Regional Differences,Source Decomposition and Formation Mechanism of Urban Digital-real Integration in China
Three methods are employed,namely the vertical-horizontal gap widening method,the base ratio method,and the linear weighting method,to measure the number-real integration index of 287 cities at and above the prefectural level in China from 2011 to 2020.The number-real integration levels of cities are examined from spatial and structural perspectives using the Dagum Gini coefficient and variance decomposition method.A quadratic assignment procedure is utilized to reveal the formation mechanism.The results indicate a clear upward trend in the overall number-real integration level across the country and its four major regions.However,since 2017,an evident imbalance in integration levels emerged,with significant spatial heterogeneity among the four regions.Regional disparities are identified as the primary source of differences in number-real integration,with the largest disparity observed between the eastern and western regions.Internal differences within the eastern region are also prominent compared to other regions.The scale and foundation of integration constitute the main structural sources of integration differences.The impact of scale differences on number-real integration decreases sequentially from the east to the northeast region.The northeast region exhibites the strongest influence of structural differences,while the western region shows the least impact.Both integration foundation and efficiency differences have the strongest driving force on the western region and the weakest force on the eastern region.The rising disparities in integration foundation and scale are identified as the primary reasons for the widening differences in number-real integration levels in China since 2017.The findings contribute to the enrichment of the evaluation system and methods for assessing number-real integration in the cities of China.They provide valuable reference points for exploring the distribution characteristics and evolutionary trends of number-real integration levels in China,as well as for identifying effective pathways for deep integration between the digital economy and the real economy.
万方数据
维普
