Empirical study of the performance of Ontario's pulp and paper mills using bootstrap data envelopment analysis

Shashi K. Shahi and Mohamed Dia

International Journal of Productivity and Quality Management, 2020, vol. 31, issue 1, 98-133

Abstract: Ontario's pulp and paper mills have been facing extreme competitive pressures due to declining markets and low-cost competition from around the world, which have affected their performance and relative technical efficiency. This study uses a non-parametric technique, bootstrap data envelopment analysis, in analysing the operational efficiency of 23 pulp and paper mills in Ontario with sample data collected over a period of 17 years (1999 to 2015). The results indicate low levels of efficiencies due to the management of operations as well as the scale of operations, especially during the economic downturns. In addition, we noticed regional differences in the operational efficiencies of these mills. These results provide comprehensive details to mill managers to reallocated future resources.

Keywords: bootstrapping; data envelopment analysis; DEA; forest industry; pulp mills; paper mills; Ontario; technical efficiency. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=109330 (text/html)
Access to full text is restricted to subscribers.

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:ids:ijpqma:v:31:y:2020:i:1:p:98-133

Access Statistics for this article

More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().