The impact of green finance on green growth: The role of green energy and green production DOI Creative Commons
Nguyễn Đức Trung, Tran Thi Kim Oanh,

Thanh Dan Bui

и другие.

Heliyon, Год журнала: 2024, Номер 10(16), С. e36639 - e36639

Опубликована: Авг. 1, 2024

This study examines the linkage of green finance and growth under regulatory role energy production in 52 countries worldwide from 2005 to 2019. Applying Bayesian regression GMM regression, results these two methods are similar. When ignoring production, negatively impacts growth. result is entirely opposite when considering positively. However, more effective providing different posterior probability intervals ranges for independent variables affect dependent variable. Specifically, that financial has a negative impact on above 75.86 %. Similarly, energy, positive 80.45 % this 76.64 These findings imply should build system associated with goal thereby helping economy become greener.

Язык: Английский

Can artificial intelligence contribute to the new energy system? Based on the perspective of labor supply DOI
Chien‐Chiang Lee,

Jiangnan Li,

Jingyang Yan

и другие.

Technology in Society, Год журнала: 2025, Номер unknown, С. 102877 - 102877

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Suppliers’ AI adoption and customers’ carbon emissions: firm-level evidence from China DOI
Feng Han, Qin Qi, Shengjie Zhou

и другие.

Applied Economics, Год журнала: 2025, Номер unknown, С. 1 - 15

Опубликована: Март 27, 2025

Using panel data of Chinese listed firms from 2010 to 2021, we investigate whether and how suppliers' artificial intelligence (AI) adoption affects their customers' carbon emissions. We find that increased AI by supplier reduces emissions, this result is robust various tests. The main mechanisms are the innovation chain (measured green patents) capital (based on trade credit). Cross-sectional analyses reveal negative impact more pronounced for customers boasting higher ESG score, better absorptive capacity, lower resource endowments, or stronger coordination with suppliers. also show as adopt AI, own emissions rise, but downstream across multiple tiers fall. Our findings suggest a firm's position in supply determines positively negatively impacts its

Язык: Английский

Процитировано

0

How can AI reduce carbon emissions? Insights from a quasi-natural experiment using generalized random forest DOI

Lingbing Feng,

Jiajun Qi,

Yuhao Zheng

и другие.

Energy Economics, Год журнала: 2024, Номер 141, С. 108040 - 108040

Опубликована: Ноя. 17, 2024

Язык: Английский

Процитировано

3

Progress in multi-electron sodium vanadium phosphate cathode for emerging sodium-ion batteries DOI Creative Commons
Hussam Razzaq, Chun‐Chen Yang, Muhammad Norhaffis Mustafa

и другие.

Progress in Materials Science, Год журнала: 2024, Номер 151, С. 101424 - 101424

Опубликована: Дек. 22, 2024

Язык: Английский

Процитировано

3

The impact of green finance on green growth: The role of green energy and green production DOI Creative Commons
Nguyễn Đức Trung, Tran Thi Kim Oanh,

Thanh Dan Bui

и другие.

Heliyon, Год журнала: 2024, Номер 10(16), С. e36639 - e36639

Опубликована: Авг. 1, 2024

This study examines the linkage of green finance and growth under regulatory role energy production in 52 countries worldwide from 2005 to 2019. Applying Bayesian regression GMM regression, results these two methods are similar. When ignoring production, negatively impacts growth. result is entirely opposite when considering positively. However, more effective providing different posterior probability intervals ranges for independent variables affect dependent variable. Specifically, that financial has a negative impact on above 75.86 %. Similarly, energy, positive 80.45 % this 76.64 These findings imply should build system associated with goal thereby helping economy become greener.

Язык: Английский

Процитировано

2