TY - JOUR
T1 - Can Computer Technology, Semiconductors, and Artificial Intelligence Shape a Sustainable Future? Evidence From Leading Semiconductor-Producing Countries
AU - Nazir, Marina
AU - Rasheed, Muhammad Qamar
AU - Yu, Xiao Hong
AU - Ahmed, Zahoor
N1 - Publisher Copyright:
© 2025 ERP Environment and John Wiley & Sons Ltd.
PY - 2025
Y1 - 2025
N2 - Technological innovation is redefining environmental quality by promoting green and efficient technologies. Keeping in view, this study brings a novel and sophisticated idea to address these challenges by promoting sustainable development and integrating key innovative determinants, including computer technology, semiconductors, and artificial intelligence with sustainable development. Our study employs panel Autoregressive Distributed Lag-Pooled Mean Group (ARDL-PMG), Autoregressive Distributed Lag-Mean Group (ARDL-MG), Autoregressive Distributed Lag-Dynamic Fixed Effects (ARDL-DFE), and Autoregressive Distributed Lag-Error Correction Model (ARDL-ECM) techniques from 2000 to 2020 to analyze this relationship among the top 12 semiconductor-producing countries. The results indicate that computer technology, artificial intelligence, and usage of semiconductor technology positively correlate with sustainable development among these tech-leading states. Apart from this, the findings reveal that the presence of geopolitical risk decreases the progression of the sustainable development index. Besides, this study provides important suggestions to the concerned states for designing effective sustainable development policies.
AB - Technological innovation is redefining environmental quality by promoting green and efficient technologies. Keeping in view, this study brings a novel and sophisticated idea to address these challenges by promoting sustainable development and integrating key innovative determinants, including computer technology, semiconductors, and artificial intelligence with sustainable development. Our study employs panel Autoregressive Distributed Lag-Pooled Mean Group (ARDL-PMG), Autoregressive Distributed Lag-Mean Group (ARDL-MG), Autoregressive Distributed Lag-Dynamic Fixed Effects (ARDL-DFE), and Autoregressive Distributed Lag-Error Correction Model (ARDL-ECM) techniques from 2000 to 2020 to analyze this relationship among the top 12 semiconductor-producing countries. The results indicate that computer technology, artificial intelligence, and usage of semiconductor technology positively correlate with sustainable development among these tech-leading states. Apart from this, the findings reveal that the presence of geopolitical risk decreases the progression of the sustainable development index. Besides, this study provides important suggestions to the concerned states for designing effective sustainable development policies.
KW - artificial intelligence
KW - computer technology
KW - geopolitical risk
KW - semiconductors
KW - sustainable development
UR - http://www.scopus.com/inward/record.url?scp=85218683745&partnerID=8YFLogxK
U2 - 10.1002/sd.3394
DO - 10.1002/sd.3394
M3 - Article
AN - SCOPUS:85218683745
SN - 0968-0802
JO - Sustainable Development
JF - Sustainable Development
ER -