IDEAS home Printed from https://ideas.repec.org/a/asi/ajosrd/v10y2020i1p379-391id2039.html
   My bibliography  Save this article

Economic Analysis of High-Density Apple Plantation Scheme in Jammu and Kashmir

Author

Listed:
  • Bakhtaver Hassan
  • Mahua Bhattacharjee
  • Shabir A Wani

Abstract

This paper evaluates the performance of the high-density apple plantation scheme, launched in 2016 in Jammu & Kashmir, India to boost both productivity and production of apples, amidst the stagnancy witnessed in the sector. Primary data was collected from apple farmers in two districts, Kulgam and Pulwama. The qualitative techniques were used to estimate the yield, establishment cost, and break-even year of the different orchard densities. Multiple Regression Analysis and multivariate statistical techniques were used for yield-forecasting and estimation of Net Present Value and Internal Rate of Return respectively. The results show that the yield has increased by two-five times than the traditional orchards. Break-even year for different densities without government was found to be 6-years while with government support it went down to just 4-5 years. Net Present Value and Internal Rate of Return, further substantiate high-profitability and early returns in these orchards. Further, it was concluded that the government subsidy provides significant support to the farmers in two main densities - 2200trees/hectare and 3300trees/hectare. Thus, the government should broaden the scheme and make it more inclusive for the overall development of the sector.

Suggested Citation

  • Bakhtaver Hassan & Mahua Bhattacharjee & Shabir A Wani, 2020. "Economic Analysis of High-Density Apple Plantation Scheme in Jammu and Kashmir," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society, vol. 10(1), pages 379-391.
  • Handle: RePEc:asi:ajosrd:v:10:y:2020:i:1:p:379-391:id:2039
    as

    Download full text from publisher

    File URL: https://archive.aessweb.com/index.php/5005/article/view/2039/3256
    Download Restriction: no
    ---><---

    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:asi:ajosrd:v:10:y:2020:i:1:p:379-391:id:2039. 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: Robert Allen (email available below). General contact details of provider: https://archive.aessweb.com/index.php/5005/ .

    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.