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Effects of biomass energy consumption on environmental quality: The role of education and technology in Asia-Pacific Economic Cooperation countries.

Authors :
Zafar, Muhammad Wasif
Sinha, Avik
Ahmed, Zahoor
Qin, Quande
Zaidi, Syed Anees Haider
Source :
Renewable & Sustainable Energy Reviews. May2021, Vol. 142, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

Rising concern regarding traditional non-renewable energy consumption has led policymakers to explore the potential of economical renewable energy sources. In this regard, biomass energy has received considerable attention because previous studies have found mixed results regarding the effect of biomass energy on environmental quality. Together with modern technology, biomass energy may significantly influence environmental quality. This study investigates the impact of biomass energy consumption, education, and technological innovation on environmental quality by controlling for the role of economic growth and financial development in the function of environmental quality. Second-generation econometric methods were used to solve the issues of heterogeneity and cross-sectional dependence in the study variables. The Westerlund and Edgerton (2008) cointegration technique confirmed the existence of a long-run equilibrium among the variables in the presence of structural breaks. The panel quantile regression results indicate that biomass energy use and technological innovation reduce environmental quality. Similarly, economic growth increases carbon emissions in the environment. Education and financial development contribute to reduce carbon emissions. • Role of biomass energy consumption, education, and technological innovation is investigated in carbon emissions. • Panel quantile regression method is employed for APEC countries. • Biomass energy consumption and technological innovation increase carbon emissions. • Education and financial development improve environmental quality by reducing carbon emissions. • Dumitrescu and Hurlin method is used to examine the causality among the variables. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13640321
Volume :
142
Database :
Academic Search Index
Journal :
Renewable & Sustainable Energy Reviews
Publication Type :
Academic Journal
Accession number :
149244762
Full Text :
https://doi.org/10.1016/j.rser.2021.110868