scholarly journals Evaluation of the Sustainable Development Competitiveness of Social Economy in Yunnan Province Based on Global Principal Component Analysis

2018 ◽  
Vol 08 (02) ◽  
pp. 85-93
Author(s):  
玉莲 莫
2013 ◽  
Vol 869-870 ◽  
pp. 1128-1132
Author(s):  
Yu Chen Song ◽  
Wei He ◽  
Xiao Bing Li ◽  
Yan Han

Based on the resource-based cities, we could establish a comprehensive evaluation index system. Principal component analysis (PCA) model is perfect to such evaluation. It can eliminate the related influence between evaluation indexes and reduce the workload of evaluation. The paper applied the principal component analysis to Baotou city and other 5 western resource-based cities so as to make a comprehensive evaluation about sustainable development ability. The results show that the sustainable development ability of Baotou city from2003 to 2012 is a fluctuated improving trend. And it ranks fourth in the selected western resource-based cities. The issue about the way to improve the sustainable development ability of resource-based cities is discussed in this paper.


2013 ◽  
Vol 726-731 ◽  
pp. 3976-3980
Author(s):  
Chuan Kui Liu ◽  
You Yuan Wang

It is a very important problem that economic and environmental coordinated development in PLEEZ. This paper found economic and environmental systems, a quantitative method was proposed which systemic coordinated evaluation based on the principal component analysis and system index of sustainable development for PLEEZ, the conclusions provide a useful reference to economic development and environmental protection coordination of PLEEZ.


2021 ◽  
Author(s):  
Guilherme Souza ◽  
Julian Santos ◽  
Gabriel SantClair ◽  
Janaina Gomide ◽  
Luan Santos

The Sustainable Development Goals (SDGs) are part of a global effort to reduce the impacts of climate change, promoting social justice and economic growth. The United Nations provides a database with hundreds of indicators to track the SDGs since 2016 for a total of 302 regions. This work aims to assess which countries are in a similar situation regarding sustainable development. Principal Component Analysis was used to reduce the dimension of the dataset and k-means algorithm was used to cluster countries according to their SDGs indicators. For the years of 2016, 2017 and 2018 were obtained 11, 13 and 11 groups, respectively. This paper also analyses clusters changes throughout the years.


2013 ◽  
Vol 291-294 ◽  
pp. 1605-1609
Author(s):  
Wen Yan Guo ◽  
Li Ma ◽  
Qiong Wang ◽  
Xiao Liu Shen

This paper studies the coordinated development of Beijing's population, resources, environment, economic and society. With the rapid development of the city, Beijing’s population, society and economic is getting more and more contradictive against its resources and environment, under which circumstance a scientific study on the coordinated development is urgently required. This essay is based on the data of last 10 years of Beijing, and formulates a PREES model of the PREES model in Beijing. This study uses the method of principal component analysis via SPSS, establishes the coordination degree evaluation system of Beijing’s population, resources, environment, economic and society, and runs an empirical analysis afterward. This essay calculates the coordination degree of Beijing’s population, resources, environment, economic and society, analyzes and studies the main issues in Beijing’s coordinated development, and gives relative suggestions.


2021 ◽  
Vol 91 ◽  
pp. 01035
Author(s):  
Valerii Matskul ◽  
Anatoliy Kovalyov ◽  
Valentyn Chernyshev ◽  
Diana Okara

The article examines the level of sustainable development of the travel business in the Odessa region of Ukraine. This level is evaluated as a latent indicator, which is characterized by a certain set of signs-symptoms. The methodology used for modeling is Partial Least Squares-Path Modelling (or PLS-PM) and the method Time-Wise Multi-Way Principal Component Analysis. This approach allowed us to identify and evaluate latent and explicit factors affecting the sustainable development of travel business in the Odessa region.


Sign in / Sign up

Export Citation Format

Share Document