environment; energy usage; sustainability; Wavelet Cross-Quantile Correlation China

Adebayo, T. S., & Özkan, O. (2024). Evaluating the role of financial globalization and oil consumption on ecological quality: A new perspective from quantile-on-quantile granger causality. Heliyon, 10(2). https://doi.org/10.1016/j.heliyon.2024.e24636 Adebayo, T. S., Rjoub, H., Akadiri, S. S., Oladipupo, S. D., Sharif, A., & Adeshola, I. (2021). The role of economic complexity in the environmental Kuznets curve of MINT economies: evidence from the method of moments quantile regression. Environmental Science and Pollution Research, 1-13. Ahmed, Z., Asghar, M. M., Malik, M. N., & Nawaz, K. (2020). Moving towards a sustainable environment: The dynamic linkage between natural resources, human capital, urbanization, economic growth, and ecological footprint in China. Resources Policy, p. 67, 101677. Ahmed, Z., Cary, M., Shahbaz, M., & Vo, X. V. (2021). Asymmetric nexus between economic policy uncertainty, renewable energy technology budgets, and environmental sustainability: Evidence from the United States. Journal of Cleaner Production, p. 313, 127723. https://doi.org/10.1016/j.jclepro.2021.127723 Akadiri, S. S., Alola, A. A., & Ajmi, A. N. (2022). Trilemma of pandemic-related health emergency, economic policy uncertainty and partisan conflict in the United States: a time-varying analysis evidence. Journal of Economics and Finance, 46(4), 771-784. Akadiri, S. S., Alola, A. A., & Uzuner, G. (2020a). Economic policy uncertainty and tourism: evidence from the heterogeneous panel. Current Issues in Tourism, 23(20), 2507-2514. Akadiri, S. S., Alola, A. A., Bekun, F. V., & Etokakpan, M. U. (2020b). Does electricity consumption and globalization increase pollutant emissions? Implications for environmental sustainability target for China. Environmental Science and Pollution Research, 27(20), 25450-25460. Al-Thaqeb, S. A., & Algharabali, B. G. (2019). Economic policy uncertainty: A literature review. The Journal of Economic Asymmetries, 20, e00133. Aslan, A., Ilhan, O., Usama, A. M., Savranlar, B., Polat, M. A., Metawa, N., & Raboshuk, A. (2024). Effect of economic policy uncertainty on CO2 with the discrimination of renewable and non renewable energy consumption. Energy, 291, 130382. Aye, G. C. (2018). Causality between economic policy uncertainty and real housing returns in emerging economies: A cross-sample validation approach. Cogent Economics & Finance, 6(1), 1473708. Baruník, J., & Kley, T. (2019). Quantile coherency: A general measure for dependence between cyclical economic variables. The Econometrics Journal, 22(2), 131-152. Broock, W. A., Scheinkman, J. A., Dechert, W. D., & LeBaron, B. (1996). A test for independence based on the correlation dimension. Econometric Reviews, 15(3), 197–235. https://doi.org/10.1080/07474939608800353 Chishti, M. Z., Xia, X., Du, A. M., & Özkan, O. (2025). Digital financial inclusion, the Belt and Road Initiative, and the Paris Agreement: Impacts on Energy Transition Grid Costs. Finance Research Letters, 72, 106517. https://doi.org/10.1016/j.frl.2024.106517 Cui, X., Yao, S., Fang, Z., & Wang, H. (2021). Economic policy uncertainty exposure and earnings management: evidence from China. Accounting & Finance, 61(3), 3937-3976. Etokakpan, M. U., Akadiri, S. S., & Alola, A. A. (2021). Natural gas consumption-economic output and environmental sustainability target in China: an N-shaped hypothesis inference. Environmental Science and Pollution Research, 28(28), 37741-37753. Han, H., Linton, O., Oka, T., & Whang, Y. J. (2016). The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series. Journal of Econometrics, 193(1), 251-270. Hilili, M. J., Akadiri, S. S., & Eneanya, C. N. (2024). Powering Nigeria’s future: balancing renewable and non-renewable energy for environmental sustainability. Energy Systems, 1-22. Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3), 255–259. https://doi.org/10.1016/0165-1765(80)90024-5 Kumar, A. S., & Padakandla, S. R. (2022). Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: a wavelet quantile correlation approach. Finance research letters, 47, 102707. Li, G., Li, Y., & Tsai, C. L. (2015). Quantile correlations and quantile autoregressive modeling. Journal of the American Statistical Association, 110(509), 246-261. Li, T. H. (2022). Quantile Fourier Transform, Quantile Series, and Nonparametric Estimation of Quantile Spectra. arXiv preprint arXiv:2211.05844. Li, X. L., Balcilar, M., Gupta, R., & Chang, T. (2016). The causal relationship between economic policy uncertainty and stock returns in China and India: Evidence from a bootstrap rolling window approach. Emerging Markets Finance and Trade, 52(3), 674–689. Li, Z., & Zhong, J. (2020). Impact of economic policy uncertainty shocks on China’s financial conditions. Finance Research Letters, p. 35, 101303. Lin, B., & Xie, Y. (2023). Positive or negative? R&D subsidies and green technology innovation: Evidence from China’s renewable energy industry. Renewable energy, pp. 213, 148–156. Lin, B., & Xie, Y. (2023). The impact of government subsidies on capacity utilization in the Chinese renewable energy industry: Does technological innovation matter? Applied Energy, p. 352, 121959. Lin, B., & Xie, Y. (2024). The role of venture capital in determining the total factor productivity of renewable energy enterprises: In the context of government subsidy reduction. Energy Economics, p. 132, 107454. Nakhli, M. S., Shahbaz, M., Ben Jebli, M., & Wang, S. (2022). Nexus between economic policy uncertainty, renewable & nonrenewable energy and carbon emissions: Contextual evidence in carbon neutrality dream of USA. Renewable Energy, 185, 75–85. https://doi.org/10.1016/j.renene.2021.12.046 Percival, D. B. (2000). Wavelet methods for time series analysis. Cambridge University Press. Polanco-Martínez, J. M. (2023). VisualDom: An R package for estimating dominant variables in dynamical systems. Software Impacts, 16, 100514. Saint Akadiri, S., Alola, A. A., Alola, U. V., & Nwambe, C. S. (2020). The role of ecological footprint and the changes in degree days on environmental sustainability in the USA. Environmental Science and Pollution Research, 27(20), 24929-24938. Tule, J. M., Offum, P. F., Haouas, I., Akadiri, S. S., & Meadows, O. (2024). Harmonizing renewable energy and economic growth in Sub-Saharan Africa: the transformative potential of ICT. International Economics and Economic Policy, 1-32. Usman, O., Akadiri, S. S., & Adeshola, I. (2020). Role of renewable energy and globalization on ecological footprint in the USA: implications for environmental sustainability. Environmental Science and Pollution Research, 27, 30681-30693. Wang, Q., Guo, J., & Li, R. (2022b). Official development assistance and carbon emissions of recipient countries: A dynamic panel threshold analysis for low-and lower-middle-income countries. Sustainable Production and Consumption, 29, 158-170. Wang, Q., Wang, X., & Li, R. (2022a). Does urbanization redefine the environmental Kuznets curve? An empirical analysis of 134 Countries. Sustainable Cities and Society, 76, 103382. Wang, Z., Yang, L., Yin, J., & Zhang, B. (2018). Assessment and prediction of environmental sustainability in China based on a modified ecological footprint model. Resources, Conservation and Recycling, pp. 132, 301–313. Whitcher, B., Guttorp, P., & Percival, D. B. (2000). Wavelet analysis of covariance with application to atmospheric time series. Journal of Geophysical Research: Atmospheres, 105(D11), 14941-14962. Wikipedia. (2024). Renewable energy in China. Available online: https://en.wikipedia.org/wiki/Renewable_energy_in_China (accessed on 2 November 2024). Xiong, Z., & Li, H. (2019). Ecological deficit tax: A tax design and simulation of compensation for ecosystem service value based on ecological footprint in China. Journal of Cleaner Production, 230, 1128-1137 Yang, J., & Yang, C. (2021). Economic policy uncertainty, COVID-19 lockdown, and firm-level volatility: Evidence from China. Pacific-Basin Finance Journal, 68, 101597. Zhang, D., Lei, L., Ji, Q., & Kutan, A. M. (2019). Economic policy uncertainty in the US and China and their impact on the global markets. Economic Modelling, 79, 47-56. Zhu, H., Chen, W., Hau, L., & Chen, Q. (2021). Time-frequency connectedness of crude oil, economic policy uncertainty and Chinese commodity markets: evidence from rolling window analysis. The North American Journal of Economics and Finance, 57, 101447.