Is the digital economy an effective tool for decreasing energy vulnerability? A global case

Dong, Kangyin; Liu, Yang; Wang, Jianda; Dong, Xiucheng

doi:10.1016/j.ecolecon.2023.108028

Cited by 16 publications

(1 citation statement)

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“…With the enhancement of the degree of DE development, the DE can improve the efficiency of energy utilization and promote the level of urban EWP, mainly in the following three aspects: First, the DE relies on strong digital technology and massive data elements, can break through the limitations of space and time, and can accelerate the exchange of knowledge and technology between economic agents, giving rise to new technologies, new business forms, and new modes related to energy production and consumption, thus promoting urban energy conservation and utilization (EUE) and reducing the negative impact of pollution emissions on EWP (Akizu-Gardoki et al, 2020). Second, the development of DE can promote the deeply embedded integration of digital technologies such as big data, artificial intelligence, cloud computing, and enterprises, which can improve the original production process and industrial organization, eliminate high-consumption and low-efficiency industries, and reduce the energy consumption of the unit output, which, in turn, promotes the improvement of EWP level (Dong et al, 2024). Third, DE development changes the public's consumption concept; promotes consumption upgrading; invariably enhances the public's awareness of energy conservation, environmental protection, and green, low-carbon economy; and stimulates residents' preference for the selection of green and low-carbon products and services , which helps to form an energy-saving and carbon-reducing lifestyle, thus improving the city's EWP.…”

Section: Energy Conservation and Utilization Effectsmentioning

confidence: 99%

Nonlinear spatial impacts of the digital economy on urban ecological welfare performance: evidence from China

Wang,

2024

Front. Ecol. Evol.

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IntroductionWith the rapid development of digital technology and its deep integration with environmental and ecological fields, the digital economy has become an effective way to guide the transition of cities to an eco-friendly model. However, empirical studies on the nonlinear spatial effects between digital economy and ecological welfare performance are still insufficient.MethodsBased on the panel data of 270 prefecture-level cities in China from 2011 to 2020, this paper empirically examines the impact of the digital economy on the ecological welfare performance of cities and its mechanism of action using spatial econometric modeling.ResultsThe promotion effect of digital economy development on the ecological welfare performance of cities is characterized by the “J” shape of increasing marginal effect, and the spatial spillover effect on the ecological welfare performance of neighboring cities is the inverted “U” shape of inhibiting first and then promoting later. The mechanism test shows that the development of digital economy can enhance the ecological welfare performance of cities through the marginal incremental promotion of green technological innovation in local and neighboring cities and has a positive spatial spillover effect. The development of digital economy can have a direct U shape effect on local ecological welfare performance by influencing factor allocation efficiency and energy utilization efficiency. It also has an inverted U-shaped spatial spillover effect. Environmental regulation has an inverted U-shaped moderating effect on the local eco-welfare performance affected by the digital economy. As the level of rural revitalization increases, it produces a U-shaped moderating effect of inhibiting. Heterogeneity analysis reveals that digital economy development has a more significant facilitating effect and a positive spatial spillover effect on the ecological welfare performance of cities in central China.DiscussionThis paper will provide a reference for the synergistic optimization of digital economy development and ecological welfare performance among regions. The findings of the study will promote the development of digital economy and accelerate the realization of the goal of “Beautiful China”.

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Section: Energy Conservation and Utilization Effectsmentioning

confidence: 99%