How does the EU's COVID-19 economic recession impact the renewable energy of other countries? The spillover effect

Energy Strategy Reviews - Tập 40 - Trang 100825 - 2022
Rongrong Li1,2,3, Fuyu Zhang1,3, Qiang Wang1,2,3
1School of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, People's Republic of China
2School of Economics and Management, Tiangong University, Tianjin, 300387, People’s Republic of China
3Institute for Energy Economics and Policy, China University of Petroleum (East China), Qingdao, 266580, People's Republic of China

Tài liệu tham khảo

Wang, 2021, Preventing a rebound in carbon intensity post-COVID-19 – lessons learned from the change in carbon intensity before and after the 2008 financial crisis, Sustain. Prod. Consum., 27, 1841, 10.1016/j.spc.2021.04.024 2021 Klemea, 2020, Minimising the present and future plastic waste, energy and environmental footprints related to COVID-19, Renew. Sustain. Energy Rev., 127 Jiang, 2021, Impacts of COVID-19 on energy demand and consumption: challenges, lessons and emerging opportunities, Appl. Energy, 285, 10.1016/j.apenergy.2021.116441 Le Quéré, 2020, Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement, Nat. Clim. Change, 10, 647, 10.1038/s41558-020-0797-x 2020 Hosseini, 2020, An outlook on the global development of renewable and sustainable energy at the time of COVID-19, Energy Res. Social Sci., 68, 10.1016/j.erss.2020.101633 Bhattacharya, 2016, The effect of renewable energy consumption on economic growth: evidence from top 38 countries, Appl. Energy, 162, 733, 10.1016/j.apenergy.2015.10.104 Nicola, 2020, The socio-economic implications of the coronavirus pandemic (COVID-19): a review, Int. J. Surg., 78, 185, 10.1016/j.ijsu.2020.04.018 Hartono, 2021, Effect of COVID-19 on energy consumption and carbon dioxide emissions in Indonesia, Sustain. Prod. Consum., 28, 391, 10.1016/j.spc.2021.06.003 Aktar, 2021, Global economic crisis, energy use, CO2 emissions, and policy roadmap amid COVID-19, Sustain. Prod. Consum., 26, 770, 10.1016/j.spc.2020.12.029 Hoang, 2021, Impacts of COVID-19 pandemic on the global energy system and the shift progress to renewable energy: opportunities, challenges, and policy implications, Energy Pol., 154, 10.1016/j.enpol.2021.112322 2021 Wang, 2022, Underestimated impact of the COVID-19 on carbon emission reduction in developing countries – a novel assessment based on scenario analysis, Environ. Res., 204, 10.1016/j.envres.2021.111990 Balsalobre-Lorente, 2021, The carbon dioxide neutralizing effect of energy innovation on international tourism in EU-5 countries under the prism of the EKC hypothesis, J. Environ. Manag., 298, 10.1016/j.jenvman.2021.113513 Ivanov, 2021, OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: managerial insights and research implications, Int. J. Prod. Econ., 232, 10.1016/j.ijpe.2020.107921 Karmaker, 2021, Improving supply chain sustainability in the context of COVID-19 pandemic in an emerging economy: exploring drivers using an integrated model, Sustain. Prod. Consum., 26, 411, 10.1016/j.spc.2020.09.019 Eroglu, 2020, 1 Leitão, 2020, The linkage between economic growth, renewable energy, tourism, CO2 emissions, and international trade: the evidence for the European union, Energies, 13, 4838, 10.3390/en13184838 Shah, 2021, Regime switching effect of COVID-19 pandemic on renewable electricity generation in Denmark, Renew. Energy, 175, 797, 10.1016/j.renene.2021.05.028 Deshwal, 2021, How will COVID-19 impact renewable energy in India? Exploring challenges, lessons and emerging opportunities, Energy Res. Social Sci., 77, 10.1016/j.erss.2021.102097 Naderipour, 2020, Effect of COVID-19 virus on reducing GHG emission and increasing energy generated by renewable energy sources: a brief study in Malaysian context, Environ. Technol. Innovat., 20 Jia, 2021, The effects and reacts of COVID-19 pandemic and international oil price on energy, economy, and environment in China, Appl. Energy, 302, 10.1016/j.apenergy.2021.117612 Leitão, 2021, The effects of corruption, renewable energy, trade and CO2 emissions, Economies, 9, 62, 10.3390/economies9020062 Leitão, 2021, The impact of renewable energy and economic complexity on carbon emissions in BRICS countries under the EKC scheme, Energies, 14, 4908, 10.3390/en14164908 Jebli, 2016, Testing environmental Kuznets curve hypothesis: the role of renewable and non-renewable energy consumption and trade in OECD countries, Ecol. Indicat., 60, 824, 10.1016/j.ecolind.2015.08.031 Wang, 2022, Renewable energy and economic growth revisited: the dual roles of resource dependence and anticorruption regulation, J. Clean. Prod., 337, 10.1016/j.jclepro.2022.130514 Inglesi-Lotz, 2016, The impact of renewable energy consumption to economic growth: a panel data application, Energy Econ., 53, 58, 10.1016/j.eneco.2015.01.003 Sadorsky, 2009, Renewable energy consumption and income in emerging economies, Energy Pol., 37, 4021, 10.1016/j.enpol.2009.05.003 Santiago, 2020, The relationship between public capital stock, private capital stock and economic growth in the Latin American and Caribbean countries, Int. Rev. Econ., 67, 293, 10.1007/s12232-019-00340-x Frondel, 2010, Economic impacts from the promotion of renewable energy technologies: the German experience, Energy Pol., 38, 4048, 10.1016/j.enpol.2010.03.029 Menegaki, 2011, Growth and renewable energy in Europe: a random effect model with evidence for neutrality hypothesis, Energy Econ., 33, 257, 10.1016/j.eneco.2010.10.004 Chica-Olmo, 2020, Spatial relationship between economic growth and renewable energy consumption in 26 European countries, Energy Econ., 92, 10.1016/j.eneco.2020.104962 Eickmeier, 2011 Chudik, 2010 Samargandi, 2020, Equity market and money supply spillovers and economic growth in BRICS economies: a global vector autoregressive approach, N. Am. J. Econ. Finance, 51, 10.1016/j.najef.2019.101060 Samargandi, 2016, Private credit spillovers and economic growth: evidence from BRICS countries, J. Int. Financ. Mark. Inst. Money, 44, 56, 10.1016/j.intfin.2016.04.010 Mohaddes, 2016, Country-specific oil supply shocks and the global economy: a counterfactual analysis, Energy Econ., 59, 382, 10.1016/j.eneco.2016.08.007 Dees, 2016, Credit, asset prices and business cycles at the global level, Econ. Modell., 54, 139, 10.1016/j.econmod.2015.12.027 Bettendorf, 2019, Spillover effects of credit default risk in the euro area and the effects on the Euro: a GVAR approach, Int. J. Finance Econ., 24, 296, 10.1002/ijfe.1663 Gurara, 2013 Feldkircher, 2012 Chudik, 2016 Wang, 2022, Does urbanization redefine the environmental Kuznets curve? An empirical analysis of 134 Countries, Sustain. Cities Soc., 76, 10.1016/j.scs.2021.103382 2021 2021 2021 Li, 2021, Per-capita carbon emissions in 147 countries: the effect of economic, energy, social, and trade structural changes, Sustain. Prod. Consum., 27, 1149, 10.1016/j.spc.2021.02.031 Maddala, 1999, A comparative study of unit root tests with panel data and a new simple test, Oxf. Bull. Econ. Stat., 61, 631, 10.1111/1468-0084.0610s1631 Park, 1995, Alternative estimators and unit root tests for the autoregressive process, J. Time Anal., 16, 415, 10.1111/j.1467-9892.1995.tb00243.x Wang, 2022, Official development assistance and carbon emissions of recipient countries: a dynamic panel threshold analysis for low- and lower-middle-income countries, Sustain. Prod. Consum., 29, 158, 10.1016/j.spc.2021.09.015 Johansen, 1992, Cointegration in partial systems and the efficiency of single-equation analysis, J. Econom., 52, 389, 10.1016/0304-4076(92)90019-N Zhou, 2019, Investigating interior driving factors and cross-industrial linkages of carbon emission efficiency in China's construction industry: based on Super-SBM DEA and GVAR model, J. Clean. Prod., 241, 10.1016/j.jclepro.2019.118322 Umechukwu, 2022, US oil supply shocks and economies of oil-exporting African countries: a GVAR-Oil Resource Analysis, Resour. Pol., 75, 10.1016/j.resourpol.2021.102480 Ploberger, 1992 Nyblom, 1989, Testing for the constancy of parameters over time, J. Am. Stat. Assoc., 84, 223, 10.1080/01621459.1989.10478759 Quandt, 1960, Tests of the hypothesis that a linear regression system obeys two separate regimes, J. Am. Stat. Assoc., 55, 324, 10.1080/01621459.1960.10482067 Hansen, 1992, Tests for parameter instability in regressions with I(1) processes, J. Bus. Econ. Stat., 10, 321 Andrews, 1992, Optimal tests when a nuisance parameter is present only under the alternative, Econometrica, 62, 1383, 10.2307/2951753 Koop, 1996, Impulse response analysis in nonlinear multivariate models, J. Econom., 74, 119, 10.1016/0304-4076(95)01753-4 Pesaran, 1998, Generalized impulse response analysis in linear multivariate models, Econ. Lett., 58, 17, 10.1016/S0165-1765(97)00214-0 2021 Li, 2022, Germany's contribution to global carbon reduction might be underestimated – a new assessment based on scenario analysis with and without trade, Technol. Forecast. Soc. Change, 176, 10.1016/j.techfore.2021.121465 Asafu-Adjaye, 2000, The relationship between energy consumption, energy prices and economic growth: time series evidence from Asian developing countries, Energy Econ., 22, 615, 10.1016/S0140-9883(00)00050-5 Gaspar, 2017, The traditional energy-growth nexus: a comparison between sustainable development and economic growth approaches, Ecol. Indicat., 75, 286, 10.1016/j.ecolind.2016.12.048 Tsionas, 2016, Bayesian GVAR with k-endogenous dominants & input–output weights: financial and trade channels in crisis transmission for BRICs, J. Int. Financ. Mark. Inst. Money, 42, 1, 10.1016/j.intfin.2016.01.001 2021 Jing, 2020, China's renewable energy trade potential in the "Belt-and-Road" countries: a gravity model analysis, Renew. Energy, 161, 1025, 10.1016/j.renene.2020.06.134 Wang, 2021, The effects of trade openness on decoupling carbon emissions from economic growth – evidence from 182 countries, J. Clean. Prod., 279, 10.1016/j.jclepro.2020.123838 Murshed, 2020, Are trade liberalization policies aligned with renewable energy transition in low and middle income countries? An instrumental variable approach, Renew. Energy, 151, 1110, 10.1016/j.renene.2019.11.106 Wang, 2021, Integrating digital technologies and public health to fight covid-19 pandemic: key technologies, applications, challenges and outlook of digital healthcare, Int. J. Environ. Res. Publ. Health, 18, 6053, 10.3390/ijerph18116053 Chudik, 2016, Theory and practice of GVAR modelling, J. Econ. Surv., 30, 165, 10.1111/joes.12095 Assaf, 2019, Modeling and forecasting regional tourism demand using the bayesian global vector autoregressive (BGVAR) model, J. Trav. Res., 58, 383, 10.1177/0047287518759226