The competitiveness of China's leading regions: benchmarking their knowledge-based economies

Huggins, R., Luo, S. and Thompson, P. ORCID: 0000-0003-1961-7441, 2014. The competitiveness of China's leading regions: benchmarking their knowledge-based economies. Tijdschrift voor economische en sociale geografie, 105 (3), pp. 241-267. ISSN 1467-9663

[img]
Preview
Text
Thompson_Pid216913.pdf - Post-print

Download (434kB) | Preview

Abstract

China's spectacular economic growth has been spatially uneven, with much development occurring in eastern coastal areas. In particular, three metropolitan 'super-regions' have become China's most competitive knowledge-based economies, consisting of the Pearl River Delta, the Yangtze River Delta, and the Bohai Gulf Region. This paper benchmarks the competitiveness of these regions, with a view to exploring which region is best positioned to become the most dominant knowledge-based economy over time. Through the theoretical lens of dynamic comparative advantage, it is shown that each region has hugely increased its competitiveness through improvements in the capacity to absorb and diffuse knowledge. It is further shown that due to multi-dimensional advantages the Yangtze River Delta, incorporating the Shanghai metropolis, is best positioned to become the dominant hub of China’s future knowledge economy. It is concluded that China’s leading regions will require further economic policy adjustments in order to secure their future competitiveness.

Item Type: Journal article
Publication Title: Tijdschrift voor economische en sociale geografie
Creators: Huggins, R., Luo, S. and Thompson, P.
Publisher: Wiley for the Royal Dutch Geographical Society KNAG
Date: July 2014
Volume: 105
Number: 3
ISSN: 1467-9663
Identifiers:
NumberType
10.1111/tesg.12065DOI
Divisions: Schools > Nottingham Business School
Record created by: EPrints Services
Date Added: 09 Oct 2015 09:51
Last Modified: 09 Jun 2017 13:12
URI: https://irep.ntu.ac.uk/id/eprint/3866

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year