Evaluation of National Environmental Efficiency Under Uncertainty Using Data Envelopment Analysis

Evangelos Grigoroudis () and Konstantinos Petridis
Additional contact information
Evangelos Grigoroudis: Technical University of Crete
Konstantinos Petridis: Technical University of Crete

A chapter in Understanding Risks and Uncertainties in Energy and Climate Policy, 2019, pp 161-181 from Springer

Abstract: Abstract The evaluation of environmental practices of each country is a very interesting area which has recently gained significant attention. An analysis, which can provide results for comparisons among countries with different economies, is data envelopment analysis. In this chapter, countries’ environmental efficiency is estimated using data envelopment analysis. Applying a slack-based model under the consideration of constant returns to scale and variable returns to scale technologies, a composite index is calculated from the efficiency scores of each model. These models consider both desirable and undesirable outputs. However, especially for undesirable outputs, the data collected are not accurate and could potentially be subject to uncertainty. To handle the uncertainty in the undesirable data, a chance-constraint DEA model is applied. Results of the deterministic model show that Australia gathers high values of environmental efficiency. However, in the presence of noise in the undesirable data, the rankings of the countries change.

Keywords: Environmental efficiency; Environmental evaluation; Environmental economics; Data envelopment analysis; Slack-based models; Composite index (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (3)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:sprchp:978-3-030-03152-7_7

Ordering information: This item can be ordered from
http://www.springer.com/9783030031527

DOI: 10.1007/978-3-030-03152-7_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().