Fueling green growth: Unveiling the catalyst of mineral resource trade in diverse economies

Wei, Aiping

doi:10.1016/j.resourpol.2023.104429

Cited by 6 publications

(1 citation statement)

References 34 publications

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“…At the same time, the early stage of the development of DE will be widely used in the mining industry (Nham et al, 2023), expanding the scale of fossil energy extraction, resulting in excessive consumption of resources and an increase in pollution emissions (Wei, 2024). Because mining and other heavily polluting industries are mostly located in the inter-city neighboring areas, the development of DE in the early stage of the EE in the neighboring cities may have a negative impact (Bi et al, 2022).…”

Section: De Development and Urban Ewpmentioning

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: De Development and Urban Ewpmentioning

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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Time‐Quantile and Frequency Response of Green Growth to Energy Vulnerability, Energy Uncertainty, and Geopolitical Risks

Uche

2024

Global Challenges

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The study explains the time‐quantile‐frequency adjustments of green growth to energy vulnerability, energy uncertainties, and geopolitical risks (GPR) in the United States (US). Novel insights with notable policy implications emerged following the empirical analysis of monthly data spanning 2000 m1–2022 m12. The study implemented the Wavelet Quantile Correlation (WQC), Wavelet Quantile Granger Causality, and the Rolling Windows Wavelet Quantile Granger Causality to understand the dynamics among the variables. Evidence from WQC divulged time‐specific positive and negative interactions between green growth and its determinants. Specifically, energy vulnerability dampened green growth more profoundly in the immediate and medium terms. However, in the long term, green growth prospers amidst energy vulnerability. This outcome reflects some policy effectiveness that reduced the negative effects of energy vulnerability for green growth. The effects of energy uncertainties are similar to that of energy vulnerability, with more profound damaging effects in the lower medium horizon of the distributions. GPR dampened green growth in the short run and enhanced it in the medium term, but it reduced green growth more profoundly in the long run. The pleasant effects of energy efficiency and digitalization are observed mostly in the long run, with notable green growth‐reducing effects mainly in the short run.

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What drives natural capital in E7 and G7 economies? The roles of energy transition and urbanization

Pan,

Pruseth,

Jose

et al. 2024

Journal of Cleaner Production

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Fueling green growth: Unveiling the catalyst of mineral resource trade in diverse economies

Cited by 6 publications

References 34 publications

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

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

Time‐Quantile and Frequency Response of Green Growth to Energy Vulnerability, Energy Uncertainty, and Geopolitical Risks

What drives natural capital in E7 and G7 economies? The roles of energy transition and urbanization

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