Optimizing financial success: The synergistic impact of artificial intelligence and R&D investments in U.S. firms DOI Creative Commons
Sonia Kumari,

Raja Shaikh,

Mujeeb‐u‐Rehman Bhayo

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

Abstract The use of artificial intelligence (AI) and intellectual machines can support businesses in performing various activities. Therefore, it is necessary to examine the performance outcomes by assessing concentration AI technologies. To create a quantifiable score concentration, AI-related terms are identified annual reports all listed firms U.S. For analysis purposes, fixed effects model employed, using firms’ panel data from 2003 2022. reveals that beneficial for company’s financial success. Additional examines moderating role research development (R&D). Firms with higher R&D spending experience increased benefits concentrating on uniqueness this study lies analyzing success through parameters. findings AI, combined spending, attain greater main insights suggest management must evaluate their existing focus improve position. JEL Classification: F65; G30; O32; P33

Language: Английский

Can environmental regulation foster incremental enhancement and quality improvement in green technological innovation under the background of the digital development? DOI
Yan Song, Lu Zhang, Xueying Dong

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: April 3, 2024

Language: Английский

Citations

4
Carbon emissions cap or energy technology subsidies? Exploring the carbon reduction policy based on a multi-technology sectoral DSGE model DOI Creative Commons
Jianping Gu, Yi Li, Jingke Hong

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: June 20, 2024

Abstract As global climate change becomes increasingly severe, energy technology innovation has become a key means of coping with the crisis and realizing green low-carbon development. However, existing literature rarely examines effects carbon emission reduction policies based on perspective progress for both short-term economic fluctuations long-term equilibrium. This paper introduces fossil sector renewable into dynamic stochastic general equilibrium (DSGE) model, compares effectiveness cap policy, subsidy policy under framework China’s trading market in promoting macroeconomic growth controlling pollutant emissions. We found that long-term, effect falls short other two policies, subsidizing fuel technologies is more cost-efficient comparatively. The government expenditure shock can all stimulate crowding out private investment household consumption, whereas research productivity leads to decline total output an increase demand. In addition, emissions are pro-cyclical impact counter-cyclical policies. article constructs multi-technology sectoral expanding theoretical evaluating At same time, it proves importance implement phased while implementing which provides important enlightenment implementation adjustment policy.

Language: Английский

Citations

4
Does ESG Performance Enhance Corporate Green Technological Innovation? Micro Evidence from Chinese-Listed Companies DOI Open Access

Chunmei Lu,

Cisheng Wu, Linjie Feng

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 636 - 636

Published: Jan. 15, 2025

This study investigates the impact of Environmental, Social, and Governance (ESG) performance on green technological innovation (GTI) Chinese A-share-listed companies, using data from 2009 to 2022. The findings indicate that strong ESG significantly enhances GTI, with this effect being more pronounced in state-owned firms non-high-tech sectors, demonstrating heterogeneity across firm types. Mechanism analysis reveals facilitates GTI by mitigating financing constraints boosting R&D investments. Moreover, identifies a non-linear relationship, wherein varies size environmental regulation intensity, as confirmed through threshold model. not only deepens theoretical framework linking corporate but also uncovers practical mechanisms which drives providing both insights foundations for governments formulate transition policies.

Language: Английский

Citations

0
Transition From Traditional Infrastructure to New Digital Infrastructure, a Better Road to Narrow Green Innovation Gap? the Perspective of Convergence DOI
Yue Huang, Nian Wang, Zheng Lu

et al.

Journal of the Knowledge Economy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 17, 2025

Language: Английский

Citations

0
Optimizing financial success: The synergistic impact of artificial intelligence and R&D investments in U.S. firms DOI Creative Commons
Sonia Kumari,

Raja Shaikh,

Mujeeb‐u‐Rehman Bhayo

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

Abstract The use of artificial intelligence (AI) and intellectual machines can support businesses in performing various activities. Therefore, it is necessary to examine the performance outcomes by assessing concentration AI technologies. To create a quantifiable score concentration, AI-related terms are identified annual reports all listed firms U.S. For analysis purposes, fixed effects model employed, using firms’ panel data from 2003 2022. reveals that beneficial for company’s financial success. Additional examines moderating role research development (R&D). Firms with higher R&D spending experience increased benefits concentrating on uniqueness this study lies analyzing success through parameters. findings AI, combined spending, attain greater main insights suggest management must evaluate their existing focus improve position. JEL Classification: F65; G30; O32; P33

Language: Английский

Citations

0