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22. global city & city marketing   prof. huang luixin - g2 - d khoa, t xuan, my y, d quynh
 

22. global city & city marketing prof. huang luixin - g2 - d khoa, t xuan, my y, d quynh

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  • Eg: Dubai,United Arab Emirates, where 82% of the population was foreign-born in 2002. A closer examination of the data reveals that 61% of the foreign-born came from South Asia (India and Pakistan). Thus, while Dubai is mostly a city of immigrants, it is not that diverse with regards to its immigrants’ countries of origin. Nor is it a country that encourages immigrants to become citizens.
  • Eg: Dubai,United Arab Emirates, where 82% of the population was foreign-born in 2002. A closer examination of the data reveals that 61% of the foreign-born came from South Asia (India and Pakistan). Thus, while Dubai is mostly a city of immigrants, it is not that diverse with regards to its immigrants’ countries of origin. Nor is it a country that encourages immigrants to become citizens.

22. global city & city marketing   prof. huang luixin - g2 - d khoa, t xuan, my y, d quynh 22. global city & city marketing prof. huang luixin - g2 - d khoa, t xuan, my y, d quynh Presentation Transcript

  • THE VIETNAMESE GERMAN UNIVERSITY
    URBAN DEVELOPMENT PLANNING
    THE RANKING OF GLOBAL IMMIGRANT CITIESLisa Benton-Short, Marie D. Price & Samantha Friedman
    Instructor : Huang Luixin
    Students: Vo My Y
    Nguyen ThiThanhXuan
    Nguyen DinhKhoa
    Nguyen Dan Quynh
  • CONTENT
    • Key words
    • Paper description
    • Overall comments
  • 1. KEY WORDS (1/2)
    • Global immigrant cities
    Multi-culture, dramatic socio-cultural changes
    • Global city dynamics
    • Hyper-diverse cities
    • Globalization from below/bottom-up
    From microcosm
    • Global urban hierarchy
    Ranking cities in the past 20 years
  • 1. KEY WORDS (2/2)
    • Intensification of global processes
    Racing of top ranking & global city dynamics
    • Foreign-born residents/population
    People who were born in destination countries
    • Unskilled/Skilled international labor migration
    Are characteristic of global cities
    • Destinations/Sending city
    • Urban immigrant index
    New variable index (Alpha, Beta, Gamma cities)
  • 2. PAPER DESCRIPTION (1/7)
    2.1. Previous Approaches
    • Urban study developments:
    The past 30 years: “world city” hierarchy (economic, financial hubs)
    The past 20 years: “networks”, “ranking”, “functional node”
    • Limitations of the previous approaches
    Imbalanced database & weighs of studies on urban hierarchy/global networks
    No consistency among studies
    One dimensional measurements on economy as criteria
    Informal competition among cities
    • Economic prestige & investment
    • Linkages btw. cities/countries to the global
    • Self-perpetuation of city status  competitions among cities
    New approach: connection among urbanization, immigration & globalization
  • 2. PAPER DESCRIPTION (2/7)
    2.2. Necessity of study on urban immigration
    Better assessment of how and where immigration impact on political, economic, social and cultural dimensions of cities.
    Expand the range of criteria used to assess city ‘globalness’
     Include immigration in world cities research.
    Ranking immigrant urban destinations
    Call attention to impacted cities under significant social & demographic change due to immigration.
  • 2. PAPER DESCRIPTION (3/7)
    2.3. Empirical study
    • Methods
    To Chose pilot cities(150 cities).
    To Collect data/date sourcing.
    The US Census International Program Center Library outside Washington DC.
    United Nations Population Division immigration database.
    Official government websites
  • 2. PAPER DESCRIPTION (4/7)
    2.3. Empirical study
    • Methods
    To characterize the origin countries of the immigrant stock.
    An = (bn-an)/sn
    bn: Value of each characteristic
    an: Avarage
    sn: Standard deviation
    Determining the percentage of foreign-born. (b1, a1, s1 A1)
    Account for the total numbers of immigrants. (b2, a2, s2 A2)
    Percentage of immigrants not from neighboring countries (relative distance traveled). (b3, a3, s3 A3)
    Diversity of the immigrant stock (no one group represented more than 25%) (b4, a4, s4 A4)
    Building up “Z-score” based on the four variables
    Weighted the level of importance by specific ratio
    Z = 40%A1 + 30%A2 + 15%A3±15%A4
    Ranking
    Base on calculation of Z ranger from -1.1 to 2.1
    Z = -1.1: less culturally globalized by immigration.
    Z= 2.1: more culturally globalized by immigration.
  • 2. PAPER DESCRIPTION (5/7)
    2.3. Empirical study
    • Findings
    Ranking cities based on percentage of foreign-born (top 25) arranged based on the format of World City Roaster (next slide)
    Many major economic centers ≡ important cultural globalization areas (immigration & diversity) (North American & Australian cities)
    Many cities overlooked & understudied (*) with regard to immigration (Europe & Middle East vs. traditionally North America, Western Europe & Pacific Asia); (*) Latin America, Western Africa, Southern Africa, South Asia7/25 top: Middle East
    Identify the need to generate, collect & store urban immigration data accessible for scholars & policymakers.
    Need multi-variable index to better examine the role of immigration in cultural globalization.
  • 2. PAPER DESCRIPTION (6/7)
    Comparison of two method ranking
  • 2. PAPER DESCRIPTION (7/7)
    2.3. Empirical study
    • Shortcomings
    Incomparable data (different sources, different data publication, lack of consistent standard of data sources administratively)
    Over/under counting foreign-born due to legal status of immigrants
    Gap of quality & detailed of database btw developed countries vs. developing ones
    Fail to measure the dynamics of immigration via its composition (indirectly criteria 3) & reasons (religion, employment, pull of social networks)
  • 3. OVERAL COMMENTS
    • New approach of ranking urban
    (Immigrants – socio-cultural, economic impact)
    • Better understanding of urban diversities, dynamics & intensification
    (urbanization – immigration – globalization )
    • Establishment of new measurement index: Urban Immigrant Index
    • Increasing cultural complexity of cities  Globalization beyond economic indicators.
    • Further studies for standardization of database for the world’s cities in urbanization
  • THANK YOU