Do You Know the Carbon Footprint of Live Music?

Do You Know the Carbon Footprint of Live Music?

Do You Know the Carbon Footprint of Live Music?

The First Comprehensive Assessment of Live Music Emissions in the US and UK

MIT Climate Machine

2025

The Big Picture

In 2023, live music generated greenhouse gas emissions:

In 2023, live music generated greenhouse gas emissions:

In 2023, live music generated greenhouse gas emissions:

To put this in perspective: UK live music accounts for the equivalent of 1% of the nation's total emissions, while US live music represents the equivalent of 0.2% of national emissions.

To put this in perspective: UK live music accounts for the equivalent of 1% of the nation's total emissions, while US live music represents the equivalent of 0.2% of national emissions.

To put this in perspective: UK live music accounts for the equivalent of 1% of the nation's total emissions, while US live music represents the equivalent of 0.2% of national emissions.

Where Do These Emissions Come From?

The biggest contributors to live music's carbon footprint in 2023:

The biggest contributors to live music's carbon footprint in 2023:

The biggest contributors to live music's carbon footprint in 2023:

Key insight: When fan travel is excluded, food & beverage becomes the largest contributor at 33.2% (UK) and 44.7% (US) of remaining emissions. Emissions from food can't be attributed to decisions made by the venue and its owners and operators.

Three Key Frameworks: Understanding the Problem

Emissions are the result of decisions, actions, and places. The MIT research is structured around three complementary frameworks:

Emissions are the result of decisions, actions, and places. The MIT research is structured around three complementary frameworks:

Emissions are the result of decisions, actions, and places. The MIT research is structured around three complementary frameworks:

Decision-Based Framework

Maps stakeholder relationships and connects decisions to emissions impact. Who decides what, and how do those choices affect carbon output?

Artist Tours

Indoor Clubs & Theatre Events

Large Stadiums & Arena Events

Outdoor Festivals in non-permanent Venues

Decision-Based Framework

Maps stakeholder relationships and connects decisions to emissions impact. Who decides what, and how do those choices affect carbon output?

Artist Tours

Indoor Clubs & Theatre Events

Large Stadiums & Arena Events

Outdoor Festivals in non-permanent Venues

Decision-Based Framework

Maps stakeholder relationships and connects decisions to emissions impact. Who decides what, and how do those choices affect carbon output?

Artist Tours

Indoor Clubs & Theatre Events

Large Stadiums & Arena Events

Outdoor Festivals in non-permanent Venues

Activities-Based Framework

Quantifies emissions across the entire lifecycle of live music events - pre-event, during-event, and post-event.

Pre-event Planning

During-event Operations

Post-Event Breakdown

Activities-Based Framework

Quantifies emissions across the entire lifecycle of live music events - pre-event, during-event, and post-event.

Pre-event Planning

During-event Operations

Post-Event Breakdown

Activities-Based Framework

Quantifies emissions across the entire lifecycle of live music events - pre-event, during-event, and post-event.

Pre-event Planning

During-event Operations

Post-Event Breakdown

Event-Type Framework

Models emissions patterns across different venue types and scales. The data reveals dramatic differences

This framework reveals how venue characteristics, location, and infrastructure directly influence environmental impact.

Event-Type Framework

Models emissions patterns across different venue types and scales. The data reveals dramatic differences

This framework reveals how venue characteristics, location, and infrastructure directly influence environmental impact.

Event-Type Framework

Models emissions patterns across different venue types and scales. The data reveals dramatic differences

This framework reveals how venue characteristics, location, and infrastructure directly influence environmental impact.

The Models we Used

Our analysis employed sophisticated AI-based computational and mathematical models including:

Our analysis employed sophisticated AI-based computational and mathematical models including:

Our analysis employed

sophisticated mathematical models including:

Touring Model

Optimization model for eco-informed routing decisions based on carbon cost to fan attendance ratios.

Touring Model

Optimization model for eco-informed routing decisions based on carbon cost to fan attendance ratios.

Touring Model

Optimization model for eco-informed routing decisions based on carbon cost to fan attendance ratios.

Building Performance Models

Energy consumption simulations incorporating HVAC systems, occupancy patterns, and local grid emissions.

Building Performance Models

Energy consumption simulations incorporating HVAC systems, occupancy patterns, and local grid emissions.

Building Performance Models

Energy consumption simulations incorporating HVAC systems, occupancy patterns, and local grid emissions.

Transportation Models

Multi-modal analysis of artist, crew, and hybrid model of ANN and Genetic Algorithms to quantify fan travel patterns.

Transportation Models

Multi-modal analysis of artist, crew, and hybrid model of ANN and Genetic Algorithms to quantify fan travel patterns.

Transportation Models

Multi-modal analysis of artist, crew, and hybrid model of ANN and Genetic Algorithms to quantify fan travel patterns.

Power Systems Models

Grid vs. generator usage across different event scenarios, accounting for utilization constraints.

Power Systems Models

Grid vs. generator usage across different event scenarios, accounting for utilization constraints.

Power Systems Models

Grid vs. generator usage across different event scenarios, accounting for utilization constraints.

33 Key Recommendations for Change

The MIT Climate Machine research identified 33 specific recommendations across eight categories, with quantified emissions reduction potentials:

The MIT Climate Machine research identified 33 specific recommendations across eight categories, with quantified emissions reduction potentials:

The research identified 33 specific recommendations across eight categories, with quantified emissions reduction potentials:

General Industry Actions

Power Solutions

Venue Improvements

Transportation & Logistics

Food Systems

Fan Travel

Artist & Crew Travel

General Industry Actions

Power Solutions

Venue Improvements

Transportation & Logistics

Food Systems

Fan Travel

Artist & Crew Travel

General Industry Actions

Power Solutions

Venue Improvements

Transportation & Logistics

Food Systems

Fan Travel

Artist & Crew Travel

The Path Forward

The live music industry stands at a critical juncture. With fan travel accounting for the majority of emissions, solutions must be systemic.

The live music industry stands at a critical juncture. With fan travel accounting for the majority of emissions, solutions must be systemic.

The live music industry stands at a critical juncture. With fan travel accounting for the majority of emissions, solutions must be systemic.

Assessment Report of the Media and Entertainment Industry and Climate Change

Phase 1: Live Music, UK and US

Citation

Fernández, J. E., Bayomi, N., Apteker, S., et al. (2025). Assessment Report of the Media and Entertainment Industry and Climate Change - Phase 1: Live Music, UK and US. Climate Machine, MIT, Cambridge, USA.

Support

Research supported by the Music and Climate Change Fund. Inaugural donors: Coldplay, Live Nation, and Warner Music Group. Support from the funders in no way influenced or endorse the conclusions or recommendations.

The contents and perspectives contained within the industry report are informed by the research work of the MIT Climate Machine, as well as other sources not associated with MIT. The full research results and recommendations of the MIT Climate Machine are articulated within the Assessment Report of the Media and Entertainment Industry and Climate Change, Phase 1: Live Music, UK and US.

Governance

Advisory Committee

Contributors

Massachusetts:

11:21:20

© 2025 Massachusetts Institute of Technology. All rights reserved.

Citation

Fernández, J. E., Bayomi, N., Apteker, S., et al. (2025). Assessment Report of the Media and Entertainment Industry and Climate Change - Phase 1: Live Music, UK and US. Climate Machine, MIT, Cambridge, USA.

Support

Research supported by the Music and Climate Change Fund. Inaugural donors: Coldplay, Live Nation, and Warner Music Group. Support from the funders in no way influenced or endorse the conclusions or recommendations.

The contents and perspectives contained within the industry report are informed by the research work of the MIT Climate Machine, as well as other sources not associated with MIT. The full research results and recommendations of the MIT Climate Machine are articulated within the Assessment Report of the Media and Entertainment Industry and Climate Change, Phase 1: Live Music, UK and US.

Governance

Advisory Committee

Contributors

Massachusetts:

11:21:20

© 2025 Massachusetts Institute of Technology. All rights reserved.

Citation

Fernández, J. E., Bayomi, N., Apteker, S., et al. (2025). Assessment Report of the Media and Entertainment Industry and Climate Change - Phase 1: Live Music, UK and US. Climate Machine, MIT, Cambridge, USA.

Support

Research supported by the Music and Climate Change Fund. Inaugural donors: Coldplay, Live Nation, and Warner Music Group. Support from the funders in no way influenced or endorse the conclusions or recommendations.

The contents and perspectives contained within the industry report are informed by the research work of the MIT Climate Machine, as well as other sources not associated with MIT. The full research results and recommendations of the MIT Climate Machine are articulated within the Assessment Report of the Media and Entertainment Industry and Climate Change, Phase 1: Live Music, UK and US.

Governance

Advisory Committee

Contributors

Massachusetts:

11:21:20

© 2025 Massachusetts Institute of Technology. All rights reserved.