Evidence map›Paper›PMID 34817818›Full record

ArticleEnvironmental science and pollution research international2022

Analysis of influencing factors of carbon emissions in resource-based cities in the Yellow River basin under carbon neutrality target.

Xiumei Sun, Haotian Zhang, Mahmood Ahmad, Chaokai Xue

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Do Environmental Regulations Facilitate a Low-Carbon Transformation in China's Resource-Based Cities?International journal of environmental research and public health · 2023
    Article
  5. Article
  6. How to Evaluate the Level of Green Development Based on Entropy Weight TOPSIS: Evidence from China.International journal of environmental research and public health · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

4 authors.

Xiumei SunBusiness School, Shandong University of Technology, Zibo, 255000, China.
Haotian ZhangBusiness School, Shandong University of Technology, Zibo, 255000, China.
Mahmood AhmadBusiness School, Shandong University of Technology, Zibo, 255000, China. mahmood@sdut.edu.cn.
Chaokai XueBusiness School, Shandong University of Technology, Zibo, 255000, China. xuechaokai@sdut.edu.cn.

Funding

National Office for Philosophy and Social Sciences 19BGL276
6 · The paper itself

Abstract

In 2020, China promised to achieve carbon peaking by 2030 and carbon neutrality by 2060, and these targets are famous as "Goal 3060" in China. Chinese resource-based cities are concerned about the realization of Goal 3060 to practice national action against environmental change. In this paper, this study evaluates the impact of population, economic growth, energy intensity, industrial structure, fixed asset investment, and urbanization level on carbon emissions in Chinese cities. To do so, the paper divides 36 Chinese cities into four types (growing city, mature city, recessionary city, and regenerative city) from 2003 to 2017 by factor investigation according to the diverse development stages. The extended STIRPAT model is used to assess the impact of various factors on CO

Indexed as

CarbonRiversCarbon DioxideChinaCitiesEconomic DevelopmentCarbonCarbon DioxideCarbon neutralityLow-carbon transitionResource-based citiesSTIRPAT model

Identifiers

What OpenQuestion holds

Textmetadata
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.