Does internet development improve green total factor energy efficiency? Evidence from China

Wu, Haitao; Hao, Yu; Ren, Siyu; Yang, Xiaodong; Xie, Gongnan

doi:10.1016/j.enpol.2021.112247

Cited by 407 publications

(176 citation statements)

References 58 publications

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“…One possible reason is that these provinces have a relatively low level of economic development. In the early stage of economic development, energy consumption is relatively large, The values in brackets are T values, and the values in [] are P values * represents P < 0.1; ** represents P < 0.05; *** represents P < 0.01 which brings relatively high economic growth (Wu et al 2018;Wu et al 2021b).…”

Section: Discussion Of Direct Effect Estimation Resultsmentioning

confidence: 99%

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Energy structure, digital economy, and carbon emissions: evidence from China

Yang

Ran

et al. 2021

Environ Sci Pollut Res

Self Cite

433

128

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As a new production factor, digitalization plays a vital role in society, economy, and the environment. Based on the expanded STIRPAT model, this paper empirically tests the impact of energy structure and digital economy on carbon emissions by panel data from 2011 to 2017 in 30 provinces of China. The results show that the energy structure mainly based on coal has a significant driving effect on carbon emissions. Compared with non-resource-based provinces, the increase of energy structure dominated by coal has a greater effect on carbon emission in resource-based provinces. It is worth noting that this kind of influence has a greater impact on the central region of China, followed by the western region and the eastern region. Besides, the digital economy has a significant moderating effect. With the development of digital economy, the impact of coal-based energy structure on carbon emissions is gradually decreasing. This effect is more significant in non-resource-based provinces and eastern China, but not significant in resource-based cities and central and western China.

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Section: Discussion Of Direct Effect Estimation Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Energy structure, digital economy, and carbon emissions: evidence from China

Yang

Ran

et al. 2021

Environ Sci Pollut Res

Self Cite

433

128

View full text Add to dashboard Cite

show abstract

“…Under the premise of determining the year and regional effects, the OLS regression results show that the influence coefficient of the development of the digital economy on the PM2.5 concentration is significantly negative, indicating that the development of the digital economy has significantly promoted the improvement of environmental quality. Wu et al [42] reached a similar conclusion that the development of the Internet has improved China's Green Total Factor Energy Efficiency (GTFEE), which is of great significance to China's energy conservation and emission reduction. This study also conducted a regression analysis of regional heterogeneity.…”

Section: Benchmark Regression Of the Environmental Effect Of The Digital Economymentioning

confidence: 87%

Digital Economy and Environmental Quality: Evidence from 217 Cities in China

Wen

2021

Sustainability

119

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With the rapid development of the digital economy, understanding the relationship between the digital economy and the environment is increasingly important for sustainable development. This study mainly studies the nexus of digital economy development and environmental quality for 217 cities in China from 2003 to 2018. Specifically, this study first evaluates the degree of coupling coordination between the digital economy system and the environmental system. Results show that the coupling coordination degree between the digital economy system and the environmental system shows a fluctuating rise from 2003 to 2018. Furthermore, this study empirically investigates the impact of digital economy development on PM2.5, which represents environmental quality, and results show that digital economy development significantly reduces PM2.5. The above finding is still valid by using the quasi-natural experiment of broadband China for the robustness test. Urbanization, population density, and economic development have caused threshold effects. When the urbanization rate and population density exceed a certain threshold, the digital economy significantly inhibits PM2.5. In contrast, when the per capita GDP exceeds a certain threshold, the digital economy significantly promotes PM2.5. The digital economy mainly affects pollutant emissions through direct and technological effects.

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“…Data envelopment analysis is currently one of the most important methods for efficiency estimation, especially the combination of the Malmquist index and data envelopment analysis, which can be employed to estimate the total factor productivity (TFP) (Hidayati et al 2017 ; Malmquist 1953 ; Wu et al 2021 ). However, under the condition of a constant input, the total factor productivity obtained by combining the Malmquist index and the output-oriented directional distance function has a large deviation, and it is impossible to consider the bad output in economic operations, such as environmental pollution (Chambers et al 1996 ; Mandal 2010 ).…”

Section: Methodsmentioning

confidence: 99%

The impact of urban land misallocation on inclusive green growth efficiency: evidence from China

2021

Environ Sci Pollut Res

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Inclusive green growth (IGG), as a new way to attain sustainable development, aims to achieve comprehensive and coordinated economic, social, and environmental development. How to define IGG and explore its driving factors is key to realizing IGG. This study takes China as an example, using panel data from 30 provinces in Mainland China from 2009 to 2018 for research. The epsilon-based measure (EBM) model and Global Malmquist–Luenberger (GML) index are used to evaluate China’s IGG, and a spatial panel regression model of the impact of urban land resource misallocation on IGG is established. The research found that (1) China’s IGG level from 2009 to 2018 displayed an upward trend, and combined with exploratory spatial data analysis (ESDA), it was found that IGG has an obvious spatial correlation; (2) the regression model shows that the misallocation of land resources hinders the improvement of IGG in China; and (3) the decomposition of spatial spillover effects demonstrates that the misallocation of land resources has negative externalities, which will also have adverse effects on neighboring areas.

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Does internet development improve green total factor energy efficiency? Evidence from China

Cited by 407 publications

References 58 publications

Energy structure, digital economy, and carbon emissions: evidence from China

Energy structure, digital economy, and carbon emissions: evidence from China

Digital Economy and Environmental Quality: Evidence from 217 Cities in China

The impact of urban land misallocation on inclusive green growth efficiency: evidence from China

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