ECONOMIC RESILIENCE AND ITS INFLUENCING FACTORS BASED ON NIGHTTIME LIGHT DATA FROM THE BOHAI RIM REGION DURING THE COVID-19 PANDEMIC
Based on nighttime light data from the fourth quarter of 2019 to the fourth quarter of 2021,this-study analyzes the spatiotemporal evolution of economic resilience at different timescales in the Bohai Rim region,and explores the main factors influencing regional economic resilience.The conclusions are as fol-lows:1)Economic resilience in the Bohai Rim region exhibits significant fluctuations on a quarterly basis,with Beijing and Tianjin experiencing greater volatility than other provinces.However,from an annual per-spective,changes in the overall economic resilience of the region are relatively minor,and the differences in annual economic resilience among the provinces and cities are not pronounced.2)The northern part of the Beijing-Tianjin-Hebei urban agglomeration displays high levels of economic resilience both quarterly and an-nually,consistently demonstrating a"high-high"clustering in terms of economic resilience.The middle and southern Liaoning urban agglomeration overall shows a lower level of resilience,yet the overall trend is posi-tive.The Shandong Peninsula urban agglomeration,on the other hand,exhibits considerable internal differ-ences in economic resilience levels.3)While the diversification of industrial structures has a dampening ef-fect on quarterly economic resilience,social consumption and government regulation contribute to enhanc-ing it.Differently,there is an inverted U-shaped relationship between the advancement of industrial struc-tures and annual economic resilience.Along with the level of industrial advancement increases,the positive impact on annual economic resilience gradually diminishes.Additionally,the positive effects of technologi-cal innovation manifest with a certain delay,and an increased level of openness to the outside world does not favor the enhancement of annual economic resilience during the pandemic period.
Bohai Rim regioneconomic resiliencenighttime light indexinfluencing factors
万方数据
维普
