A5100730365- Energy, Environment, Economic Growth
- Market Dynamics and Volatility
- Energy, Environment, and Transportation Policies
- Environmental Sustainability in Business
- Corporate Social Responsibility Reporting
- Environmental Impact and Sustainability
- Extraction and Separation Processes
- Climate Change Policy and Economics
- Monetary Policy and Economic Impact
- Sustainable Supply Chain Management
- Efficiency Analysis Using DEA
- Corporate Finance and Governance
- RNA modifications and cancer
- COVID-19 Pandemic Impacts
- Energy and Environment Impacts
- Geochemistry and Elemental Analysis
- Global Energy Security and Policy
- Global Energy and Sustainability Research
- Urban Transport and Accessibility
- Natural Resources and Economic Development
- Recycling and Waste Management Techniques
- Air Quality and Health Impacts
- Cervical and Thoracic Myelopathy
- Global Financial Crisis and Policies
- Risk Management in Financial Firms
Central South University
2015-2025
Union Hospital
2025
Huazhong University of Science and Technology
2025
Xuzhou University of Technology
2024
Beijing University of Technology
2024
Capital University of Economics and Business
2024
Wenzhou Medical University
2022-2023
Southwest University
2023
Shanghai Ocean University
2023
Fujian Electric Power Survey & Design Institute
2023
Abstract The carbon emissions trading scheme (CETS) is an important institutional innovation that internalizes external costs caused by corporate and promotes firms to engage in green development. Based on a 2009–2019 sample of Chinese enterprises heavily polluting industries listed the Shanghai Stock Exchange (SSE) Shenzhen (SZSE), this paper employs difference‐in‐differences model examine effect CETS investment discuss moderating effects pressure internal incentive. We find implementation...
Abstract The objective of this study is to examine the impact government environmental concerns on green innovation and whether has a “leverage effect” or “crowding‐out effect.” This employs two‐way fixed‐effects model conduct an empirical test using panel data from 2010 2020 Chinese firms listed in heavy‐polluting industries. results suggest that increase can promote corporate innovation. However, primarily stimulate strategic rather than substantive After series robustness endogeneity...