IDEAS home Printed from
   My bibliography  Save this paper

Probabilistic Approaches to Cleaning the Ganges in Varanasi to Attract Tourists


  • Batabyal, Amitrajeet
  • Beladi, Hamid


We study two probabilistic approaches to cleaning the Ganges river when the underlying goal is to use the cleanup to sustain tourism in Varanasi, India. The first approach models the idea that because resources are scarce and cleanup is costly, not all pollutants in the Ganges can be removed. Therefore, a cleaning agency first establishes a benefit-cost ratio rule and then it uses this rule to remove from the Ganges only those pollutants whose removal satisfies the ratio rule. In contrast, the second approach focuses on removing all pollutants from the Ganges but the emphasis now is on the frequency of cleanup given that pollutants accumulate temporally and hence water quality deteriorates over time. Finally, we compare and contrast these two approaches and discuss the connections between the two approaches and the sustainability of tourism in Varanasi.

Suggested Citation

  • Batabyal, Amitrajeet & Beladi, Hamid, 2018. "Probabilistic Approaches to Cleaning the Ganges in Varanasi to Attract Tourists," MPRA Paper 86649, University Library of Munich, Germany, revised 11 Apr 2018.
  • Handle: RePEc:pra:mprapa:86649

    Download full text from publisher

    File URL:
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    1. repec:kap:atlecj:v:45:y:2017:i:4:d:10.1007_s11293-017-9561-7 is not listed on IDEAS
    2. Tai, Meng-Yi & Chao, C.C. & Lu, Lee-Jung & Hu, Shih-Wen & Wang, Vey, 2016. "Land conservation, growth and welfare," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 102-110.
    3. Amitrajeet A. Batabyal & Hamid Beladi, 2017. "Cleaning the Ganges in Varanasi to Attract Tourists," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 45(4), pages 511-513, December.
    4. Markandya, A. & Murty, M.N., 2004. "Cost benefit analysis of cleaning the Ganges: some emerging environment and development issues," Environment and Development Economics, Cambridge University Press, vol. 9(01), pages 61-81, February.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Cleanup; Ganges River; Tourism; Uncertainty; Varanasi;

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:pra:mprapa:86649. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter) or (Rebekah McClure). General contact details of provider: .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.