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Asymmetric spillover and network connectedness of policy uncertainty, fossil fuel energy, and global ESG investment

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成果类型:
期刊论文
作者:
Lin, Ling;Jiang, Yong;Zhou, Zhongbao
通讯作者:
Zhou, ZB
作者机构:
[Lin, Ling] Hunan Agr Univ, Sch Econ, Changsha 410128, Peoples R China.
[Lin, Ling] Nanyang Technol Univ, Sch Social Sci, Singapore 639798, Singapore.
[Jiang, Yong] Nanjing Audit Univ, Sch Finance, Nanjing 211815, Peoples R China.
[Zhou, Zhongbao] Hunan Univ, Sch Business Adm, Changsha 410082, Peoples R China.
通讯机构:
[Zhou, ZB ] H
Hunan Univ, Sch Business Adm, Changsha 410082, Peoples R China.
语种:
英文
关键词:
Policy uncertainty and fossil fuel energy;Global ESG investment;Asymmetric time -frequency spillover networks
期刊:
Applied Energy
ISSN:
0306-2619
年:
2024
卷:
368
页码:
123432
基金类别:
CRediT authorship contribution statement Ling Lin: Writing – review & editing, Writing – original draft, Resources, Methodology, Investigation, acquisition, Formal analysis, Data curation, Conceptualization. Yong Jiang: Supervision, Resources, Methodology, Investigation, acquisition. Zhongbao Zhou: Supervision, Software, Methodology, Investigation.
机构署名:
本校为第一机构
院系归属:
经济学院
摘要:
This study investigates the asymmetric spillover network connectedness of policy uncertainty, the fossil fuel energy market, and global ESG investment by using a time-frequency domain analysis. The study employs a time-varying filter for the empirical mode decomposition method and Pearson correlation coefficient to distinguish signals' dynamic frequency and amplitude. We combine a two-state fractionally integrated asymmetric power autoregressive conditional heteroskedasticity with asymmetric time-varying parameter vector autoregression and vector autoregression-common factor variance decomposi...

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