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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Martins, J., Adebayo, T. S., Mata, M. N., Oladipupo, S. D., Adeshola, I., Ahmed, Z....Correia, A. B. (2021). Modeling the relationship between economic complexity and environmental degradation: Evidence from top seven economic complexity countries. Frontiers in Environmental Science. 9
Exportar Referência (IEEE)
J. D. Martins et al.,  "Modeling the relationship between economic complexity and environmental degradation: Evidence from top seven economic complexity countries", in Frontiers in Environmental Science, vol. 9, 2021
Exportar BibTeX
@article{martins2021_1732210010491,
	author = "Martins, J. and Adebayo, T. S. and Mata, M. N. and Oladipupo, S. D. and Adeshola, I. and Ahmed, Z. and Correia, A. B.",
	title = "Modeling the relationship between economic complexity and environmental degradation: Evidence from top seven economic complexity countries",
	journal = "Frontiers in Environmental Science",
	year = "2021",
	volume = "9",
	number = "",
	doi = "10.3389/fenvs.2021.744781"
}
Exportar RIS
TY  - JOUR
TI  - Modeling the relationship between economic complexity and environmental degradation: Evidence from top seven economic complexity countries
T2  - Frontiers in Environmental Science
VL  - 9
AU  - Martins, J.
AU  - Adebayo, T. S.
AU  - Mata, M. N.
AU  - Oladipupo, S. D.
AU  - Adeshola, I.
AU  - Ahmed, Z.
AU  - Correia, A. B.
PY  - 2021
SN  - 2296-665X
DO  - 10.3389/fenvs.2021.744781
AB  - The continuous growth in CO2 emissions of nations around the globe has made achieving the aim of sustainable development extremely challenging. Therefore, the current research assesses the connection between CO2 emissions and economic complexity in the top 7 economic complexity countries while taking into account the role of economic growth, renewable energy consumption, and globalization for the period between 1993 and 2018. The research aims to answer the following questions: 1) What is the association between CO2 and the regressors in the long-run? 2) What are the effects of renewable energy consumption, economic growth, economic complexity, and globalization on CO2 emissions? The research utilized the CS-ARDL, CCEMG and panel causality
approaches to investigate these interconnections. The empirical outcomes revealed that economic growth and economic complexity increase CO2 emissions while renewable energy consumption and globalization mitigate CO2 emissions. The outcomes of the causality test revealed a feedback causal connection between economic growth and CO2, while a unidirectional causality was established from
economic complexity, globalization and renewable energy consumption to CO2 emissions in the top 7 economic complexity countries.
ER  -