Published in Journal of Cleaner Production, 2020
Recommended citation: Sun, W., Huang, C., 2020. A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network. J. Clean. Prod. 243. https://doi.org/10.1016/j.jclepro.2019.118671 https://www.sciencedirect.com/science/article/abs/pii/S0959652619335413
Published in Energy, 2020
Recommended citation: Sun, W., Huang, C., 2020. A novel carbon price prediction model combines the secondary decomposition algorithm and the long short-term memory network. Energy 207, 118294. https://doi.org/10.1016/j.energy.2020.118294 https://www.sciencedirect.com/science/article/abs/pii/S0360544220314018
Published in Environmental Pollution, 2020
Recommended citation: Sun, W., Huang, C., 2020. A hybrid air pollutant concentration prediction model combining secondary decomposition and sequence reconstruction. Environ. Pollut. 266, 115216. https://doi.org/10.1016/j.envpol.2020.115216 https://www.sciencedirect.com/science/article/abs/pii/S0269749120344262
Published in Journal of Cleaner Production, 2020
Recommended citation: Sun, W., Huang, C., 2020. How does urbanization affect carbon emission efficiency? Evidence from China. J. Clean. Prod. 272, 122828. https://doi.org/10.1016/j.jclepro.2020.122828 https://www.sciencedirect.com/science/article/abs/pii/S0959652620328730
Published in Energy, 2021
Recommended citation: Sun, S., Huang, C., 2021. Energy structure evaluation and optimization in BRICS: A dynamic analysis based on a slack based measurement DEA with undesirable outputs. Energy 216. https://doi.org/10.1016/j.energy.2020.119251 https://www.sciencedirect.com/science/article/abs/pii/S0360544220323586
Published in Journal of Cleaner Production, 2022
Recommended citation: Sun, W., Huang, C., 2022. Predictions of carbon emission intensity based on factor analysis and an improved extreme learning machine from the perspective of carbon emission efficiency. J. Clean. Prod. 338. https://doi.org/10.1016/j.jclepro.2022.130414 https://www.sciencedirect.com/science/article/abs/pii/S0959652622000609
Published in Sustainable Production and Consumption, 2022
Recommended citation: Lin, B., Huang, C., 2022. Analysis of emission reduction effects of carbon trading: Market mechanism or government intervention? Sustain. Prod. Consum. 33, 28–37. https://doi.org/10.1016/j.spc.2022.06.016 https://www.sciencedirect.com/science/article/abs/pii/S2352550922001622
Published in Energy Policy, 2023
Recommended citation: Lin, B., Huang, C., 2023. How will promoting the digital economy affect electricity intensity? Energy Policy 173, 113341. https://doi.org/10.1016/j.enpol.2022.113341 https://www.sciencedirect.com/science/article/abs/pii/S0301421522005602
Published in Applied Energy, 2023
Recommended citation: Lin, B., Huang, C., 2023. Promoting variable renewable energy integration: The moderating effect of digitalization. Appl. Energy 337, 120891. https://doi.org/10.1016/j.apenergy.2023.120891 https://www.sciencedirect.com/science/article/abs/pii/S0306261923002556
Published in Energy, 2023
Recommended citation: Lin, B., Huang, C., 2023. Nonlinear relationship between digitization and energy efficiency: Evidence from transnational panel data. Energy 276, 127601. https://doi.org/10.1016/j.energy.2023.127601 https://www.sciencedirect.com/science/article/abs/pii/S0360544223009957
Published in Energy Policy, 2023
Recommended citation: Huang, C., Lin, B., 2023. Promoting decarbonization in the power sector: How important is digital transformation? Energy Policy 182, 113735. https://doi.org/10.1016/j.enpol.2023.113735 https://www.sciencedirect.com/science/article/abs/pii/S0301421523003208
Published in Energy Economics, 2024
Recommended citation: Huang, C., Lin, B., 2024. How digital economy index selection and model uncertainty will affect energy green transition. Energy Economics 136, 107774. https://doi.org/10.1016/j.eneco.2024.107774 https://www.sciencedirect.com/science/article/pii/S0140988324004821
Published in Energy, 2024
Recommended citation: Huang, C., Lin, B., 2024. Digital economy solutions towards carbon neutrality: The critical role of energy efficiency and energy structure transformation. Energy 306, 132524. https://doi.org/10.1016/j.energy.2024.132524 https://www.sciencedirect.com/science/article/pii/S0360544224022989
Published in Energy Policy, 2025
Recommended citation: Huang, C., & Lin, B. (2025). The impact of digital economy on energy rebound effect in China: A stochastic energy demand frontier approach. Energy Policy, 196, 114418. https://doi.org/10.1016/j.enpol.2024.114418 https://www.sciencedirect.com/science/article/pii/S0301421524004385
Published in Research in International Business and Finance, 2025
Recommended citation: Huang, C., Min Du, A., Lin, B., 2025. How does the digital economy affect the green transition: The role of industrial intelligence and E-commerce. Research in International Business and Finance 73, 102541. https://doi.org/10.1016/j.ribaf.2024.102541 https://www.sciencedirect.com/science/article/pii/S0275531924003349
Published in IEEE Transactions on Engineering Management, 2025
Recommended citation: Huang, C., & Lin, B. (2025). Improving Energy Efficiency Through the Digital Economy in Mainland China: Easier Said Than Done. IEEE Transactions on Engineering Management, 72, 326–334. https://doi.org/10.1109/TEM.2024.3524514 https://ieeexplore.ieee.org/document/10820026
Undergraduate course, Xiamen University, School of Management, 2022
Teaching assistant for the Macroeconomics course. The work includes counseling for students, including answering questions and correcting homework; Assist in communication between students and teachers.
Postgraduate course, Xiamen University, School of Management, 2023
Teaching assistant for the Advanced Econometrics course, which is open to master’s and doctoral students. The work includes counseling for students, including answering questions and correcting homework; Assist in communication between students and teachers; Teach students.
Postgraduate course, Xiamen University, School of Management, 2024
Teaching assistant for the Electric Power Engineering and Technology course, which is open to master’s and doctoral students. The work includes counseling for students, including answering questions and correcting homework; Assist in communication between students and teachers.