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Toward a Sustainable TV Industry: Measuring the Carbon Footprint Across The Entire Production Life Cycle

持続可能なテレビ産業に向けて:制作ライフサイクル全体のカーボンフットプリント測定 (AI 翻訳)

Javanshir Fouladvand, Francisca Nunes de Almeida Martins

Cleaner Environmental Systems📚 査読済 / ジャーナル2026-06-01#炭素会計Origin: EU経営インパクト: コスト削減対象セクター: media
DOI: 10.1016/j.cesys.2026.100467
原典: https://doi.org/10.1016/j.cesys.2026.100467

🤖 gxceed AI 要約

日本語

テレビ番組の全ライフサイクル(プリプロダクション、制作、ポストプロダクション、マーケティング、配信/廃棄)におけるカーボンフットプリントを測定する包括的なオープンソースツールを開発。オランダの公共放送3番組への適用結果、シーズンあたり251~374 tCO2eと推定。制作と配信が最も炭素集約的で、放送と移動が主な排出要因。天然ガス廃止、再生可能電力、EV移行で13%削減可能。

English

This paper develops an open-source carbon calculator to measure emissions across the entire TV production life cycle (pre-production, production, post-production, marketing, distribution/end of life). Applied to three Dutch public TV programs, it finds a carbon footprint of 251-374 tCO2e per season (1.6-7.8 tonnes per 30 min broadcast). Production and distribution are the most carbon-intensive stages, with broadcasting and travel as main drivers. Scenario modeling shows that phasing out natural gas, adopting renewables, and transitioning to EVs could reduce emissions by 13%.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

オランダのテレビ業界を対象としたケーススタディだが、日本の放送局(NHK、民放)でも同様のカーボンフットプリント測定が求められる可能性がある。特にSSBJ基準でのScope3排出量算定において、エンターテインメント産業のバリューチェーン排出量を可視化する手法として参考になる。

In the global GX context

This paper provides a replicable methodology for carbon footprinting in the media industry, which is often overlooked in climate disclosure. It aligns with TCFD/ISSB Scope 3 reporting requirements and offers an open-source tool that can be adapted globally. The Dutch case studies demonstrate practical application and reduction potential.

👥 読者別の含意

🔬研究者:Provides a comprehensive lifecycle emission model for a non-traditional sector (media), useful for expanding carbon accounting to service industries.

🏢実務担当者:Offers an open-source carbon calculator tailored for TV production, enabling media companies to measure and reduce their carbon footprint.

🏛政策担当者:Highlights the environmental impact of broadcasting and suggests policy interventions (e.g., renewable energy adoption, EV transition) for the media sector.

📄 Abstract(原文)

The carbon footprint of the television industry has remained largely unexplored. Most research to date has focused on production-related emissions, leaving crucial aspects of the process, such as marketing and distribution, largely unexamined. This article addresses this gap by developing a comprehensive, open-source Carbon calculator, designed to capture Carbon emissions across all stages of a production’s life cycle, namely: pre-production, production, post-production, marketing, and distribution/end of life; through five overarching emission categories: Travel and Transport, Material Use, Energy Use, Waste, and Broadcasting. The calculator was applied to Dutch case studies, particularly to three television programs within the Nederlandse Publieke Omroep (NPO): 3 op Reis (a travel documentary), Het Klokhuis (a children’s educational show), and BinnensteBuiten (a sustainability and lifestyle program). Results of these specific non-fiction TV series revealed that a television show’s carbon footprint, from pre-production to end of life, ranged from 251 to 374 tCO 2 e per season, or 1.6 to 7.8 tonnes per 30 minutes of broadcast. Across all cases, production and distribution were consistently the most carbon-intensive stages, with broadcasting and travel emerging as the main emission drivers. When scaled nationally, Dutch television production is estimated to generate at least 16,300 tCO 2 e annually, equivalent to the yearly energy use of approximately 8,140 Dutch households. Scenario modelling indicated that phasing out natural gas, adopting renewable electricity, and transitioning to electric vehicles could reduce emissions by an average of 13% across the production sector. The detailed calculations for each television program, reduction strategies and future research are also presented.

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