Abstract
It can be observed from the existing energy literature the previous papers investigating the influence of renewables consumption on GDP for the USA commonly ignore structural breaks in the US economy. Hence, the purpose of this paper is to examine the impact of renewable energy consumption on economic growth for the USA using quarterly data over the period 1977Q1-2019Q3 through unit root and cointegration methods based on different approaches in modelling structural breaks. Our empirical evidence confirms that all unit root tests give similar outputs and show all the variables become stationary at 1st differences. Besides, cointegration tests show highly different results in terms of the statistical significance of the coefficients. For instance, the cointegration test without structural breaks indicates that renewable energy consumption has no impact on economic growth. With sharp structural breaks in the cointegration approach, there is no cointegration between the variables. The empirical findings of the cointegration test with sharp and gradual breaks imply that renewable energy consumption has positive effects on economic growth. This paper discusses the implications of the empirical findings.
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Data availability
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Change history
05 February 2022
A Correction to this paper has been published: https://doi.org/10.1007/s11356-022-19088-z
References
Acemoglu D (2009) Introduction to modern economic growth. Princeton University Press, New Jersey
Apergis N, Payne JE (2009) Energy consumption and economic growth in Central America: evidence from a panel cointegration and error correction model. Energy Econ 31:211–216
Aslan A (2016) The causal relationship between biomass energy use and economic growth in the United States. Renew Sustain Energy Rev 57:362–366
Bildirici M, Gokmenoglu SM (2017) Environmental pollution, hydropower energy consumption and economic growth: evidence from G7 countries. Renew Sustain Energy Rev 75:68–85
Bilgili F (2015) Business cycle co-movements between renewables consumption and industrial production: a continuous wavelet coherence approach. Renew Sustain Energy Rev 52:325–332
Bilgili F, Ozturk I, Kocak E, Bulut U, Pamuk Y, Mugalolgu E, Baglitas HH (2016) The influence of biomass energy consumption on CO2 emissions: a wavelet coherence approach. Environ Sci Pollut Res 23:19043–19061
Bilgili F, Kocak E, Bulut U, Kuskaya S (2017) Can biomass energy be an efficient policy tool for sustainable development? Renew Sustain Energy Rev 71:830–845
Bilgili F, Kuskaya S, Toguc N, Mugaloglu E, Kocak E, Bulut U, Baglitas HH (2019) A revisited renewable consumption-growth nexus: a continuous wavelet approach through disaggregated data. Renew Sustain Energy Rev 107:1–19
Bowden N, Payne JE (2010) Sectoral analysis of the causal relationship between renewable and non-renewable energy consumption and real output in the US. Energy Source Part B Econ Plan Policy 5:400–408
BP (2019) BP statistical review of world energy. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2019-full-report.pdf. Accessed 14 Feb 2020.
Bulut U, Muratoglu G (2018) Renewable energy in turkey: great potential, low but increasing utilization, and an empirical analysis on renewable energy-growth nexus. Energy Policy 123:240–250
Bulut U, Inglesi-Lotz R (2019) Which type of energy drove industrial growth in the US from 2000 to 2018? Energy Rep 5:425–430
Bulut U, Apergis N (2021) A new methodological perspective on the impact of energy consumption on economic growth: time series evidence based on the Fourier approximation for solar energy in the USA. GeoJ 86:1969–1980
Chapman I (2014) The end of peak oil? Why this topic is still relevant despite recent denials. Energy Policy 64:93–101
Danish ZJ, Wang B, Latif Z (2019) Towards cross-regional sustainable development: the nexus between information and communication technology, energy consumption, and CO2 emissions. Sustain Dev 27:990–1000
Danish, Ulucak R (2020) The pathway toward pollution mitigation: does institutional quality make a difference? Bus Strategy Environ 29:3571-3583
Danish, Ulucak R (2021a) A revisit to the relationship between financial development and energy consumption? Is globalization paramount? Energy 227:1-8
Danish, Ulucak, R (2021b) Renewable energy, technological innovation and the environment: a novel dynamic auto-regressive distributed lag simulation. Renew Sustain Energy Rev 150:1-11
Dickey DA, Fuller WA (1981) Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica 49:1057–1072
Diemuodeke EO, Briggs TA (2018) Policy pathways for renewable and sustainable energy utilisation in rural coastline communities in the Niger delta zone of Nigeria. Energy Rep 4:638–644
Enders W, Lee J (2012) The flexible Fourier form and Dickey-Fuller type unit root tests. Econ Lett 117:196–199
Energy Information Administration (2017) US energy and employment report. https://www.energy.gov/sites/prod/files/2017/01/f34/2017%20US%20Energy%20and%20Jobs%20Report_0.pdf. Accessed 25 Mar 2020.
Energy Information Administration (2018) In 2016, U.S. energy expenditures per unit GDP were the lowest since at least 1970. https://www.eia.gov/todayinenergy/detail.php?id=36754. Accessed 25 Mar 2020.
Energy Information Administration (2020a) What is the United States’ share of world energy consumption? https://www.eia.gov/tools/faqs/faq.php?id=87&t=1. Accessed 24 Mar 2020.
Energy Information Administration (2020b) Petroleum and other liquids. https://www.eia.gov/totalenergy/data/monthly/index.php. Accessed 15 Mar 2020.
Engle RF, Granger CW (1987) Co-integration and error correction: representation, estimation, and testing. Econometrica 55:251–276
Ewing BT, Sari R, Soytas U (2007) Disaggregate energy consumption and industrial output in the United States. Energy Policy 35:1274–1281
Fang Y (2011) Economic welfare impacts from renewable energy consumption: the China experience. Renew Sustain Energy Rev 15:5120–5128
Federal Reserve Bank of St. Louis (2020) Federal reserve economic data. https://fred.stlouisfed.org/. Accessed 15 Mar 2020.
Fotis P, Polemis M (2018) Sustainable development, environmental policy and renewable energy use: a dynamic panel data approach. Sustain Dev 26:726–740
Geothermal Resources Council (2012) Geothermal basics: O&A. https://www.geothermal.org/PDFs/Geothermal_Basics_QandA.pdf. Accessed 25 Mar 2020.
Gregory AW, Hansen BE (1996) Residual-based tests for cointegration in models with regime shifts. J Econom 70:99–126
Hajko V, Sebri M, Al-Saidi M, Balsalobre-Lorente D (2018) The energy-growth nexus: history, development, and new challenges. In: Menegaki A (ed) The economics and econometrics of the energy-growth nexus. Elsevier Inc., United Kingdom, pp 3–48
Hatemi-J A (2008) Tests for cointegration with two unknown regime shifts with an application to financial market integration. Empir Econ 35:497–505
IEA (2019) Energy security. https://www.iea.org/areas-of-work/ensuring-energy-security. Accessed 14 Feb 2020.
Inglesi-Lotz R (2018) The role of potential factors/actors and regime switching modelling. In: Menegaki A (ed) The economics and econometrics of the energy-growth nexus. Elsevier Inc., United Kingdom, pp 113–139
Kocaarslan B, Soytas U (2019) Asymmetric pass-through between oil prices and the stock prices of clean energy firms: new evidence from a nonlinear analysis. Energy Rep 5:117–125
Koengkan M, Fuinhas JA, Santiago R (2020) The relationship between CO2 emissions, renewable and non-renewable energy consumption, economic growth, and urbanisation in the southern common market. J Environ Econ Policy 9:383–401
Lu J, Ren L, Yao S, Rong D, Skare M, Streimikis J (2020) Renewable energy barriers and coping strategies: evidence from the Baltic states. Sustain Dev 28:352–367
Menegaki AN (2018) Introduction. In: Menegaki A (ed) The economics and econometrics of the energy-growth nexus. Elsevier Inc., United Kingdom, pp xv–xxv
Menegaki AN, Tsani S (2018) Critical issues to be answered in the energy-growth nexus (egn) research field. In: Menegaki A (ed) The economics and econometrics of the energy-growth nexus. Elsevier Inc., United Kingdom, pp 141–184
Menyah K, Nazlioglu S, Wolde-Rufael Y (2014) Financial development, trade openness and economic growth in African countries: new insights from a panel causality approach. Econ Model 37:386–394
Narayan PK, Popp S (2010) A new unit root test with two structural breaks in level and slope at unknown time. J Appl Stat 37:1425–1438
NC Clean Energy Technology Center (2020) Find policies & incentives by state. https://www.dsireusa.org/. Accessed 15 Feb 2020.
Payne JE (2009) On the dynamics of energy consumption and output in the US. Appl Energy 86:575–577
Pesaran MH, Shin Y (1999) An autoregressive distributed lag modelling approach to cointegration analysis. In: Strom S (ed) Econometrics and econometric theory in the 20th century: the Ragnar Frisch centennial symposium. Cambridge University Press, Cambridge, pp 371–413
Pesaran MH, Shin Y, Smith RJ (2001) Bounds testing approach to the analysis of level relationships. J Appl Econom 16:289–326
Phillips PC (1987) Time series regression with a unit root. Econometrica 55:277–301
Saikkonen P (1991) Asymptotically efficient estimation of cointegration regressions. Econom Theo 7:1–21
Shahbaz M, Loganathan M, Zeshan M, Zaman K (2015) Does renewable energy consumption add in economic growth? An application of auto-regressive distributed lag model in Pakistan. Renew Sustain Energy Rev 44:576–585
Shahbaz M (2018) Current issues in time series analysis for the energy-growth nexus EGN; asymmetries and nonlinearities case study: Pakistan. In: Menegaki A (ed) The economics and econometrics of the energy-growth nexus. Elsevier Inc., United Kingdom, pp 229–253
Shahbaz M, Sinha A (2019) Environmental Kuznets curve for CO2 emissions: a literature survey. J Econ Stud 46:106–168
Solar Energy Industries Association (2019) United States surpasses 2 million solar installations. https://www.seia.org/news/united-states-surpasses-2-million-solar-installations. Accessed 25 Mar 2020.
Solow RM (1956) A contribution to the theory of economic growth. Quart J Econ 70:65–94
Strachan PA, Cowell R, Ellis G, Sherry-Brennan F, Toke D (2015) Promoting community renewable energy in a corporate energy world. Sustain Dev 23:96–109
Tabrizian S (2019) Technological innovation to achieve sustainable development-renewable energy technologies diffusion in developing countries. Sustain Dev 27:537–544
The Renewable Energy Hub USA (2020) Renewable energy incentives by state for the United States of America. https://www.renewableenergyhub.us/renewable-energy-incentives-for-the-usa.html. Accessed 15 Feb 2020.
The US Department of Energy (2014) Biomass fueling America’s growing clean energy economy. https://www.energy.gov/eere/articles/biomass-fueling-america-s-growing-clean-energy-economy. Accessed 25 Mar 2020.
The US Department of Energy (2020). Wind vision: a new era for wind power in the United States. https://www.energy.gov/eere/wind/wind-vision. Accessed 25 Mar 2020.
Think Geoenergy (2017) Geothermal providing system flexibility for America’s energy system and economy. https://www.thinkgeoenergy.com/geothermal-providing-system-flexibility-for-americas-energy-system-and-economy/. Accessed 25 Mar 2020.
Tiwari AK, Forte A, Garcia-Donato G, Menegaki AN (2018) Practical issues on energy-growth nexus data and variable selection with Bayesian analysis. In: Menegaki A (ed) The economics and econometrics of the energy-growth nexus. Elsevier Inc., United Kingdom, pp 187–227
Troster V, Shahbaz M, Uddin GS (2018) Renewable energy, oil prices, and economic activity: a Granger-causality in quantiles analysis. Energy Econ 70:440–452
Tsong CC, Lee CF, Tsai LJ, Hu TC (2016) The Fourier approximation and testing for the null of cointegration. Empir Econ 51:1085–1113
Tugcu CT (2018) Panel data analysis in the energy-growth nexus (EGN). In: Menegaki A (ed) The economics and econometrics of the energy-growth nexus. Elsevier Inc., United Kingdom, pp 255–271
Tugcu CT, Topcu M (2018) Total, renewable and non-renewable energy consumption and economic growth: revisiting the issue with an asymmetric point of view. Energy 152:64–74
Union of Concerned Scientists (2013) Renewable electricity standards deliver economic benefits. https://www.ucsusa.org/resources/renewable-electricity-standards-deliver-economic-benefits#.WoN7lq5l-Ul. Accessed 25 Mar 2020.
Uzar U (2020) Is income inequality a driver for renewable energy consumption? J Clean Prod 255:1–11
Westerlund J, Edgerton DL (2007) New improved tests for cointegration with structural breaks. J Time Ser Anal 28:188–224
World Bank (2020) World Bank open data. https://data.worldbank.org/. Accessed 24 Mar 2020.
Yildirim E, Sarac S, Aslan A (2012) Energy consumption and economic growth in the USA: evidence from renewable energy. Renew Sustain Energy Rev 16:6770–6774
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Umit Bulut: conceptualization, formal analysis, methodology, project administration, writing—original draft. Muhammad Shahbaz: conceptualization, data curation, investigation, writing—original draft. Xuan Vinh Vo: supervision, validation, writing—original draft.
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The original online version of this article was revised: Muhammad Shahbaz is not affiliated to COMSATS University of Islamabad.
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Bulut, U., Shahbaz, M. & Vo, X.V. Renewable energy-economic growth nexus revisited for the USA: do different approaches for modeling structural breaks lead to different findings?. Environ Sci Pollut Res 29, 30134–30144 (2022). https://doi.org/10.1007/s11356-021-17684-z
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DOI: https://doi.org/10.1007/s11356-021-17684-z