[
Abdi, A.H. (2023). Toward a sustainable development in sub-Saharan Africa: Do economic complexity and renewable energy improve environmental quality? Environmental Science and Pollution Research, 30, 55782-55798. https://doi.org/10.1007/s11356-023-26364-z
]Search in Google Scholar
[
Adeleye, B. N., Akam, D., Inuwa, N., James, H. T., & Basila, D. (2023). Does globalization and energy usage influence carbon emissions in South Asia? An empirical revisit of the debate. Environmental Science and Pollution Research, 30(13), 36190-36207. https://doi.org/10.1007/s11356-022-24457-9
]Search in Google Scholar
[
Adeleye, B. N., Akam, D., Inuwa, N., Olarinde, M., Okafor, V., Ogunrinola, I., & Adekola, P. (2021). Investigating growth-energy-emissions trilemma in South Asia. International Journal of Energy Economics and Policy, 11(5), 112-120. https://doi.org/10.32479/ijeep.11054
]Search in Google Scholar
[
Ajide, F. M. (2022). Economic complexity and entrepreneurship: Insights from Africa. International Journal of Development Issues, 21(3), 367-388. https://doi.org/10.1108/IJDI-03-2022-0047
]Search in Google Scholar
[
Azizalrahman, H., & Hasyimi, V. (2019). A model for urban sector drivers of carbon emissions. Sustainable Cities and Society, 44, 46-55. https://doi.org/10.1016/j.scs.2018.09.035
]Search in Google Scholar
[
Balsalobre-Lorente, D., dos Santos Parente, C. C., Leitão, N. C., & Cantos-Cantos, J. M. (2023). The influence of economic complexity processes and renewable energy on CO2 emissions of BRICS. What about Industry 4.0? Resources Policy, 82, 1-10. https://doi.org/10.1016/j.resourpol.2023.103547
]Search in Google Scholar
[
Barra, C., & Zotti, R. (2016). Investigating the non-linearity between national income and environmental pollution: International evidence of Kuznets curve. Environmental Economics and Policy Studies, 1-33. https://doi.org/10.1007/s10018-017-0189-2
]Search in Google Scholar
[
Boleti, E., Garas, A., Kyriakou, A., Lapatinas, A. (2021). Economic Complexity and Environmental Performance: Evidence from a World Sample. Environmental Modelling & Assessment, 26, 251-270. https://doi.org/10.1007/s10666-021-09750-0
]Search in Google Scholar
[
Breitung, J. (2005). A parametric approach to the estimation of cointegration vectors in panel data. Econometric Reviews, 24(2), 151-173. https://doi.org/10.1081/ETC-200067895
]Search in Google Scholar
[
Can, M., & Gozgor, G. (2017). The impact of economic complexity on carbon emissions: Evidence from France. Environmental Science and Pollution Research, 24, 16364-16370. https://doi.org/10.1007/s11356-017-9219-7
]Search in Google Scholar
[
Dogan, B., Saboori, B., & Can, M. (2019). Does economic complexity matter for environmental degradation? An empirical analysis for different stages of development. Environmental Science and Pollution Research, 26(31), 31900-31912. https://doi.org/10.1007/s11356-019-06333-1
]Search in Google Scholar
[
Enerdata (2023). World energy consumption statistics. https://yearbook.enerdata.net/total-energy/world-consumption-statistics.html
]Search in Google Scholar
[
Gill, A.R., Viswanathan, K.K., & Hassan, S. (2018). A test of environmental Kuznets curve (EFC) for carbon emission and potential of renewable energy to reduce greenhouse gases (GHG) in Malaysia. Environment, Development and Sustainability, 20, 1103-1114. https://doi.org/10.1007/s10668-017-9929-5
]Search in Google Scholar
[
Goldman Sachs (2015). Beyond the BRICs: A look at the Next 11. http://www.goldmansachs.com/our-thinking/archive/archive-pdfs/brics-book/brics-chap-13.pdf
]Search in Google Scholar
[
Hamid, I., Alam, M. S., Murshed, M., Jena, P. K., Sha, N., & Alam, M. N. (2022). The roles of foreign direct investments, economic growth, and capital investments in decarbonizing the economy of Oman. Environmental Science and Pollution Research, 1-17. https://doi.org/10.1007/s11356-021-17246-3
]Search in Google Scholar
[
Hidalgo, C. A., & Hausmann, R. (2009). The building blocks of economic complexity. Proceedings of the National Academy of Sciences, 106(26), 10570-10575.
]Search in Google Scholar
[
Hsu, T. K. (2021). The effect of renewable energy on carbon dioxide emission in Taiwan: Quantile mediation analysis. Science Progress, 104(3), 1-13. https://doi.org/10.1177/00368504211058557
]Search in Google Scholar
[
Incekara, C. O. (2019). Use of an optimization model for optimization of Turkey’s energy management by inclusion of renewable energy sources. International Journal of Environmental Science and Technology, 16, 6617-6628. https://doi.org/10.1007/s13762-019-02221-w
]Search in Google Scholar
[
Kazemzadeh, E., Fuinhas, J.A., Koengkan, M., & Osmani, F. (2022). The heterogeneous effect of economic complexity and export quality on the ecological footprint: A two-step club convergence and panel quantile regression approach. Sustainability, 14, 1-24. https://doi.org/10.3390/su141811153
]Search in Google Scholar
[
Kılıç, C., Soyyiğit, S., & Bayrakdar, S. (2023). Economic complexity, ecological footprint, and the environmental Kuznets curve: Findings from selected industrialized countries. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-023-01411-9
]Search in Google Scholar
[
Kirikkaleli, D., Sofuoglu, E., Abbasi, K.R., & Addai, K. (2023). Economic complexity and environmental sustainability in East Europe economy: evidence from novel Fourier approach. Regional Sustainability, 4, 349-358. https://doi.org/10.1016/j.regsus.2023.08.003
]Search in Google Scholar
[
Laverde-Rojas, H., Guevara-Fletcher, D. A., & Camacho-Murillo, A. (2021). Economic growth, economic complexity, and carbon dioxide emissions: The case of Colombia. Heliyon, 7(6), 1-10. https://doi.org/10.1016/j.heliyon.2021.e07188
]Search in Google Scholar
[
Lee, C. C., & Olasehinde‐Williams, G. (2022). Does economic complexity influence environmental performance? Empirical evidence from OECD countries. International Journal of Finance & Economics, 29(1), 356-382. https://doi.org/10.1002/ijfe.2689
]Search in Google Scholar
[
Lin, S., Wang, S., Marinova, D., Zhao, D., & Hong, J. (2017). Impacts of urbanization and real economic development on CO2 emissions in non-high income countries: Empirical research based on the extended STIRPAT model. Journal of Cleaner Production, 166, 952-966. https://doi.org/10.1016/j.jclepro.2017.08.107
]Search in Google Scholar
[
Murshed, M., Mahmood, H., Ahmad, P., Rehman, A., & Alam, M. S. (2022a). Pathways to Argentina’s 2050 carbon-neutrality agenda: The roles of renewable energy transition and trade globalization. Environmental Science and Pollution Research, 29(20), 29949-29966. https://doi.org/10.1007/s11356-021-17903-7
]Search in Google Scholar
[
Murshed, M., Saboori, B., Madaleno, M., Wang, H., & Doğan, B. (2022b). Exploring the nexuses between nuclear energy, renewable energy, and carbon dioxide emissions: The role of economic complexity in the G7 countries. Renewable Energy, 190, 664-674. https://doi.org/10.1016/j.renene.2022.03.121
]Search in Google Scholar
[
NASA (2023). Carbon dioxide. https://climate.nasa.gov/vital-signs/carbon-dioxide/#:~:text=Key%20Takeaway%3A,in%20less%20than%20200%20years
]Search in Google Scholar
[
Neagu, O. (2019). The link between economic complexity and carbon emissions in the European Union countries: a model based on the Environmental Kuznets Curve (EKC) approach. Sustainability, 11(17), 1-27. http://dx.doi.org/10.3390/su11174753
]Search in Google Scholar
[
Neagu, O., & Teodoru, M.C. (2019). The relationship between economic complexity, energy consumption structure and greenhouse gas emission: Heterogeneous panel evidence from the EU countries. Sustainability, 11(2), 1-29. https://doi.org/10.3390/su11020497
]Search in Google Scholar
[
Nguyen, C. P., Nguyen, B., Duy Tung, B., & Su, T. D. (2021). Economic complexity and entrepreneurship density: A non-linear effect study. Technological Forecasting and Social Change, 173, 1-15. https://doi.org/10.1016/j.techfore.2021.121107
]Search in Google Scholar
[
Nguyen, K. H., & Kakinaka, M. (2019). Renewable energy consumption, carbon emissions, and development stages: Some evidence from panel cointegration analysis. Renewable Energy, 132, 1049-1057. https://doi.org/10.1016/j.renene.2018.08.069
]Search in Google Scholar
[
Osinubi, T. T., & Ajide, F. M. (2022). Foreign direct investment and economic complexity in emerging economies. Economic Journal of Emerging Markets, 14(2), 259-270. http://dx.doi.org/10.20885/ejem.vol14.iss2.art9
]Search in Google Scholar
[
Paramati, S. R., Sinha, A., & Dogan, E. (2017). The significance of renewable energy use for economic output and environmental protection: evidence from the Next 11 developing economies. Environmental Science and Pollution Research, 24, 13546-13560. https://doi.org/10.1007/s11356-017-8985-6
]Search in Google Scholar
[
Pesaran, M.H. (2004) General diagnostic tests for cross-section dependence in panels. Empirical Economics, 60(1), 13-50. https://doi.org/10.1007/s00181-020-01875-7
]Search in Google Scholar
[
Pesaran, M.H. (2007) A Simple unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22, 265-312. https://doi.org/10.1002/jae.951
]Search in Google Scholar
[
Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50-93. https://doi.org/10.1016/j.jeconom.2007.05.010
]Search in Google Scholar
[
Salahuddin, M., Alam, K., Ozturk, I., & Sohag, K. (2018). The effects of electricity consumption, economic growth, financial development and foreign direct investment on CO2 emissions in Kuwait. Renewable and Sustainable Energy Reviews, 81, 2002-2010. https://doi.org/10.1016/j.rser.2017.06.009
]Search in Google Scholar
[
Satrovic, E., & Adedoyin, F. F. (2022). An empirical assessment of electricity consumption and environmental degradation in the presence of economic complexities. Environmental Science and Pollution Research, 29(52), 78330-78344. https://doi.org/10.1007/s11356-022-21099-9
]Search in Google Scholar
[
Saqib, N., Radulescu, M., Usman, M., Balsalobre-Lorente, D., & Cilan, T. (2023). Environmental technology, economic complexity, renewable electricity, environmental taxes and CO2 emissions: Implications for low-carbon future in G-10 bloc. Heliyon, 9, 1-17. https://doi.org/10.1016/j.heliyon.2023.e16457
]Search in Google Scholar
[
Shahbaz, M., Mahalik, M. K., Shah, S. H., & Sato, J. R. (2016). Time-varying analysis of CO2 emissions, energy consumption, and economic growth nexus: Statistical experience in next 11 countries. Energy Policy, 98, 33-48. https://doi.org/10.1016/j.enpol.2016.08.011
]Search in Google Scholar
[
Shahzad, U., Fareed, Z., Shahzad, F., & Shahzad, K. (2021). Investigating the nexus between economic complexity, energy consumption and ecological footprint for the United States: New insights from quantile methods. Journal of Cleaner Production 279, 123806. https://doi.org/10.1016/j.jclepro.2020.123806
]Search in Google Scholar
[
Szetela, B., Majewska, A., Jamroz, P., Djalilov, B., & Salahodjaev, R. (2022). Renewable energy and CO2 emissions in top natural resource rents depending countries: the role of governance. Frontiers in Energy Research, 10, 1-7. https://doi.org/10.3389/fenrg.2022.872941
]Search in Google Scholar
[
United States Energy Information Administration (EIA) (2012). International energy statistics. https://www.eia.gov/international/data/world#/?
]Search in 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
]Search in Google Scholar
[
Xu, T. (2018). Investigating environmental Kuznets curve in China–aggregation bias and policy implications. Energy Policy, 114, 315-322. https://doi.org/10.1016/j.enpol.2017.12.027
]Search in Google Scholar
[
Yang, N., Zhang, Z., Xue, B., Ma, J., Chen, X., & Lu, C. (2018). Economic growth and pollution emission in China: Structural path analysis. Sustainability, 10(7), 1-15. https://doi.org/10.3390/su10072569
]Search in Google Scholar
[
Yilanci, V., & Pata, U.K. (2020). Investigating the EKC hypothesis for China: the role of economic complexity on ecological footprint. Environmental Science and Pollution Research, 27, 32683-32694. https://doi.org/10.1007/s11356-020-09434-4
]Search in Google Scholar
[
Yıldırım, E., Sukruoglu, D., & Aslan, A. (2014). Energy consumption and economic growth in the next 11 countries: The bootstrapped autoregressive metric causality approach. Energy Economics, 44, 14-21. https://doi.org/10.1016/j.eneco.2014.03.010
]Search in Google Scholar
[
Yu, J., Ju, F., Wahab, M., Agyekum, E.B., Matasane, C., Uhunamure, S.E. (2022). Estimating the effects of economic complexity and technological innovations on CO2 emissions: Policy instruments for N-11 countries. Sustainability, 14, 1-15. https://doi.org/10.3390/su142416856
]Search in Google Scholar
[
Zoundi, Z. (2017). CO2 emissions, renewable energy and the environmental Kuznets curve, a panel cointegration approach. Renewable and Sustainable Energy Reviews, 72, 1067-1075. https://doi.org/10.1016/j.rser.2016.10.018
]Search in Google Scholar