Search Results

1 - 3 of 3 items

  • Author: Jitka Kloudová x
Clear All Modify Search
The comparison of methods suitable for the analysis of the creative potential illustrated on the example of Slovakia

Komparace metod využitelných v rámci analýzy kreativního potenciálu na příkladu Slovenské republiky

Open access
Factors Which Influence the Growth of Creative Industries: Cross-section Analysis in China

Factors Which Influence the Growth of Creative Industries: Cross-section Analysis in China

With the more and more important roles of creative economy, its research has become one of the major fields in economic development. The creative economy has the potential to generate income and jobs while promoting social inclusion, cultural diversity and human development. As a developing country, China is also in need of developing the creative economy to adjust the economic structure and realize the sustainable development. In this paper, we examined the factors which influence the growth of creative industries in China through the cross-section analysis of 23 regional data in 2007. Four main factors were examined in this multi-regression model, that is, GDP per capita, the number of higher education institutions, the number of students enrolled in higher education institution and the number of patents.

The statistical analysis found that the model's fit is quite good and 69% of dependent variable (the ratio of value-added of creative industries to the GDP) is explained by the model. Specifically, there are three sub-conclusions. Firstly, there is not a positive relationship between GDP per capita and dependent variable; on the contrary, there is a weak negative relationship in this model. We infer that it is because of the stage of economic development. China heavily depends on the development of the second industry in the process of industrializing. Secondly, there is no linear relationship, in this model, between the number of higher education institutions and the dependent variable. We infer that it is mainly due to the differences between the higher education institutions, such as scales and qualities, etc. Thirdly, there is enough evidence to conclude that the number of students enrolled in higher education institution and the dependent variable are linearly related; the number of patents and the ratio of creative industries are linearly related, as well. They represent the important roles of talents and technology in the development of creative industries.

Open access
An Analysis of the Creative Potential in Individual Regions of The Czech Republic

Abstract

Purpose of the article: Although the economic growth and society are two independent terms at the first sight, they are in fact closely connected and interact with each other. The main topic of this work is the creative economy, which is considered to be a part of growth theories. Thanks to the new approach, theorists supplement these theories with the demographic and the socio-cultural factor. First, the work establishes a comprehensive theoretical framework for economic growth (linked with creativity). Furthermore, it analyses the representation of creativity in the regions of the Czech Republic.

Methodology/methods: The primary aim of this work is to carry out an analysis that charts the representation of the creative potential in the regions of the Czech Republic. The analysis uses the new creative index, which was created by modifying of the Richard Florida´s creative index. Consequently, the work uses the new creative index within the framework of smaller regional units as opposed to national groupings. Additional advantages of this model include the number and measurability of the indexes.

Scientific aim: The aim of this work is not just demonstrating the dependence between the presence of creative people and economic growth, but in addition, the work aims to seek out the factors that influence the allocation of creative employees.

Findings: The work demonstrates high mutual dependence between creativity and economic growth with the help of the correlation coefficient. The assumptions that creative regions are more attractive on the social and knowledge basis were also confirmed.

Conclusions (limits, implications etc): Territorial units must consequently work to develop conditions, which support the establishment and the development of the creative environment in order to retain their competitiveness and support the economic growth.

Open access