Decision-making tools for public productivity improvement
A comparison of DEA to cost-benefit and regression analyses(1)
Bibliographic Data
| ID | 20201355 |
|---|---|
| Authors | Patria De Lancer Julnes (Utah State University, corresponding author) |
| Year | 2000 |
| Volume | 12 |
| Issue | 4 |
| Pages | 625-648 |
| Publication date | 2000-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Public Budgeting Accounting & Financial Management (JOURNAL) |
| Journal identifiers | ISSN: 1096-3367 • E-ISSN: 1945-1814 |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/jpbafm-12-04-2000-b006 |
| OpenAlex | W2413097516 |
| Language | EN |
| References cited | 16 |
The long tradition in the public sector of introducing decision-making tools that then fail to live up to expectations has fueled a debate over the proper role of government. This paper suggests that the debate over government productivity may be misplaced. Public productivity may be hindered as a result of inappropriate use of decisionmaking tools for the allocation of resources. Thus, this paper argues for an enlarged repertoire of decision-making techniques. In particular, data envelopment analysis (DEA) is presented as an alternative often more appropriate than such commonly used techniques as cost-benefit ratio and regression analyses
Business · Data envelopment analysis · Economic growth · Economics · Economy · Management science · Operations research · Productivity · Public economics · Public sector · Regression · Regression analysis · Statistics · Computer Science · Efficiency Analysis Using DEA · Engineering · Fiscal Policy and Economic Growth · Mathematics · Monetary Policy and Economic Impact
| Citation velocity | historical |
|---|---|
| Highly cited | No |