How does internet development promote urban green innovation efficiency? Evidence from China

Wang, Keliang; Sun, Ting-Ting; Xu, Ru-Yu; Zhang, Miao; Cheng, Yun-He

doi:10.1016/j.techfore.2022.122017

Cited by 81 publications

(31 citation statements)

References 86 publications

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“…Data-driven economies of scale and the use of energy digital systems can promote the intensive consumption of energy, while the application of digital technologies, the digital platforms of industry-academia-research, and the e-commerce platforms enables enterprises to improve the innovation efficiency at all stages of the innovation value chain, which constitutes a direct impetus to the improvement of industrial green innovation efficiency. This is consistent with the findings of Wang et al (2022) [ 38 ], who suggested that the Internet directly enhances industrial green innovation efficiency by promoting energy intensification and open innovation in the firms. We further deepen and expand his view.…”

Section: Empirical Results and Discussionsupporting

confidence: 93%

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Digital economy, spatial spillover and industrial green innovation efficiency: Empirical evidence from China

Huo

2023

Heliyon

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Section: Empirical Results and Discussionsupporting

confidence: 93%

“…However, the Internet is simply a sub-dimension of the digital economy. His study doesn't reflect how the integrated digital economy affects green innovation efficiency [ 38 ].…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

Digital economy, spatial spillover and industrial green innovation efficiency: Empirical evidence from China

Huo

2023

Heliyon

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“…These cities have more developed economies, concentrating a large amount of labor and capital, which promote the rapid upgrading and development of new industries. The abovementioned characteristics of Internet development are also confirmed by a large number of scholars (Wang et al, 2022a;Yang et al, 2021b).…”

Section: Datamentioning

confidence: 62%

Does Internet development have a spatial fluctuation spillover effect on green total factor productivity in China? A Spatial-SAR-ARCH model

Dong

Wang

Ren

2023

MEQ

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PurposeThe purpose of this study is to examine the spatial fluctuation spillover effect of green total factor productivity (GTFP) under the influence of Internet development.Design/methodology/approachUsing panel data from 283 cities in China for the period 2003–2016, this paper explores the spatial fluctuation spillover effect of internet development on GTFP by applying the spatial autoregressive with autoregressive conditional heteroscedasticity model (SARspARCH).FindingsThe results of Moran's I test of the residual term and the Bayesian information criterion (BIC) value indicate that the GTFP has a spatial fluctuation spillover effect, and the estimated results of the SARspARCH model are more accurate than the spatial autoregressive (SAR) model and the spatial autoregressive conditional heteroscedasticity (spARCH) model. Specifically, the internet development had a positive spatial fluctuation spillover effect on GTFP in 2003, 2011, 2012 and 2014, and the volatility spillover effect weakens the positive spillover effect of internet development on GTFP. Moreover, Internet development has a significant positive spatial fluctuation spillover effect on GTFP averagely in eastern China and internet-based cities.Research limitations/implicationsThe results of this study provide digital solutions for policymakers in improving the level of GTFP in China, with more emphasis on regional synergistic governance to ensure growth.Originality/valueThis paper expands the research ideas for spatial econometric models and provides a more valuable reference for China to achieve green development.

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“…Liu et al (2021) [ 16 ] used China’s new environmental protection law as a quasi-natural experiment to show that stricter environmental regulations induce more GI in enterprises. Scholars have also investigated the external factors influencing GI in terms of external investment [ 17 , 18 ], financial markets [ 19 , 20 , 21 , 22 , 23 ], political factors [ 24 , 25 ], information disclosure [ 26 , 27 ], and Internet development [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

How Does Climate Policy Uncertainty Affect Green Innovation? Evidence from China

Mao

Huang

2022

IJERPH

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In response to climate change, governments have adopted various climate policies. However, climate policy uncertainty (CPU) may have important implications for the business sector. Is enterprise green innovation (GI) affected by CPU? This study investigates the impact of CPU on enterprise GI. The China CPU index is created first in this study. It uses panel data from Chinese A-share listed companies in China from 2010 to 2021 to explore the impact of CPU on GI through the fixed effects model, the mediating effects model, and the moderating effects model. The results show that: (1) CPU significantly suppresses GI, according to the findings. (2) CPU inhibits enterprise GI by exacerbating enterprise financing constraints. (3) Government subsidies can mitigate the inhibiting effect of CPU on GI. (4) There is heterogeneity in the negative impact of CPU on enterprise GI, mainly on non-state-owned enterprises. This study suggests several recommendations for coping with CPU in China.

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How does internet development promote urban green innovation efficiency? Evidence from China

Cited by 81 publications

References 86 publications

Digital economy, spatial spillover and industrial green innovation efficiency: Empirical evidence from China

Digital economy, spatial spillover and industrial green innovation efficiency: Empirical evidence from China

Does Internet development have a spatial fluctuation spillover effect on green total factor productivity in China? A Spatial-SAR-ARCH model

How Does Climate Policy Uncertainty Affect Green Innovation? Evidence from China

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