Smart city and green development: Empirical evidence from the perspective of green technological innovation

Yan, Zhang; Sun, Zhiguo; Shi, Rui; Zhao, Minjuan

doi:10.1016/j.techfore.2023.122507

Cited by 62 publications

(21 citation statements)

References 68 publications

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“…Green technology innovation is an important route to enhance energy savings and emission reduction capacity in the process of industrial production and economic development [25]. In the context of industrial intelligence, enterprise activities are no longer limited to the concentrated application of traditional labor but focus more on technology development, output efficiency, factor inputs, and cost savings [26].…”

Section: Green Technology Innovationmentioning

confidence: 99%

“…As an emerging field of scientific and technological development in China, AI can improve urban energy efficiency through green technology innovation, efficient allocation of market resources, and the optimization of the energy structure combined with ecological protection [25]. Since the above influence mechanisms work during a certain period, there may be a time lag affecting the increase in urban energy efficiency by AI development [43].…”

Section: Lagged One-period Regression Processingmentioning

confidence: 99%

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The Impact of Artificial Intelligence Development on Urban Energy Efficiency—Based on the Perspective of Smart City Policy

Li,

Wang,

Tang

2024

Sustainability

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China’s economy is stepping into a new stage of high-quality development. The shift not only marks the optimization and upgrading of the economic structure, but also reflects the in-depth implementation of the concept of sustainable development. In this context, the development of AI technology is playing an important role in balancing economic growth and ecological protection with its unique advantages. This paper empirically studied the impact of AI development on urban energy efficiency by constructing panel data for 282 prefecture-level cities from 2006 to 2019 and then using the super-efficiency SBM model based on non-expected outputs to evaluate the urban energy efficiency indicators of prefecture-level cities. It was discovered that the development of AI had a key influence on increasing urban energy efficiency and the optimization of the energy structure by speeding up green technology innovation and digital economy development, which in turn improved urban energy efficiency. In terms of heterogeneity analysis, AI development had a greater impact on urban energy efficiency in the eastern region, which has higher levels of human capital, financial independence, and government intervention. This study combined the smart city pilot policy with a multi-period DID model, based on the treatment of endogeneity issues, in order to perform a parallel trend test and investigate further the effects of policy implementation on the advancement of AI in the context of improving urban energy efficiency. Accordingly, to achieve green and sustainable urban development, the relevant government departments should increase funding for AI research and development, pay attention to the introduction and cultivation of professionals, establish a platform for international exchanges and cooperation between AI and energy management, and continue to advocate for the pilot development of smart cities to increase urban energy efficiency.

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Section: Green Technology Innovationmentioning

confidence: 99%

Section: Lagged One-period Regression Processingmentioning

confidence: 99%

The Impact of Artificial Intelligence Development on Urban Energy Efficiency—Based on the Perspective of Smart City Policy

Li,

Wang,

Tang

2024

Sustainability

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“…The continuous improvement of urban digitalization has established a solid technological foundation for low-carbonization. At a macro level, the expansion of digitalization can help the advancement of green technology [ 50 ]. The adoption and combination of advanced digital technologies including smart grids, intelligent control, energy-saving technologies, and new materials technology can help establish access standards for energy digital technologies and speed up the evolution and advancement of energy-efficient innovations to help eliminate outdated manufacturing capabilities and encourage development that is environmentally friendly and low-carbon [ 51 ].…”

Section: Theoretical Basismentioning

confidence: 99%

Can digitalization and low-carbonization progress in harmony? Evidence from Chinese cities

Guo

2023

PLoS ONE

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Achieving high-quality development of the city requires actively promoting coordinated digitalization and low-carbon development. Previous studies have focused on the unidirectional impact of urban digitalization on low-carbonization and there is a lack of research on their interactions. This study uses the generalized spatial three-stage least squares method and the spatial simultaneous equation to investigate the endogenous interactions between urban digitalization and low-carbonization. The properties of the spatiotemporal evolution are then examined using linked coordination degree models, kernel density, and spatial statistical approaches. Finally, using the spatial panel metering model, this study empirically investigates the motivations behind the synergistic advancement of digitalization and low-carbonization. The results show that: (1) There is an endogenous interaction between urban digitalization and low-carbonization and that this interaction pattern is closely linked to geographical proximity. (2) In general, both urban digitalization and low-carbonization have a positive spatial impact and a negative spatial interaction, and their coordination levels have a significant spatial impact. (3) Throughout the research period, the coordination degree of urban digitalization and low carbonization continued to increase, showing a positive spatial correlation and a balanced development trend. (4) Economic development, industrial structure, and human capital accumulation are vital internal drivers of the synergistic advancement of urban digitalization and low carbonization. Government capacities and technological innovations are key external factors that contribute to the synergistic advancement of urban digitalization and low-carbonization. Overall, the paper is essential not only to deepen understanding of the relationship between urban digitalization and low-carbonization but also to formulate policies for their coordinated development.

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“…Several studies have examined the impact of macroeconomic policies, such as fiscal policy [41], fiscal decentralization [42], and environmental decentralization [40], on promoting green development. Furthermore, some studies have employed methods like Difference-in-Differences (DID) analysis to evaluate the effects of specific policies on green development [43][44][45].…”

Section: Introductionmentioning

confidence: 99%

The Impact of the Integration of the Culture Industry and Tourism on Regional Green Development: Empirical Evidence from China

Qi,

You

2024

Sustainability

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The concept of “green development” has garnered increasing recognition and prominence in recent years, attracting the attention of various countries and regions. How to achieve green development has become a pressing issue for the government. The integration of the culture industry and tourism has had a profound impact on regional green development. This paper employs the entropy method to assess the level of regional green development, and it employs the coupling coordination model to evaluate the degree of integration of the culture industry and tourism across 30 provincial administrative regions in China from 2011 to 2021. Additionally, an econometric model is constructed to empirically examine the impact of the integration of the culture industry and tourism on regional green development, as well as its underlying mechanism. The findings of this study indicate the following: (1) The integration of the culture industry and tourism significantly enhances regional green development. (2) With the improvement in the regional green development level, the integration of the culture industry and tourism is playing a gradually stronger role in promoting regional green development. (3) Further analysis of the mechanism reveals that the integration of the culture industry and tourism enhances regional green development by facilitating the upgrading of the tourism industrial structure. (4) Environmental regulation policies reinforce the role of the integration of the culture industry and tourism in promoting regional green development. These research findings contribute to enhancing our understanding of the impact of the integration of the culture industry and tourism on regional green development, providing empirical evidence and policy recommendations for the government to facilitate the integration of the culture industry and tourism and further promote green development.

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Smart city and green development: Empirical evidence from the perspective of green technological innovation

Cited by 62 publications

References 68 publications

The Impact of Artificial Intelligence Development on Urban Energy Efficiency—Based on the Perspective of Smart City Policy

The Impact of Artificial Intelligence Development on Urban Energy Efficiency—Based on the Perspective of Smart City Policy

Can digitalization and low-carbonization progress in harmony? Evidence from Chinese cities

The Impact of the Integration of the Culture Industry and Tourism on Regional Green Development: Empirical Evidence from China

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