Suchergebnisse

AbstractThe information services (IS) industry, which facilitates industrial transformation and upgrading, has emerged as a key driving force behind China's economic growth in recent years. More evidence can be accumulated from the Pearl River Delta (PRD), one of the largest transforming economies and IS gathering region in China. Firstly, this paper investigates the spatial patterns and dynamics of IS agglomeration in the PRD from 2003 to 2018, using the spatial autocorrelation analysis and Kernel density analysis. Secondly, a dynamic panel model with a system generalized method of moments (SYS‐GMM) estimation is employed to identify the factors significantly influencing the industry agglomeration economy. Results show that: (1) Large firms continue to gather in the core area of major cities, while smaller firms show a more balanced distribution from the core to periphery regions. The spatial proximity of firms proves that micro firms benefit less from industrial agglomeration compared to larger ones. (2) The effects of agglomeration externalities on economic growth remains positive, with labor force and commuting costs playing a vital role in the expansion of the IS industry. By integrating geo‐spatial information and empirical evidence, this study contributes to China's understanding and experience as a late‐developing country in the digital economy era. Finally, policies supporting small and medium enterprises (SMEs), improving the effectiveness of government subsidies, and strengthening industry‐university research cooperation are proposed.

Accurate evaluation of the implementation effect of basic pension insurance for urban and rural residents(BPIURR) is an important means to realize effective supervision of pension insurance. From the perspective of fairness, efficiency and sustainability, the evaluation index system of the implementation effect of BPIURR was constructed in this article. Then by using the method of analytic Hierarchy Process and global entropy method, the implementation effect of BPIURR in 31 provinces from 2015 to 2019 was comprehensively evaluated in this article. The implementation effect of each kind of provinces was compared and analyzed by clustering analysis method. The results showed that the implementation effect of BPIURR in 31 provinces showed an increasing trend on the whole, but the comprehensive scores of all provinces were generally low. There were noticeable regional differences in the implementation effect of BPIURR.