IDEAS home Printed from https://ideas.repec.org/a/adm/journl/v12y2023i9p35-42.html
   My bibliography  Save this article

A Financial Cost-benefit Analysis of Forest Plantation for Restoration Program in Shan State of Myanmar

Author

Listed:
  • Aye Chan Ko Ko
  • Zhang Ying
  • Theint Theint Htun

Abstract

Understanding the costs and benefits of plantations can provide a better way for resources management in restoration area. This paper focuses on the net present value (NPV) and the internal rate of return (IRR) and benefit-cost ratio (BCR) for financial performance of the plantations. A combination of secondary information survey method and field survey method for data collection was carried out in this study. On the basis of an annual discount rate of 10%, the results indicate positive NPVs, pure teak plantation would attain the highest BCR and the acceptable NPV, but its IRR is smaller than agroforestry practice due to the discounting effect of late return over a long investment period. Pure teak plantation is found to be most profitable following by agroforestry practice (teak and turmeric) and pine plantation. From a pure financial point of view, plantations should be encouraged but its long-term productivity and adverse ecological effects have to be taken into account. It also needs systematically calculation to obtain high-quality timber in the final harvest of forest plantations, but also to obtain large volume of timber to satisfy more economic benefits. The results provide valuable information for plantation policy for the government.

Suggested Citation

  • Aye Chan Ko Ko & Zhang Ying & Theint Theint Htun, 2023. "A Financial Cost-benefit Analysis of Forest Plantation for Restoration Program in Shan State of Myanmar," International Journal of Sciences, Office ijSciences, vol. 12(09), pages 35-42, September.
  • Handle: RePEc:adm:journl:v:12:y:2023:i:9:p:35-42
    DOI: 10.18483/ijSci.2723
    as

    Download full text from publisher

    File URL: https://www.ijsciences.com/pub/article/2723
    Download Restriction: no

    File URL: https://www.ijsciences.com/pub/pdf/V122023092723.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.18483/ijSci.2723?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ying, Zhang & Irland, LIoyd & Zhou, Xiaohong & Song, Yajie & Wen, Yali & Liu, Junchang & Song, Weimin & Qiu, Yang, 2010. "Plantation development: Economic analysis of forest management in Fujian Province, China," Forest Policy and Economics, Elsevier, vol. 12(3), pages 223-230, March.
    2. Aye Chan Ko Ko & Zhang Ying & Theint Theint Htun, 2017. "Study on Socioeconomic Impacts of Private Forest Plantations on Local Livelihood in Pyu Township, Taungoo District, Bago Region, Myanmar," International Journal of Sciences, Office ijSciences, vol. 6(02), pages 43-54, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiahuan Guo & Huili Feng & Jiejie Sun & Penghe Cao & Weifeng Wang & Hong Chen & Yuanchun Yu, 2019. "Application of Cloud Model to Evaluation of Forest Soil Fertility: A Case in Chinese Fir Plantations in Southern China," Sustainability, MDPI, vol. 11(22), pages 1-13, November.
    2. Salles, Thiago Taglialegna & Nogueira, Denismar Alves & Beijo, Luiz Alberto & Silva, Liniker Fernandes da, 2019. "Bayesian approach and extreme value theory in economic analysis of forestry projects," Forest Policy and Economics, Elsevier, vol. 105(C), pages 64-71.
    3. Ali Abidi, Syeda Ifrah & Noor, Junaid, 2012. "Economic Analysis of Forest Management in Pakistan - A Case Study of Changa Mange and Muree Forest," MPRA Paper 28086, University Library of Munich, Germany.
    4. Stephan Hoffmann & Dirk Jaeger & Wu Shuirong, 2018. "Adapting Chinese Forest Operations to Socio-Economic Developments: What is the Potential of Plantations for Strengthening Domestic Wood Supply?," Sustainability, MDPI, vol. 10(4), pages 1-19, April.
    5. M.R. Ullah & X.D. Liu & M. Al-Amin, 2013. "Spatial-temporal distribution of forest fires and fire weather index calculation from 2000 to 2009 in China," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 59(7), pages 279-287.
    6. Cubbage, Frederick & Kanieski, Bruno & Rubilar, Rafael & Bussoni, Adriana & Olmos, Virginia Morales & Balmelli, Gustavo & Donagh, Patricio Mac & Lord, Roger & Hernández, Carmelo & Zhang, Pu & Huang, J, 2020. "Global timber investments, 2005 to 2017," Forest Policy and Economics, Elsevier, vol. 112(C).

    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:adm:journl:v:12:y:2023:i:9:p:35-42. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Staff ijSciences (email available below). General contact details of provider: .

    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.