Open Access
Issue
E3S Web Conf.
Volume 574, 2024
1st International Scientific Conference “Green Taxonomy for Sustainable Development: From Green Technologies to Green Economy” (CONGREENTAX-2024)
Article Number 04001
Number of page(s) 9
Section Ecological Footprint and Environmental Impact
DOI https://doi.org/10.1051/e3sconf/202457404001
Published online 02 October 2024
  1. M. Yu, M. Umair, Y. Oskenbayev, Z. Karabayeva, Exploring the nexus between monetary uncertainty and volatility in global crude oil: a contemporary approach of regime-switching, Resour. Pol. 85, 103886 (2023) https://doi.org/10.1016/j.resourpol.2023.103886 [CrossRef] [Google Scholar]
  2. R. Sacks, I. Brilakis, E. Pikas, H.S. Xie, M. Girolami, Construction with digital twin information systems, Data-Centric Engineering 1 (2020) https://doi.org/10.1017/dce.2020.16 [Google Scholar]
  3. H. Yuan, L. Zhao, M. Umair, Crude oil security in a turbulent world: China’s geopolitical dilemmas and opportunities, Extr. Ind. Soc. 16, 101334 (2023) https://doi.org/10.1016/j.exis.2023.101334 [Google Scholar]
  4. A. Dutta, U. Soytas, D. Das, A. Bhattacharyya, In search of time-varying jumps during the turmoil periods: evidence from crude oil futures markets, Energy Econ. 114 (2022) https://doi.org/10.1016/j.eneco.2022.106275 [CrossRef] [Google Scholar]
  5. M. Yu, Y. Wang, M. Umair, Minor mining, major influence: economic implications and policy challenges of artisanal gold mining, Resour. Pol. 91, 104886 (2024) https://doi.org/10.1016/j.resourpol.2024.104886 [CrossRef] [Google Scholar]
  6. R. Li, X. Han, Q. Wang, Do technical differences lead to a widening gap in China’s regional carbon emissions efficiency? Evidence from a combination of LMDI and PDA approach, Renew. Sustain. Energy Rev. 182, 113361 (2023) https://doi.org/10.1016/j.rser.2023.113361 [CrossRef] [Google Scholar]
  7. Q. Wang, X. Wang, R. Li, X. Jiang, Reinvestigating the environmental Kuznets curve (EKC) of carbon emissions and ecological footprint in 147 countries: a matter of trade protectionism. Humanities and Social Sciences Communications 11, 160 (2024) https://doi.org/10.1057/s41599-024-02639-9 [CrossRef] [Google Scholar]
  8. Q. Wang, Y. Ge, R. Li, Evolution and driving factors of ocean carbon emission efficiency: a novel perspective on regional differences, Mar. Pollut. Bull. 194 (2023) https://doi.org/10.1016/j.marpolbul.2023.115219 [Google Scholar]
  9. C. Jing, Q. Wang, R. Ma, Q. Deng, A. Qi, J. Wang, J. Lin, J. Xu, Study on sustained-release kinetics of intelligent tracer for water search in horizontal wells. Geoenergy Science and Engineering 227, 211861 (2023) https://doi.org/10.1016/j.geoen.2023.211861 [CrossRef] [Google Scholar]
  10. M. Bonato, K. Gkillas, R. Gupta, C. Pierdzioch, Investor happiness and predictability of the realized volatility of oil price. Sustainability 12, 4309 (2020) https://doi.org/10.3390/su12104309 [CrossRef] [Google Scholar]
  11. B. Efron, T. Hastie, I. Johnstone, R. Tibshirani, H. Ishwaran, K. Knight, J.M. Loubes, P. Massart, D. Madigan, G. Ridgeway, S. Rosset, J.I. Zhu, R.A. Stine, B. A. Turlach, S. Weisberg, I. Johnstone, R. Tibshirani, Least Angle Regression 32 (2004) 407–499 https://doi.org/10.1214/009053604000000067 [Google Scholar]
  12. K.P. Gallagher, R. Kamal, J. Jin, Y. Chen, X. Ma, Energizing development finance? The benefits and risks of China’s development finance in the global energy sector. Energy Pol. 122 (2018) 313–321 https://doi.org/10.1016/J.ENPOL.2018.06.009 [CrossRef] [Google Scholar]
  13. F. Suard, S. Goutier, D. Mercier, Extracting relevant features to explain electricity price variations. 2010 7th International Conference on the European Energy Market, EEM (2010) https://doi.org/10.1109/EEM.2010.5558743 [Google Scholar]
  14. L. Leng, T. Zhang, L. Kleinman, W. Zhu, Ordinary least square regression, orthogonal regression, geometric mean regression and their applications in aerosol science. J. Phys. Conf. 78, 012084 (2007) https://doi.org/10.1088/1742-6596/78/1/012084 [CrossRef] [Google Scholar]
  15. A.P. Zhabko, A.I. Shindyapin, V.V. Provotorov, Stability of weak solutions of parabolic systems with distributed parameters on the graph, Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes 15, 4 (2019) 457–471 https://doi.org/10.21638/11702/spbu10.2019.404 [Google Scholar]
  16. S. Gillani, H.S.M. Abbas, Impact of government expenditures, foreign direct investment, trade openness, and energy consumption on ecological footprints in selected Asian economies. Environ. Dev. Sustain. (2023) 1–18 https://doi.org/10.1007/s10668-023-04067-2 [Google Scholar]
  17. No Title, 61 Cytokine & Growth Factor Reviews 16 (2021) https://doi.org/10.1016/J.CYTOGFR.2021.08.002 [Google Scholar]
  18. Q. Wu, D. Yan, M. Umair, Assessing the role of competitive intelligence and practices of dynamic capabilities in business accommodation of SMEs. Econ. Anal. Pol. 77 (2023) 1103–1114 https://doi.org/10.1016/j.eap.2022.11.024 [Google Scholar]
  19. L. Yu, Z. Wang, L. Tang, A decomposition-ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting. Appl. Energy 156 (2015) 251–267 https://doi.org/10.1016/j.apenergy.2015.07.025 [CrossRef] [Google Scholar]
  20. I.A. Al-Darrab, Relationships between productivity, efficiency, utilization, and quality, Work. Stud. 49, 3 (2000) 97–104 https://doi.org/10.1108/00438020010318073 [CrossRef] [Google Scholar]
  21. D. Holod, H.F. Lewis, Resolving the deposit dilemma: a new DEA bank efficiency model. J. Bank. Finance 35 (2011) 2801–2810 https://doi.org/10.1016/j.jbankfin.2011.03.007 [CrossRef] [Google Scholar]
  22. J. Hornik, The Temporal Dimension of Shopping Behavior. J. Serv. Sci. Manag. 14 (2021) 58–71 https://doi.org/10.4236/jssm.2021.141005 [Google Scholar]
  23. R.K. Kaufmann, The role of market fundamentals and speculation in recent price changes for crude oil, Energy Pol. 39, 1 (2011) 105–115 https://doi.org/10.1016/j.enpol.2010.09.018 [Google Scholar]
  24. L. Coleman, Explaining crude oil prices using fundamental measures. Energy Pol. 40, 1 (2012) 318–324 https://doi.org/10.1016/j.enpol.2011.10.012 [CrossRef] [Google Scholar]

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