City Competitiveness: Talent Flow Over GDP

Detailed technical aspects of analyzing urban health and talent flow include:

• Labor Force Metrics: Beyond GDP, key indicators for urban health and talent competitiveness include the labor force participation rate (LFPR), which measures the proportion of the working-age population that is employed or actively seeking work, and the employment-population ratio (E-P ratio), which is less affected by short-term unemployment fluctuations.
• Talent Flow Analysis: Data science approaches utilize publicly shared professional profiles to analyze job hopping behavior, quantify work experience required for specific roles, and correlate these metrics with career progression (promotion/demotion). Network analyses at job and organizational levels provide insights into talent movement and competitiveness.
• Population and Workforce Projection: The cohort component method is used to estimate future population and workforce numbers by sex and age groups, considering factors like survival rates, age-specific fertility rates, birth sex ratios, and social mobility rates. This method requires significant population size and comprehensive data for high accuracy.
• Urban Talent Competitiveness (UTC) Evaluation: UTC is assessed through a comprehensive index system that includes regional development, industry development, income levels, and the regional environment, prioritizing credentials, skills, and economic contributions.
• Data Sources for Labor Market Variables: Estimations of working-age, employed, and unemployed persons often rely on microdata from labor force surveys, supplemented by administrative registers to achieve desired spatial disaggregation (e.g., municipal level) and stratification by gender and age.