Skip to main navigation menu Skip to main content Skip to site footer

THE ECONOMIC COST OF THE DIGITAL CARBON FOOTPRINT: EVALUATING THE ENVIRONMENTAL SUSTAINABILITY OF THE DIGITAL ECONOMY

Abstract

 The rapid expansion of digital infrastructure has fundamentally reshaped the global economy, yet its environmental consequences remain insufficiently priced and incompletely understood. This scientific article investigates the economic cost of the digital carbon footprint, examining the greenhouse gas emissions generated by data centers, network infrastructure, consumer devices, blockchain operations, and artificial intelligence workloads. Drawing on energy consumption data, social cost of carbon estimates, and regional regulatory frameworks, we develop a structured economic valuation of ICT-sector emissions and analyze the conditions under which markets fail to internalize these costs. We find that the true economic burden of digital emissions — accounting for externalities, stranded asset risks, and transition costs — substantially exceeds current market prices. Additionally, it also further evaluates the cost-effectiveness of emerging policy instruments and argues that a credible green digital transition requires both regulatory coherence and targeted investment incentives. Our analysis contributes to the broader literature on environmental economics by providing sector-specific cost estimates and a comparative policy assessment applicable to both developed and emerging digital economies.

Keywords

digital carbon footprint, ICT emissions, green digital economy, sustainable computing, environmental externalities, carbon pricing.

PDF

References

  1. Andrae, A. S. G., & Edler, T. (2015). On global electricity usage of communication technology: Trends to 2030. Challenges, 6(1), 117–157.
  2. Belkhir, L., & Elmeligi, A. (2018). Assessing ICT global emissions footprint: Trends to 2040 & recommendations. Journal of Cleaner Production, 177, 448–463.
  3. European Commission. (2023). Green Deal Industrial Plan: State of the Green Deal transition. Publications Office of the EU.
  4. Freitag, C., Berners-Lee, M., Widdicks, K., Knowles, B., Blair, G. S., & Friday, A. (2021). The real climate and transformative impact of ICT: A critique of commonly accepted assumptions. Patterns, 2(9), 100340.
  5. IEA. (2023). Electricity 2024: Analysis and forecast to 2026. International Energy Agency.
  6. IPCC. (2022). Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.
  7. IRENA. (2023). Renewable Power Generation Costs in 2022. International Renewable Energy Agency.
  8. Jones, N. (2018). How to stop data centres from gobbling up the world's electricity. Nature, 561(7722), 163–166.
  9. Masanet, E., Shehabi, A., Lei, N., Smith, S., & Koomey, J. (2020). Recalibrating global data center energy-use estimates. Science, 367(6481), 984–986.
  10. OECD. (2023). Digital Economy Outlook 2024: Shaping Innovation in the Digital Era. OECD Publishing.
  11. Rempel, A. R., & Gupta, J. (2021). Fossil fuels, stranded assets and the energy transition: Anatomy of a crisis. Energy Research & Social Science, 79, 102–132.
  12. Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and policy considerations for deep learning in NLP. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 3645–3650.

Downloads

Download data is not yet available.