How are artificial intelligence, carbon market, and energy sector connected? : a systematic analysis of time-frequency spillovers
Year of publication: |
2024
|
---|---|
Authors: | Xu, Yingying ; Shao, Xuefeng ; Tănăsescu, Cristina |
Published in: |
Energy economics. - Amsterdam [u.a.] : Elsevier Science, ISSN 1873-6181, ZDB-ID 2000893-4. - Vol. 132.2024, Art.-No. 107477, p. 1-14
|
Subject: | Artificial intelligence | Carbon market | Energy industry | Information spillover | Investor attention | Künstliche Intelligenz | Spillover-Effekt | Spillover effect | Treibhausgas-Emissionen | Greenhouse gas emissions | Emissionshandel | Emissions trading | Energiewirtschaft | Energy sector | Klimawandel | Climate change | EU-Staaten | EU countries |
-
Jiang, Qichuan, (2022)
-
CO2 trade and market power in the EU electricity sector
Svendsen, Gert Tinggaard, (2002)
-
How the thermal power sector affects carbon trading : an empirical study on China's carbon markets
Ma, Teng, (2023)
- More ...
-
The rise of green energy metal : could lithium threaten the status of oil?
Su, Chi-Wei, (2023)
-
Xi, Haoning, (2023)
-
Liu, Wei, (2021)
- More ...