Identification of regional urbanization gap: evidence of China

Bing Xu*, Junzo Watada

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)


    Purpose–The study aims to reinvestigate the regional urbanization gap in China and some projects are to be presented for reducing the gap. Design/methodology/approach–An innovative weighted kernel density approach is applied for identifying the regional urbanization development with population migration and investment and evaluating the projects. Findings–The regional urbanization gap is 7 and 9 percent with the unconditional estimation, 13 (23) percent and 13 (23) percent with population (investment) weighted estimation between eastern and middle region, eastern and western region, respectively. The project on the interior migration of population by 30 percent and the project on the selective investment enhancement by 30 percent both reduce the regional urbanization gap by about 4 percent between middle and eastern region. Research limitations/implications–Focus is only on the investigation of urbanization development level with single population migration or investment enhancement; the identifications and projects with joint impact of population and investment are not considered. Originality/value–The study not only measures the urbanization development with the nonparametric approach but also designs some practicable projects for reducing the regional urbanization gap, which is helpful for the Chinese Government in the policymaking process.

    Original languageEnglish
    Pages (from-to)7-25
    Number of pages19
    JournalJournal of Modelling in Management
    Issue number1
    Publication statusPublished - 2008 Jan 1


    • China
    • Economic development
    • Identification
    • Urban economics

    ASJC Scopus subject areas

    • Management Science and Operations Research
    • Strategy and Management


    Dive into the research topics of 'Identification of regional urbanization gap: evidence of China'. Together they form a unique fingerprint.

    Cite this