The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The mitigating effects of economic complexity and renewable energy on carbon emissions in developed countries
Abstract
Under the growing threats of climate change, innovation and pollution reduction have become driving forces for cleaner economic growth and the environment. This study endeavors to analyze the effect of economic complexity—understood as structural transformation toward more sophisticated and knowledge‐based production, economic progress, renewable energy consumption, and population growth over carbon emissions. Our study employs panel data for a sample of 28 OECD countries covering the period of 1990–2014. The main contribution to the energy economics literature is given by bringing together the concept of environmental degradation and economic complexity controlling via renewable energy consumption and economic and population growth. Based on the extensive empirical analysis (augmented mean group estimator, panel cointegration, and panel regression techniques), we conclude that economic complexity and renewable energy might help in mitigating the environmental degradation problems in OECD countries.
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Cites
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
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
Redefining innovation — eco-innovation research and the contribution from ecological economics
Rennings, K. (2000) · Ecological Economics · doi:10.1016/s0921-8009(99)00112-3 · Cited by 3,226
Economic development as self-discovery
Hausmann, R., & Rodrik, D. (2003) · Journal of Development Economics · doi:10.1016/s0304-3878(03)00124-x · Cited by 1,840
Technology usage, expected job sustainability, and perceived job insecurity
Nam, T. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.08.017 · Cited by 282
Cited by
Kirikkaleli, D., & Adebayo, T. S. (2021) · Sustainable Development · doi:10.1002/sd.2159 · Cited by 518
Ahmed, Z., & Le, H. P. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-11205-0 · Cited by 326
Wang, J., Nghiem, X.-H., Jabeen, F., Luqman, A., & Song, M. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122236 · Cited by 63
Metadata
- Authors
- Doğan, B., Driha, O. M., Balsalobre Lorente, D., & Shahzad, U.
- Venue
- Sustainable Development
- Publisher
- Wiley
- Published
- 2020-09-09
- Volume
- 29
- Issue
- 1
- Pages
- 1-12
- ISSN
- 0968-0802 (ISSN-L)
- 1099-1719
- OpenAlex
- W3087413156
- Cited by
- 532
- References
- 5
- FWCI
- 62.71
- Type
- journal article
- Language
- en
- Open access
- closed
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