The structure of production technologies with ratio inputs and outputs
Ole Bent Olesen,
Niels Christian Petersen and
Victor V. Podinovski ()
Additional contact information
Ole Bent Olesen: The University of Southern Denmark
Niels Christian Petersen: The University of Southern Denmark
Victor V. Podinovski: Loughborough University
Journal of Productivity Analysis, 2022, vol. 57, issue 3, No 2, 255-267
Abstract:
Abstract Applications of efficiency and productivity analysis in which some inputs and outputs are given in the form of percentages, averages and other types of ratio measures are sufficiently common in the literature. In two recent papers, the authors developed the variable and constant returns-to-scale technologies with both volume and ratio types of inputs and outputs, referred to as the R-VRS and R-CRS technologies. These technologies are generally nonconvex and have a complex structure. In this paper we explore this in detail. We show that the R-VRS technology can be stated as the union of a finite number of specially constructed standard VRS technologies. Similarly, the R-CRS technology in which all ratio inputs and outputs are of the fixed type, which are typically used to represent environmental and quality factors, can be stated as the union of a finite number of partial polyhedral cones. We show that these results have important theoretical, including conceptual, implications.
Keywords: C14; C61; C67; D24; Data envelopment analysis; Production technology; Polyhedral technology; Ratio inputs and outputs (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://link.springer.com/10.1007/s11123-022-00631-6 Abstract (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:kap:jproda:v:57:y:2022:i:3:d:10.1007_s11123-022-00631-6
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2
DOI: 10.1007/s11123-022-00631-6
Access Statistics for this article
Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski
More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().