Can the Digital Economy Promote the Upgrading of Urban Environmental Quality?

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(3), P. 2243 - 2243

Published: Jan. 27, 2023

As the core of economic development, digital economy plays an essential role in promoting urban environmental quality. In this study, we constructed a comprehensive indicator system using two dimensions, i.e., internet and finance, to measure development situation economy, used principal component analysis assess it. From three perspectives ecological environment state, pollution degree, governance ability, entropy method was quality environment. On basis panel data from 275 cities (prefecture-level above) China 2011 2019, empirically analyzed impact on two-way fixed effect model spatial Dubin model. The research shows that significantly promotes upgrades. This conclusion still holds when considering endogeneity. is mainly achieved by technological innovation, optimizing industrial structure, enhancing market competition. Further demonstrated does not improvement small- medium-sized cities, but has positive upgrading large cities. promoted region. However, no significant surrounding areas.

Language: Английский

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Impact of the digital economy on carbon dioxide emissions in resource-based cities

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 17, 2024

Abstract With the rapid development of digital economy, its environmental impact, particularly on carbon dioxide emissions in resource-based cities, has emerged as a vital research topic. Resource-based often central to traditional industries, are confronted with dual challenges pollution and economic transformation. This study employs empirical analysis examine influence economy these cities. The findings reveal that significantly reduces emissions, this impact being more pronounced early stages gradually diminishing thereafter. In mechanism analysis, we found can reduce cities by raising public concern about environment. Moreover, highlights significant variations reduction effects among different types noting stronger regulations further enhance effects. These insights not only provide new theoretical perspective but also offer practical guidance for policymakers promoting sustainable within economy.

Language: Английский

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Carbon Emission Reduction Effects of the Digital Economy: Mechanisms and Evidence from 282 Cities in China

Land, Journal Year: 2023, Volume and Issue: 12(4), P. 773 - 773

Published: March 29, 2023

The digital economy has great potential to boost innovation and social productivity, it plays an important role in helping achieve carbon peak neutrality. This study focuses on analyzing testing the of promoting reduction Chinese cities. Based panel data 282 cities China from 2011 2019, this measured development level emission intensity by constructing a evaluation index system inversion model, respectively. It was found that can significantly reduce urban emissions industrial structure upgrading green innovation, will have more obvious promotion effect over time. conclusion be valid after we performed robustness tests such as instrumental variable method, quasi-experimental analysis, placebo test. Furthermore, heterogeneity analysis showed eastern, regenerative, provincial capital are better able promote under economy. provides new empirical evidence at city for developing acts useful reference countries realize “smart reduction”.

Language: Английский

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Spatial-Temporal Characteristics and Driving Factors of Coupling Coordination between the Digital Economy and Low-Carbon Development in the Yellow River Basin

Sustainability, Journal Year: 2023, Volume and Issue: 15(3), P. 2731 - 2731

Published: Feb. 2, 2023

Enhancing the level of coupling coordination between digital economy and low-carbon development is not only an inevitable choice for implementing strategy ecological protection high-quality in Yellow River Basin, but also a key path to achieve China’s “Double Carbon” goal. The 78 cities Basin from 2011 2020 measured by model, spatial-temporal characteristics driving factors are analysed using Dagum Gini coefficient, spatial autocorrelation model geographic detector. This study found following: (1) Rapid growth economy, with slow development. degree two systems steadily improved moved stage near-disorder primary coordination. (2) spatially characterised lower reaches > middle upper reaches, provincial capitals some coastal have higher Spatial differences tend widen, inter-regional being main source overall differences. (3) There was significant positive correlation Local clustering were dominated High-High (H-H) areas Shandong Low-Low (L-L) south-eastern Gansu. (4) driven both internal external systems, internet penetration size telecommunications industry within system as most important coordination, interactions different drivers all enhanced.

Language: Английский

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Government Intervention, Structural Transformation, and Carbon Emissions: Evidence from China

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(2), P. 1343 - 1343

Published: Jan. 11, 2023

Government intervention and structural transformation play an important role in both the economy carbon emissions. Based on provincial panel data from China 2003 to 2020, this paper employs econometric models investigate impact of government In particular, is divided into two indicators: The rationalization industrial structure upgrading structure. According research findings, has significantly promoted emissions had dual effects emissions; meanwhile, increased emissions, while slowed down with these findings passing corresponding robustness test. relationship between intervention, transformation, varies over time across regions. Further investigations revealed that have a significant various quantiles. Finally, makes policy recommendations order provide empirical support for promoting China’s high-quality economic development achieving “double carbon” goal.

Language: Английский

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Does Digital Technology Application Promote Carbon Emission Efficiency in Dairy Farms? Evidence from China

Agriculture, Journal Year: 2023, Volume and Issue: 13(4), P. 904 - 904

Published: April 20, 2023

The implementation of digital technology has become paramount to facilitating green and low-carbon development in dairy farms amidst the advent agriculture agriculture. This study examined impact on carbon emission efficiency Chinese via an assessment micro-survey data, incorporating Undesirable Outputs-SBM model, a Tobit propensity score matching technique, quantile regression instrumental variable approach. potential moderating influence environmental regulations applications farms. findings research indicate that had considerable beneficial consequence proficiency statistical significance level mean treatment effect was 0.1161, with most profound precision feeding application more pronounced lower levels compared those medium high efficiency. toward is positively moderated by regulations. Finally, this paper puts forward some specific policy recommendations achieve strategic goal low efficient through technology, which enriches existing reduction from theoretical practical aspects.

Language: Английский

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The Impact of the Digital Economy on Total-Factor Carbon Emission Efficiency in the Yellow River Basin from the Perspectives of Mediating and Moderating Roles

Systems, Journal Year: 2024, Volume and Issue: 12(3), P. 99 - 99

Published: March 15, 2024

China’s digital economy has been expanding rapidly in the past decade. This expansion is having a profound impact on country’s economy. Using panel data 97 prefecture-level cities Yellow River Basin from 2011 to 2020, this study investigates multifaceted relationship between and total-factor carbon emission efficiency. The research yields three key findings: (1) positively enhances overall conclusion drawn with robustness tests. (2) Green technology innovation serves as partial mediator efficiency, mediation role influenced by government intervention, which negatively moderates green but impacts of (3) positive efficiency more significant upper reaches, lower resource-based Basin. These findings provide new perspectives empirical evidence for better understanding development They also policy recommendations achieving strategic objectives, including development, reduction, peaking, neutrality.

Language: Английский

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The Role of Urban Digital Intelligence in Fostering Sustainable Collaborative Innovation: An Analysis of Spillover Effects

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 1890 - 1890

Published: Feb. 23, 2025

Urban digital intelligence transformation (DIT) has emerged as a key driver of sustainable development in the era rapid technological advancement. This study utilized spatial Durbin model with difference-in-differences (SDM-DID) to explore intrinsic relationship between DIT and intercity collaborative innovation. The findings indicate that significantly enhances innovation locally other cities. accelerates movement R&D talent, capital, knowledge while driving across local neighboring cities by enhancing market potential. Collaborations enterprises universities exhibit stronger direct indirect positive effects, collectively Additionally, finds impact on substantial is greater than non-substantial Furthermore, large central promotional effect both neighbor innovation, fostering cooperation. These results deepen our understanding provide policy insights for collaboration promoting regional development.

Language: Английский

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Digital economy and environmental quality of African countries: evidence from spatial Durbin model

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

Published: Feb. 25, 2025

Language: Английский

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The Impact of Rural Digital Economy Development on Agricultural Carbon Emissions: A Study Based on Prefecture-Level Cities in China

Published: Jan. 1, 2025

Language: Английский

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