The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Human capital and energy consumption: Evidence from OECD countries
Abstract
Abstract We examine the effect of human capital on energy consumption for a panel of OECD economies over the period 1965–2014. Our preferred results, which account for cross-sectional dependence and structural breaks, suggest that a one standard deviation increase in human capital reduces aggregate energy consumption by 15.36%. When we distinguish between clean and dirty energy consumption, we find that human capital generates significant positive externalities for the environment. Specifically, we find that a one standard deviation increase in human capital is associated with a 17.33% decrease in dirty energy consumption and an 85.54% increase in clean energy consumption. Our findings reinforce the social benefits of investing in human capital and suggest a promising avenue for energy conservation without impeding economic growth.
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
Endogenous Technological Change
Romer, P. M. (1990) · Journal of Political Economy · doi:10.1086/261725 · Cited by 17,711
Endogenous Technological Change
Romer, P. (1989) · National Bureau of Economic Research · doi:10.3386/w3210 · Cited by 13,303
A simple panel unit root test in the presence of cross‐section dependence
Pesaran, M. H. (2007) · Journal of Applied Econometrics · doi:10.1002/jae.951 · Cited by 12,787
General Diagnostic Tests for Cross Section Dependence in Panels
Pesaran, M. H. (2004) · doi:10.2139/ssrn.572504 · Cited by 8,738
Testing for Error Correction in Panel Data*
Westerlund, J. (2007) · Oxford Bulletin of Economics and Statistics · doi:10.1111/j.1468-0084.2007.00477.x · Cited by 6,113
Testing for Granger non-causality in heterogeneous panels
Dumitrescu, E.-I., & Hurlin, C. (2012) · Economic Modelling · doi:10.1016/j.econmod.2012.02.014 · Cited by 5,922
Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure
Pesaran, M. H. (2006) · Econometrica · doi:10.1111/j.1468-0262.2006.00692.x · Cited by 5,078
A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems
Stock, J. H., & Watson, M. W. (1993) · Econometrica · doi:10.2307/2951763 · Cited by 5,013
The Next Generation of the Penn World Table
Feenstra, R. C., Inklaar, R., & Timmer, M. P. (2015) · American Economic Review · doi:10.1257/aer.20130954 · Cited by 4,799
Beebout, H. (1973) · American Journal of Agricultural Economics · doi:10.2307/1238690 · Cited by 4,528
Cited by
Ilkay, S. C., Yilanci, V., Ulucak, R., & Jones, K. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.113033 · Cited by 71
Metadata
- Authors
- Yao, Y., Ivanovski, K., Inekwe, J., & Smyth, R.
- Venue
- Energy Economics
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 84
- Pages
- 104534
- ISSN
- 0140-9883 (ISSN-L)
- OpenAlex
- W2981209418
- Cited by
- 348
- References
- 78
- FWCI
- 45.82
- 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: Human capital and energy consumption: Evidence from OECD countries. https://app.cochat.ai/papers/10.1016/j.eneco.2019.104534
- The paper
- Yao, Y., Ivanovski, K., Inekwe, J., & Smyth, R. (2019). Human capital and energy consumption: Evidence from OECD countries. Energy Economics. https://doi.org/10.1016/j.eneco.2019.104534
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.
