Clean energy development in the United States amidst augmented socioeconomic aspects and country-specific policies

Renewable Energy - Tập 169 - Trang 221-230 - 2021
Andrew Adewale Alola1,2, Seyi Saint Akadiri3
1Department of Economics and Finance, Istanbul Gelisim University, Istanbul, Turkey
2Department of Financial Technologies, South Ural State University, Chelyabinsk, Russia
3Research Development, Central Bank of Nigeria, Abuja, Nigeria

Tài liệu tham khảo

Adedoyin, 2020, Structural breaks in CO2 emissions: are they caused by climate change protests or other factors?, J. Environ. Manag., 266, 110628 Aguirre, 2014, Determinants of renewable energy growth: a global sample analysis, Energy Pol., 69, 374, 10.1016/j.enpol.2014.02.036 Ahmed, 2019, Militarisation, energy consumption, CO2 emissions and economic growth in Myanmar, Defence Peace Econ., 1 Alola, 2018, Agricultural land usage and tourism impact on renewable energy consumption among Coastline Mediterranean Countries, Energy Environ., 29, 1438, 10.1177/0958305X18779577 Alola, 2019, The role of renewable energy, immigration and real income in environmental sustainability target. Evidence from Europe largest states, Sci. Total Environ., 674, 307, 10.1016/j.scitotenv.2019.04.163 Alola, 2019, The trilemma of trade, monetary and immigration policies in the United States: accounting for environmental sustainability, Sci. Total Environ., 658, 260, 10.1016/j.scitotenv.2018.12.212 Alola, 2019, Carbon emissions and the trilemma of trade policy, migration policy and health care in the US, Carbon Manag., 10, 209, 10.1080/17583004.2019.1577180 Antonakakis, 2014, Dynamic spillovers of oil price shocks and economic policy uncertainty, Energy Econ., 44, 433, 10.1016/j.eneco.2014.05.007 Balcilar, 2019, The impact of energy market uncertainty shocks on energy transition in Europe, Energy J., 40, 10.5547/01956574.40.SI1.mbal Brown, 1975, Techniques for testing the constancy of regression relationships over time, J. Roy. Stat. Soc. B, 37, 149 Carlsnaes, 1988, 69 Chen, 2018, Factors influencing renewable energy consumption in China: an empirical analysis based on provincial panel data, J. Clean. Prod., 174, 605, 10.1016/j.jclepro.2017.11.011 Deutch, 2006 Economic Policy Uncertainty Engle, 1987, Co-integration and error correction: representation, estimation, and testing, Econometrica: journal of the Econometric Society, 251, 10.2307/1913236 Frutos-Bencze, 2019 Granger, 1988, Some recent development in a concept of causality, J. Econom., 39, 199, 10.1016/0304-4076(88)90045-0 Jha, 2013 Johansen, 1990, Maximum likelihood estimation and inference on cointegration—with applications to the demand for money, Oxf. Bull. Econ. Stat., 52, 169, 10.1111/j.1468-0084.1990.mp52002003.x Johansen, 1988, Statistical analysis of cointegration vectors, J. Econ. Dynam. Contr., 12, 231, 10.1016/0165-1889(88)90041-3 Kang, 2017, Oil price shocks and policy uncertainty: new evidence on the effects of US and non-US oil production, Energy Econ., 66, 536, 10.1016/j.eneco.2017.01.027 Kirikkaleli, 2020, Nuclear energy consumption and economic growth in the UK: evidence from wavelet coherence approach, J. Publ. Aff. Lin, 2016, Factors influencing renewable electricity consumption in China, Renew. Sustain. Energy Rev., 55, 687, 10.1016/j.rser.2015.11.003 Marques, 2010, Motivations driving renewable energy in European countries: a panel data approach, Energy Pol., 38, 6877, 10.1016/j.enpol.2010.07.003 Mohamed, 2019, Renewable and fossil energy, terrorism, economic growth, and trade: evidence from France, Renew. Energy, 139, 459, 10.1016/j.renene.2019.02.096 Omri, 2014, On the determinants of renewable energy consumption: international evidence, Energy, 72, 554, 10.1016/j.energy.2014.05.081 Ozturk, 2016, Biofuel, sustainability, and forest indicators’ nexus in the panel generalized method of moments estimation: evidence from 12 developed and developing countries, Biofuels, Bioproducts and Biorefining, 10, 150, 10.1002/bbb.1628 Papież, 2018, Determinants of renewable energy development in the EU countries. A 20-year perspective, Renew. Sustain. Energy Rev., 91, 918, 10.1016/j.rser.2018.04.075 Pesaran, 1998, An autoregressive distributed-lag modelling approach to cointegration analysis, Econometric Society Monographs, 31, 371 Pesaran, 2001, Bounds testing approaches to the analysis of level relationships, J. Appl. Econom., 16, 289, 10.1002/jae.616 Phillips, 1990, Statistical inference in instrumental variables regression with I (1) processes, Rev. Econ. Stud., 57, 99, 10.2307/2297545 Rafindadi, 2016, Effects of financial development, economic growth and trade on electricity consumption: evidence from post-Fukushima Japan, Renew. Sustain. Energy Rev., 54, 1073, 10.1016/j.rser.2015.10.023 Sadorsky, 2009, Renewable energy consumption and income in emerging economies, Energy Pol., 37, 4021, 10.1016/j.enpol.2009.05.003 Saikkonen, 1992, Estimation and testing of cointegrated systems by an autoregressive approximation, Econom. Theor., 8, 1, 10.1017/S0266466600010720 Saint Akadiri, 2019, Renewable energy consumption in EU-28 countries: policy toward pollution mitigation and economic sustainability, Energy Pol., 132, 803, 10.1016/j.enpol.2019.06.040 Sohag, 2019, Green economic growth, cleaner energy and militarization: evidence from Turkey, Resour. Pol., 63, 101407, 10.1016/j.resourpol.2019.101407 Stadelmann, 2014, Climate policy innovation in the South–Domestic and international determinants of renewable energy policies in developing and emerging countries, Global Environ. Change, 29, 413, 10.1016/j.gloenvcha.2014.04.011 Stock, 1993, A simple estimator of cointegrating vectors in higher order integrated systems, Econometrica: Journal of the Econometric Society, 783, 10.2307/2951763