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2018 | OriginalPaper | Buchkapitel

9. Bringing the Developmental State Back in the Age of Exponentiality

verfasst von : Seung Jin Baek

Erschienen in: The Political Economy of Neo-modernisation

Verlag: Springer International Publishing

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Abstract

Although there have been significant warnings against the forthcoming Industrial Revolution, no one is able to confidently predict the future of convergence technologies and innovations. Nevertheless, states must be prepared for this uncertain future and be ready to mark new paths of innovation and development. As long as the role of a state is embraced, the Tetris principle is introduced to systemise how a state designs and implements its policy framework to maximise socio-economic benefits while dealing with those future uncertainties. In particular, the policy directions on how to transform such uncertainties into opportunities are proposed on the basis of the Tetris principle, which considers a convergence between innovation, policymaking capacity, fairness and justice, human capital for convergence, and an ageing society.

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Fußnoten
1
There is on the other hand some negative view on such robotic object, notably, that is, the uncanny valley hypothesis—the more similar the appearance and the movement of a robotic object is to a human being, the greater people’s liking for the object but from a particular point of time, the stronger people’s sense of disgust and rejection will be.
 
2
The first Industrial Revolution refers to a period which saw the transition from hand production to machine production, the expanded usage of steam power, the development of machinery and the birth of factories; the second Industrial Revolution occurred in the late nineteenth century and early twentieth century, with the advent of electricity and production assembly lines.
 
3
Ordoliberalism looks at free market theory and the minimal state but emphasises more the artificial form of the market order rather than taking a market fundamentalism view that believes that the competitive order of the market is formed naturally.
 
4
People and the Internet: How people connect with others, information, and the world around them is being transformed through a combination of technologies. Wearable and implantable technologies will enhance people’s ‘digital presence’, allowing them to interact with objects and one another in new ways; Computing, Communications and Storage Everywhere: The continued rapid decline in the size and cost of computing and connectivity technologies is driving an exponential growth in the potential to access and leverage the Internet. This will lead to ubiquitous computing power being available, where everyone has access to a supercomputer in their pocket, with nearly unlimited storage capacity; The Internet of Things: smaller, cheaper, and smarter sensors are being introduced—in homes, clothes and accessories, cities, transport and energy networks, as well as manufacturing processes; Artificial Intelligence and Big Data: exponential digitisation creates exponentially more data—about everything and everyone. In parallel, the sophistication of the problems software can address, and the ability for software to learn and evolve itself, is advancing rapidly. This is built on the rise of big data for decision-making, and the influence that AI and robotics are starting to have on decision-making and jobs; the Sharing Economy and Distributed Trust: the Internet is driving a shift towards networks and platform-based social and economic models. Assets can be shared, creating not just new efficiencies but also whole new business models, and opportunities for social self-organisation. The blockchain, an emerging technology, replaces the need for third-party institutions to provide trust for financial, contract, and voting activities; and the Digitisation of Matter: physical objects are ‘printed’ from raw materials via additive (or 3D) printing, a process that is transforming industrial manufacturing, allows printing products at home, and creates a whole set of human health opportunities.
 
5
Two most unequal continents with an average Gini coefficient are Africa with .44 and Latin America with .52 over the period 2000−2009 (Armah and Baek 2015).
 
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Metadaten
Titel
Bringing the Developmental State Back in the Age of Exponentiality
verfasst von
Seung Jin Baek
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-91394-0_9

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