Novel research methods to evaluate renewable energy and energy-related greenhouse gases: evidence from BRICS economies

References

• Abban, O. J., Wu, J., & Mensah, I. A. (2020). Analysis on the nexus amid CO2 emissions, energy intensity, economic growth, and foreign direct investment in Belt and Road economies: Does the level of income matter? Environmental Science and Pollution Research International, 27(10), 11387–11402.
   PubMed Web of Science ®Google Scholar
• Akram, R., Majeed, M. T., Fareed, Z., Khalid, F., & Ye, C. (2020). Asymmetric effects of energy efficiency and renewable energy on carbon emissions of BRICS economies: Evidence from nonlinear panel autoregressive distributed lag model. Environmental Science & Pollution Research, 27(15).
   Web of Science ®Google Scholar
• Ang, J. B. (2007). CO2 emissions, energy consumption, and output in France. Energy policy, 35(10), 4772–4778. https://doi.org/10.1016/j.enpol.2007.03.032
   Google Scholar
• Anwar, A., Siddique, M., Dogan, E., & Sharif, A. (2021). The moderating role of renewable and non-renewable energy in environment-income nexus for ASEAN countries: Evidence from Method of Moments Quantile Regression. Renewable Energy, 164, 956–967. https://doi.org/10.1016/j.renene.2020.09.128
   Web of Science ®Google Scholar
• Azevedo, V. G., Sartori, S., & Campos, L. M. (2018). CO2 emissions: A quantitative analysis among the BRICS nations. Renewable and Sustainable Energy Reviews, 81, 107–115. https://doi.org/10.1016/j.rser.2017.07.027
   Web of Science ®Google Scholar
• Balsalobre-Lorente, D., Gokmenoglu, K. K., Taspinar, N., & Cantos-Cantos, J. M. (2019). An approach to the pollution haven and pollution halo hypotheses in MINT countries. Environmental Science and Pollution Research, 26(22), 23010–23026. https://doi.org/10.1007/s11356-019-05446-x
   PubMed Web of Science ®Google Scholar
• Bayar, Y., & Gavriletea, M. D. (2019). Energy efficiency, renewable energy, economic growth: Evidence from emerging market economies. Quality & Quantity, 53(4), 2221–2234. https://doi.org/10.1007/s11135-019-00867-9
   Google Scholar
• BP. (2018). Statistical review of world energy. https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html
   Google Scholar
• Chang, M. C. (2015). Room for improvement in low carbon economies of G7 and BRICS countries based on the analysis of energy efficiency and environmental Kuznets curves. Journal of Cleaner Production, 99, 140–151. https://doi.org/10.1016/j.jclepro.2015.03.002
   Web of Science ®Google Scholar
• Cheng, C., Ren, X., Wang, Z., & Yan, C. (2019). Heterogeneous impacts of renewable energy and environmental patents on CO2 emission – Evidence from the BRIICS. Science of the total environment, 668, 1328–1338.
   PubMed Web of Science ®Google Scholar
• de Castro Camioto, F., Moralles, H. F., Mariano, E. B., & do Nascimento Rebelatto, D. A. (2016). Energy efficiency analysis of G7 and BRICS considering total-factor structure. Journal of Cleaner Production, 122, 67–77.
   Web of Science ®Google Scholar
• Destek, M. A. (2016). Renewable energy consumption and economic growth in newly industrialized countries: Evidence from asymmetric causality test. Renewable Energy, 95, 478–484. https://doi.org/10.1016/j.renene.2016.04.049
   Web of Science ®Google Scholar
• Dong, K., Sun, R., & Hochman, G. (2017). Do natural gas and renewable energy consumption lead to less CO2 emission? Empirical evidence from a panel of BRICS countries. Energy, 141, 1466–1478. https://doi.org/10.1016/j.energy.2017.11.092
   Web of Science ®Google Scholar
• Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic modelling, 29(4), 1450–1460.
   Web of Science ®Google Scholar
• European Commission. (2016). The macroeconomic and other benefits of energy efficiency. European Commission.
   Google Scholar
• Grossman, G. M., & Krueger, A. B. (1991). Environmental impacts of a North American free trade agreement.
   Google Scholar
• Hassan, T., Song, H., Khan, Y., & Kirikkaleli, D. (2022a). Energy efficiency a source of low carbon energy sources? Evidence from 16 high-income OECD economies. Energy, 243, 123063. https://doi.org/10.1016/j.energy.2021.123063
   Google Scholar
• Hassan, T., Song, H., & Kirikkaleli, D. (2022b). International trade and consumption-based carbon emissions: Evaluating the role of composite risk for RCEP economies. Environmental Science and Pollution Research, 29(3), 3417–3437. https://doi.org/10.1007/s11356-021-15617-4
   PubMed Web of Science ®Google Scholar
• Iftikhar, Y., He, W., & Wang, Z. (2016). Energy and CO2 emissions efficiency of major economies: A non-parametric analysis. Journal of Cleaner Production, 139, 779–787.
   Web of Science ®Google Scholar
• Ike, G. N., Usman, O., & Sarkodie, S. A. (2020). Testing the role of oil production in the environmental Kuznets curve of oil producing countries: New insights from method of moments quantile regression. Science of the Total Environment, 711, 135208.
   PubMed Web of Science ®Google Scholar
• Jiang, J., Ye, B., Xie, D., & Tang, J. (2017). Provincial-level carbon emission drivers and emission reduction strategies in China: Combining multi-layer LMDI decomposition with hierarchical clustering. Journal of Cleaner Production, 169, 178–190.
   Web of Science ®Google Scholar
• Khan, Z., Hussain, M., Shahbaz, M., Yang, S., & Jiao, Z. (2020). Natural resource abundance, technological innovation, and human capital nexus with financial development: A case study of China. Resources Policy, 65, 101585. https://doi.org/10.1016/j.resourpol.2020.101585
   Web of Science ®Google Scholar
• Khan, Z., Sisi, Z., & Siqun, Y. (2019). Environmental regulations an option: Asymmetry effect of environmental regulations on carbon emissions using non-linear ARDL. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 41(2), 137–155.
   Web of Science ®Google Scholar
• Koçak, E., & Ulucak, Z. Ş. (2019). The effect of energy R&D expenditures on CO2 emission reduction: Estimation of the STIRPAT model for OECD countries. Environmental Science and Pollution Research, 26(14), 14328–14338.
   PubMed Web of Science ®Google Scholar
• Li, T., Wang, Y., & Zhao, D. (2016). Environmental Kuznets curve in China: New evidence from dynamic panel analysis. Energy Policy, 91, 138–147.
   Web of Science ®Google Scholar
• Liddle, B. (2011). Consumption-driven environmental impact and age structure change in OECD countries: A cointegration-STIRPAT analysis. Demographic Research, 24, 749–770. https://doi.org/10.4054/DemRes.2011.24.30
   Web of Science ®Google Scholar
• Liddle, B. (2013a). Population, affluence, and environmental impact across development: Evidence from panel cointegration modeling. Environmental Modelling & Software, 40, 255–266.
   Web of Science ®Google Scholar
• Liddle, B. (2015). What are the carbon emissions elasticities for income and population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates. Global Environmental Change, 31, 62–73. https://doi.org/10.1016/j.gloenvcha.2014.10.016
   Web of Science ®Google Scholar
• Liddle, B. (2017). The urbanization, development, environment, and inequality nexus: Stylized facts and empirical relationships. think-asia.org.
   Google Scholar
• Liddle, B., & Lung, S. (2010). Age-structure, urbanization, and climate change in developed countries: revisiting STIRPAT for disaggregated population and consumption-related environmental impacts. Population and Environment, 31(5), 317–343. https://doi.org/10.1007/s11111-010-0101-5
   Google Scholar
• Lin, B., & Moubarak, M. (2014). Renewable energy consumption–economic growth nexus for China. Renewable and Sustainable Energy Reviews, 40, 111–117.
   Web of Science ®Google Scholar
• Liu, X., Zhang, S., & Bae, J. (2017). The nexus of renewable energy-agriculture-environment in BRICS. Applied energy, 204, 489–496.
   Web of Science ®Google Scholar
• Machado, J. A., & Silva, J. S. (2019). Quantiles via moments. Journal of Econometrics, 213(1), 145–173.
   Web of Science ®Google Scholar
• Montzka, S. A., Dlugokencky, E. J., & Butler, J. H. (2011). Non-CO2 greenhouse gases and climate change. Nature, 476(7358), 43–50. https://doi.org/10.1038/nature10322
   Google Scholar
• Özbuğday, F. C., & Erbas, B. C. (2015). How effective are energy efficiency and renewable energy in curbing CO2 emissions in the long run? A heterogeneous panel data analysis. Energy, 82, 734–745. https://doi.org/10.1016/j.energy.2015.01.084
   Web of Science ®Google Scholar
• Özcan, K. M., & Özkan, A. U. (2018). The relationship between energy efficiency and economic performance in G20 countries. Topics in Middle Eastern and African Economies Proceedings of Middle East Economic Association, 20(1), 1–20.
   Google Scholar
• Pao, H. T., & Tsai, C. M. (2011). Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil. Energy, 36(5), 2450–2458.
   Web of Science ®Google Scholar
• Pardo, N., & Moya, J. A. (2013). Prospective scenarios on energy efficiency and CO2 emissions in the European Iron & Steel industry. Energy, 54, 113–128. https://doi.org/10.1016/j.energy.2013.03.015
   Google Scholar
• Pata, U. K. (2018). Renewable energy consumption, urbanization, financial development, income and CO2 emissions in Turkey: Testing EKC hypothesis with structural breaks. Journal of Cleaner Production, 187, 770–779. https://doi.org/10.1016/j.jclepro.2018.03.236
   Web of Science ®Google Scholar
• Pesaran, M. H. 2004. General diagnostic tests for cross section dependence in panels. University of Cambridge, Faculty of Economics, Cambridge Working Papers in Economics No. 0435.
   Google Scholar
• Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of applied econometrics, 22(2), 265–312. https://doi.org/10.1002/jae.951
   Web of Science ®Google Scholar
• Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50–93.
   Web of Science ®Google Scholar
• Rahman, Z. U., & Ahmad, M. (2019). Modeling the relationship between gross capital formation and CO2 (a)symmetrically in the case of Pakistan: An empirical analysis through NARDL approach. Environmental Science and Pollution Research, 26(8), 8111–8124.
   PubMed Web of Science ®Google Scholar
• Rahman, Z. U., Cai, H., & Ahmad, M. (2019). A new look at the remittances-FDI-energy-environment nexus in the case of selected Asian nations. The Singapore Economic Review, 1–19.
   Google Scholar
• Reilly, J. (2015). Energy and development in emerging countries. Revue d'economie du developpement, 23(HS), 19–38.
   Google Scholar
• Riti, J. S., Song, D., Shu, Y., & Kamah, M. (2017). Decoupling CO2 emission and economic growth in China: Is there consistency in estimation results in analyzing environmental Kuznets curve? Journal of Cleaner Production, 166, 1448–1461.
   Web of Science ®Google Scholar
• Robaina-Alves, M., & Moutinho, V. (2014). Decomposition of energy-related GHG emissions in agriculture over 1995–2008 for European countries. Applied energy, 114, 949–957. https://doi.org/10.1016/j.apenergy.2013.06.059
   Web of Science ®Google Scholar
• Safi, A., Chen, Y., Wahab, S., Ali, S., Yi, X., & Imran, M. (2021). Financial instability and consumption-based carbon emission in E-7 countries: The role of trade and economic growth. Sustainable Production and Consumption, 27, 383–391.
   Web of Science ®Google Scholar
• Shahbaz, M., Balsalobre-Lorente, D., & Sinha, A. (2019). Foreign direct Investment–CO2 emissions nexus in Middle East and North African countries: Importance of biomass energy consumption. Journal of cleaner production, 217, 603–614.
   Web of Science ®Google Scholar
• Shao, C., Guan, Y., Wan, Z., Chu, C., & Ju, M. (2014). Performance analysis of CO2 emissions and energy efficiency of metal industries in China. Journal of environmental management, 134, 30–38.
   PubMed Web of Science ®Google Scholar
• Shao, Q., Wang, X., Zhou, Q., & Balogh, L. (2019). Pollution haven hypothesis revisited: A comparison of the BRICS and MINT countries based on VECM approach. Journal of Cleaner Production, 227, 724–738.
   Web of Science ®Google Scholar
• Shuai, C., Shen, L., Jiao, L., Wu, Y., & Tan, Y. (2017). Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011. Applied energy, 187, 310–325. https://doi.org/10.1016/j.apenergy.2016.11.029
   Web of Science ®Google Scholar
• United Nations Environment Programme (UNEP). 2018. Emissions gap report 2018. https://www.unenvironment.org/resources/emissions-gap-report-2018
   Google Scholar
• Wahab, S. (2021). Does technological innovation limit trade-adjusted carbon emissions? Environmental Science and Pollution Research, 1–11.
   Google Scholar
• Wahab, S., Imran, M., Safi, A., Wahab, Z., & Kirikkaleli, D. (2022). Role of financial stability, technological innovation, and renewable energy in achieving sustainable development goals in BRICS countries. Environmental Science and Pollution Research, 1–12.
   PubMedGoogle Scholar
• Wahab, S., Zhang, X., Safi, A., Wahab, Z., & Amin, M. (2021). Does energy productivity and technological innovation limit trade-adjusted carbon emissions? Economic Research-Ekonomska Istraživanja, 34(1), 1896–1912. https://doi.org/10.1080/1331677X.2020.1860111
   Web of Science ®Google Scholar
• Wang, S., Fang, C., & Wang, Y. (2016). Spatiotemporal variations of energy-related CO2 emissions in China and its influencing factors: An empirical analysis based on provincial panel data. Renewable and Sustainable Energy Reviews, 55, 505–515. https://doi.org/10.1016/j.rser.2015.10.140
   Web of Science ®Google Scholar
• Wang, W., Li, M., & Zhang, M. (2017). Study on the changes of the decoupling indicator between energy-related CO2 emission and GDP in China. Energy, 128, 11–18. https://doi.org/10.1016/j.energy.2017.04.004
   Web of Science ®Google Scholar
• Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and statistics, 69(6), 709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
   Google Scholar
• World Bank. (2017). World development report 2018: Learning to realize education's promise. The World Bank. https://doi.org/10.1596/978-1-4648-1096-1
   Google Scholar
• World Bank. (2019). World Bank database: Indicators, climate change. https://data.worldbank.org/
   Google Scholar
• Wu, F., Fan, L. W., Zhou, P., & Zhou, D. Q. (2012). Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis. Energy Policy, 49, 164–172. https://doi.org/10.1016/j.enpol.2012.05.035
   Web of Science ®Google Scholar
• Xu, L., Chen, N., & Chen, Z. (2017). Will China make a difference in its carbon intensity reduction targets by 2020 and 2030? Applied Energy, 203, 874–882. https://doi.org/10.1016/j.apenergy.2017.06.087
   Web of Science ®Google Scholar
• Yuan, J., Kang, J., Yu, C., & Hu, Z. (2011). Energy conservation and emissions reduction in China – Progress and prospective. Renewable and Sustainable Energy Reviews, 15(9), 4334–4347. https://doi.org/10.1016/j.rser.2011.07.117
   Web of Science ®Google Scholar
• Yuan, J., Xu, Y., Hu, Z., Zhao, C., Xiong, M., & Guo, J. (2014). Peak energy consumption and CO2 emissions in China. Energy Policy, 68, 508–523. https://doi.org/10.1016/j.enpol.2014.01.019
   Web of Science ®Google Scholar
• Yue, T., Long, R., Chen, H., & Zhao, X. (2013). The optimal CO2 emissions reduction path in Jiangsu province: An expanded IPAT approach. Applied Energy, 112, 1510–1517. https://doi.org/10.1016/j.apenergy.2013.02.046
   Web of Science ®Google Scholar
• Zhang, B., Wang, B., & Wang, Z. (2017). Role of renewable energy and non-renewable energy consumption on EKC: Evidence from Pakistan. Journal of Cleaner Production, 156, 855–864.
   Web of Science ®Google Scholar
• Zhang, W., Li, K., Zhou, D., Zhang, W., & Gao, H. (2016). Decomposition of intensity of energy-related CO2 emission in Chinese provinces using the LMDI method. Energy Policy, 92, 369–381. https://doi.org/10.1016/j.enpol.2016.02.026
   Web of Science ®Google Scholar
• Zhang, X. P., & Cheng, X. M. (2009). Energy consumption, carbon emissions, and economic growth in China. Ecological Economics, 68(10), 2706–2712. https://doi.org/10.1016/j.ecolecon.2009.05.011
   Web of Science ®Google Scholar
• Zhou, M., Wang, B., & Chen, Z. (2020). Has the anti-corruption campaign decreased air pollution in China?. Energy Economics, 91, 104878. https://doi.org/10.1016/j.eneco.2020.104878
   Google Scholar
• Zhou, N., Khanna, N., Feng, W., Ke, J., & Levine, M. (2018). Scenarios of energy efficiency and CO2 emissions reduction potential in the buildings sector in China to year 2050. Nature Energy, 3(11), 978–984. https://doi.org/10.1038/s41560-018-0253-6
   Web of Science ®Google Scholar