Evidence map›Paper›PMID 34574594›Full record

ArticleInternational journal of environmental research and public health2021

Testing the Environmental Kuznets Curve Hypotheses in Chinese Provinces: A Nexus between Regional Government Expenditures and Environmental Quality.

Ayoub Zeraibi, Daniel Balsalobre-Lorente, Khurram Shehzad

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?International journal of environmental research and public health · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Prediction and Trend Analysis of Regional Industrial Carbon Emission in China: A Study of Nanjing City.International journal of environmental research and public health · 2022
    Article
  8. Impact of globalization on COEnvironmental science and pollution research international · 2022
    Article
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

3 authors.

Ayoub ZeraibiSchool of Economics and Finance, Xi'an Jiaotong University, Xi'an 710049, China.
Daniel Balsalobre-LorenteDepartment of Political Economy and Public Finance, Economic and Business Statistics and Economic Policy, University of Castilla-La Mancha, 13001 Ciudad Real, Spain.ORCID 0000-0002-6099-7899
Khurram ShehzadSchool of Economics and Management, Southeast University, Nanjing 211189, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With rapid economic growth, the Chinese government expenditures at various levels have increased adequately. At the same time, the environmental quality in China has deteriorated significantly. In this study, provincial-level data for 31 Chinese provinces during 2007-2017 are used to investigate the impacts of government expenditure on the emissions of three specific measures of environmental degradation. The main objective of this study is to examine the influence of government expenditures, economic growth per capita, environment protection expenditure, and added second-sector value on environmental quality by measuring sulfur dioxide (SO

Indexed as

Carbon DioxideHealth ExpendituresChinaEconomic DevelopmentEnvironmental PollutionLocal GovernmentCarbon DioxideChinaenvironment’s sustainabilitygovernment spendingN-shapedorthogonal–GMM

Identifiers

PMID34574594
PMCPMC8466972

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.