Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 556

The DOI matches its Crossref record.

Measuring Eco‐efficiency of Production with Data Envelopment Analysis

Open access
Kuosmanen, Timo, Kortelainen, Mika·2005·Journal of Industrial Ecology

Abstract

Summary: Aggregation of environmental pressures into a single environmental damage index is a major challenge of eco‐efficiency measurement. This article examines how the data envelopment analysis (DEA) method can be adapted for this purpose. DEA accounts for substitution possibilities between different natural resources and emissions and does not require subjective judgment about the weights. Although DEA does not require subjective or normative judgment, soft weight restrictions can be incorporated into the framework. The proposed approach is illustrated by an application to assessing ecoefficiency of road transportation in the three largest towns of eastern Finland.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1162/108819805775247846

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 556

Metadata

Authors
Kuosmanen, T., & Kortelainen, M.
Venue
Journal of Industrial Ecology
Published
2005-10
Volume
9
Issue
4
Pages
59-72
ISSN
  • 1088-1980 (ISSN-L)
  • 1530-9290
OpenAlex
W2151227488
Cited by
556
References
0
FWCI
11.51
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Measuring Eco‐efficiency of Production with Data Envelopment Analysis. https://app.cochat.ai/papers/10.1162/108819805775247846
The paper
Kuosmanen, T., & Kortelainen, M. (2005). Measuring Eco‐efficiency of Production with Data Envelopment Analysis. Journal of Industrial Ecology. https://doi.org/10.1162/108819805775247846

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.