Factor analysis and recommendations policies on sustainable development of energy for Hebei province

2014 ◽  
Author(s):  
H. Cui ◽  
Y. Liu
Keyword(s):  
Sustainable Development ◽  
Factor Analysis ◽  
Hebei Province

Analyzing the Sustainability of Water-Cultural Industry and Their Influencing Factors in China

2021 ◽  
Author(s):  
Shubing Qiu ◽  
Yong Liu ◽  
Yang Ye
Keyword(s):  
Sustainable Development ◽  
Factor Analysis ◽  
Influencing Factors ◽  
Indicator System ◽  
Cultural Industry ◽  
The Sustainable Development ◽  
Relational Analysis ◽  
Analysis Theory ◽  
Cultural Ideology ◽  
Grey Relational

This study is an empirical analysis of China’s “sustainable development ability of water cultural industry” based on the attributes of water cultural industry (economic attribute and cultural ideology). First, using “factor analysis” and “grey relational analysis theory,” establish an indicator-system for the level of sustainable development of the cultural industry, then quantify the relationships between the water cultural industry and its influencing factors, and finally, propose some solutions for enhancing the sustainable development of the water cultural industry from the perspective of “improving resiliency.”

Assessment of investment attractiveness for regional sustainable development using methods of economic, statistical and factor analysis

2021 ◽  
pp. 65-81
Author(s):  
Svetlana L. Lozhkina ◽  
Alexander A. Novikov ◽  
Elena A. Chepkasova ◽  
Elena V. Novikova
Keyword(s):  
Sustainable Development ◽  
Factor Analysis ◽  
Information And Communication Technologies ◽  
Descriptive Analysis ◽  
Communication Technologies ◽  
Financial Resources ◽  
Human Society ◽  
Fundamental Goal ◽  
Information And Communication ◽  
Regional Sustainable Development

The modern stage of civilizational processes puts forward "sustainable development" as the fundamental goal, considering this the most important vector of promising transformations of human society. This stage of globalization development reveals the need to make the above processes not spontaneous, but controlled, which can be implemented, inter alia, through a qualitative transformation of tools and technologies used to monitor and predict the development of individual territories. The article presents a methodology for a comprehensive assessment of the investment attractiveness of a region using methods of integrated statistical assessment, including methods of descriptive analysis, and using the method of factor analysis. This method allows monitoring the level of development of information and communication technologies in the region as a whole, as well as in the context of individual types of economic activity in order to determine the main points of bifurcation for the concentration of financial resources in the development of ICT and increase the investment potential of the region as a whole.

scholarly journals The Students’ Survey of Education for Sustainable Development Competencies: A Comparison Among Faculties

2012 ◽  
Vol 3 (1) ◽  
pp. 75-82 ◽  
Author(s):  
Michele Biasutti ◽  
Alessio Surian
Keyword(s):  
Social Sciences ◽  
Applied Sciences ◽  
Sustainable Development ◽  
Factor Analysis ◽  
Analysis Data ◽  
Education For Sustainable Development ◽  
Health Sciences ◽  
Student Survey ◽  
Educational Sciences ◽  
University Curricula

Abstract The paper reports research employing a quantitative approach to investigating the competences of university students about educating for sustainable development (ESD). Participants were 467 bachelor students of the following five areas: social sciences, educational sciences, applied sciences, engineering and health sciences. The Student Survey of Education for Sustainable Development Competencies was employed. Internal consistency and factor structure of this questionnaire were investigated by assessing Cronbach’s alphas and by performing exploratory factor analysis. Data were subjected to ANOVA for comparing the students of the five faculties. The relevance of factors and the differences between students of different areas were discussed considering also how to infuse ESD principles in university curricula. The aim is reorienting university study programmes in various faculties to prepare students about sustainable development issues.

Research on Sustainable Development Strategies of the Agriculture

2013 ◽  
Vol 380-384 ◽  
pp. 4570-4573
Author(s):  
Yan Na Zhao ◽  
Yu Qiang Sun
Keyword(s):  
Sustainable Development ◽  
Agricultural Production ◽  
Development Strategies ◽  
Hebei Province ◽  
The Other ◽  
The Sustainable Development

This paper introduces the Changes in agricultural production of Hebei Province from 1949 to 2011,firstly.Then We analyzed the factors that influence the sustainable development of Agriculture.Finally, we put forward some development proposals.We hope to have reference to the other provinces of the sustainable development of agriculture .

scholarly journals Modeling the regional agro-elite’s social position in rural areas’ sustainable development system

2021 ◽  
Vol 258 ◽  
pp. 05029
Author(s):  
Tamara Bulygina ◽  
Evgeniy Tufanov ◽  
Sergei Yanush ◽  
Inna Kravchenko ◽  
Valentine Ivashova
Keyword(s):  
Sustainable Development ◽  
Factor Analysis ◽  
Rural Areas ◽  
Sustainable Development Goals ◽  
Social Position ◽  
The Sustainable Development ◽  
The Social ◽  
Development Goals ◽  
Agricultural Organizations ◽  
Main Components

The article concretizes the social position of the regional agrarian elite in the system of sustainable development of rural areas on the basis of factor analysis carried out by the method of principal components. A survey of 73 leaders and chief specialists of successful agricultural organizations in the South of Russia, traditionally represented by rural areas, was carried out in October-November, 2020 using Google Forms. The data was processed in SPSS Statistics (version 21) and used the Sustainable Development Goals proclaimed by the UN in 2015 as the 2030 Agenda for Sustainable Development. Seventeen Sustainable Development Goals were assessed on a five-point scale of significance in terms of relevance for agricultural organizations in rural areas of southern Russia. The assessments show the social position of the regional agrarian elite regarding the goal-setting in the field of sustainable development, both in rural areas and agricultural organizations. Factor analysis was carried out by the method of separation of the main components with Varimax Rotation with Kaiser Normalization. We present the models of the regional agrarian elite’s social position in the system of sustainable development of territories.

scholarly journals Application of Financial Cloud in the Sustainable Development of Smart Cities

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Yangchun Cao ◽  
Guangyu Zhang ◽  
Chunyao Ou
Keyword(s):  
Sustainable Development ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Structural Equation ◽  
Comprehensive Evaluation ◽  
Smart Cities ◽  
Evaluation Model ◽  
Common Factor ◽  
The Sustainable Development ◽  
Evaluation Score

This article first investigates the status of financial cloud development in smart cities and studies the sustainable development of smart cities. Secondly, it investigates the construction of the evaluation model, using the power of the financial cloud, through exploratory factor analysis, selecting the principal component analysis method to extract the factors, for screening and dimensionality reduction of the indicators, and making hypotheses. We used confirmatory factor analysis to establish the structural equation. The measurement model analyzes and validates the assumptions of the previous stage and finally determines the sustainable development evaluation index system. Then, starting from the scoring coefficient matrix of the exploratory factor analysis of the final model, the variance contribution rate of each common factor is weighted to construct a comprehensive evaluation model to calculate the comprehensive evaluation score. For the comprehensive evaluation score of the sustainable development level of the smart city, SPSS software performs cluster analysis, performs regional clustering, and determines the level of urban development. Finally, by comparing the sustainable development levels of smart cities, the related causes of the gaps are analyzed. Key factors affecting the sustainable development of smart cities are identified, and corresponding countermeasures are proposed.

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