Are low-carbon cities and the development of the artificial intelligence industry contradictory?Evidence from China DOI
Liyaning Tang, Shaodong Xie,

yuan xu

et al.

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

Published: April 25, 2025

Abstract The ‘low-carbon city’ pilot policy is a crucial measure for China to advance green and low-carbon development. rapid growth of the artificial intelligence industry may lead significant energy consumption carbon emissions, prompting discussions about potential conflict between city construction sector. This study utilizes China’s as natural experiment, employs staggered double difference model (Staggered DID), empirically tests impact on development urban industry, thoroughly explores its mechanisms heterogeneity characteristics. findings reveal that has not hindered industry. Compared non-pilot cities, policy's implementation resulted in an average increase approximately 29.4% size cities. By examining characteristics across different segments chain, this identifies varied effect promoting regional by altering structure, primarily driving clustering downstream low-emission chain. Additionally, enhancing level innovation mainly supports high-emission upstream Heterogeneity analysis further indicates positive effects significantly differ various regions, tiers, economic zones, cities with differing levels industrialization. only confirms compatibility but also offers vital insights balancing emission targets.

Language: Английский

Has the Pilot Project of Innovative Cities Increased Economic Growth? An Empirical Study Based on Chinese Cities DOI Open Access

Enni Xu,

Zihan Xiao,

Zhengwen Wang

et al.

Regional science and environmental economics, Journal Year: 2024, Volume and Issue: 1(1), P. 31 - 45

Published: Sept. 20, 2024

In an era of global economic slowdown, effectively stimulating urban development has become a critical challenge for governments around the world. Based on panel data 280 prefecture-level cities in China from 2006 to 2017, this study adopts double-difference method evaluate impacts innovative pilot policies growth, explore mechanism through intermediary effect model, and heterogeneity with different endowments by sub-samples. This shows following: (1) The policy significantly promoted their growth: GDP growth rates are 1.14 percent higher than those non-pilot cities. (2) city can improve technological progress human capital, thereby promoting growth. (3) promotion economy varies region, size, administration grade, market level, government efficiency. Specifically, have most substantial positive effects lower administrative levels, smaller sizes, less orientation, research, based world’s largest economy, evaluates impact intervention—targeted innovation policies—on development, providing valuable insights into how be tailored optimized diverse contexts.

Language: Английский

Citations

5
The Influence of Government Health Investment on Economic Resilience: A Perspective from Health Human Capital DOI Creative Commons
Tian Guo,

Yun Tong,

Yuanze Yu

et al.

International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: unknown, P. 104050 - 104050

Published: March 1, 2025

Language: Английский

Citations

0
The Influence of “Industry–City–Innovation” Functional Mixing on the Innovative Development of Sci-Tech Parks Under the Background of Urbanization DOI Open Access
Yue Yang,

Y. Liu,

Qiujie Chen

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3715 - 3715

Published: April 20, 2025

The development of sci-tech parks (STPs), as the spatial carrier urbanization and growth pole innovation economy, cannot be separated from integration three key elements “industry”, “city”, “innovation”. This study selects Hangzhou West Hi-Tech Corridor, which represents forefront practice China’s STPs is a high-quality model with highly integrated “industry–city–innovation” functions, case. By using multi-source data, such geographic information point interest (POI), research methods, Shannon entropy index quadratic curve regression, this examines influence functional mixing on innovative STPs, explores optimal degree interval. results show that functions can promote STPs’ development, to certain extent, in design urban planning. However, higher not always better, excessively high may inhibit development. conducive range 0.14 0.16. an effective application “industry¬–city–innovation” theory, provides constant source power for acts reference future new cities STPs.

Language: Английский

Citations

0
Are low-carbon cities and the development of the artificial intelligence industry contradictory?Evidence from China DOI
Liyaning Tang, Shaodong Xie,

yuan xu

et al.

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

Published: April 25, 2025

Abstract The ‘low-carbon city’ pilot policy is a crucial measure for China to advance green and low-carbon development. rapid growth of the artificial intelligence industry may lead significant energy consumption carbon emissions, prompting discussions about potential conflict between city construction sector. This study utilizes China’s as natural experiment, employs staggered double difference model (Staggered DID), empirically tests impact on development urban industry, thoroughly explores its mechanisms heterogeneity characteristics. findings reveal that has not hindered industry. Compared non-pilot cities, policy's implementation resulted in an average increase approximately 29.4% size cities. By examining characteristics across different segments chain, this identifies varied effect promoting regional by altering structure, primarily driving clustering downstream low-emission chain. Additionally, enhancing level innovation mainly supports high-emission upstream Heterogeneity analysis further indicates positive effects significantly differ various regions, tiers, economic zones, cities with differing levels industrialization. only confirms compatibility but also offers vital insights balancing emission targets.

Language: Английский

Citations

0