ArticleEnvironmental science and pollution research international2019
The effect of information technology on environmental pollution in China.
Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Study of Sustainability and Health-Related Living Environment Factors Under the Background of Rural Revitalization in the Towns of Guzhen County.Scientifica · 2024Article
- Article
- Intelligent Manufacturing and Carbon Emissions Reduction: Evidence from the Use of Industrial Robots in China.International journal of environmental research and public health · 2022Article
- Water pollution incidents and their influencing factors in China during the past 20 years.Environmental monitoring and assessment · 2022Article
- Analysis of the mechanism of the impact of internet development on green economic growth: evidence from 269 prefecture cities in China.Environmental science and pollution research international · 2022Article
- New insight into examining the role of financial development in economic growth effect on a composite environmental quality index.Environmental science and pollution research international · 2021Article
- Investigating marginal effect of economic growth on environmental quality based on six environmental indicators: does financial development have a determinative role in strengthening or weakening this effect?Environmental science and pollution research international · 2021Article
- The effectiveness and heterogeneity of carbon emissions trading scheme in China.Environmental science and pollution research international · 2021Article
- Does Internet use reduce chemical fertilizer use? Evidence from rural households in China.Environmental science and pollution research international · 2021Article
- Urban carbon emission intensity under emission trading system in a developing economy: evidence from 273 Chinese cities.Environmental science and pollution research international · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Environmental pollution has become a common topic in the world. The existing literature rarely studies the relationship between information technology and environmental pollution from a spatial perspective. This paper uses spatial econometric models and the panel data of 285 cities in China from 2003 to 2016 to study the effect of information technology on environmental pollution. The results of spatial auto-correlation analysis show that there is a significant positive spatial auto-correlation between information technology and environmental pollution, and the spatial path dependence characteristics are obvious. The estimation results of the spatial econometric models show that information technology has significantly aggravated environmental pollution, and the rebound effect of information technology on environmental pollution has played a leading role, indicating that the policy effect of China using information technology to improve the environment quality is not obvious.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.