IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2023_25.html
   My bibliography  Save this paper

A proposed of ecosystem valuation approach for river using Contingent Valuation

Author

Listed:
  • Muhammad Najib Razali
  • Muaz Muzir
  • Muhammad Yusaimi Hamid
  • Rohaya Abdul Jalil

Abstract

This study attempts to propose ecosystem valuation approach for river by using contingent valuation. This study offers a thorough yet straightforward and useful framework for valuing ecosystem products and services. In addition, this study provides a survey based on contingent valuation methodology for estimating the non-use benefits of Malaysia's Johor River's improvement in ecosystem services. As far as the literature review is concerned this will be the first study of such kind in Malaysia. This study is also unique because it will utilise the freely available satellite data and advanced image classification technique of deep learning to classify different land use types. This study combineD economic valuation of ecosystem services to better highlight the importance of ecosystem services. The study findings on spatial and temporal distribution of ecosystem services can help guide future land-use policy i.e development of appropriate land use options and water resources management to enhance ecosystem services.

Suggested Citation

  • Muhammad Najib Razali & Muaz Muzir & Muhammad Yusaimi Hamid & Rohaya Abdul Jalil, 2023. "A proposed of ecosystem valuation approach for river using Contingent Valuation," ERES eres2023_25, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2023_25
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2023-25
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Contingent Valuation; ecosystem; Malaysia; River;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arz:wpaper:eres2023_25. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.