The impact of digital economy development on carbon emissions -- based on the Yangtze River Delta urban agglomeration

Zha, Qifen; Huang, Chuan Zhen; Kumari, Sonia

doi:10.3389/fenvs.2022.1028750

Cited by 16 publications

(11 citation statements)

References 28 publications

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“…Existing research has mainly utilized the entropy method and principal component analysis to measure the level of the DE's development [35][36][37][38]. Subjective weighting methods, such as principal component analysis, may create problems such as randomness due to human factors [35,39].…”

Section: The Entropy Methodsmentioning

confidence: 99%

Study on the Coupling Coordination Development between the Digital Economy and Innovation Efficiency: Evidence from the Urban Agglomeration in the Middle Reaches of the Yangtze River

Jiang,

Yang,

Zhou

2024

Land

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The urban agglomeration in the middle reaches of the Yangtze River holds a crucial strategic position in China’s economic and social development landscape. Exploring the coordinated development effects within the digital economy and innovation in this area is conducive to promoting the development of the central region of China and the Yangtze River Economic Belt. This paper uses the 28 sample cities in urban agglomeration in the middle reaches of the Yangtze River as the study sample, and constructs a digital economy indicator system and an urban innovation efficiency indicator system. Based on the coupling coordination degree model, we use kernel density estimation, the Markov chain algorithm, and the Dagum Gini coefficient decomposition method to empirically investigate the dynamic trends in coupling coordination development between the digital economy and urban innovation efficiency from 2012 to 2021. The research results reveal an overall upward trend in the digital economy, innovation efficiency, and coupling coordination development stages. However, the upward trend is accompanied by the risk of recession. Moreover, there are significant differences between cities, as highlighted by the differences between Wuhan and other cities. In the light of the findings, it is recommended that government departments take measures, including being alert to the risk of regressive development, developing cities in a realistic manner, and drawing on the experiences of outstanding cities in development. This research can provide new insights and empirical references for government entities to take measures for a more coordinated development of the digital economy and innovation efficiency in the urban agglomeration in the middle reaches of the Yangtze River.

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Section: The Entropy Methodsmentioning

confidence: 99%

Study on the Coupling Coordination Development between the Digital Economy and Innovation Efficiency: Evidence from the Urban Agglomeration in the Middle Reaches of the Yangtze River

Jiang,

Yang,

Zhou

2024

Land

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“…The carbon emission sources of cities were set as direct and indirect energy consumption. Direct energy includes liquefied petroleum gas, coal, and natural gas, and indirect energy includes electricity and heat (Zha et al, 2022). Carbon emissions from direct energy sources were mainly calculated based on the carbon emission conversion coefficients of various energy sources published in the 2006 IPCC Guidelines for National Greenhouse Gas Inventories.…”

Section: Dependent Variablementioning

confidence: 99%

Impact of digital technology on carbon emissions: Evidence from Chinese cities

2023

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IntroductionPromoting the development of digital technology is an important step in meeting the challenge of global climate change and achieving carbon peaking and carbon neutrality goals.MethodsBased on panel data of Chinese cities from 2006 to 2020, this paper used econometrics to investigate the impact and mechanism of digital technology on carbon emissions.ResultsThe results showed that digital technology can significantly reduce carbon emission intensity and improve carbon emission efficiency. These results remained robust after changing the estimation method, adding policy omission variables, replacing core variables, and solving the endogeneity problem. Digital technology can indirectly reduce carbon emissions by promoting green technological innovation and reducing energy intensity, and it plays a significant role in the carbon emission reduction practices of carbon emission trading policies and comprehensive national big data pilot zones. The replicability, non-exclusivity, and high mobility of digital technology help to accelerate the spread of knowledge and information between different cities, which leads to a spillover effect on carbon emission reductions. Our unconditional quantile regression model results showed that digital technology’s carbon emission reduction effect continuously decreases with increases in carbon dioxide emissions.DiscussionThe results of this paper provide evidence for the potential use of digital technology in achieving the goal of carbon neutrality, which is of great significance for achieving high-quality innovation and promoting the green transformation of the economy and society.

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“…On the other hand, some studies have noted the spillover effects of the development of the digital economy. Such as Zha et al ( 2022 ) found that the development of digital economy can not only abate the carbon emission intensity of the specific region, but also effectively improve the environmental performance of surrounding cities. Shen et al ( 2022 ) found that the development of local digital economy is highly correlated with economic development level, and the development of digital economy has a positive spillover effect on environmental performance in surrounding areas.…”

Section: Literature Reviewmentioning

confidence: 99%

Can the digital economy development achieve the effect of pollution reduction? Evidence from Chinese Cities

Guo

Zhao

2023

Environ Sci Pollut Res

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As a new economic form, the digital economy is not only empowering new impetus to economic growth, but also reshaping specific business forms of economical operation. Therefore, we conducted an empirical test to verify the impact and mechanism of pollution reduction in the digital economy, based on the panel data of 280 prefecture-level cities in China from 2011 to 2019. The results show that, first the development of the digital economy indeed has the positive effect of realizing pollution reduction. The results of mediating effect test indicate the influence mechanism mainly rely on promoting the upgrading of industrial structure (structural effect) and upgrading the level of green technology innovation (technical effect). Second, the results of regional heterogeneity analysis show that the emission reduction effect of digital economy development on four pollutants is characterized by weakness in the east and strong in the west in regional distribution. Third, the development of digital economy has a threshold effect on the level of economic development to achieve its pollution reduction effect. Further identification of the threshold effect indicates that the higher the level of economic development, the better in emission reduction effect.

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The impact of digital economy development on carbon emissions -- based on the Yangtze River Delta urban agglomeration

Cited by 16 publications

References 28 publications

Study on the Coupling Coordination Development between the Digital Economy and Innovation Efficiency: Evidence from the Urban Agglomeration in the Middle Reaches of the Yangtze River

Study on the Coupling Coordination Development between the Digital Economy and Innovation Efficiency: Evidence from the Urban Agglomeration in the Middle Reaches of the Yangtze River

Impact of digital technology on carbon emissions: Evidence from Chinese cities

Can the digital economy development achieve the effect of pollution reduction? Evidence from Chinese Cities

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