The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Effects of biomass energy consumption on environmental quality: The role of education and technology in Asia-Pacific Economic Cooperation countries
Abstract
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.
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Cites
The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics
Breusch, T. S., & Pagan, A. R. (1980) · The Review of Economic Studies · doi:10.2307/2297111 · Cited by 8,982
General Diagnostic Tests for Cross Section Dependence in Panels
Pesaran, M. H. (2004) · doi:10.2139/ssrn.572504 · Cited by 8,738
Testing for Granger non-causality in heterogeneous panels
Dumitrescu, E.-I., & Hurlin, C. (2012) · Economic Modelling · doi:10.1016/j.econmod.2012.02.014 · Cited by 5,922
Quantile regression for longitudinal data
Koenker, R. (2004) · Journal of Multivariate Analysis · doi:10.1016/j.jmva.2004.05.006 · Cited by 2,177
Tamazian, A., Chousa, J. P., & Vadlamannati, K. C. (2009) · Energy Policy · doi:10.1016/j.enpol.2008.08.025 · Cited by 1,712
How economic growth, renewable electricity and natural resources contribute to CO2 emissions?
Balsalobre-Lorente, D., Shahbaz, M., Roubaud, D., & Farhani, S. (2018) · Energy Policy · doi:10.1016/j.enpol.2017.10.050 · Cited by 1,501
Dynamic panel estimation and homogeneity testing under cross section dependence
Phillips, P. C. B., & Sul, D. (2003) · The Econometrics Journal · doi:10.1111/1368-423x.00108 · Cited by 1,257
Sarkodie, S. A., & Strezov, V. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.07.365 · Cited by 1,246
Jalil, A., & Feridun, M. (2011) · Energy Economics · doi:10.1016/j.eneco.2010.10.003 · Cited by 1,214
Dogan, E., & Seker, F. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.02.006 · Cited by 1,042
Cited by
Zhang, C., Khan, I., Dagar, V., Saeed, A., & Zafar, M. W. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121570 · Cited by 340
Self-citationBiomass Energy and Biofuels: Perspective, Potentials, and Challenges in the Energy Transition
Mignogna, D., Szabó, M., Ceci, P., & Avino, P. (2024) · Sustainability · doi:10.3390/su16167036 · Cited by 248
Cheng, Y., Sinha, A., Ghosh, V., Sengupta, T., & Luo, H. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.112957 · Cited by 177
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Metadata
- Authors
- Zafar, M. W., Sinha, A., Ahmed, Z., Qin, Q., & Zaidi, S. A. H.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 142
- Pages
- 110868
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W3135183644
- Cited by
- 282
- References
- 55
- FWCI
- 43.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zafar, M. W., Sinha, A., Ahmed, Z., Qin, Q., & Zaidi, S. A. H. (2021). Effects of biomass energy consumption on environmental quality: The role of education and technology in Asia-Pacific Economic Cooperation countries. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2021.110868
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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