ArticleEnvironmental science and pollution research international2021
Effects of land urbanization and internet penetration on environmental sustainability: a cross-regional study of China.
Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Spatiotemporal Trends in Mortality Burden from Suicide Associated with Short-Term Exposures to PMEnvironment & health (Washington, D.C.) · 2026Article
- Impact and mechanism of digital economy on China's carbon emissions: from the perspective of spatial heterogeneity.Environmental science and pollution research international · 2023Article
- Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?International journal of environmental research and public health · 2022Article
- Heterogeneous Driving Factors of Carbon Emissions Embedded in China's Export: An Application of the LASSO Model.International journal of environmental research and public health · 2021Article
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Authors and funding
4 authors.
Funding
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Abstract
China has pledged to peak its carbon dioxide emissions (CEM) before 2030 and achieve carbon neutrality before 2060. The energy consumption related to land urbanization (LURB) and internet penetration (INT) may have a significant impact on CEM. It is critical for China to obtain a better understanding of the interaction among them in order to tackle challenges of climate change in the digital era. Initially, the multivariate panel bootstrap Granger causality test is conducted to estimate the causal effects of LURB and INT on CEM in China. The results reveal that the interaction patterns among them varied across different provinces, and particularly LURB and INT are two determinants of CEM mainly in Eastern China, which is consistent with the stochastic differential model. Then, CEM is not a Granger-cause of LURB and INT in the majority of Chinese provinces, as LURB and INT largely depend on government policies and industrial development. In addition, there are no significant interactions between LURB and CEM in over two-thirds of the provinces and there are also none between INT and CEM in over half of the Chinese provinces. Therefore, Chinese policymakers should further adopt differentiated and efficient policies targeting the weak links and achieve environmental sustainability through low carbon transition.
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