On selecting directions for directional distance functions in a non-parametric framework: A review
Ke Wang (),
Yi-Ming Wei () and
No 99, CEEP-BIT Working Papers from Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology
Directional distance function (DDF) has been a commonly used technique for estimating efficiency and productivity over the past two decades, and the directional vector is usually predetermined in the applications of DDF. The most critical issue of using DDF remains that how to appropriately project the inefficient decision-making unit (DMU) onto the production frontier along with a justified direction. This paper provides a comprehensive literature review on the techniques for selecting directional vector of the directional distance function. It begins with a brief introduction of the existing methods around the inclusion of the exogenous direction techniques and the endogenous direction techniques. The former commonly includes arbitrary direction and conditional direction techniques, while the latter involves the techniques for seeking theoretically optimized directions (i.e., direction towards the closest benchmark or indicating the largest efficiency improvement potential) and market-oriented directions (i.e., directions towards cost minimization, profit maximization, or marginal profit maximization benchmarks). The main advantages and disadvantages of these techniques are summarized, and the limitations inherent in the exogenous direction-selecting techniques are discussed. It also analytically argues the mechanism of each endogenous direction technique. The literature review is end up with a numerical example of efficiency estimation for power plants, in which most of the reviewed directions for DDF are demonstrated and their evaluation performance are compared.
Keywords: Data Envelopment Analysis (DEA); Least distance; Endogenous mechanism; Cost efficiency; Profit efficiency; Marginal profit maximization (search for similar items in EconPapers)
JEL-codes: Q54 Q40 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm and nep-eff
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5) Track citations by RSS feed
Downloads: (external link)
Journal Article: On selecting directions for directional distance functions in a non-parametric framework: a review (2019)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:biw:wpaper:99
Access Statistics for this paper
More papers in CEEP-BIT Working Papers from Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology Contact information at EDIRC.
Bibliographic data for series maintained by Zhi-Fu Mi ().