Evidence map›Paper›PMID 36613056›Full record

ArticleInternational journal of environmental research and public health2022

Green Innovation in Regional Logistics: Level Evaluation and Spatial Analysis.

Hao Zhang, Xin Sun, Kailong Dong, Lianghui Sui, Min Wang, Qiong Hong

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
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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.

Hao ZhangJiangsu Key Laboratory of Traffic and Transportation Security, Huaiyin Institute of Technology, Huai'an 223003, China.
Xin SunSchool of Computer and Software Engineering, Huaiyin Institute of Technology, Huai'an 223003, China.
Kailong DongSchool of Computer and Software Engineering, Huaiyin Institute of Technology, Huai'an 223003, China.
Lianghui SuiSchool of Computer and Software Engineering, Huaiyin Institute of Technology, Huai'an 223003, China.
Min WangSchool of Traffic Engineering, Huaiyin Institute of Technology, Huai'an 223003, China.
Qiong HongBusiness School, Jiangsu Vocational College of Electronics and Information, Huai'an 223003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Green innovation is imperative for the high-quality and sustainable development of the modern logistics industry. It is also key for achieving the goals of peak emissions and carbon neutrality. This study provides a way of thinking about the evaluation of the green innovation level of the logistics industry. The variance inflation factor-variance coefficient method was employed to construct an evaluation index system of the regional logistics green innovation level (RLGIL) from three dimensions. Empirical data were collected from statistical yearbooks covering 30 provinces in China from 2013 to 2017. Thereafter, the combination weighting-based GRA-TOPSIS method was applied to evaluate the RLGIL, and the spatial distribution differences and spatiotemporal evolution characteristics of inter-provincial green innovation levels were analyzed. The RLGILs in the 30 provinces were found to be generally unbalanced, and the differences between the eastern and western regions were significant. Guangdong, Jiangsu, and Zhejiang had stronger RLGILs, whereas most other provinces did not reach the average level. The RLGIL of the 30 provinces had a high positive spatial correlation and spatial aggregating effect. From a national perspective, the values for the RLGIL were generally higher in the eastern and southern regions and lower in the western and northern regions. Although significant differences were found in the RLGIL of these provinces, the overall development trend was stable.

Indexed as

CarbonIndustryChinaEconomic DevelopmentSocial ConditionsSpatial AnalysisCarbongame theoryGRA-TOPSISgreen innovation levelindex systemlogistics industryspatial distribution

Identifiers

PMID36613056
PMCPMC9819665

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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.