MRIO Modeling for Environmental Analysis of Broadband Infrastructure Expansion

The deployment of universal broadband infrastructure is heralded as a catalyst for societal progress and economic development. However, coupled with rapid globalization and industrialization in the past few decades, the environmental implications of infrastructure expansion remain largely unstudied. This paper employs multi-regional input-output (MRIO) modeling to quantify environmental effects across global regions in order to elucidate upon the effects and implications of various broadband expansion policies. By integrating sector-specific data from the internationally compiled Eora dataset and environmental accounts, we construct a comprehensive MRIO network to trace direct and indirect environmental impacts through global supply chains. Utilizing the Leontief inverse matrix, we furthermore calculate the total requirements of each sector, capturing both the immediate and secondary environmental burdens associated with broadband infrastructure expansion. By applying scenario analysis, we assess the implications of different broadband expansion policies under varying assumptions and conditions. Ultimately, this paper seeks to provide policymakers with empirically grounded insight to optimize future investments in infrastructure whilst fostering environmental productivity and responsibility.

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Publication Details

Journal
George Mason University
Published
2024-10-11
DOI
https://doi.org/10.13021/jssr2024.4293
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
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article

MRIO Modeling for Environmental Analysis of Broadband Infrastructure Expansion

George Mason University
Environmental Impact and Sustainability
article

MRIO Modeling for Environmental Analysis of Broadband Infrastructure Expansion

article en

Abstract

The deployment of universal broadband infrastructure is heralded as a catalyst for societal progress and economic development. However, coupled with rapid globalization and industrialization in the past few decades, the environmental implications of infrastructure expansion remain largely unstudied. This paper employs multi-regional input-output (MRIO) modeling to quantify environmental effects across global regions in order to elucidate upon the effects and implications of various broadband expansion policies. By integrating sector-specific data from the internationally compiled Eora dataset and environmental accounts, we construct a comprehensive MRIO network to trace direct and indirect environmental impacts through global supply chains. Utilizing the Leontief inverse matrix, we furthermore calculate the total requirements of each sector, capturing both the immediate and secondary environmental burdens associated with broadband infrastructure expansion. By applying scenario analysis, we assess the implications of different broadband expansion policies under varying assumptions and conditions. Ultimately, this paper seeks to provide policymakers with empirically grounded insight to optimize future investments in infrastructure whilst fostering environmental productivity and responsibility.

George Mason University
George Mason University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 58%
Environmental Impact and Sustainability
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