Volatility Spillover Between China’s Carbon Market and Traditional Manufacturing DOI Creative Commons
Jining Wang,

Dian Sheng,

Lei Wang

et al.

Mathematics, Journal Year: 2025, Volume and Issue: 13(9), P. 1514 - 1514

Published: May 4, 2025

This study constructed a DGC-t-MSV model by integrating dynamic correlation and Granger causality into the MSV framework. Using daily closing price data from 4 January 2022 to 21 November 2024, it empirically analyzed volatility spillover effects between China’s carbon market traditional manufacturing an industrial heterogeneity perspective. The findings are as follows: (1) exhibits significant unidirectional on carbon-intensive industries, such steel, chemicals, shipbuilding, automobile manufacturing, with acting source. (2) Bidirectional exist industries forest products, textiles, construction engineering, machinery predominantly recipient. (3) general correlations where strength is positively associated industry-level emissions. Notably, significant, whereas those textile industry products relatively weaker. Furthermore, demonstrates substantially higher than industries. innovatively explored perspective, providing policy implications for their coordinated development.

Language: Английский

Volatility Spillover Between China’s Carbon Market and Traditional Manufacturing DOI Creative Commons
Jining Wang,

Dian Sheng,

Lei Wang

et al.

Mathematics, Journal Year: 2025, Volume and Issue: 13(9), P. 1514 - 1514

Published: May 4, 2025

This study constructed a DGC-t-MSV model by integrating dynamic correlation and Granger causality into the MSV framework. Using daily closing price data from 4 January 2022 to 21 November 2024, it empirically analyzed volatility spillover effects between China’s carbon market traditional manufacturing an industrial heterogeneity perspective. The findings are as follows: (1) exhibits significant unidirectional on carbon-intensive industries, such steel, chemicals, shipbuilding, automobile manufacturing, with acting source. (2) Bidirectional exist industries forest products, textiles, construction engineering, machinery predominantly recipient. (3) general correlations where strength is positively associated industry-level emissions. Notably, significant, whereas those textile industry products relatively weaker. Furthermore, demonstrates substantially higher than industries. innovatively explored perspective, providing policy implications for their coordinated development.

Language: Английский

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