Impact of green technology innovation based on IoT and industrial supply chain on the promotion of enterprise digital economy

Song, Rengao; Hu, Hui

doi:10.7717/peerj-cs.1416

Cited by 4 publications

(1 citation statement)

References 30 publications

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“…At present, under the background of global economic development and the continuous improvement of international technological level, artificial intelligence technology and intelligent industry are entering a period of rapid development. Studies have pointed out that the scale of China's AI industry has reached 10.06 billion in 2018, with a growth rate of 43.3%, and will grow by 3.43 billion in 2022 9 , 10 . This indicates that there is significant potential for the development of China’s artificial intelligence industry.…”

Section: Introductionmentioning

confidence: 99%

The influence of AI on the economic growth of different regions in China

Lin,

Wang,

Jing

et al. 2024

Sci Rep

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High-quality development plays a crucial role in China’s economic progress in the new era. It represents a new concept of advancement and mirrors the increasing aspirations of the populace for an improved standard of living. In this context, the role of artificial intelligence (AI) in promoting sustainable development cannot be overemphasized. This paper explores how AI technologies can drive the transition to a green, low-carbon and circular economy. We have established an index system to measure the development level of the artificial intelligence industry and the high-quality development of the economy, which is relevant to the current state of the artificial intelligence industry and the advancement of the economy. Panel data from 2008 to 2017 has been utilized for this purpose. Global principal component analysis method and entropy value method are employed in the evaluation. Through in-depth analysis of the application of artificial intelligence and environmental protection in various provinces and cities, we clarify that artificial intelligence promotes innovation, saves resources, and is conducive to the development of green economy in the new era.

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Section: Introductionmentioning

confidence: 99%

The influence of AI on the economic growth of different regions in China

Lin,

Wang,

Jing

et al. 2024

Sci Rep

View full text Add to dashboard Cite

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Impact of the Digital Economy on the Green Economy: Evidence from China

Wang,

Liu,

et al. 2024

Sustainability

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In recent years, the digital economy and the green economy have become integral parts of China’s economy. Chinese government has been actively expanding its support for the development of these sectors. However, there are still several obstacles hindering the progress of the digital economy and the green economy in China. The objective of this study is to delve into the impact mechanism of the digital economy on the green economy. Moreover, this paper innovatively integrates industrial structure and technological innovation into this impact process. We elucidate the significant roles played by these two mediating variables. Simultaneously, we employ the bidirectional fixed-effect model, baseline regression, and robustness tests to analyze the data from 31 provinces in China between 2012 and 2021. The conclusions of this study are as follows: (1) The development of the digital economy in China contributes to the improvement of the level of the green economy. (2) When the digital economy influences the green economy, the upgrading of industrial structure and technological innovation play significant roles. (3) The impact of the digital economy on the green economy varies across diverse regions in China. This study reveals the impact mechanism of the digital economy on the development of the green economy using variables of industrial structure and technological innovation. It enriches the research content in this field and extends the application scenarios of related research methods. The conclusions provide valuable references for promoting the development of both the digital economy and the green economy in China.

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Data-Driven Strategies on Growth Through AI and Machine Learning

Perumal,

S.,

Senthilkumar

et al. 2024

Advances in Computer and Electrical Engineering

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The fast-paced market of today is being helped by data-centric approaches that are enabled by artificial intelligence and machine learning. By utilizing enormous data sets to get practical insights and make informed decisions, this chapter analyzes how artificial intelligence and machine learning have the potential to alter company strategies significantly. Through the utilization of advanced analytics and predictive models, businesses can refine their operations, enhance their interactions with customers, and discover new chances for expansion. In addition, it discusses the difficulties and factors to take into account when putting AI and ML efforts into action, with a particular emphasis on data protection, ethics, and the employment of talented individuals. Within the context of the digital age, this chapter explores how data-driven initiatives that make use of artificial intelligence and machine learning have the potential to transform the business environment and promote sustainable growth.

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Impact of green technology innovation based on IoT and industrial supply chain on the promotion of enterprise digital economy

Cited by 4 publications

References 30 publications

The influence of AI on the economic growth of different regions in China

The influence of AI on the economic growth of different regions in China

Impact of the Digital Economy on the Green Economy: Evidence from China

Data-Driven Strategies on Growth Through AI and Machine Learning

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