The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Investigating the nexus between economic complexity, energy consumption and ecological footprint for the United States: New insights from quantile methods
Abstract
Abstract The prime objective of this study is to investigate the nexus between economic complexity, fossil fuels energy and ecological footprint in the United States. This is probably the first research to explore the role of economic complexity for environmental quality, in the objective to report new solutions for climate change issues. More specifically, the study investigates the linear and asymmetric impacts of economic complexity and fossil fuel energy use on ecological footprint by using the extensive data spanning the period of 1965Q1 to 2017Q4. For empirical analysis, the authors employ the newly developed quantile unit root test, quantile autoregressive distributed lag (QARDL), and quantile Granger causality tests. The quantile autoregressive distributed lag (QARDL) analysis confirmed that economic complexity and fossil fuel energy consumption significantly enhance the ecological footprint in the United States. Further, the quantile causality empirics suggested the existence of causal relationships between economic complexity and energy consumption with the ecological footprint.
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Cites
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
Dickey, D. A., & Fuller, W. A. (1979) · Journal of the American Statistical Association · doi:10.1080/01621459.1979.10482531 · Cited by 23,211
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
Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis
Zivot, E., & Andrews, D. W. K. (2002) · Journal of Business & Economic Statistics · doi:10.1198/073500102753410372 · Cited by 5,737
The building blocks of economic complexity
Hidalgo, C. A., & Hausmann, R. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900943106 · Cited by 3,372
Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis
Zivot, E., & Andrews, D. W. K. (1992) · Journal of Business & Economic Statistics · doi:10.1080/07350015.1992.10509904 · Cited by 3,250
Ecological footprints and appropriated carrying capacity: what urban economics leaves out
Rees, W. E. (1992) · Environment and Urbanization · doi:10.1177/095624789200400212 · Cited by 2,398
Ahmed, Z., Asghar, M. M., Malik, M. N., & Nawaz, K. (2020) · Resources Policy · doi:10.1016/j.resourpol.2020.101677 · Cited by 1,190
Destek, M. A., & Sinha, A. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.118537 · Cited by 1,135
Alola, A. A., Bekun, F. V., & Sarkodie, S. A. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.05.139 · Cited by 835
Zafar, M. W., Zaidi, S. A. H., Khan, N. R., Mirza, F. M., Hou, F., & Kirmani, S. A. A. (2019) · Resources Policy · doi:10.1016/j.resourpol.2019.101428 · Cited by 805
Cited by
Zhao, X., Mahendru, M., Ma, X., Rao, A., & Shang, Y. (2022) · Renewable Energy · doi:10.1016/j.renene.2022.01.076 · Cited by 346
Ahmad, M., Ahmed, Z., Majeed, A., & Huang, B. (2021) · Environmental Impact Assessment Review · doi:10.1016/j.eiar.2021.106603 · Cited by 281
Metadata
- Authors
- Shahzad, U., Fareed, Z., Shahzad, F., & Shahzad, K.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 279
- Pages
- 123806
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W3081165860
- Cited by
- 391
- References
- 34
- FWCI
- 55.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Shahzad, U., Fareed, Z., Shahzad, F., & Shahzad, K. (2021). Investigating the nexus between economic complexity, energy consumption and ecological footprint for the United States: New insights from quantile methods. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.123806
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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.
