Impact of industrial intelligence on green total factor productivity
The indispensability of the environmental system
Bibliographic Data
| ID | 14865262 |
|---|---|
| Authors | Siying Yang (0000-0001-8629-4238, Jilin University), Fengshuo Liu (0000-0002-7387-7757, Ministry of Industry and Information Technology, corresponding author) |
| Year | 2024 |
| Volume | 216 |
| Pages | 108021 |
| Publication date | 2024-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Ecological Economics (JOURNAL) |
| Journal identifiers | ISSN: 0921-8009 • E-ISSN: 1873-6106 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ecolecon.2023.108021 |
| OpenAlex | W4388181756 |
| Language | EN |
| Citations received | 22 |
| References cited | 47 |
Developing country · Economic growth · Economics · Environmental economics · Green Economy · Industrial organization · Porter hypothesis · Premise · Productivity · Sustainable development · Total factor productivity · Energy, Environment, Economic Growth · Environmental Sustainability in Business · Innovation Diffusion and Forecasting
Sustainable and Resilient Supply Networks
The Twin Transition
Artificial intelligence, green finance and urban energy efficiency
Smart Cities, Greener Future
Deconstructing the green productivity paradox
Artificial intelligence adoption and green innovation
Smart cities, unequal outcomes
The impact of artificial intelligence on green technology cycles in China
The relationship between artificial intelligence, geopolitical risk, and green growth
Can digital transformation improve urban energy efficiency
Breaking barriers, boosting green
Intelligent manufacturing and firm productivity
Towards SDGs 9, 11, and 13
Environmentally Sustainable Development
IT professionals trust in artificial intelligence vs. human experts for achieving sustainable development goals
Exploring pathways for enhancing green total factor productivity in high-carbon emission enterprises
Industrial robots for a sustainable future
Does digitalization facilitate pollution and carbon emissions reduction synergies
A digital path towards low-carbon development
Exploring the path and synergistic effects of “green intelligence integration” for improving industrial carbon emission efficiency
Assessing the nexus between industrialization and inclusive green growth in Africa. The critical role of energy efficiency
The potential impact of artificial intelligence on CO2 emissions
Productivity and Undesirable Outputs
A global Malmquist-Luenberger productivity index
How does manufacturing agglomeration affect green economic efficiency?
Benefit and Distance Functions
How does green finance affect green total factor productivity? Evidence from China
Can low-carbon city construction facilitate green growth? Evidence from China's pilot low-carbon city initiative
Economic Growth and the Environment
A general approach to causal mediation analysis.
Green technology progress and total factor productivity of resource-based enterprises
Influence of artificial intelligence on technological innovation
Can Government Subsidies Promote the TFP of Enterprises? The Mediating Effect of R&D Decisions
Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China
The Impact of the Integrated Development of AI and Energy Industry on Regional Energy Industry
Does artificial intelligence promote industrial upgrading? Evidence from China
Corruption pays off
Key challenges for China's carbon emissions trading program
Analyzing impact factors of CO2 emissions using the STIRPAT model
The technological innovation of hybrid and plug-in electric vehicles for environment carbon pollution control
Does the application of industrial robots overcome the Solow paradox? Evidence from China
Factors influencing the use of artificial intelligence in government
Carbon emission reduction effects of industrial robot applications
Does occupational injury promote industrial robot applications
Regional artificial intelligence and the geography of environmental technologies
Robots and Jobs
Black boxes, not green
| Unique citing works | 22 |
|---|---|
| Citations per year | 11 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 22 |