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Users and Non-users of Wetland Area; Willingness to Pay and Demand Elasticity

Author

Listed:
  • Sara Kaffashi
  • Mad Shamsudin
  • Alias Radam
  • Khalid Rahim
  • Mohd Yacob

Abstract

The present paper uses error component model to elicit respondents preferences and willingness to pay (WTP) for wetland conservation. The main objective of this research was to estimate the difference between preferences and WTP of respondents who are users of wetland and those who consider as non-users. The results of structural equation modelling (SEM) and error component logit model (ECM) showed significant difference between WTP and attitudinal factors of two groups. The results of SEM indicated that respondents’ management concerns, income, and their employment status had positive and direct effect on their WTP. Results of ECM showed that user model is slightly better predictor of respondents’ choice. The non-market values of the wetland for users are estimated approximately US$ 3.67 per household per month meanwhile this value for nonusers was about US$ 2.80. The overall results indicated that familiarity and previous knowledge on wetland has significant effect on respondnets’ perception, attitudes and WTP. Results also showed that demand for better conservation and management of wetland is relatively price inelastic. This study conclude that improvement in Shadegan International Wetland management will bring higher utility for both users and nonusers society and hence will be supported by them.

Suggested Citation

  • Sara Kaffashi & Mad Shamsudin & Alias Radam & Khalid Rahim & Mohd Yacob, 2015. "Users and Non-users of Wetland Area; Willingness to Pay and Demand Elasticity," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 8(8), pages 1-56, August.
    • Handle: RePEc:ibn:jsd123:v:8:y:2015:i:8:p:56
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    References listed on IDEAS

    as
    1. Manski, Charles F & Lerman, Steven R, 1977. "The Estimation of Choice Probabilities from Choice Based Samples," Econometrica, Econometric Society, vol. 45(8), pages 1977-1988, November.
    2. David Oglethorpe & Despina Miliadou, 2000. "Economic Valuation of the Non-use Attributes of a Wetland: A Case-study for Lake Kerkini," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 43(6), pages 755-767.
    3. John Pattison & Peter C. Boxall & Wiktor L. Adamowicz, 2011. "The Economic Benefits of Wetland Retention and Restoration in Manitoba," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 59, pages 223-244, June.
    4. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    5. Westerberg, Vanja Holmquist & Lifran, Robert & Olsen, Søren Bøye, 2010. "To restore or not? A valuation of social and ecological functions of the Marais des Baux wetland in Southern France," Ecological Economics, Elsevier, vol. 69(12), pages 2383-2393, October.
    6. Rafia Afroz & Rabaah Tudin & Keisuke Hanaki & Muhammad Mehedi Masud, 2011. "Selected socio-economic factors affecting the willingness to minimise solid waste in Dhaka city, Bangladesh," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(6), pages 711-731.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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