The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
What are the carbon emissions elasticities for income and population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates
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Citations
Cites
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
Spurious regression and residual-based tests for cointegration in panel data
Kao, C. (1999) · Journal of Econometrics · doi:10.1016/s0304-4076(98)00023-2 · Cited by 5,763
Estimating long-run relationships from dynamic heterogeneous panels
Pesaran, M. H., & Smith, R. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01644-f · Cited by 5,479 · cited 2×
“…heterogeneous or mean group type estimators are considered; they first estimate each group/cross-section specific regression and then average the estimated coefficients across the groups/cross-sections (standard errors are constructed nonparametrically as described in Pesaran and Smith 1995).”
BackgroundEstimation 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
Environmental Kuznets curve hypothesis: a survey
Dinda, S. (2004) · Ecological Economics · doi:10.1016/j.ecolecon.2004.02.011 · Cited by 4,106
The rise and fall of the Environmental Kuznets Curve
Stern, D. I. (2004) · World Development · doi:10.1016/j.worlddev.2004.03.004 · Cited by 4,013
Ehrlich, P. R., & Holdren, J. P. (1971) · Science · doi:10.1126/science.171.3977.1212 · Cited by 3,584
Effects of population and affluence on CO2 emissions
Dietz, T., & Rosa, E. A. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.1.175 · Cited by 1,879
The Oxford Handbook of Political Methodology
(2008) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199286546.001.0001 · Cited by 1,362
Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis
Poumanyvong, P., & Kaneko, S. (2010) · Ecological Economics · doi:10.1016/j.ecolecon.2010.09.029 · Cited by 1,260
Cited by
Identifying the spatial effects and driving factors of urban PM2.5 pollution in China
Cheng, Z., Li, L., & Liu, J. (2017) · Ecological Indicators · doi:10.1016/j.ecolind.2017.06.043 · Cited by 365
Shahzad, U. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-08349-4 · Cited by 348
Paramati, S. R., Mo, D., & Huang, R. (2021) · Finance Research Letters · doi:10.1016/j.frl.2020.101794 · Cited by 328
Consumption-based accounting and the trade-carbon emissions nexus
Liddle, B. (2018) · Energy Economics · doi:10.1016/j.eneco.2017.11.004 · Cited by 325
Self-citationCheng, Z., Li, L., & Liu, J. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.02.105 · Cited by 320
Metadata
- Authors
- Liddle, B.
- Venue
- Global Environmental Change
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 31
- Pages
- 62-73
- ISSN
- 0959-3780 (ISSN-L)
- OpenAlex
- W2002670651
- Cited by
- 297
- References
- 55
- FWCI
- 61.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: What are the carbon emissions elasticities for income and population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates. https://app.cochat.ai/papers/10.1016/j.gloenvcha.2014.10.016
- The paper
- Liddle, B. (2015). What are the carbon emissions elasticities for income and population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates. Global Environmental Change. https://doi.org/10.1016/j.gloenvcha.2014.10.016
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.
