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Analyzing Technology-Emissions Association in Top-10 Polluted MENA Countries: How to Ascertain Sustainable Development by Quantile Modeling Approach

Avik Sinha, Muhammad Ibrahim Shah, Tuhin Sengupta and Zhilun Jiao

MPRA Paper from University Library of Munich, Germany

Abstract: This study investigates the relationship between technological progression and ambient air pollution in top-10 polluted Middle East and North African (MENA) countries by using monthly data for the period of 1990-2017. The Quantile cointegration proposed by Xiao (2009), Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015), and Quantile Autoregressive Granger causality developed by Troster (2018) are applied. In particular, we examine to which extent, quantiles of technological progression affect the quantiles of ambient air pollution, by developing separate indicators for both the mentioned aspects using Principal Component Analysis (PCA). Our empirical findings unfold mutual dependence between technological progression and ambient air pollution. Furthermore, the results of Quantile Autoregressive Granger causality test conclude a bidirectional causal relationship between technological progression and ambient air pollution.

Keywords: Technological progression; Air pollution; Quantile modeling; MENA countries (search for similar items in EconPapers)
JEL-codes: Q5 Q53 (search for similar items in EconPapers)
Date: 2020, Revised 2020
New Economics Papers: this item is included in nep-ara, nep-ene and nep-env
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https://mpra.ub.uni-muenchen.de/100253/1/MPRA_paper_100253.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/100368/1/MPRA_paper_100253.pdf revised version (application/pdf)

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