Evidence map›Paper›PMID 33203168›Full record

ArticleInternational journal of environmental research and public health2020

Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China.

Xiaohong Jiang, Jianxiao Ma, Huizhe Zhu, Xiucheng Guo, Zhaoguo Huang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Emission Estimation of On-Demand Meal Delivery Services Using a Macroscopic Simulation.International journal of environmental research and public health · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Sensitivity Analysis of Emission Models of Parcel Lockers vs. Home Delivery Based on HBEFA.International journal of environmental research and public health · 2021
    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.

Xiaohong JiangCollege of Automobile and Traffic Engineering, Nanjing Forestry University, Longpan Road 159#, Nanjing 210037, China.ORCID 0000-0001-5496-1112
Jianxiao MaCollege of Automobile and Traffic Engineering, Nanjing Forestry University, Longpan Road 159#, Nanjing 210037, China.
Huizhe ZhuCollege of Automobile and Traffic Engineering, Nanjing Forestry University, Longpan Road 159#, Nanjing 210037, China.
Xiucheng GuoSchool of Transportation, Southeast University, Si Pai Lou 2#, Nanjing 210096, China.
Zhaoguo HuangSchool of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China.ORCID 0000-0002-9121-7234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon emissions from the logistics industry have been rising year after year. Correct handling of the relationship between economic development and environmental protection is of great significance to the implementation of green logistics, which is an important component of China's strategy for strong transportation. This paper focuses on the evaluation of the carbon emissions efficiency of logistics industry from a new strong transportation strategy perspective. A super-efficiency slack-based measurement (Super-SBM) model and Malmquist index are combined to evaluate the static and dynamic carbon emissions efficiency of the logistics industry. The results indicate that compared with the SBM model, the Super-SBM model can more effectively measure the carbon emissions efficiency of the logistics industry. Pilot regions for the strong transportation strategy were divided into two categories, namely regions with slow carbon emission growth rates but high efficiency, and regions with high carbon emission growth rates but low efficiency. Some policy recommendations from the strong transportation strategy perspective were proposed to improve the carbon emissions efficiency of the logistics industry, especially for the second category of pilot regions. This study is expected to provide a basis for decision-making for efficient emissions reduction measures and policies, and to encourage the pilot regions to take the lead in achieving the goal of China's strategy for transportation.

Indexed as

CarbonIndustryChinaEconomic DevelopmentTransportationCarboncarbon emissionsdynamic efficiencylogistics industryMalmquist indexstatic efficiencysuper-slacks-based measuring model

Identifiers

PMID33203168
PMCPMC7696901

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Registered trials

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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.