复杂度
数字经济
人力资本
匹配(统计)
业务
创新经济学
产业组织
知识经济
首都(建筑)
经济
经济
经济体制
市场经济
计算机科学
社会科学
统计
数学
考古
社会学
万维网
历史
作者
Amogh Ghimire,Sajjad Ali,Xingle Long,Lili Chen,Jie Sun
标识
DOI:10.1016/j.techfore.2023.122987
摘要
Digital Silk Road (DSR) initiated in 2015 aimed to foster industry collaboration within high-tech sectors. We compare different effects of the Digital Silk Road and innovation heterogeneity on digital economy growth between 9 treatment and 20 control countries via propensity score matching (PSM)-DID (difference-in-differences) methodology. The PSM-DID approach have the merits to address the differences biases between treatment and controlled groups, while embracing the complex dimensions of individual heterogeneity. Furthermore, we also explore the different effects of institutions innovation (INS), human capital and research innovation (HCR), infrastructure innovation (INF), market sophistication innovation (MAS), and business sophistication innovation (BUS) on the digital economy. Notably, the investigation also probes the interactions that transpire between human capital & research innovation and different innovation on the digital economy. The DID regression revealed that policy shock of DSR has exerted a discernibly positive effect on the digital economy. Infrastructure innovation improved digital economy. Human capital and research innovation also enhanced digital economy. Business sophistication innovation promotes the increase of the digital economy.
科研通智能强力驱动
Strongly Powered by AbleSci AI