Evidence map›Paper›PMID 29027982›Full record

ArticleInternational journal of environmental research and public health2017

Regional Sustainable Development Analysis Based on Information Entropy-Sichuan Province as an Example.

Xuedong Liang, Dongyang Si, Xinli Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

4 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Special Issue "Decision Models in Green Growth and Sustainable Development".International journal of environmental research and public health · 2018
    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

3 authors at 1 institution in 1 country.

Xuedong LiangSchool of Economics, Sichuan University, Chengdu 610065, China. liangxuedong@scu.edu.cn.
Dongyang SiThe Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China. 2016225025033@stu.scu.edu.cn.
Xinli ZhangThe Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China. zhangxinli@scu.edu.cn.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the implementation of a scientific development perspective, sustainable development needs to consider regional development, economic and social development, and the harmonious development of society and nature, but regional sustainable development is often difficult to quantify. Through an analysis of the structure and functions of a regional system, this paper establishes an evaluation index system, which includes an economic subsystem, an ecological environmental subsystem and a social subsystem, to study regional sustainable development capacity. A sustainable development capacity measure model for Sichuan Province was established by applying the information entropy calculation principle and the Brusselator principle. Each subsystem and entropy change in a calendar year in Sichuan Province were analyzed to evaluate Sichuan Province's sustainable development capacity. It was found that the established model could effectively show actual changes in sustainable development levels through the entropy change reaction system, at the same time this model could clearly demonstrate how those forty-six indicators from the three subsystems impact on the regional sustainable development, which could make up for the lack of sustainable development research.

Indexed as

Social EnvironmentChinaConservation of Natural ResourcesEcologyEntropyModels, TheoreticalResearchResidence CharacteristicsBrusselator modelcapability measurementevaluation index systeminformation entropyregional sustainable development capacity

Identifiers

PMID29027982
PMCPMC5664720
OpenAlexW2761945133

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.