The DOI matches its Crossref record.
Separating the Changing Composition of U.S. Manufacturing Production from Energy Efficiency Improvements: A Divisia Index Approach
Abstract
The demand for energy is normally broken down into five sectors: industry, utilities, the residential sector, the commercial sector, and transportation. Industry is the most heterogeneous of these with manufacturing accounting for about 80 percent of total industrial energy demand. Manufacturing is itself a very heterogeneous collection of production activities. As defined by the Standard Industrial Classification (SIC) method of the U.S. Department of Commerce, there were 448 manufacturing sectors in 1972.
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
Cited by
A survey of index decomposition analysis in energy and environmental studies
Ang, B. W., & Zhang, F. Q. (2000) · Energy · doi:10.1016/s0360-5442(00)00039-6 · Cited by 1,255
Structural Decomposition Analysis of Physical Flows in the Economy
Hoekstra, R., & van den Bergh, J. C. J. M. (2002) · Environmental and Resource Economics · doi:10.1023/a:1021234216845 · Cited by 259
Who will win the green race? In search of environmental competitiveness and innovation
Fankhauser, S., Bowen, A., Calel, R., Dechezleprêtre, A., Grover, D., Rydge, J., & Sato, M. (2013) · Global Environmental Change · doi:10.1016/j.gloenvcha.2013.05.007 · Cited by 204
Metadata
- Authors
- Boyd, G., McDonald, J. F., Ross, M., & Hanson, D. A.
- Venue
- The Energy Journal
- Publisher
- SAGE Publications
- Published
- 1987-04
- Volume
- 8
- Issue
- 2
- Pages
- 77-96
- ISSN
- 0195-6574 (ISSN-L)
- 1944-9089
- OpenAlex
- W2046267962
- Cited by
- 237
- References
- 0
- FWCI
- 5.31
- 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: Separating the Changing Composition of U.S. Manufacturing Production from Energy Efficiency Improvements: A Divisia Index Approach. https://app.cochat.ai/papers/10.5547/issn0195-6574-ej-vol8-no2-6
- The paper
- Boyd, G., McDonald, J. F., Ross, M., & Hanson, D. A. (1987). Separating the Changing Composition of U.S. Manufacturing Production from Energy Efficiency Improvements: A Divisia Index Approach. The Energy Journal. https://doi.org/10.5547/issn0195-6574-ej-vol8-no2-6
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.
