuses on assessing social acceptability for biodiversity conservation In particular Siberian Crane.
  • The gender, education and age level of Respondents have the positive influence on WTP and WTA.
  • Three categories of non-use value indicators, was presented to quantify using CVM approach.


Main Subjects

Breitenmoser, U., Alizadeh, A., Breitenmoser-Würsten, C., 2009. Conservation of the Asiatic cheetah, its natural habitat and associated biota in the IR of Iran. Project Number IRA/00/G35 Terminal Evaluation Report. Bern.
Carson, R.T., 2000. Contingent valuation: a user's guide. Environ. Sci. Technol., 34(8), 1413–1418.
Duffield, J.W., Patterson, D.A., 1991. Inference and optimal design for a welfare measure in dichotomous choice contingent valuation. Land Econ., 67(2), 225-239.
Hadker, N., Sharma, S., David, A., Muraleedharan, T.R., 1997. Willingness-to-pay for Borivli National Park: evidence from a contingent valuation. Ecol. Econ., 21(2), 105-122.
Hoehn, J.P., Randall, A., 1987. A satisfactory benefit cost indicator from contingent valuation. J. Environ. Econ. Manag., 14(3), 226-247.
Maghsood, F.F., Moradi, H., Berndtsson, R., Panahi, M., Daneshi, A., Hashemi, H., Bavani, A.R.M., 2019. Social acceptability of flood management strategies under climate change using contingent valuation method (CVM). Sustainability, 11(18), 5053.
Marshall, J., Davison, A.J., Kopf, R.K., Boutier, M., Stevenson, P., Vanderplasschen, A., 2018. Biocontrol of invasive carp: risks abound. Science, 359(6378), 877.
CrossRef    Google Scholar    full-text PDF    Mendeley    PubMed   
Mudrik, E.A., Kashentseva, T.A., Postelnykh, K.A., Nosachenko, G.V., Politov, D.V., 2014. Genetic diversity and relatedness in different generations of the Siberian crane (Grus leucogeranus Pallas) captive population. Russ. J. Genet., 50(11), 1192-1199.
CrossRef    Google Scholar    full-text PDF    Mendeley    PubMed   
Roche, M.Y., Mourato, S., Fischedick, M., Pietzner, K., Viebahn, P., 2010. Public attitudes towards and demand for hydrogen and fuel cell vehicles: A review of the evidence and methodological implications. Energy Policy, 38(10), 5301-5310.
Shang, Z., Che, Y., Yang, K., Jiang, Y., 2012. Assessing local communities’ willingness to pay for river network protection: A contingent valuation study of Shanghai, China. Int. J. Environ. Res. Public Health, 9(11), 3866-3882.
Song, Q., Wang, Z., Li, J., 2012. Residents' behaviors, attitudes, and willingness to pay for recycling e-waste in Macau. J. Environ. Econ. Manag., 106, 8-16.
CrossRef    Google Scholar    full-text PDF    Mendeley    PubMed   
Song, Q., Wang, Z., Li, J., 2016. Exploring residents’ attitudes and willingness to pay for solid waste management in Macau. Environ. Sci. Pollut. Res., 23(16), 16456-16462.
Tussupova, K., Berndtsson, R., Bramryd, T., Beisenova, R., 2015. Investigating willingness to pay to improve water supply services: application of contingent valuation method. Water, 7(6), 3024-3039.
Wang, W., Fraser, J.D., Chen, J., 2017. Wintering waterbirds in the middle and lower Yangtze River floodplain: changes in abundance and distribution. Bird Conserv. Int., 27(2), 167-186.
Zhang, Y., Yu, Y., Zou, B., 2011. Analyzing public awareness and acceptance of alternative fuel vehicles in China: the case of EV. Energy Policy, 39(11), 7015-7024.
Zhu, L., Song, Q., Sheng, N., Zhou, N., 2019. Exploring the determinants of consumers’ WTB and WTP for electric motorcycles using CVM method in Macau. Energy Policy, 127, 67-72.
Zou, L., Hu, B., Qi, S., Zhang, Q., Ning, P., 2021. Spatiotemporal Variation of Siberian Crane Habitats and the Response to Water Level in Poyang Lake Wetland, China. Remote Sens., 13(1), 140.