Abstract
The debate on ecological matters that relate to the biomass emissions nexus has gained prominence and different scholars have suggested various forms of policy directions to tackle the menace. This study seeks to contribute to this subject by examining the impact of biomass energy use on carbon dioxide pollution in the G7 economies context. Thus, to this end, we employed energy usage and GDP measured as economic growth which adds factors that can influence pollution for annual time-frequency between1995 and 2016 for the case of G7 economies. The present study adds to the extant literature by the adoption of the novel econometric techniques such as the panel cross-section augment ARDL and common correlated estimate mean group (CCEMG) to evaluate the impact of biomass energy on pollutants. The empirical results from all the techniques show that biomass energy consumption significantly and negatively correlates to CO2 emissions meaning that it helps to reduce pollution in the long run. On the other hand, there is a significant positive relationship between energy use and pollutants implying that the primary energy use is not favorable for environmental sustainability over the sampled period. Finally, the results proved that GDP increases CO2 emissions in the long run with respect to the G7 context. Thus, validating the growth-induced pollution hypothesis in G7 blocs. On causality relationship, we observe a unidirectional causal relationship between these variables: biomass and pollutants, pollutants and output, biomass and output, biomass and energy use, and output and energy use. While there was a bidirectional causality between energy use and pollutant, these results suggest policy implication for the G7 countries which indicates that stakeholders should give much attention to technological know-how and energy mix particularly biomass energy which is environmentally friendly as well as more paradigm shift to renewables.
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References
Adedoyin FF, Gumede MI, Bekun FV, Etokakpan MU, Balsalobre-lorente D (2020a) Modelling coal rent, economic growth and CO2 emissions: does regulatory quality matter in BRICS economies? Sci Total Environ 710:136284
Adedoyin F, Abubakar I, Bekun FV, Sarkodie SA (2020b) Generation of energy and environmental-economic growth consequences: is there any difference across transition economies? Energy Rep 6:1418–1427
Adedoyin FF, Alola AA, Bekun FV (2020c) An assessment of environmental sustainability corridor: the role of economic expansion and research and development in EU countries. Sci Total Environ 713:136726
Adewuyi AO, Awodumi OB (2017) Biomass energy consumption, economic growth and carbon emissions: fresh evidence from West Africa using a simultaneous equation model. Energy 119:453–471. https://doi.org/10.1016/j.energy.2016.12.059
Ahmad M, Zhao ZY (2018) Empirics on linkages among industrialization, urbanization, energy consumption, CO2 emissions and economic growth: a heterogeneous panel study of China. Environ Sci Pollut Res 25(30):30617–30632
Ahmed K, Pylsy P, Kurnitski J (2016) Hourly consumption profiles of domestic hot water for different occupant groups in dwellings. Solar Energy 137:516–530
Akbar U, Popp J, Khan H, Khan MA, Oláh J (2020a) Energy efficiency in transportation along with the belt and road countries. Energies 13(10):2607
Akbar U, Li QL, Akmal MA, Shakib M, Iqbal W (2020b) Nexus between agro-ecological efficiency and carbon emission transfer: evidence from China. Environ Sci Pollut Res 1–13
Al-Mulali U, Ozturk I, Lean HH (2015) The influence of economic growth, urbanization, trade openness, financial development, and renewable energy on pollution in Europe. Nat Hazards 79(1):621–644
Apergis N, Payne JE (2010a) Renewable energy consumption and economic growth: evidence from a panel of OECD countries. Energy policy 38(1):656–660
Apergis N, Payne JE (2010b) The renewable energy consumption-growth nexus in Central America. Appl Energy 88(1):343–347
Baležentis T, Streimikiene D, Zhang T, Liobikiene G (2019) The role of bioenergy in greenhouse gas emission reduction in EU countries: an environmental Kuznets curve modelling. Resour Conserv Recycl 142:225–231. https://doi.org/10.1016/j.resconrec.2018.12.019
Batuo M, Mlambo K, Asongu S (2018) Linkages between financial development, financial instability, financial liberalisation and economic growth in Africa. Res Int Bus Financ 45:168–179. https://doi.org/10.1016/j.ribaf.2017.07.148
Bildirici ME (2014) Relationship between biomass energy and economic growth in transition countries: panel ARDL approach. GCB Bioenergy 6:717–726. https://doi.org/10.1111/gcbb.12092
Bildirici M, Ozaksoy F (2017) The relationship between woody biomass consumption and economic growth: nonlinear ARDL and causality. J For Econ 27:60–69. https://doi.org/10.1016/j.jfe.2017.01.002
Bildirici M, Özaksoy F (2018) An analysis of biomass consumption and economic growth in transition countries. Econ Res Istraživanja 31:386–405. https://doi.org/10.1080/1331677X.2018.1427610
Bilgili F (2012) The impact of biomass consumption on CO 2 emissions: cointegration analyses with regime shifts. Renew Sust Energ Rev 16:5349–5354. https://doi.org/10.1016/j.rser.2012.04.021
Bilgili F, Öztürk İ, Koçak E, Bulut Ü, Pamuk Y, Muğaloğlu E, Bağlıtaş HH (2016) The influence of biomass energy consumption on CO2 emissions: a wavelet coherence approach. Environ. Sci. Pollut. Res 23:19043–19061. https://doi.org/10.1007/s11356-016-7094-2
Bilgili F, Koçak E, Bulut Ü, Kuşkaya S (2017) Can biomass energy be an efficient policy tool for sustainable development? Renew Sust Energ Rev 71:830–845. https://doi.org/10.1016/j.rser.2016.12.109
BP (2018). BP Statistical Review of World Energy 1–56. ( http://www.bp.com/en/global/corporate/energy-economics/statistical-reviewof-worldenergy/downloads.html)
BP Statistical Review of World Energy (2017) https://www.connaissancedesenergies.org/sites/default/files/pdf-actualites/bp-statistical-review-ofworld-energy-2017-full-report.pdf
Breusch TS, Pagan AR (1980) The Lagrange multiplier test and its applications to model specification in econometrics. Rev Econ Stud 47:239e53. https://doi.org/10.2307/2297111
Burg V, Bowman G, Haubensak M, Baier U, Thees O (2018) Valorization of an untapped resource: energy and greenhouse gas emissions benefits of converting manure to biogas through anaerobic digestion. Resour Conserv Recycl 136:53–62. https://doi.org/10.1016/j.resconrec.2018.04.004
Cetin MA (2018) Investigating the environmental Kuznets curve and the role of green energy: emerging and developed markets. International Journal of Green Energy 15(1):37–44
Chudik A, Mohaddes K, Pesaran MH, Raissi M (2016) Long-run effects in large heterogeneous panel data models with cross-sectionally correlated errors. Emerald Group Publishing Limited
Danish, Wang Z (2019) Does biomass energy consumption help to control environmental pollution? Evidence from BRICS countries. Sci. Total Environ 670:1075–1083. https://doi.org/10.1016/j.scitotenv.2019.03.268
Danish Zhang B, Wang Z, Wang B (2017) Energy production, economic growth and CO2 emission: evidence from Pakistan. Nat Hazards 90:27–50. https://doi.org/10.1007/s11069-017-3031-z
Dickey DA, Fuller WA (1981) Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: Journal of the Econometric Society 49:1057–1072
Dogan E, Inglesi-Lotz R (2017) Analyzing the effects of real income and biomass energy consumption on carbon dioxide (CO2) emissions: empirical evidence from the panel of biomass-consuming countries. Energy 138:721–727. https://doi.org/10.1016/j.energy.2017.07.136
Dogan E, Inglesi-Lotz R, Inglesi Lotz R, Inglesi-Lotz R, Inglesi Lotz R, Inglesi-Lotz R (2017) Analyzing the effects of real income and biomass energy consumption on carbon dioxide (CO2) emissions: empirical evidence from the panel of biomass-consuming countries. Energy 138:721–727. https://doi.org/10.1016/j.energy.2017.07.136
Dong K, Sun R, Dong X (2018) CO2 emissions, natural gas and renewables, economic growth: assessing the evidence from China. Sci Total Environ 640–641:293–302. https://doi.org/10.1016/j.scitotenv.2018.05.322
Dumitrescu EI, Hurlin C (2012) Testing for Granger non-causality in heterogeneous panels. Econ Model 29(4):1450–1460. https://doi.org/10.1016/j.econmod.2012.02.014
Etokakpan MU, Adedoyin F, Vedat Y, Bekun FV (2020) Does globalization in Turkey induce increased energy consumption: insights into its environmental pros and cons. Environ Sci Pollut Res 27:26125–26140
Foster V, Tre JP, Wodon Q (2000) Energy consumption and income: an inverted U- at the household level? The World Bank
Gao J, Zhang L (2020) Does biomass energy consumption mitigate CO2 emissions? The role of economic growth and urbanization: evidence from developing Asia. Journal of the Asia Pacific Economy:1–20. https://doi.org/10.1080/13547860.2020.1717902
Gyamfi BA, Bein AM, Bekun VF (2020) Investigating the nexus between hydroelectricity energy, renewable energy, non-renewable energy consumption on output: evidence from E7 countries. Environ Sci Pollut Res 27:25327–25339. https://doi.org/10.1007/s11356-020-08909-8
He LY, Hou B, Liao H (2018) Rural energy policy in China: achievements, challenges and ways forward during the 40-year rural reform. China Agric Econ Rev 10:224–240. https://doi.org/10.1108/CAER-10-2017-0190
Herbert GJ, Krishnan AU (2016) Quantifying environmental performance of biomass energy. Renew Sust Energ Rev 59:292–308
Hille E, Shahbaz M, Moosa I (2019) The impact of FDI on regional air pollution in the Republic of Korea: a way ahead to achieve the green growth strategy? Energy Econ 81:308–326. https://doi.org/10.1016/j.eneco.2019.04.004
IEA (2016) International Energy Agency Bioenergy Countries’ Report Bioenergy policies and status of implementation. http://www.ieabioenergy.com/wp-content/uploads/2016/09/IEABioenergy-Countries-Report-23.09.2016-1.pdf
Im KS, Pesaran MH, Shin Y (2003) Testing for unit roots in heterogeneous panels. J Econom 115(1):53–74
IPCC (2016) IPCC report graphics. Retrieved from. https://www.ipcc.ch/report/graphics/index.php?t=Assessment%20Reports&r=AR5%20-%20Synthesis%20Report&f=SPM
IPPC (2014) Synthesis report. Contribution of working groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva, Switzerland. https://doi.org/10.1046/j.1365-2559.2002.1340a.x
Katircioglu ST (2015) The impact of biomass consumption on CO2 emissions an empirical investigation from Turkey. Int. J. Clim. Chang. Strateg. Manag. Artic. Inf 7:348–358. https://doi.org/10.1108/IJCCSM-06-2014-0077
Kim G, Choi SK, Seok JH (2020) Does biomass energy consumption reduce total energy CO2 emissions in the US? J Policy Model 42:953–967
Kirikkaleli D, Adedoyin FF, Bekun FV (2020) Nuclear energy consumption and economic growth in the UK: evidence from wavelet coherence approach. J Public Affairs e2130
Liobikien G, Butkus M (2018) Scale, composition, and technique effects through which the economic growth, foreign direct investment, urbanization, and trade affect greenhouse gas emissions. Renew Energy 132:1310–1322. https://doi.org/10.1016/j.renene.2018.09.032
Mahmood N, Wang Z, Yasmin N, Manzoor W, Rahman A (2019) How to bend down the environmental Kuznets curve: the significance of biomass energy. Environ Sci Pollut Res 26:21598–21608. https://doi.org/10.1007/s11356-019-05442-1
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. https://doi.org/10.1016/j.scitotenv.2018.04.173
Owusu PA, Asumadu-Sarkodie S (2016) A review of renewable energy sources, sustainability issues and climate change mitigation. Cogent Eng 3:1–14. https://doi.org/10.1080/23311916.2016.1167990
Ozturk I, Acaravci A (2009) On the causality between tourism growth and economic growth: empirical evidence from Turkey. Transylvanian Review of Administrative Sciences 5(25):73–81
Pesaran MH (2006) Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica 74(4):967–1012
Pesaran MH (2007) A simple panel unit root test in the presence of cross-section dependence. J Appl Econ 22(2):265–312
Pesaran MH (2015) Testing weak cross-sectional dependence in large panels. Econom Rev 34(6–10):1089–1117
Pesaran MH, Shin Y (1998) An autoregressive distributed-lag modelling approach to cointegration analysis. Econom Soc Monogr 31:371–413
Ren S, Yuan B, Ma X, Chen X (2014) International trade, FDI (foreign direct investment) and embodied CO2 emissions: a case study of China’s industrial sectors. China Econ Rev 28:123–134. https://doi.org/10.1016/j.chieco.2014.01.003
Sadorsky P (2009) Renewable energy consumption and income in emerging economies. Energy policy 37(10):4021–4028
Sarkodie SA, Strezov V, Weldekidan H, Asamoah EF, Owusu PA, Doyi INY (2019) Environmental sustainability assessment using dynamic autoregressive-distributed lag simulations — nexus between greenhouses gas emissions, biomass energy, food and economic growth. Sci Total Environ 668:318–332. https://doi.org/10.1016/j.scitotenv.2019.02.432
Sarpong SY, Bein MA (2020) The relationship between good governance and CO2 emissions in oil-and non-oil-producing countries: a dynamic panel study of sub-Saharan Africa. Environ Sci Pollut Res Int 27:21986–22003
Shahbaz M, Nasreen S, Abbas F, Anis O (2015) Does foreign direct investment impede environmental quality in high-, middle-, and low-income countries? Energy Econ 51:275–287. https://doi.org/10.1016/j.eneco.2015.06.014
Shahbaz M, Solarin SA, Hammoudeh S, Shahzad SJH, Adebola S, Hammoudeh S, Jawad S, Shahzad H (2017) Bounds testing approach to analyzing the environment Kuznets curve hypothesis with structural beaks: the role of biomass energy consumption in the United States. Energy Econ 68:548–565. https://doi.org/10.1016/j.eneco.2017.10.004
Shahbaz M, Balsalobre D, Shahzad SJH (2019) The influencing factors of CO2 emissions and the role of biomass energy consumption: statistical experience from G-7 countries. Environ Model Assess 24(2):143–161. https://doi.org/10.1007/s10666-018-9620-8
Shao Q, Rao L (2018) The rebound effect of dematerialization and decoupling: a case of energy efficiency. Chinese J Popul Resour Environ 16:299–313. https://doi.org/10.1080/10042857.2018.1544755
Solarin SA, Al-Mulali U, Gan GGG, Shahbaz M, Goh G, Gan GGG, Shahbaz M (2018) The impact of biomass energy consumption on pollution: evidence from 80 developed and developing countries. Environ Sci Pollut Res 1–17:22641–22657. https://doi.org/10.1007/s11356-018-2392-5
Sulaiman C, Abdul-Rahim AS, Ofozor CA (2020) Does wood biomass energy use reduce CO2 emissions in European Union member countries? Evidence from 27 members. J Clean Prod 253:119996
Sun J, Peng H, Chen J, Wang X, Wei MLW, Mellouki A (2016) An estimation of CO2 emission via agricultural crop residue open field burning in China from 1996 to 2013. J Clean Prod 112:2625–2631
Udi J, Bekun FV, Adedoyin FF (2020) Modeling the nexus between coal consumption, FDI inflow and economic expansion: does industrialization matter in South Africa? Environ Sci Pollut Res 1–12
Ulucak R (2020a) Linking biomass energy and CO2 emissions in China using dynamic autoregressive-distributed lag simulations. J Clean Prod 250:119533
Ulucak R (2020b) Linking biomass energy and CO2 emissions in China using dynamic autoregressive-distributed lag simulations. J Clean Prod 250:119533
Victor NM, Victor DG (2002) Macro patterns in the use of traditional biomass fuels, working paper. Program on Energy and Sustainable Development, Stanford
Wang Z, Huang W, Chen Z (2019) The peak of CO2 emissions in China: a new approach using survival models. Energy Econ 81:1099–1108. https://doi.org/10.1016/j.eneco.2019.05.027
Wang L, Vo XV, Shahbaz M, Ak A (2020a) Globalization and carbon emissions: is there any role of agriculture value-added, financial development, and natural resource rent in the aftermath of COP21? J Environ Manag 268:110712
Wang Z, Bui Q, Zhang B (2020b) The relationship between biomass energy consumption and human development: empirical evidence from BRICS countries. Energy 194:116906
Westerlund J (2007) Testing for error correction in panel data. Oxf Bull Econ Stat 69(6):709–748
World Bank (2012). World Dev. Indic. (https://databank.worldbank.org/home.aspx)
World Bank (2019). World Bank. World Dev. Indic. (https://databank.worldbank.org/home.aspx)
Zhang Y, Zhang S (2018) The impacts of GDP, trade structure, exchange rate and FDI inflows on China’s carbon emissions. Energy Policy 120:347–353. https://doi.org/10.1016/j.enpol.2018.05.056
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Bright Akwasi Gyamfi: investigation, methodology, writing-original draft, software, conceptualization
Steve Yaw Sarpong: formal analysis, investigation, writing-original draft, writing-review and editing
Murad A. Bein: supervision, validation
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Gyamfi, B.A., Sarpong, S.Y. & Bein, M.A. The contribution of the anthropogenic impact of biomass utilization on ecological degradation: revisiting the G7 economies. Environ Sci Pollut Res 28, 11016–11029 (2021). https://doi.org/10.1007/s11356-020-11073-8
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DOI: https://doi.org/10.1007/s11356-020-11073-8