Can environmental regulation solve pollution problems? Theoretical model and empirical research based on the skill premium A Wang, S Hu, B Lin Energy Economics 94, 105068, 2021 | 130 | 2021 |
Does economic development help achieve the goals of environmental regulation? Evidence from partially linear functional-coefficient model A Wang, S Hu, J Li Energy Economics 103, 105618, 2021 | 52 | 2021 |
Can the penalty mechanism of mandatory environmental regulations promote green innovation? Evidence from China's enterprise data A Wang, L Si, S Hu Energy Economics 125, 106856, 2023 | 48 | 2023 |
Environmental tax reform and greenwashing: evidence from Chinese listed companies S Hu, A Wang, K Du Energy Economics 124, 106873, 2023 | 41 | 2023 |
Emission abatement cost in China with consideration of technological heterogeneity A Wang, S Hu, B Lin Applied Energy 290, 116748, 2021 | 34 | 2021 |
Using machine learning to model technological heterogeneity in carbon emission efficiency evaluation: The case of China's cities A Wang, S Hu, J Li Energy Economics 114, 106238, 2022 | 23 | 2022 |
Voluntary environmental regulations, greenwashing and green innovation: Empirical study of China's ISO14001 certification S Hu, M Wang, M Wu, A Wang Environmental Impact Assessment Review 102, 107224, 2023 | 18 | 2023 |
Can China railway express improve environmental efficiency? Evidence from China's cities S Hu, A Wang, K Du, L Si Environmental Impact Assessment Review 99, 107005, 2023 | 13 | 2023 |
Improving carbon emission efficiency in Chinese manufacturing: A study considering technological heterogeneity and noise S Hu, Z Yuan, A Wang Energy 291, 130392, 2024 | 6 | 2024 |
Customer contagion effects of voluntary environmental regulation: A supplier green innovation perspective A Wang, S Hu, M Zhu, M Wu Energy Economics 132, 107446, 2024 | 2 | 2024 |
CO2 abatement costs in China and BRI countries: From the perspective of technological heterogeneity S Hu, A Wang, Y Da Frontiers in Energy Research 10, 2022 | 2 | 2022 |
Marginal abatement cost of CO2: A convex quantile non-radial directional distance function regression method considering noise and inefficiency S Hu, A Wang, B Lin Energy 297, 131323, 2024 | | 2024 |
A Spatial Stochastic Frontier Model with Endogenous Variables Including Frontier and Error S Hu, K Du Available at SSRN 4737302, 2024 | | 2024 |