Redeploying coal workers: field level challenges and transition alternatives

Dinabandhu Bag ()
Additional contact information
Dinabandhu Bag: NIT

Mineral Economics, 2024, vol. 37, issue 4, No 17, 985-993

Abstract: Abstract As of 2020, coal mines had created about 7.25 lakh direct coal jobs and number of indirect jobs in India. However, coal workers are at livelihood risk in India and would be out of jobs in few years. Adequate emphasis on skill based re-employment plans to generate suitable alternate livelihood for the miners is desired. This paper identifies open-cast clusters, arrives at potential job losses, and targets workers to suggest field-level rehabilitation challenges. It uses socio-geo-operational performance indicators to highlight the sub-optimal use of land, number of coal jobs to production, land use to rural population, coal jobs to land use, etc. We formulate a deployment matrix and highlight the employee-specific, location-specific, and market-specific factors for implementing rehabilitation framework for the transitioning coal miners.

Keywords: Reskilling; Rehabilitation; Redundancy; Socio-geo-performance (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13563-023-00398-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:minecn:v:37:y:2024:i:4:d:10.1007_s13563-023-00398-8

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13563

DOI: 10.1007/s13563-023-00398-8

Access Statistics for this article

Mineral Economics is currently edited by Magnus Ericsson and Patrik Söderholm

More articles in Mineral Economics from Springer, Raw Materials Group (RMG), Luleå University of Technology
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().