Evidence map›Paper›PMID 32519108›Full record

ArticleEnvironmental science and pollution research international2020

Spatio-temporal characteristics of the relationship between carbon emissions and economic growth in China's transportation industry.

Li Wang, Jie Fan, Jiaoyue Wang, Yanfei Zhao, Zhen Li, Rui Guo

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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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Research on the Carbon Credit Exchange Strategy for Scrap Vehicles Based on Evolutionary Game Theory.International journal of environmental research and public health · 2023
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Regional inequality of total factor COEnvironmental science and pollution research international · 2022
    Article
4 · The record

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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.

Li WangInstitutes of Science and Development, Chinese Academy of Sciences, Beijing, 100190, People's Republic of China.
Jie FanInstitutes of Science and Development, Chinese Academy of Sciences, Beijing, 100190, People's Republic of China. fanj@igsnrr.ac.cn.
Jiaoyue WangInstitute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, People's Republic of China.
Yanfei ZhaoInstitutes of Science and Development, Chinese Academy of Sciences, Beijing, 100190, People's Republic of China.
Zhen LiUniversity of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China.
Rui GuoInstitutes of Science and Development, Chinese Academy of Sciences, Beijing, 100190, People's Republic of China.

Funding

Key Programme 41630644
6 · The paper itself

Abstract

The economic and social development of a country rely heavily on transportation. In China, it has become the third largest energy consumption sector and generates substantial amounts of carbon emissions. In the present study, direct and indirect carbon emissions from the transportation industry throughout China's 30 provinces during 1997-2017 were calculated. Further, to reveal the spatio-temporal characteristics of the relationship between carbon emissions and economic growth, the standard deviational ellipse and Tapio decoupling method were employed. The main results are as follows. (1) The total carbon emissions from the transportation industry increased from 132.79 million tons (Mt) in 1997 to 849.64 Mt in 2017, with an average annual growth rate of 9.72%; direct carbon emissions accounted for approximately 86% of the total. (2) Carbon emissions as well as the added value of the transportation industry had the same spatial distribution characteristics, presenting a northeast-southwest pattern during 1997-2017. Although their spatial distribution patterns were mainly in the north-south direction, the development in the east-west direction became increasingly obvious. (3) The decoupling index in the transportation industry was greater than 0.8 for most years, with an expansive negative decoupling state or an expansive coupling state. The differences in carbon emissions and economic growth between various provinces showed a spatio-temporal disparity of the decoupling states in the transportation industry. The obtained results are of considerable interest for China's policymakers to set more reasonable carbon emission reduction goals and implement targeted policies according to the carbon emission situation at a local scale.

Indexed as

Economic DevelopmentCarbonCarbon DioxideChinaTransportationCarbonCarbon DioxideCarbon emissionsStandard deviational ellipseTapio decoupling analysisTransportation industry

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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.