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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)
Dantas, R. M., Ali, S., Rafiq, M., Martins, J., Abreu, A. & Mata, M. N. (2023). Exploring the asymmetric effect of internal and external economic factors on poverty: A fresh insight from nonlinear autoregressive distributive lag model. Emerging Science Journal. 7 (3), 755-767
Exportar Referência (IEEE)
R. M. Dantas et al.,  "Exploring the asymmetric effect of internal and external economic factors on poverty: A fresh insight from nonlinear autoregressive distributive lag model", in Emerging Science Journal, vol. 7, no. 3, pp. 755-767, 2023
Exportar BibTeX
@article{dantas2023_1783375547547,
	author = "Dantas, R. M. and Ali, S. and Rafiq, M. and Martins, J. and Abreu, A. and Mata, M. N.",
	title = "Exploring the asymmetric effect of internal and external economic factors on poverty: A fresh insight from nonlinear autoregressive distributive lag model",
	journal = "Emerging Science Journal",
	year = "2023",
	volume = "7",
	number = "3",
	doi = "10.28991/ESJ-2023-07-03-07",
	pages = "755-767",
	url = "https://www.ijournalse.org/index.php/ESJ/article/view/1063/pdf"
}
Exportar RIS
TY  - JOUR
TI  - Exploring the asymmetric effect of internal and external economic factors on poverty: A fresh insight from nonlinear autoregressive distributive lag model
T2  - Emerging Science Journal
VL  - 7
IS  - 3
AU  - Dantas, R. M.
AU  - Ali, S.
AU  - Rafiq, M.
AU  - Martins, J.
AU  - Abreu, A.
AU  - Mata, M. N.
PY  - 2023
SP  - 755-767
SN  - 2610-9182
DO  - 10.28991/ESJ-2023-07-03-07
UR  - https://www.ijournalse.org/index.php/ESJ/article/view/1063/pdf
AB  - Objective:  This study examines the asymmetric impact of both internal  (military,  education,  and health expenditures)  and external  (trade opening and foreign direct investment)  factors that contribute to poverty reduction. Methodology:  To find an asymmetric relationship between the proposed variables, we used a non-linear ARDL co-integration approach for the period ranging from 1981-2019. Findings:  The findings of the study confirm the asymmetric impact of internal (education,  military,  health expenditures,  quality of governance)  and external  (foreign direct investment,  openness)  factors on poverty.  The finding confirms that ignoring nonlinear or asymmetric properties of macroeconomic variables may mislead inferences. This study has policy implications for government officials to reduce poverty. Novelty: the economic theory of poverty is studied from different perspectives by using internal and external factors that have direct and indirect effects on poverty.  Furthermore,  for in-depth analysis, a nonlinear approach is used to determine which factor has a strong contribution to eliminating poverty.

ER  -