975
Views
31
CrossRef citations to date
0
Altmetric
Research Article

Impact of renewable and fossil fuel energy consumption on environmental degradation: evidence from USA by nonlinear approaches

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 738-755 | Received 13 Apr 2022, Accepted 01 Jun 2022, Published online: 13 Jun 2022

References

  • Adebayo TS, Awosusi AA, Adeshola I. 2020. Determinants of CO2 emissions in emerging markets: an empirical evidence from MINT economies. Int J Ren Energy Dev. 9(3):411–422. DOI:10.14710/ijred.2020.31321.
  • Adebayo TS, Kirikkaleli D. 2021. Impact of renewable energy consumption, globalization, and technological innovation on environmental degradation in Japan: application of wavelet tools. Environ Dev Sustain. 23(11):16057–16082. DOI:10.1007/s10668-021-01322-2.
  • Adebayo TS, Akinsola GD, Odugbesan JA, Olanrewaju VO. 2021a. Determinants of environmental degradation in Thailand: empirical evidence from ARDL and wavelet coherence approaches. Pollution. 7(1):181–196.
  • Adebayo TS, Udemba EN, Ahmed Z, Kirikkaleli D. 2021b. Determinants of consumption-based carbon emissions in Chile: an application of non-linear ARDL. Environ Sci Pollut Res. 28(32):43908–43922. DOI:10.1007/s11356-021-13830-9.
  • Adebayo TS. 2022. Environmental consequences of fossil fuel in Spain amidst renewable energy consumption: a new insights from the wavelet-based Granger causality approach. Int J Sust Dev World. 3(4):1–14. DOI:10.1080/13504509.2022.2054877.
  • Adebayo TS, Oladipupo SD, Adeshola I, Rjoub H. 2022. Wavelet analysis of impact of renewable energy consumption and technological innovation on CO2 emissions: evidence from Portugal. Environ Sci Pollut Res. 29(16):23887–23904. DOI:10.1007/s11356-021-17708-8.
  • Ahmad F, Draz MU, Öztürk I, Su L, Rauf A. 2020. Looking for asymmetries and nonlinearities: the nexus between renewable energy and environmental degradation in the northwestern provinces of China. J Clean Prod. 266:121714. doi:10.1016/j.jclepro.2020.121714.
  • Alkhathlan K, Javid M. 2013. Energy consumption, carbon emissions and economic growth in Saudi Arabia: an aggregate and disaggregate analysis. Energy Policy. 62:1525–1532. doi:10.1016/j.enpol.2013.07.068.
  • Awosusia AA, Adebayo TS, Altuntaş M, Agyekum EB, Zawbaae HM, Kamel S. 2022. The dynamic impact of biomass and natural resources on ecological footprint in BRICS economies: a quantile regression evidence. Energy Reports. 8:979–1994.
  • Bekhet HA, Matar A, Yasmin T. 2017. CO2 emissions, energy consumption, economic growth, and financial development in GCC countries: dynamic simultaneous equation models. Renew Sust Energ Rev. 70:117–132.
  • Bhattacharya M, Paramati SR, Öztürk’ İ, Bhattacharya S. 2016. The effect of renewable energy consumption on economic growth: evidence from top 38 countries. Appl Energ. 162:733–741.
  • Bilgili F, Öztürk İ, Koçak E, Bulut Ü, Pamuk Y, Muğaloğlu E, Bağlıtaş HH. 2016a. The influence of biomass energy consumption on CO2 Emissions: a wavelet coherence approach. Environ Sci Pollut Res. 23(19):19043–19061.
  • Bilgili F, Koçak E, Bulut Ü. 2016b. The dynamic impact of renewable energy consumption on CO2 emissions: a revisited environmental Kuznets curve approach. Renew Sust Energ Rev. 54:838–845.
  • Bimanatya TE, Widodo T. 2018. Fossil fuels consumption, carbon emissions, and economic growth in Indonesia. Int J Energy Econ Policy. 8(4):90–97.
  • British Petroleum BP. 2022. Energy data. https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy/downloads.html
  • Broock WA, Scheinkman JA, Dechert WD, LeBaron B. 1996. A test for independence based on the correlation dimension. Economet Rev. 15(3):197–235.
  • Bulut U. 2019. Testing environmental Kuznets curve for the USA under a regime shift: the role of renewable energy. Environ Sci Pollut Res. 26(14):14562–14569.
  • Çağlar AE, Zafar MW, Bekun FV, Mert M. 2022. Determinants of CO2 emissions in the BRICS economies: the role of partnerships investment in energy and economic complexity. Sustain Energy Technol Assess. 51:101907.
  • Cheng K, Hsueh HP, Ranjbar O, Wang MC, Chang T. 2021. Urbanization, coal consumption and CO2 emissions nexus in China using bootstrap Fourier Granger causality test in quantiles. Lett Spat Resour Sci. 14(1):31–49.
  • Chien F, Hsu CC, Öztürk İ, Sharif A, Sadiq M. 2022. The role of renewable energy and urbanization towards greenhouse gas emission in top Asian countries: evidence from advance panel estimations. Renew Energ. 186:207–216.
  • Dickey DA, Fuller WA. 1979. Distribution of the estimators for autoregressive time series with a unit root. J Am Stat Assoc. 74(366a):427–431.
  • Dong K, Sun R, Li H, Liao H. 2018. Does natural gas consumption mitigate CO2 emissions: testing the environmental Kuznets curve hypothesis for 14 Asia-Pacific countries. Renew Sust Energ Rev. 94:419–429.
  • EIA. Energy Information Administration. 2022. Monthly energy review. https://www.eia.gov/totalenergy/data/monthly
  • Fernández-Macho J. 2012. Wavelet multiple correlation and cross-correlation: a multiscale analysis of Euro zone stock markets. Physica A. 391(4):1097–1104.
  • Gani A. 2021. Fossil fuel energy and environmental performance in an extended STIRPAT model. J Clean Prod. 297:126526.
  • García HG, Cantú JJS, Guajardo RCR. 2012. Pollution as one of the determinants of migration: evidence for Mexico. Economia Mexicana. 21(1):69–92.
  • Goupillaud P, Grossmann A, Morlet J. 1984. Cycle-octave and related transforms in seismic signal analysis. Geoexploration. 23(1):85–102.
  • Kartal MT. 2022. The role of consumption of energy, fossil sources, nuclear energy, and renewable energy on environmental degradation in top-five carbon producing countries. Renew Energ. 184:871–880.
  • Khan I, Khan N, Yaqub A, Sabir M. 2019. An empirical investigation of the determinants of CO2 emissions: evidence from Pakistan. Environ Sci Pollut Res. 26(9):9099–9112.
  • Khochiani R, Nademi Y. 2020. Energy consumption, CO2 emissions, and economic growth in the United States, China, and India: a wavelet coherence approach. Energ Environ. 31(5):886–902.
  • Kılıç Depren S, Kartal MT, Ertuğrul HM, Depren Ö. 2022. The role of data frequency and method selection in electricity price estimation: comparative evidence from Turkey in pre-pandemic and pandemic periods. Renew Energ. 186:217–225.
  • Koç S, Buluş GC. 2020. Testing validity of the EKC hypothesis in South Korea: role of renewable energy and trade openness. Environ Sci Pollut Res. 27(23):29043–29054.
  • Koenker R. 2005. Quantile regression. Cambridge: Cambridge University Press.
  • Leal PH, Marques AC. 2020. Rediscovering the EKC hypothesis for the 20 highest CO2 emitters among OECD countries by level of globalization. Int Econ. 164:36–47.
  • Lim KM, Lim SY, Yoo SH. 2014. Oil consumption, CO2 emission, and economic growth: evidence from the Philippines. Sustainability. 6(2):967–979.
  • Liu LC, Cao D, Wei YM. 2016. What drives intersectoral CO2 emissions in China? J Clean Prod. 133:1053–1061.
  • Mao G, Huang N, Chen L, Wang H. 2018. Research on biomass energy and environment from the past to the future: a bibliometric analysis. Sci Total Environ. 635:1081–1090.
  • Mukhtarov S. 2022. The impact of carbon pricing on international competitiveness in the case of Azerbaijan. Environ Sci Pollut Res. 29:33587–33594.
  • Oliveira H, Moutinho V. 2021. Renewable energy, economic growth and economic development nexus: a bibliometric analysis. Energies. 14(15):4578.
  • Pata UK. 2018. The influence of coal and noncarbohydrate energy consumption on CO2 emissions: revisiting the environmental Kuznets curve hypothesis for Turkey. Energy. 160:1115–1123.
  • Pata UK. 2021. Renewable and non-renewable energy consumption, economic complexity, CO2 emissions, and ecological footprint in the USA: testing the EKC hypothesis with a structural break. Environ Sci Pollut Res. 28(1):846–861.
  • Phillips PC, Perron P. 1988. Testing for a unit root in time series regression. Biometrika. 75(2):335–346.
  • Rafindadi AA, Yusof Z, Zaman K, Kyophilavong P, Akhmat G. 2014. The relationship between air pollution, fossil fuel energy consumption, and water resources in the panel of selected Asia-Pacific countries. Environ Sci Pollut Res. 21(19):11395–11400.
  • Raza SA, Shah N, Sharif A. 2019. Time frequency relationship between energy consumption, economic growth and environmental degradation in the United States: evidence from transportation sector. Energy. 173:706–720.
  • Saboori B, Rasoulinezhad E, Sung J. 2017. The nexus of oil consumption, CO2 emissions and economic growth in China, Japan and South Korea. Environ Sci Pollut Res. 24(8):7436–7455.
  • Salari M, Javid RJ, Noghanibehambari H. 2021. The nexus between CO2 emissions, energy consumption, and economic growth in the US. Econ Anal Policy. 69:182–194.
  • Sarkodie SA. 2018. The invisible hand and EKC hypothesis: what are the drivers of environmental degradation and pollution in Africa? Environ Sci Pollut Res. 25(22):21993–22022.
  • Sharif A, Mishra S, Sinha A, Jiao Z, Shahbaz M, Afshan S. 2020. The renewable energy consumption-environmental degradation nexus in top-10 polluted countries: fresh insights from quantile-on-quantile regression approach. Renew Energ. 150:670–690.
  • Sharif A, Bhattacharya M, Afshan S, Shahbaz M. 2021. Disaggregated renewable energy sources in mitigating CO2 emissions: new evidence from the USA using quantile regressions. Environ Sci Pollut Res. 28(41):57582–57601.
  • Shen J, Wang S, Liu W, Chu J. 2019. Does migration of pollution-intensive industries impact environmental efficiency? Evidence supporting “pollution haven hypothesis”. J Environ Manage. 242:142–152.
  • Sim N, Zhou H. 2015. Oil prices, us stock return, and the dependence between their quantiles. J Bank Financ. 55:1–8.
  • Solarin SA, Bello MO. 2020. Energy innovations and environmental sustainability in the US: the roles of immigration and economic expansion using a maximum likelihood method. Sci Total Environ. 712:135594.
  • Torrence C, Compo GP. 1998. A practical guide to wavelet analysis. B Am Meteorol Soc. 79(1):61–78.
  • Troster V. 2018. Testing for Granger-causality in quantiles. Economet Rev. 37(8):850–866.
  • World Bank. 2022. GDP current US$. https://data.worldbank.org
  • Yazdi SK, Shakouri B. 2014. The impact of energy consumption, income, trade, urbanization and financial development on carbon emissions in Iran. Adv Environ Biol. 1293–1301. https://link.gale.com/apps/doc/A375288227/AONE?u=anon~5425c3b8&sid=googleScholar&xid=fa68ca53
  • Yuping L, Ramzan M, Xincheng L, Murshed M, Awosusi AA, Bah SI, Adebayo TS. 2021. Determinants of carbon emissions in Argentina: the roles of renewable energy consumption and globalization. Energy Reports. 7:4747–4760.
  • Zafar MW, Zaidi SAH, Sinha A, Gedikli A, Hou F. 2019. The role of stock market and banking sector development, and renewable energy consumption in carbon emissions: insights from G-7 and N-11 countries. Resour Policy. 62:427–436.
  • Zhan Z, Ali L, Sarwat S, Godil DI, Dinca G, Anser MK. 2021. A step towards environmental mitigation: do tourism, renewable energy and institutions really matter? A QARDL approach. Sci Total Environ. 778:146209.
  • Zivot E, Andrews DWK. 2002. Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. J Bus Econ Stat. 20(1):25–44.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.