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The Emerging Digital Economy: Conclusions

机译:新兴数码经济:结论

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This book has been compiled with the purpose of adding to the complex picture of possible impacts of information and communication technologies (ICTs) with a special focus on spatial effects and, at the same time, hopefully, in some instances, making the picture more comprehensible. This concluding chapter creates a synthesis of the major aspects of the book and lessons for future research, and explores avenues for public policy making in the emerging digital economy. It is appropriate to devote attention to the effects of the generation, diffusion and the use of ICTs, because they represent a new technological paradigm that belongs to the family of general purpose technologies (GPTs). A GPT has the potential for pervasive adoption and adaptation in a wide range or even all sectors in ways that drastically change operations and products as well as the relationships between different sectors. The characteristics of GPTs have been described by Bresnahan and Trajtenberg (1995, p. 84): "Most GPTs play the role of 'enabling technologies', opening up new opportunities rather than offering complete, final solutions." General purpose technologies also involve 'innovational complementarities', i.e. "the productivity of R&D in a downstream sector increases as a consequence of innovation in the GPT technology". Thus, GPTs have two major characteristics: generality of application; and, innovational complementarities. However, other characteristics of GPTs are also important (Lipsey et al. 1998): (ⅰ) much scope for improvement initially, (ⅱ) many varied uses, (ⅲ) applicability across large parts of the economy, and (ⅳ) strong complementarities with other technologies.
机译:本书已被编制,目的是增加信息和通信技术(ICT)可能影响的复杂图片(ICT),并在某些情况下,在某些情况下,同时,使图片更加可理解。该结论章节综合了本书的主要方面和未来研究的教训,并探讨了新兴数字经济中公共政策制定的途径。注意注意力的影响,扩散和使用信息通信技术的影响是适当的,因为它们代表了属于通用技术(GPT)的新技术范式。 GPT在广泛的范围甚至所有部门的方式中拥有普遍采用和适应的可能性,这是彻底改变运营和产品以及不同部门之间的关系。 BPTS的特点是由Bresnahan和Trajtenberg(1995,第84页)描述的:“大多数GPTS发挥了”启用技术“的作用,开辟了新的机会而不是提供完整的最终解决方案。”通用技术还涉及“创新互补性”,即“下游部门的研发的生产力随着GPT技术的创新而增加。因此,GPT有两个主要特征:应用的一般性;而且,创新的互补性。但是,GPT的其他特征也很重要(Lipsey等人1998):(Ⅰ)最初的改进范围最初,(Ⅱ)许多不同的用途,(Ⅲ)在大部分经济上适用,(ⅳ)强互补性与其他技术。

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