Evidence map›Paper›PMID 33559077›Full record

ArticleEnvironmental science and pollution research international2021

Top-runner incentive scheme in China: a theoretical and empirical study for industrial pollution control.

Dunhu Chang, Donghui Gao, Xiangbo Xu, Xin Wang, Ying Ju, Xiaoyue Shen

Abstract read
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In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dunhu ChangSchool of Environment and Natural Resources, Renmin University of China, Beijing, 100872, China.
Donghui GaoSchool of Environment and Natural Resources, Renmin University of China, Beijing, 100872, China.
Xiangbo XuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. ydxu.ccap@igsnrr.ac.cn.
Xin WangChina National Environmental Monitoring Centre, Ministry of Ecology and Environment, Beijing, 100012, China.
Ying JuSchool of Environment and Natural Resources, Renmin University of China, Beijing, 100872, China.
Xiaoyue ShenPolicy Research Center for Environment and Economy, Ministry of Ecology and Environment, Beijing, 100029, China.

Funding

the Research Funds of Renmin University of China Project No. 17XNB025
6 · The paper itself

Abstract

Pollution control policies have achieved remarkable results in China. However, industrial firms still lack enthusiasm for technological innovation to reduce pollution and endogenous motivation for controlling pollution, which pose severe obstacles to industrial pollution control. The top-runner scheme can stimulate the pollution control behaviors of firms to a certain extent. Therefore, the top-runner scheme is combined with economic incentive policies to design an appropriate incentive scheme in this paper, theoretical research is conducted on the selection standards and incentive methods, and four industries mainly responsible for pollution in a developed province of China are investigated as case studies. The results show that (1) the selection standard that stipulates the rewarded quotas instead of the discharge amount achieved higher emission reduction efficiency; (2) tax cuts are the best incentive for top-runners, and (3) the top-runner incentive scheme achieves a greater reduction effect in high-pollution industries than low-pollution industries. Value-added tax exemption for the top-runner, as determined by the rewarded quotas, contributes to increasing the enthusiasm from firms to participate in and improve pollution control measures.

Indexed as

Environmental PollutionMotivationChinaIndustryInventionsEconomic incentive policyEnvironmental performanceIncentive methodPollution controlSelection standardTop-runner

Identifiers

PMID33559077

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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.