The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Indicators of Dematerialization and the Materials Intensity of Use
Abstract
Summary: We review the major empirical analyses of the related concepts of dematerialization and intensity of use. Dematerialization refen to the absolute or relative reduction in the quantity of materials used and/or the quantity of waste generated in the production of a unit of economic output A common indicator is the intensity of material use, which is the quantity of material used per unit of economic output. Our discussion focuses on seven topics: the environmental Kuznets curve for materials, material use and long wave theory material decomposition analysis, statistical, inpuboutput and dynamic models of material use, and analyses of national material use. We examine the measurement of aggregate material use and waste emissions, hypothesis testing, the importance of imports, and forces that countervail dematerialization such as rising affluence and the “rebound effect.” We conclude that: our knowledge of the extent of and mechanisms behind the patterns of material use are limited largely to individual materials or very specific industries, and most of those examples are metals; the economy is getting “lighter” but the aggregate economic significance of that trend, if any, is unknown; there is no compelling macroeconomic evidence that the US. economy is “decoupled” from material inputs; and we know even less about the net environmental effects of many changes in materials use. We caution against gross generalizations about material use, particularly the “gut” feeling that technical change, substitution, and a shift t o the “information age” inexorably lead to decreased materials intensity and reduced environmental impact. We end with some suggestions for research that may help answer these important questions.
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.
Integrity signals
Registry
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.
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
Cites
CRC Handbook of Chemistry and Physics
(2014) · doi:10.1201/b17118 · Cited by 57,706
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
Dickey, D. A., & Fuller, W. A. (1979) · Journal of the American Statistical Association · doi:10.1080/01621459.1979.10482531 · Cited by 23,211
Economic growth and the environment
Grossman, G. M., & Krueger, A. B. (1995) · The Quarterly Journal of Economics · doi:10.2307/2118443 · Cited by 9,901
CRC Handbook of Chemistry and Physics
P, D. (1992) · Journal of Molecular Structure · doi:10.1016/0022-2860(92)85083-s · Cited by 9,329
Distribution of the Estimators for Autoregressive Time Series With a Unit Root
Dickey, D. A., & Fuller, W. A. (1979) · Journal of the American Statistical Association · doi:10.2307/2286348 · Cited by 9,106
Economic Growth and Income Inequality
Kuznets, S. (2019) · The Gap between Rich and Poor · doi:10.4324/9780429311208-4 · Cited by 8,064
Spurious regressions in econometrics
Granger, C. W. J., & Newbold, P. (1974) · Journal of Econometrics · doi:10.1016/0304-4076(74)90034-7 · Cited by 6,200
Nature's Services: Societal Dependence on Natural Ecosystems
Pharo, E., & Daily, G. C. (1998) · The Bryologist · doi:10.2307/3244191 · Cited by 5,261
Meadows, D. H., Randers, J., & Meadows, D. L. (2017) · The Future of Nature · doi:10.12987/9780300188479-012 · Cited by 5,035
Applied econometric time series
(1995) · Journal of Macroeconomics · doi:10.1016/0164-0704(95)80068-9 · Cited by 4,336
Cited by
Haberl, H., Wiedenhofer, D., Virág, D., Kalt, G., Plank, B., Brockway, P., Fishman, T., Hausknost, D., Krausmann, F., Leon-Gruchalski, B., et al. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab842a · Cited by 909
Returning forests analyzed with the forest identity
Kauppi, P. E., Ausubel, J. H., Fang, J., Mather, A. S., Sedjo, R. A., & Waggoner, P. E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0608343103 · Cited by 391
The sufficiency strategy: Would rich-world frugality lower environmental impact?
Alcott, B. (2008) · Ecological Economics · doi:10.1016/j.ecolecon.2007.04.015 · Cited by 288
Environmental Impacts of the Emerging Digital Economy: The E-for-Environment E-Commerce?
SUI, D. Z., & REJESKI, D. W. (2002) · Environmental Management · doi:10.1007/s00267-001-0027-x · Cited by 175
Modelling of materials policies
Gielen, D. J., & Moriguchi, Y. (2002) · Environmental Modeling & Assessment · doi:10.1023/a:1020962804172 · Cited by 5
Metadata
- Authors
- Cleveland, C. J., & Ruth, M.
- Venue
- Journal of Industrial Ecology
- Published
- 1998-07
- Volume
- 2
- Issue
- 3
- Pages
- 15-50
- ISSN
- 1088-1980 (ISSN-L)
- 1530-9290
- OpenAlex
- W2033335023
- Cited by
- 269
- References
- 73
- FWCI
- 12.96
- Type
- journal article
- Language
- en
- Open access
- closed
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: Indicators of Dematerialization and the Materials Intensity of Use. https://app.cochat.ai/papers/10.1162/jiec.1998.2.3.15
- The paper
- Cleveland, C. J., & Ruth, M. (1998). Indicators of Dematerialization and the Materials Intensity of Use. Journal of Industrial Ecology. https://doi.org/10.1162/jiec.1998.2.3.15
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.