SPATIAL DIFFERENTIATION OF URBAN ECONOMIC RESILIENCE AND ITS INFLUENCING FACTORS: EVIDENCE FROM BAIDU MIGRATION BIG DATA

Under the development pattern of “double cycle”, optimizing urban economic resilience is tremendously meaningful to improving a city’s affordability and adaptability economy promoting Chinese develop with high quality. Based on Baidu migration big data perspective, exploratory spatial analysis (ESDA) multi-scale geographical weighted regression (MGWR) model were used analyze characteristics driving factors in 287 cities 2019. The results show that (1) number low-level economically resilient largest distributed continuously, while high-level lowest clusters blocks; (2) compared Pearl River Delta Yangtze Delta, population accumulation characteristic Beijing- Tianjin-Hebei region relatively slow; (3) Both net inflow after spring festival daily flow scale are significantly correlated resilience, former will affect resilience; (4) heterogeneity each factor significant, they have different impact scales. intensity as follows: > innovation ability public financial expenditure efficiency size.