Evidence map›Paper›PMID 32932516›Full record

SynthesisPloS one2020

Building a green Belt and Road: A systematic review and comparative assessment of the Chinese and English-language literature.

Hoong Chen Teo, Ahimsa Campos-Arceiz, Binbin V Li, Mingquan Wu, Alex Mark Lechner

Abstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Growth of non-English-language literature on biodiversity conservation.Conservation biology : the journal of the Society for Conservation Biology · 2022
    Article
  5. 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

5 authors.

Hoong Chen TeoSchool of Environmental and Geographical Sciences, University of Nottingham Malaysia, Semenyih, Selangor, Malaysia.ORCID 0000-0003-0127-978X
Ahimsa Campos-ArceizSchool of Environmental and Geographical Sciences, University of Nottingham Malaysia, Semenyih, Selangor, Malaysia.ORCID 0000-0002-4657-4216
Binbin V LiEnvironmental Research Center, Duke Kunshan University, Kunshan, Jiangsu, China.
Mingquan WuState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Alex Mark LechnerSchool of Environmental and Geographical Sciences, University of Nottingham Malaysia, Semenyih, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

International attention on the environmental impacts of China's Belt and Road Initiative (BRI) is increasing, but little is known internationally about the large corpus of Chinese BRI environmental research. We present the first systematic review of the Chinese and English-language BRI environmental research, supported with text mining and sentiment analysis. We found that the research is dominated by Chinese authors writing about BRI routes within China in Chinese, even though concerns around BRI are largely about impacts and benefits within host countries, and the volume of publications in English is recently catching up. Different disciplines and methods are well-represented across languages, apart from specific types of Chinese social science papers. The sentiments of academic research are largely neutral and less polarised than media discourse. We recommend that scientists and practitioners should pay more attention to BRI environmental impacts in developing countries and proactively engage local voices.

Indexed as

LanguageChinaGovernment ProgramsHumansInformation DisseminationLinguistics

Identifiers

PMID32932516
PMCPMC7492099

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.