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PM2.5 Neutrality goals: the role of government strengthen and digitalization in BRICS Countries.

Authors :
Liu, Fang
Li, Anqi
Khan, Yasir
Source :
Air Quality, Atmosphere & Health; Nov2024, Vol. 17 Issue 11, p2615-2629, 15p
Publication Year :
2024

Abstract

The present empirical analysis takes into account a panel of BRICS data between 2000 and 2022 to probe the influence and the extent of digitalization (DIG), economic growth (GDP), governance (GOV), and renewable energy (RE) with PM2.5 air pollution in BRICS. Under the examination, the panel is investigated for numerous diagnostic tests where we confirmed a long-run co-integration among the studied variables. The econometric technique of the Method of Moment Quantile Regression (MMQREG) analysis supports that GDP is inimical, conversely, digitalization (DIG), renewable energy (RE), and effective governance (GOV) illustrate heterogeneous influences on PM2.5 air pollution. Moreover, the robustness test of the Robust Least Square (RLS) Fully-Modified (OLS), and Dynamic (OLS) confirms and validates the prior outcomes of the Method of Moment Quantile Regression (MMQREG) method. The results indicate that, with the exception of GDP, the explanatory factors effectively reduce PM2.5 air pollution in BRICS countries. Based on these findings, it is suggested that the BRICS member state should give top priority to the development of green and sustainable energy and enhance digitalization (DIG) by importing high-tech solutions. This approach would alleviate the burden on environmental quality. Additionally, the presence of effective governance will play a crucial role in coordinating various institutions, thereby maximizing the benefits derived from the deployment of renewable energy sources. Highlights: The correlation term of effective governance is developed in the growth-PM2.5 air pollution. Ineffective governance weakens the association between economic growth and PM2.5 air pollution. FMOLS DOLS methods were utilized. Overall we propose that effective governance, renewable energy, and adaptation of digitalization reduce PM2.5 air pollution. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18739318
Volume :
17
Issue :
11
Database :
Complementary Index
Journal :
Air Quality, Atmosphere & Health
Publication Type :
Academic Journal
Accession number :
181069764
Full Text :
https://doi.org/10.1007/s11869-024-01592-5