The Global Urban Competitiveness Report – 2010
Show Less

The Global Urban Competitiveness Report – 2010

Pengfei Ni and Peter Karl Kresl

The Global Urban Competitiveness Report – 2010 is an empirical study of the competitiveness of 500 cities around the world. This one-of-a-kind annual resource draws on a wealth of data sources, all of which are described and assessed. Using a sophisticated methodology and a team of 100 researchers from the Chinese Academy of Social Sciences, the book not only ranks these cities but also presents a wealth of information with regard to the strengths and weaknesses of each city in relation to each other. The book includes a full discussion of the factors that create urban competitiveness, what sorts or categories of cities are most competitive, and comments on the policies and initiatives that are adopted by the most competitive cities.
Buy Book in Print
Show Summary Details
You do not have access to this content

Chapter 3: Econometric Findings

Pengfei Ni and Peter Karl Kresl


At the end of Chapter 1, we concluded that measuring index system and explanatory index system of GUCI are both composed of a number of indicators. Therefore, it is difficult to test the correctness of the index systems and to analyze factors affecting global urban competitiveness of specific cities and their significance in affecting the results. In this study, GUCI is integrated by a number of non-linear weighed indicators, including GDP, economic growth rate, GDP per capita, GDP per square kilometer, productivity, employment rate, price advantage indicator, patent applications and the presence of transnational companies. Specifically, the GUCI system consists of seven level-I indicators, including enterprise, human resource, industry structure, soft environment, hard environment and global connectivity (as well as 40 level-II and 105 level-III indicators). To test the rationality of the GUCI indicators, linear and non-linear F-tests and t-tests of the 152 indicators of level-I/II/III were conducted using the GUCI. Both tests got consistent results. Here we would focus on the linear test only. As the comprehensive competitiveness of each city is obtained through the combination of a number of indicators and there might be possible error in the process, linear and non-linear F-tests and t-tests of the 152 indicators of level-I/II/III were conducted again, using the nine GUCI component indicators. If any one of the 152 explanatory indicators passes the correlation test of all nine measuring indicators, that indicator is relevant to the comprehensive competitiveness of the city. The results show that, by competitiveness as a dependent variable,...

You are not authenticated to view the full text of this chapter or article.

Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.

Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.

Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.

Further information

or login to access all content.