当前位置: X-MOL 学术Asian Journal of Technology Innovation › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The mechanism of innovation spill-over across sub-layers in the ICT industry
Asian Journal of Technology Innovation ( IF 1.769 ) Pub Date : 2020-07-28 , DOI: 10.1080/19761597.2020.1796725
Changjun Lee 1 , Hosoo Cho 2 , Daeho Lee 3
Affiliation  

ABSTRACT

While there has been a study regarding the mechanism of innovation spillover within an information and communication technology (ICT) ecosystem, to the best of our knowledge, there has been no research on the mechanism of innovation spillover between sublayers. To fill this gap, this study aimed to disentangle the empirical question of how innovation spills over between sublayers. We classified the ICT industry into three layers, Content, Goods, and Service, and collected financial data from KISVALUE over the last 18 years (2000–2017). Stochastic frontier and meta-frontier analysis were used to estimate the annual production function of each layer and the meta-production functions that encompass each sublayer’s frontiers. Based on the efficiency calculations, we introduced two types of instrumental variables: (1) each industry’s single radical innovation and (2) the effect of an industry’s incremental innovation, then regressed the firms’ efficiency on other industries’ radical and incremental innovation. The results showed that innovation from one sublayer affects the other sublayers’ productivity gains, thus triggering other types of innovation and causing reciprocal productivity gains in the other sublayers of the ICT ecosystem. This study sheds light on the mechanism of innovation spillover across sublayers in the ICT ecosystem, and the implications of the findings are discussed.



中文翻译:

ICT产业跨层级创新溢出机制

摘要

虽然已有关于信息通信技术(ICT)生态系统内创新溢出机制的研究,但据我们所知,还没有关于子层间创新溢出机制的研究。为了填补这一空白,本研究旨在解开创新如何在子层之间溢出的实证问题。我们将ICT行业分为三个层次,内容商品服务,并从 KISVALUE 收集了过去 18 年(2000-2017 年)的财务数据。使用随机前沿和元前沿分析来估计每一层的年生产函数和包含每个子层边界的元生产函数。在效率计算的基础上,我们引入了两类工具变量:(1)每个行业的单一激进创新;(2)一个行业增量创新的影响,然后将企业效率回归到其他行业的激进和增量创新上。结果表明,来自一个子层的创新会影响其他子层的生产力收益,从而触发其他类型的创新,并导致 ICT 生态系统其他子层的生产力相互提高。

更新日期:2020-07-28
down
wechat
bug