2014
DOI: 10.1177/0042098013514461
|View full text |Cite
|
Sign up to set email alerts
|

China urban competitiveness in industrialization: Based on the panel data of 25 cities in China from 1990 to 2009

Abstract: There is a consensus in China that industrialization, urbanization, globalization and information technology will enhance China’s urban competitiveness. We have developed a methodology for the analysis of urban competitiveness that we have applied to China’s 25 principal cities during three periods from 1990 through 2009. Our model uses data for 12 variables, to which we apply appropriate statistical techniques. We are able to examine the competitiveness of inland cities and those on the coast, how this has ch… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
20
0
1

Year Published

2015
2015
2019
2019

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 25 publications
(21 citation statements)
references
References 43 publications
0
20
0
1
Order By: Relevance
“…China has undergone and is experiencing unique urbanization which raised heated and profound debate in academia and among policy-makers (Hsing, 2010;Li, 2011). In the past 30 years, albeit that the speed of urbanization in China has been strikingly fast, the discrepancy between high-level cities and county-level cities has rarely been attenuated and most of the mega cities has been diagnosed as over-saturated (Ni, 2013, Ni, Kresl, & Li, 2014Wu, Zhang, Jin, & Deng, 2009). The New Urbanization Planning in China has been released in which the development of urban agglomeration and small-medium cities has been highlighted in 2014 (Shan & Huang, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…China has undergone and is experiencing unique urbanization which raised heated and profound debate in academia and among policy-makers (Hsing, 2010;Li, 2011). In the past 30 years, albeit that the speed of urbanization in China has been strikingly fast, the discrepancy between high-level cities and county-level cities has rarely been attenuated and most of the mega cities has been diagnosed as over-saturated (Ni, 2013, Ni, Kresl, & Li, 2014Wu, Zhang, Jin, & Deng, 2009). The New Urbanization Planning in China has been released in which the development of urban agglomeration and small-medium cities has been highlighted in 2014 (Shan & Huang, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Where urban competitiveness is defined as a city's ability to attract capital, businesses, talent and visitors as a holistic concept, the environment and natural hazards are considered a determining factor [12]. Where urban competitiveness is defined as a city's efficiency at producing wealth and providing welfare, measured by GDP, ecological environment is considered as a driving factor [13]. Where urban competitiveness is based on regeneration-and property-linked business strategies, the sub-indicators include the ecological footprint and environmentally responsible property development [14].…”
Section: Environmental Sustainability and Urban Competitivenessmentioning
confidence: 99%
“…Two studies employed an explanatory approach, in which environmental performances were treated as explanatory factors of a city's competitiveness that was defined and measured otherwise. Ni et al [13] had a heavily economic-centric conceptualization of urban competitiveness and measured it by a city's GDP performances only. Although their framework did include the ecological environment as a driving factor of urban competitiveness, it was not included as an explanatory variable in the empirical analysis of the competitiveness of 25 Chinese cities.…”
Section: Environmental Sustainability and Urban Competitivenessmentioning
confidence: 99%
“…Therefore, selecting indicators that can truly reflect urban characters and organizing an indicator system have become an important approach to the comprehensive measurement of urban competitiveness. Scholars have attempted to use different angles in indicator selection [1,[3][4][5][6]. However, there are shortcomings to this approach: the selection of indicators and the decision of relationships among indicators are inevitably subjective [3].…”
Section: Introductionmentioning
confidence: 99%