The Spillover Effects of Peer AI Rinsing on Corporate Green Innovation
The Spillover Effects of Peer AI Rinsing on Corporate Green Innovation explores This paper analyzes the negative impact of corporate 'AI washing' on green innovation using large language models, proposing policy interventions for better disclosure and regulation.. Commercial viability score: 3/10 in AI Ethics & Regulation.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisIs the future of AI green? What can innovation diffusion models say about generative AI's environmental impact?Viability: 2.0
- Builds On ThisFrom Horizontal Layering to Vertical Integration: A Comparative Study of the AI-Driven Software Development ParadigmViability: 2.0
- Builds On ThisThe Limits of AI Data Transparency Policy: Three Disclosure FallaciesViability: 2.0
- Builds On ThisNonstandard Errors in AI AgentsViability: 2.0
- Builds On ThisAbundant Intelligence and Deficient Demand: A Macro-Financial Stress Test of Rapid AI Adoption