Synergistic evolution and driven path of digital economy, green technology innovation and ecological resilience: An empirical analysis based on city clusters in the middle reaches of the Yangtze River in China DOI Creative Commons
Linyan Wang,

Haiqing Hu,

Xianzhu Wang

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 28, 2023

Abstract In the background of synergistic development digitalization and greening, how to achieve digital economy, green technology innovation ecological resilience has become an important research issue. This study combines TOE theory construct a theoretical framework for resilience. Combined with data 28 cities in city cluster middle reaches Yangtze River from 2011 2021, level evolution technological was measured by using Haken model, driven path analyzed help fsQCA. The results show that: (1) observation period rising trend, there is significant difference between cities. (2) evolution, second stage first been improved, but more than half are still low-level stage, large space future rise. (3) Four paths have evolved high-level economy-led path, economy synergy-driven multi-dimensional respectively.

Language: Английский

Is artificial intelligence associated with carbon emissions reduction? Case of China DOI
Tao Ding,

Jiangyuan Li,

Xing Shi

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 85, P. 103892 - 103892

Published: July 14, 2023

Language: Английский

Citations

55

How does artificial intelligence affect the transformation of China's green economic growth? An analysis from internal-structure perspective DOI
Chao Feng,

Xinru Ye,

Jun Li

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 351, P. 119923 - 119923

Published: Jan. 3, 2024

Language: Английский

Citations

28

The impact of artificial intelligence on economic development DOI Creative Commons
Mohamed Ali Trabelsi

Journal of Electronic Business & Digital Economics, Journal Year: 2024, Volume and Issue: 3(2), P. 142 - 155

Published: May 1, 2024

Purpose This paper reviews recent research on the expected economic effects of developing artificial intelligence (AI) through a survey latest publications, in particular papers and reports issued by academics, consulting companies think tanks. Design/methodology/approach Our represents point view AI its impact global economy. It descriptive analysis phenomenon. Findings driver productivity growth. can increase efficiency significantly improve decision-making process analyzing large amounts data, yet at same time it creates equally serious risks job market polarization, rising inequality, structural unemployment emergence new undesirable industrial structures. Practical implications presents itself as building block for further introducing two main factors production function (Cobb-Douglas): labor capital. Indeed, Zeira (1998) Aghion, Jones (2017) suggested that stimulate growth replacing labor, which is limited resource, with capital, an unlimited both goods, services ideas. Originality/value study contributes to previous literature technological development, employment.

Language: Английский

Citations

8

The impact of industrial intelligence on green development: research based on intra- and inter-industry linkage effect DOI

Fengfu Mao,

Yuqiao Hou,

Xiaorui Xin

et al.

Clean Technologies and Environmental Policy, Journal Year: 2024, Volume and Issue: 26(6), P. 1843 - 1860

Published: Jan. 3, 2024

Language: Английский

Citations

7

Artificial Intelligence and Green Total Factor Productivity: The Moderating Effect of Slack Resources DOI Creative Commons
Ying Ying, Xiaoyan Cui, Shanyue Jin

et al.

Systems, Journal Year: 2023, Volume and Issue: 11(7), P. 356 - 356

Published: July 11, 2023

With the emergence of digital economy, technologies—such as artificial intelligence (AI)—have provided new possibilities for green development enterprises. Green total factor productivity is a key indicator sustainable development. While traditional does not consider constraints natural resources and environment, remedies this deficiency by incorporating environmental protection indicators, such pollutant emissions, into accounting system. To further clarify relationship between AI technology corporate productivity, study uses two-way fixed effects model to examine impact on A-share listed companies in China from 2013 2020 while examining how slack affect two. The results show that application positively contributes Meanwhile, firms’ absorbed, unabsorbed, potential all moderate positive productivity. This offers theoretical basis comprehensive understanding enterprises’ It also practical insights government formulate relevant policies enterprises use attain

Language: Английский

Citations

15

The Impact and Mechanisms of Artificial Intelligence on Green Economic Efficiency: Empirical Evidence from China’s GTFP Improvement DOI
Hui Huang,

Jing Yang,

Changman Ren

et al.

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

Published: Feb. 19, 2025

Language: Английский

Citations

0

Role of Artificial Intelligence (AI) in Economic Development DOI
Sonali Satpathy, Anish Patnaik, Vishal Jain

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 365 - 400

Published: Feb. 21, 2025

Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize various sectors and industries worldwide. Its applications encompass wide array of functions, including automation, data analytics, machine learning, predictive modelling. The ability AI process extensive datasets perform complex tasks exceptional speed accuracy positions it catalyst for significant advancements innovations. India, recognized one world's rapidly expanding economies, acknowledges essential role in fostering economic sustainability addressing social challenges. entire work assessed under six parameters. To determine sample size, an unknown population formula was employed, samples were selected accordingly. variables primarily derived from review literature discussions core group. For collection students engineering, management humanity considered.

Language: Английский

Citations

0

Digital Technologies as Necessity Innovative Strategies for Growth and Sustainability in Democratic Republic of Congo DOI

David Mukuna Kashala,

Ravinder Rena

Advances in logistics, operations, and management science book series, Journal Year: 2025, Volume and Issue: unknown, P. 111 - 132

Published: Feb. 7, 2025

As globalization accelerates, traditional economic models face unprecedented challenges, necessitating innovative strategies for growth and sustainability. The purpose of this paper is to focus on digital technologies as necessity sustainability in the Democratic Republic Congo (DRC). a long-term deep development that revolutionizes social, political, business conditions which we life, digitalization represents ‘classical' megatrend. Utilizing systematic methodology, research conducts comprehensive review available literature, includes diverse range academic publications like scholarly articles, books, reports. This study carries significant implications research, practical applications, societal impact. It underscores importance policymakers establishing conducive environment intelligence, encompassing financial openness, educational resources, infrastructure development, supportive regulatory frameworks.

Language: Английский

Citations

0

Artificial intelligence of robotics and green transformation: evidence from Chinese manufacturing firms DOI
Lei Sun, Jing Wang, Shanyong Wang

et al.

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

Published: March 20, 2025

Language: Английский

Citations

0

Ai and Firm Green Transformation: Empirical Evidence from China DOI
qiang wu,

Zhen apos er JIANG,

Fu Chuan Huang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0