Formation mechanism evolution of CO <sub>2</sub> emissions outsourcing within the global ICT multinational investment network

Prior studies have not fully examined the factors associated with the global CO2 transfer network driven by information and communication technology (ICT) investments (GCNI). We employ a multi-regional input-output model, complex network analysis, and an exponential random graph model to explore the evolution and formation mechanisms of the GCNI between 2000 and 2020 from the perspective of foreign direct investment (FDI) motivations. The results indicate that the GCNI has become increasingly interconnected. CO2 transfer relationships exhibit significant reciprocity and triadic closure characteristics. Larger and more open markets are more likely to receive CO2 transfer relationships, while similar markets are more likely to establish such relationships. Vertical factors associated with receiving CO2 transfer relationships evolve from abundant natural resources to low-cost labour, and eventually to highly skilled labour. Regions with stricter environmental regulations and higher corporate tax rates are more likely to initiate these relationships. Our findings suggest that FDI motivation-related factors are closely associated with the geographical pattern of ICT investment-driven emission transfers. These associations may be informative for investment-related emission disclosure, carbon accounting, and discussions of carbon responsibilities and sustainable ICT development in the digital era.

Authors

Institutions

Publication Details

Journal
Applied Economics
Published
2026-07-30
DOI
https://doi.org/10.1080/00036846.2026.2703834
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Formation mechanism evolution of CO 2 emissions outsourcing within the global ICT multinational investment network

Tianyu Wang, Xiaoping Zhang, Liang Dong, Rong Yuan et al.
Applied Economics
Energy, Environment, Economic Growth
article

Formation mechanism evolution of CO 2 emissions outsourcing within the global ICT multinational investment network

Tianyu Wang, Xiaoping Zhang, Liang Dong, Rong Yuan, Tao Zhao
article en

Abstract

Prior studies have not fully examined the factors associated with the global CO2 transfer network driven by information and communication technology (ICT) investments (GCNI). We employ a multi-regional input-output model, complex network analysis, and an exponential random graph model to explore the evolution and formation mechanisms of the GCNI between 2000 and 2020 from the perspective of foreign direct investment (FDI) motivations. The results indicate that the GCNI has become increasingly interconnected. CO2 transfer relationships exhibit significant reciprocity and triadic closure characteristics. Larger and more open markets are more likely to receive CO2 transfer relationships, while similar markets are more likely to establish such relationships. Vertical factors associated with receiving CO2 transfer relationships evolve from abundant natural resources to low-cost labour, and eventually to highly skilled labour. Regions with stricter environmental regulations and higher corporate tax rates are more likely to initiate these relationships. Our findings suggest that FDI motivation-related factors are closely associated with the geographical pattern of ICT investment-driven emission transfers. These associations may be informative for investment-related emission disclosure, carbon accounting, and discussions of carbon responsibilities and sustainable ICT development in the digital era.

Applied Economics
Chongqing Technology and Business University (CN), Chongqing University (CN), Tianjin University (CN), City University of Hong Kong (HK), Chongqing University of Technology (CN)
National Natural Science Foundation of China, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, National Social Science Fund of China
Openalex Percentile: Top 5%
Energy, Environment, Economic Growth
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.