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
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 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 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 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 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, 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 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 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 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 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 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, 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 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 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 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