The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Examining carbon emissions economic growth nexus for India: A multivariate cointegration approach
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Citations
Cites
Co-integration and error correction: representation, estimation and testing
Engle, R. F., & Granger, C. W. J. (1987) · Econometrica · doi:10.2307/1913236 · Cited by 32,007
Bounds testing approaches to the analysis of level relationships
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001) · Journal of Applied Econometrics · doi:10.1002/jae.616 · Cited by 20,385
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
The stability of money demand in Nigeria: An autoregressive distributed lag approach
Akinlo, A. E. (2006) · Journal of Policy Modeling · doi:10.1016/j.jpolmod.2005.09.001 · Cited by 130
Cited by
ICT, CO 2 Emissions and Economic Growth: Evidence from a Panel of ASEAN
Lee, J. W., & Brahmasrene, T. (2014) · Global Economic Review · doi:10.1080/1226508x.2014.917803 · Cited by 330
ICT and environmental sustainability: Any differences in developing countries?
N’dri, L. M., Islam, M., & Kakinaka, M. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126642 · Cited by 157
Metadata
- Authors
- Ghosh, S.
- Venue
- Energy Policy
- Publisher
- Elsevier BV
- Published
- 2010-06
- Volume
- 38
- Issue
- 6
- Pages
- 3008-3014
- ISSN
- 0301-4215 (ISSN-L)
- OpenAlex
- W2017477041
- Cited by
- 469
- References
- 4
- FWCI
- 38.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ghosh, S. (2010). Examining carbon emissions economic growth nexus for India: A multivariate cointegration approach. Energy Policy. https://doi.org/10.1016/j.enpol.2010.01.040
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.
