The role of industrial intelligence in peaking carbon emissions in China
Technological Forecasting and Social Change, ISSN: 0040-1625, Vol: 199, Page: 123005
2024
- 24Citations
- 29Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
As industrial intelligence empowers economic advancement and technological progress, its capacity to enable decarbonization during China's low-carbon transition remains uncertain. Existing literature concentrates on the environmental impact of information and communication technologies or uses single-dimension measuring indicators, failing to capture the comprehensiveness of industrial intelligence. Based on the concept of full-cycle management, this study constructs a comprehensive index to evaluate industrial intelligence from intelligent inputs, intelligent production capacity, and intelligent outputs. Using 2006–2020 Chinese provincial panel data and fixed-effects models, we analyze the effects, mechanisms and thresholds of industrial intelligence on carbon emissions. The results show that: (1) The level of industrial intelligence plays a role in reducing carbon emissions after a certain threshold. (2) Industrial intelligence reduces carbon emissions by advancing green technology and optimizing production structure. (3) Industrial intelligence mitigates carbon emissions in eastern and north China but not western China. According to current growth rates of industrial intelligence, nine Chinese provinces may achieve a carbon peak through industry intelligence by 2030. (4) Moreover, industrial intelligence's carbon emission reduction effect is significant in labor- and technology-intensive industries but does not work in capital-intensive industries. These revelations have meaningful implications for orienting industrial intelligence development and decarbonization initiatives.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S004016252300690X; http://dx.doi.org/10.1016/j.techfore.2023.123005; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85178337448&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S004016252300690X; https://dx.doi.org/10.1016/j.techfore.2023.123005
Elsevier BV
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