The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Cointegration, error-correction, and the relationship between GDP and energy:
Abstract
This paper examines the causality issue between energy consumption and GDP for South Korea and Singapore, with the aid of cointegration and error-correction modeling. Results of the cointegration and error-correction models indicate bidirectional causality between GDP and energy consumption for both South Korea and Singapore. However, results of the standard Granger causality tests show no causal relationship between GDP and energy consumption for South Korea and unidirectional causal relationship from energy consumption to GDP for Singapore.
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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
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989
Cited by
Topolewski, Ł. (2021) · Energies · doi:10.3390/en14123565 · Cited by 71
Metadata
- Authors
- Glasure, Y. U., & Lee, A.-R.
- Venue
- Resource and Energy Economics
- Publisher
- Elsevier BV
- Published
- 1998-03
- Volume
- 20
- Issue
- 1
- Pages
- 17-25
- ISSN
- 0928-7655 (ISSN-L)
- OpenAlex
- W1605978886
- Cited by
- 355
- References
- 2
- FWCI
- 0.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- Glasure, Y. U., & Lee, A.-R. (1998). Cointegration, error-correction, and the relationship between GDP and energy:. Resource and Energy Economics. https://doi.org/10.1016/s0928-7655(96)00016-4
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.
