数字经济
样品(材料)
数据包络分析
芯(光纤)
质量(理念)
非参数统计
规模经济
比例(比率)
业务
产业组织
多样性(政治)
计算机科学
经济
经济
营销
计量经济学
电信
地理
政治学
万维网
哲学
化学
地图学
法学
色谱法
数学优化
数学
认识论
作者
Esteban Lafuente,Zoltán J. Ács,László Szerb
标识
DOI:10.1080/00472778.2022.2100895
摘要
This study evaluates the quality of the digital platform economy at the global scale by employing a network model rooted in nonparametric linear techniques (data envelopment analysis) on a sample of 116 countries for 2019. The proposed model is in accordance with the geographic diversity (country heterogeneity) and the multilayered structure characterizing the interactions between system participants: governments, digital platforms, platform-dependent firms, and end users. The core findings indicate that the configuration of countries' platform economy is very heterogeneous, which suggests that an informed, tailor-made approach to policy might produce more effective outcomes. Policies aimed at enhancing the digital platform economy should emerge from the analysis of its main factors if the development of a strategy seeking qualitative improvements in the system is the desired goal.
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