scholarly journals Research on the Construction of Cultural Industry Competitiveness Index System Based on Index Loop Method

2019 ◽  
Author(s):  
Jiaming Wang
Keyword(s):  
Index System ◽  
Cultural Industry ◽  
Loop Method ◽  
Competitiveness Index ◽  
Industry Competitiveness

The Application of Factor Analysis in the Study on Cultural Industry Competitiveness Evaluation Index System

2014 ◽  
Vol 989-994 ◽  
pp. 5132-5135
Author(s):  
Ping Sun
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Index System ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Final Evaluation ◽  
Evaluation Index ◽  
Cultural Industry ◽  
Spss Software ◽  
Industry Competitiveness

Based on the premise of an existing condition data, using factor analysis methods to build a cultural industry competitiveness evaluation index system and evaluation model, the corresponding indicators in the model will be evaluated at the final evaluation results. Statistical analysis using SPSS software, score differences in various parts of, analyses the major gaps.

scholarly journals Energy Efficiency and Carbon Emission Impact on Competitiveness in the European Energy Intensive Industries

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4700
Author(s):  
Andrius Zuoza ◽  
Vaida Pilinkienė
Keyword(s):  
Energy Efficiency ◽  
Carbon Emission ◽  
Energy Intensity ◽  
Export Performance ◽  
Positive Energy ◽  
Energy Prices ◽  
Competitiveness Index ◽  
Industry Competitiveness ◽  
Index Value ◽  
Energy Intensive Industries

Climate change and efforts to mitigate it have given rise to an interest in the relationship between industry competitiveness, energy efficiency, and carbon emissions. A better understanding of this relationship can be essential for economic and environmental decision-makers. This paper presents empirical research evaluating industry competitiveness through the factors of energy efficiency and carbon emission in Europe’s most energy-intensive industries. The designed industry competitiveness measure index consists of seven components, grouped into three equally weighted sub-indexes: export performance, energy, and environmental. The export performance of the industry is described by the industry export growth rate, the share of the industry’s export, and the effects on the industry’s competitiveness of changes in a country’s export. The energy intensity of the industry and energy prices are integrated into the energy sub-index. The environmental sub-index consists of the industry’s emissions intensity, and the ratio of freely allocated allowances and verified emissions indicators. The findings indicate that countries with the highest index value also have a positive energy intensity and carbon emission indicator value. The average index value of each industry gradually reduces to zero, and the standard deviation of the index value shows a diminishing trend throughout all sectors, which implies that competitiveness in all sectors is increasing and that all countries are nearing the industry average. The ANOVA results show that: (1) the competitiveness index value was statistically significantly different in the investigated countries; (2) the competitiveness index value was statistically non-significantly different in the investigated industries; (3) there was a significant effect of the interaction between country and industry on the competitiveness index value. These results suggest that the country itself and industry/country interaction significantly affect the competitiveness index. However, it should be mentioned that industry per se does not substantially affect the competitiveness index score.

The Appraisal Model on the Competitiveness of City Exhibition Industry

2011 ◽  
Vol 187 ◽  
pp. 663-666
Author(s):  
Ying Sheng Su ◽  
Peng Fei Ji
Keyword(s):  
Index System ◽  
Status Quo ◽  
Economic Aspects ◽  
Comprehensive Index ◽  
Industry Competitiveness ◽  
The City ◽  
Exhibition Industry ◽  
Complicated Task

The competitiveness of exhibition industry, in which meeting, conference and exhibition carried out orderly and has a close bearing on socio-economic aspects, reflects the city comprehensive competitiveness. It is a complicated task to appraise city exhibition industry competitiveness. This paper, according to the industry status quo and literatures, analysis the appraisal factors of city exhibition industry, brings forward an appraisal model and proposes a comprehensive index system for city competitiveness of exhibition industry.

Study on Evaluation of the Airlines' Competitiveness with Applications in China

2012 ◽  
Vol 459 ◽  
pp. 165-169
Author(s):  
Xiao Jin Li ◽  
Qian Si ◽  
Jian Deng
Keyword(s):  
United States ◽  
Index System ◽  
Element Model ◽  
Developed Countries ◽  
Advantages And Disadvantages ◽  
Competitiveness Index ◽  
Major Airlines ◽  
Matter Element Model

This paper builds a competitiveness index system for airlines, utilize the thought way of Extenics and AHP, apply matter-element model into the competitiveness of airlines and conduct evaluation and analysis on the competitiveness level of sixteen domestic and foreign airlines which are relatively good. This approach reflects the competitive rating, advantages and disadvantages of airlines’ competitiveness within the evaluation range. Through the evaluation analysis, this paper shows that the competitiveness level of China's four major airlines is in a middle place compared with the competitive level of United States, Europe and other developed countries and needs to be further enhanced through improving management and other measures

scholarly journals Grey Correlation Analysis of Economic Growth and Cultural Industry Competitiveness

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jian Li
Keyword(s):  
Economic Growth ◽  
Great Influence ◽  
Economic Benefits ◽  
Influential Factors ◽  
Cultural Industry ◽  
Grey Relational Degree ◽  
Relational Degree ◽  
Industry Competitiveness ◽  
Grey Relational ◽  
The Impact

The influence of cultural industry competitiveness on economic growth is analyzed by using grey relational degree method. Then, the influence of cultural industry on the three industries is analyzed and compared in the same way. On this basis, further from the cultural industry, the impacts of core layer, outer layer, and related layer on economic growth were compared and analyzed. Finally, the economic growth model is used to measure the impact of investment, labor, and innovation in cultural industry on economic growth. The results show that cultural industry has a great influence on economic growth. The cultural industry has an obvious driving effect on the tertiary industry. The correlative layer of cultural industry has the greatest influence on economic growth. Cultural industry innovation has a huge pulling effect on economic growth. The SPSS software was used to process the data, and the data indicators were screened. Finally, the grey relational degree model was constructed. Then, the improved diamond model was used to select the influential factors of the development of cultural industry, and the main influencing factors were found out through the grey relational degree analysis. This paper analyzes the factors affecting economic benefits and puts forward countermeasures. The results show that it is of great significance to pay attention to the development of cultural manufacturing industry in cultural industry and promote cultural innovation to promote economic growth.

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