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The Emerging Digital Economy: Conclusions

机译:新兴的数字经济: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:编写本书的目的是将信息和通信技术(ICT)可能产生的影响添加到复杂的图片中,并特别关注空间影响,同时希望在某些情况下使图片更易理解。本章的最后部分总结了本书的主要方面和未来研究的课程,并探讨了新兴数字经济中制定公共政策的途径。适当注意ICT的产生,传播和使用的影响,因为它们代表了属于通用技术(GPT)系列的新技术范式。 GPT可能以大幅度改变运营和产品以及不同部门之间的关系的方式在广泛甚至所有部门中被广泛采用和适应。 Bresnahan和Trajtenberg(1995,第84页)描述了GPT的特征:“大多数GPT都扮演着“使能技术”的角色,创造了新的机会,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“由于GPT技术的创新,下游部门的研发生产率提高了”。因此,GPT具有两个主要特征:应用的普遍性;创新的互补性。但是,GPT的其他特征也很重要(Lipsey等,1998):(ⅰ)最初有很大的改进空间,(ⅱ)用途广泛,(ⅲ)经济的大部分地区都适用,并且(ⅳ)互补性强与其他技术。

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