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

Jingye Lyu,

Chong Li,

Wenwen Zhou

и другие.

Mathematics, Год журнала: 2024, Номер 12(24), С. 4019 - 4019

Опубликована: Дек. 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.

Язык: Английский

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

Yehui Han

Finance research letters, Год журнала: 2025, Номер unknown, С. 107148 - 107148

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

2

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, Год журнала: 2025, Номер 12(1)

Опубликована: Март 16, 2025

Язык: Английский

Процитировано

0

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

HongJing Ou

и другие.

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Март 29, 2025

Язык: Английский

Процитировано

0

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

泆麟 郭

E-Commerce Letters, Год журнала: 2025, Номер 14(04), С. 2390 - 2397

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Financial inclusion and financial resilience: insights from current literature and future research agenda through bibliometric and content analysis approach DOI Creative Commons
Maheswar Sethi, Chandrika Prasad Das,

Suman Bindu

и другие.

Discover Sustainability, Год журнала: 2025, Номер 6(1)

Опубликована: Июнь 5, 2025

Язык: Английский

Процитировано

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

и другие.

Frontiers in Sustainable Food Systems, Год журнала: 2024, Номер 8

Опубликована: Окт. 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.

Язык: Английский

Процитировано

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

и другие.

Heliyon, Год журнала: 2024, Номер 10(21), С. e39583 - e39583

Опубликована: Окт. 18, 2024

Язык: Английский

Процитировано

0

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

Jingye Lyu,

Chong Li,

Wenwen Zhou

и другие.

Mathematics, Год журнала: 2024, Номер 12(24), С. 4019 - 4019

Опубликована: Дек. 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.

Язык: Английский

Процитировано

0