ArticleEnvironmental science and pollution research international2020
Can technology R&D continuously improve green development level in the open economy? Empirical evidence from China's industrial sector.
Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Research on the coordination characteristics and interaction between the innovation-driven development and green development of the Yangtze River Economic Belt in China.Environmental science and pollution research international · 2022Article
- Mechanism for Green Development Behavior and Performance of Industrial Enterprises (GDBP-IE) Using Partial Least Squares Structural Equation Modeling (PLS-SEM).International journal of environmental research and public health · 2020Article
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
Applying a global DEA model based on non-radial directional distance function, this paper constructs a comprehensive efficiency index to estimate green development level and further identifies the influencing mechanism of technology R&D on green development in China's industrial sector. The results demonstrate that the level of green development in China's industrial sector declined year by year and the average was 0.27, and it also shows significant regional characteristics within the sample period. Besides, the environment pollution transferred from the east to the central and the west. In addition, the results also indicate that there is a threshold effect for the impact of technology R&D on China's industrial green development. Based on the volume of the trade openness, this effect presents a "N"-type characteristic that tilts to the right. According to the research results, the corresponding policy recommendations are put forward, which may be of great importance to improve the green development level in China's industrial sector.
Indexed as
Identifiers
32557056What OpenQuestion holds
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.