Skip to main content
Log in

Asymmetric effect of electricity consumption on CO2 emissions in the USA: analysis of end-user electricity consumption by nonlinear quantile approaches

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

The study examines the asymmetric effect of electricity consumption on carbon dioxide (CO2) emissions by analyzing end-user groups. In this context, the study focuses on the USA, which is the largest economy. The study includes the most available monthly data from January 1973 to November 2021, performs nonlinear quantile approaches as Granger causality-in-quantiles, nonparametric causality-in-quantiles, and quantile-on-quantile regression (QQR). Besides, quantile regression (QR) approach is used for robustness checks. The empirical results show that (i) correlation relationship between the electricity consumption and CO2 emissions changes according to the terms; (ii) there are generally causality effects in quantiles excluding some lower (0.05, 0.25), middle (0.70, 0.75), and high (0.95) quantiles, while the results for end-user groups vary; (iii) similarly, there is nonparametric causality from the end-user electricity consumption indicators to the CO2 emissions for the mean (return) and the variance (volatility) in most of the quantiles excluding some; (iv) the effects of the electricity consumption indicators on the CO2 emissions are higher in lower quantiles; (v) the QR results show the robustness of the QQR results. Overall, the effects of the electricity consumption indicators on the CO2 emissions are asymmetric and change according to the terms, quantiles, mean, variance, and end-user groups. Furthermore, policy implications are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

The data that support the findings of this study are available in the US Energy Information Administration (EIA) at https://www.eia.gov/totalenergy/data/monthly.

References

  • Abbasi KR, Hussain K, Abbas J, Adedoyin FF, Shaikh PA, Yousaf H, Muhammad F (2021) Analyzing the role of industrial sector’s electricity consumption, prices, and GDP: a modified empirical evidence from Pakistan. Aims Energy 9(1):29–49

    Article  Google Scholar 

  • Adebayo TS (2022a) Renewable energy consumption and environmental sustainability in Canada: does political stability make a difference? Environ Sci Pollut Res 1–16. https://doi.org/10.1007/s11356-022-20008-4

  • Adebayo TS (2022b) 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

    Google Scholar 

  • Adebayo TS, AbdulKareem HK, Kirikkaleli D, Shah MI, Abbas S (2022) CO2 behavior amidst the COVID-19 pandemic in the United Kingdom: the role of renewable and non-renewable energy development. Renew Energy 189:492–501

    Article  CAS  Google Scholar 

  • Adebayo TS, Awosusi AA, Adeshola I (2020) Determinants of CO2 emissions in emerging markets: an empirical evidence from MINT economies. Int J Renew Energy Dev 9(3):411–422

    Article  CAS  Google Scholar 

  • Adebayo TS, Udemba EN, Ahmed Z, Kirikkaleli D (2021) Determinants of consumption-based carbon emissions in Chile: an application of non-linear ARDL. Environ Sci Pollut Res 28(32):43908–43922

  • Bal DP, Patra SK, Mohanty S (2022) Impact of sectoral decompositions of electricity consumption on economic growth in India: evidence from SVAR framework. Environ Sci Pollut Res 1–13. https://doi.org/10.1007/s11356-022-19352-2

  • Balcılar M, Gupta R, Pierdzioch C (2016) Does uncertainty move the gold price? New evidence from a nonparametric causality-in-quantiles test. Resour Policy 49:74–80

    Article  Google Scholar 

  • Bhattacharya M, Paramati SR, Öztürk İ, Bhattacharya S (2016) The effect of renewable energy consumption on economic growth: evidence from top 38 countries. Appl Energy 162:733–741

    Article  Google Scholar 

  • BP (2022) Energy data. https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy/downloads.html, Mar 13, 2022

  • Broock WA, Scheinkman JA, Dechert WD, LeBaron B (1996) A test for independence based on the correlation dimension. Economet Rev 15(3):197–235

    Article  Google Scholar 

  • Chang CH, Chen ZB, Huang SF (2022) Forecasting of high-resolution electricity consumption with stochastic climatic covariates via a functional time series approach. Appl Energy 309:118418

    Article  Google Scholar 

  • Cheng Y, Yao X (2021) Carbon intensity reduction assessment of renewable energy technology innovation in China: a panel data model with cross-section dependence and slope heterogeneity. Renew Sustain Energy Rev 135:110157

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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 Energy 186:207–216

    Article  CAS  Google Scholar 

  • 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

    Article  Google Scholar 

  • EIA (2022) Monthly energy review. https://www.eia.gov/totalenergy/data/monthly, Mar 10, 2022

  • Fernández-Macho J (2012) Wavelet multiple correlation and cross-correlation: a multiscale analysis of euro zone stock markets. Physica A 391(4):1097–1104

    Article  Google Scholar 

  • 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 Energy 184:871–880

    Article  CAS  Google Scholar 

  • Kartal MT, Kılıç Depren S, Ayhan F, Depren Ö (2022) Impact of renewable and fossil fuel energy consumption on environmental degradation: evidence from USA by nonlinear approaches. Int J Sustain Dev World Ecol Forthcoming. https://doi.org/10.1080/13504509.2022.2087115

    Article  Google Scholar 

  • 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 Energy 186:217–225

    Article  Google Scholar 

  • Kirikkaleli D, Güngör H, Adebayo TS (2022) Consumption-based carbon emissions, renewable energy consumption, financial development and economic growth in Chile. Bus Strateg Environ 31(3):1123–1137

    Article  Google Scholar 

  • Koenker R (2005) Quantile regression. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Kwiatkowski D, Phillips PC, Schmidt P, Shin Y (1992) Testing the null hypothesis of stationarity against the alternative of a unit root: how sure are we that economic time series have a unit root? J Econ 54(1–3):159–178

    Article  Google Scholar 

  • Li D, Huang G, Zhu S, Chen L, Wang J (2021a) How to peak carbon emissions of provincial construction industry? Scenario analysis of Jiangsu province. Renew Sustain Energy Rev 144:110953

    Article  CAS  Google Scholar 

  • Li R, Woo CK, Cox K (2021b) How price-responsive is residential retail electricity demand in the US? Energy 232:120921

    Article  Google Scholar 

  • Narayan PK, Narayan S, Prasad A (2008) A structural VAR analysis of electricity consumption and real GDP: evidence from the G7 countries. Energy Policy 36(7):2765–2769

    Article  Google Scholar 

  • Oliveira H, Moutinho V (2021) Renewable energy, economic growth and economic development nexus: a bibliometric analysis. Energies 14(15):4578

    Article  Google Scholar 

  • Rahaman M, Hossain M, Chen S (2022) The impact of foreign direct investment, tourism, electricity consumption, and economic development on CO2 emissions in Bangladesh. Environ Sci Pollut Res 29(25):37344–37358

  • Rehman A, Ma H, Öztürk İ, Radulescu M (2022) Revealing the dynamic effects of fossil fuel energy, nuclear energy, renewable energy, and carbon emissions on Pakistan’s economic growth. Environ Sci Pollut Res 1–11. https://doi.org/10.1007/s11356-022-19317-5

  • Sanquist TF, Orr H, Shui B, Bittner AC (2012) Lifestyle factors in US residential electricity consumption. Energy Policy 42:354–364

    Article  Google Scholar 

  • Santamouris M, Cartalis C, Synnefa A, Kolokotsa D (2015) On the impact of urban heat island and global warming on the power demand and electricity consumption of buildings-a review. Energy and Buildings 98:119–124

    Article  Google Scholar 

  • 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 Energy 150:670–690

    Article  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • Sim N, Zhou H (2015) Oil prices, US Stock Return, and the dependence between their quantiles. J Bank Finance 55:1–8

    Article  Google Scholar 

  • Soytaş MA, Ertuğrul HM, Ulussever T (2020) Nonlinear excess demand model for electricity price prediction. Economic Research Forum Working Papers, No. 1449. https://www.researchgate.net/profile/Mehmet-Soytas/publication/347590730_Nonlinear_Excess_Demand_Model_for_Electricity_Price_Prediction/links/5ff1e0b345851553a015d9d8/Nonlinear-Excess-Demand-Model-for-Electricity-Price-Prediction.pdf

  • Tonkovic MP, Hussain SA (2017) Residential and non-residential electricity dynamics. Energy Econ 64:262–271

    Article  Google Scholar 

  • Troster V (2018) Testing for Granger-causality in quantiles. Economet Rev 37(8):850–866

    Article  Google Scholar 

  • Ummalla M, Goyari P (2021) The impact of clean energy consumption on economic growth and CO2 emissions in BRICS countries: does the environmental Kuznets curve exist? J Public Aff 21(1):e2126

    Article  Google Scholar 

  • Wilson B (2013) Urban form and residential electricity consumption: evidence from Illinois, USA. Landsc Urban Plan 115:62–71

    Article  Google Scholar 

  • World Bank (2022) GDP current US$. https://data.worldbank.org, Mar 13, 2022

  • 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 Rep 7:4747–4760

    Article  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

Mustafa Tevfik Kartal: the design of the study, conceptualization; methodology; data collection; econometric analysis; writing—original draft; writing—review and editing; Uzair Ali: writing—review and editing; Zhanar Nurgazina: writing—review and editing.

Corresponding author

Correspondence to Mustafa Tevfik Kartal.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

The authors are willing to permit the journal to publish the article.

Competing interests

The authors declare no competing interests.

Additional information

Responsible Editor: Ilhan Ozturk

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kartal, M.T., Ali, U. & Nurgazina, Z. Asymmetric effect of electricity consumption on CO2 emissions in the USA: analysis of end-user electricity consumption by nonlinear quantile approaches. Environ Sci Pollut Res 29, 83824–83838 (2022). https://doi.org/10.1007/s11356-022-21715-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-022-21715-8

Keywords

JEL Classification

Navigation