ArticleInternational journal of environmental research and public health2020
Assessing the Effect of the Chinese River Chief Policy for Water Pollution Control under Uncertainty-Using Chaohu Lake as a Case.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Water Pollution Assessment and Community Perception of Major Rivers in Ghana.Environmental health insights · 2026Article
- Can River Chief System Policy Improve Enterprises' Energy Efficiency? Evidence from China.International journal of environmental research and public health · 2023Article
- Impact of China's water pollution on agricultural economic growth: an empirical analysis based on a dynamic spatial panel lag model.Environmental science and pollution research international · 2021Article
- Analysis of Tradable Water Volumes of Industry in Water-Rich Areas of China: A Case Study of Changsha City.International journal of environmental research and public health · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The River Chief Policy (RCP) is an innovative water resource management system in China aimed at managing water pollution and improving water quality. Though the RCP has been piloted in some river basins of China, few scholars have studied the effects of the policy. We built a differential game model under random interference factors to compare the water pollution in Chaohu Lake under the RCP and without the RCP, and we explored the conditions to ensure the effectiveness of the RCP. The results showed that: (1) The average effect of water pollution control under the RCP was greater than under non-RCP; (2) the higher the rewarding excellence and punishing inferiority coefficient ( θ ) was, the better the water pollution control effect under the RCP; (3) the greater the random interference coefficient ( σ ) and rewarding excellence and punishing inferiority coefficient ( θ ) were, the bigger the fluctuation of the water pollution control effect was; (4) when using the stochastic differential game, when σ ≤ 0.0403 , θ ≥ 0.0063 , or σ > 0.0403 , θ ≥ 0.268 , the RCP must be effective for water pollution control. Therefore, we can theoretically adjust the rewarding excellence and punishing inferiority coefficient ( θ ) and the random interference coefficient ( σ ) to ensure the effective implementation of the RCP and achieve the purpose of water pollution control.
Indexed as
Identifiers
What 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.