IDEAS home Printed from https://ideas.repec.org/a/eme/ijsepp/v40y2013i12p1041-1057.html
   My bibliography  Save this article

Determinants of occupational choice of workers in the handloom industry in Assam

Author

Listed:
  • Alin Borah Bortamuly
  • Kishor Goswami
  • Bhabesh Hazarika

Abstract

Purpose - – The purpose of this paper is to focus on the determinants of occupational choice of workers in the handloom industry in Assam and to examine the variables that influence the occupational choice of the workers. Design/methodology/approach - – Primary data were collected from nine handloom concentrated districts in Assam. Multinomial and binary logistic regression models are used to analyse the data of three mutually exclusive occupations of workers namely owners, weavers, and reelers. Findings - – The results from the tested empirical model show that annual income, education, access to modern technology, and family size are the significant variables that help in transforming the reelers to owners. Similarly, annual income, education, and access to formal credit are the important variables that help in transforming the reelers to weavers. Access to modern technology appears as the most important factor in the occupational shift from weavers to handloom owners. Research limitations/implications - – Present study has some limitations. It considers only a few variables related to economic and socio-demographic issues. There is further scope of research incorporating more variables such as personal savings, healthcare facilities, availability of hank yarn, marketing facilities, etc. Limitation of data in the worker category helper is another finding constraint. Practical implications - – Such studies in the handloom sector in Assam are limited and thus the present study greatly extends the understanding of the occupational choice of the workers in Assam's handloom industry. Originality/value - – Previous studies on handloom industry concentrated predominantly on the economic condition of the workers using mostly multiple regression technique. The present study deviates from normal research by using multinomial and binomial logistic regressions, which analyse the likelihood of occupational shift of the workers. The findings can be generalized to other handicraft-based small industry.

Suggested Citation

  • Alin Borah Bortamuly & Kishor Goswami & Bhabesh Hazarika, 2013. "Determinants of occupational choice of workers in the handloom industry in Assam," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 40(12), pages 1041-1057, October.
  • Handle: RePEc:eme:ijsepp:v:40:y:2013:i:12:p:1041-1057
    DOI: 10.1108/IJSE-03-2012-0042
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/IJSE-03-2012-0042/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/IJSE-03-2012-0042/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/IJSE-03-2012-0042?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hazarika, Bhabesh, 2017. "Decomposition of Gender Income Gap in Rural Informal Micro-enterprises: An Unconditional Quantile Approach in the Handloom Industry," Working Papers 17/216, National Institute of Public Finance and Policy.
    2. Hazarika, Bhabesh & Bezbaruah, Madhurjya Prashad & Goswami, Kishor, 2016. "Adoption of modern weaving technology in the handloom micro-enterprises in Assam: A Double Hurdle approach," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 344-356.

    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:eme:ijsepp:v:40:y:2013:i:12:p:1041-1057. 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: Emerald Support (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.