Sensitivity Analysis of Factors Influencing Coal Prices in China DOI Creative Commons

Jingye Lyu,

Chong Li,

Wenwen Zhou

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(24), P. 4019 - 4019

Published: Dec. 21, 2024

A scientific assessment of the sensitivity Chinese coal market has become an important research topic. This paper combines Gaussian Process Regression (GPR) and Sobol analysis to construct a GPR–Sobol hybrid model innovatively applied market, thus addressing gap in economic applications this method. The is used analyze factors influencing prices China. effectively handles nonlinear relationships, enabling in-depth exploration key affecting price volatility quantifying their impacts, overcoming limitations traditional econometric models data processing. results indicate that growth, energy prices, interest rates, exchange uncertainty exhibit high significantly impact fluctuations Coal northwest China are more sensitive rates geopolitical risks, while east south responsive but less so policy uncertainty. Additionally, north, south, highly international indicating dominated by global yet weak response macroeconomic indicators suggests these regions still insufficiently mature.

Language: Английский

The Unexpected Effect of Digital Inclusive Finance on DOI
Youwei Li,

Yehui Han

Finance research letters, Journal Year: 2025, Volume and Issue: unknown, P. 107148 - 107148

Published: March 1, 2025

Language: Английский

Citations

1
The impact of digital inclusive finance on enterprise digital technology innovation: empirical evidence from the Chinese manufacturing industry DOI Creative Commons
Hongcheng Ling,

Xiaohong Ling

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 16, 2025

Language: Английский

Citations

0
High-Quality Business Environment and Digital Transformation Empowering Economic Resilience DOI

泆麟 郭

E-Commerce Letters, Journal Year: 2025, Volume and Issue: 14(04), P. 2390 - 2397

Published: Jan. 1, 2025

Language: Английский

Citations

0
Digital economy, financial development and carbon emissions: based on the impact of countries and regions worldwide DOI
Ye Cheng, Xinyi Huang,

Hongjing Ou

et al.

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: March 29, 2025

Language: Английский

Citations

0
Effects and mechanisms of digitalization to enhance the resilience of the hog breeding industry: evidence from China DOI Creative Commons

Junguo Hua,

Chunhui Ma, Wěi Li

et al.

Frontiers in Sustainable Food Systems, Journal Year: 2024, Volume and Issue: 8

Published: Oct. 15, 2024

Introduction With the rapid development of digital agriculture, digitalization has gradually become a key factor affecting resilience China’s pig farming industry. Methods From both test results and theoretical point view, individual fixed-effect model is more suitable for this paper’s study. Therefore, based on panel data 31 provinces in China from 2011 to 2022, study constructs an examine how digitization affects Results discussion The findings indicated that significantly enhanced hog breeding industry, especially potential growth areas. Improving technology scale crucial avenue bolster industry’s resilience. Digitalization exerts double threshold effect resilience, with its promotional impact only realized within specific range. article proposes policy suggestions, such as strengthening infrastructure construction giving play regional advantages.

Language: Английский

Citations

1
The impact of digital policies on urban economic resilience under the low-carbon background: A Deep Identification Based on Environmental Regulation and Industrial Digital Transformation DOI Creative Commons
Yang Zheng, Wei Chen,

Wandan Zou

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(21), P. e39583 - e39583

Published: Oct. 18, 2024

Language: Английский

Citations

0
Sensitivity Analysis of Factors Influencing Coal Prices in China DOI Creative Commons

Jingye Lyu,

Chong Li,

Wenwen Zhou

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(24), P. 4019 - 4019

Published: Dec. 21, 2024

A scientific assessment of the sensitivity Chinese coal market has become an important research topic. This paper combines Gaussian Process Regression (GPR) and Sobol analysis to construct a GPR–Sobol hybrid model innovatively applied market, thus addressing gap in economic applications this method. The is used analyze factors influencing prices China. effectively handles nonlinear relationships, enabling in-depth exploration key affecting price volatility quantifying their impacts, overcoming limitations traditional econometric models data processing. results indicate that growth, energy prices, interest rates, exchange uncertainty exhibit high significantly impact fluctuations Coal northwest China are more sensitive rates geopolitical risks, while east south responsive but less so policy uncertainty. Additionally, north, south, highly international indicating dominated by global yet weak response macroeconomic indicators suggests these regions still insufficiently mature.

Language: Английский

Citations

0