曾仕波(学)、金贵:Can urban low-carbon transformation affect the prices of its industrial land? An empirical study based on spatial regression discontinuity

发布人:陈永佳 发布时间:2026-03-03 点击次数:

我校经济管理学院金贵老师在T1级别期刊——《 Land Use Policy》上发表题为“Can urban low-carbon transformation affect the prices of its industrial land? An empirical study based on spatial regression discontinuity”。论文作者金贵为经济管理学院教授、博士生导师。

Abstract / 摘要:

This study investigates the dynamic volatility spillovers among critical metals, traditional energy, and clean energy markets using a sophisticated frequency-domain approach. Leveraging the improved complete ensemble empirical mode decomposition with adaptive noise and time-varying parameter vector autoregression models, we decompose daily logarithmic returns into high, middle, and low-frequency components. Our findings reveal significant heterogeneity in spillover effects across different frequencies, industries, and commodity categories. Clean energy sectors emerge as prominent contributors to market spillovers, reflecting their increasing sensitivity to short-term market dynamics. In contrast, traditional energy markets transition from being spillover sources to net recipients as the energy transition accelerates. Critical metals, particularly lithium and platinum, play a dominant role in long-term market integration, highlighting their growing importance in the global energy transition. These results provide actionable insights for policymakers and investors seeking to manage risks and optimize strategies in the evolving energy landscape.

论文信息;

Title/题目:

Can urban low-carbon transformation affect the prices of its industrial land? An empirical study based on spatial regression discontinuity

Authors/作者:

Shibo Zeng; Yaxin Zhang; Gui Jin

Keyword / 关键词

Critical metals;Clean energy markets;ICEEMDAN;TVP-VAR;Spillover effects

Indexed by / 核心评价

EI;INSPEC;Scopus;SSCI;WAJCI

DOI: 10.1016/J.LANDUSEPOL.2024.107413

全文链接:

https://libproxy.cug.edu.cn/https/443/com/sciencedirect/www/yitlink/science/article/pii/S0264837724003661?via%3Dihub