2013
DOI: 10.1007/s00191-013-0308-6
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Technological unemployment in industrial countries

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Cited by 109 publications
(79 citation statements)
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“…An overview of research by Feldmann (2013) notes that most of them prove that technological change can increase unemployment in certain circumstances and in some cases even in the long run and this confirms the 19th century Malthus' statement that a rising demand for a product due to reduced prices is unlikely to be sufficient as demand for redundant workers is decreasing. Profit growth cannot be sufficient unless the companies firstly invest in capital-intensive technologies.…”
Section: The Nexus Between Technological Innovation and Unemploymentmentioning
confidence: 66%
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“…An overview of research by Feldmann (2013) notes that most of them prove that technological change can increase unemployment in certain circumstances and in some cases even in the long run and this confirms the 19th century Malthus' statement that a rising demand for a product due to reduced prices is unlikely to be sufficient as demand for redundant workers is decreasing. Profit growth cannot be sufficient unless the companies firstly invest in capital-intensive technologies.…”
Section: The Nexus Between Technological Innovation and Unemploymentmentioning
confidence: 66%
“…Although Kromann et al (2011) argue that the best variable reflecting technological changes in the economy is R&D expenditures, the patents, as Kortum (1997) suggests, is the main technological variable reflecting the important aspects of the technological process and, presumably, "correlating with the immeasurable dimensions of technological change." However, according to Feldmann (2013), Dernis and Khan (2004), the following limitations on the calculation of patents under their registration at the national patent office can be pointed out: first, the registration of patents in one office varies greatly according to their technical and economic significance; secondly, it is difficult to compare them internationally, since they are affected by local preferences and geographic location. For these reasons, the number of triadic patent families per one million inhabitants (independent/exogenous variable) which avoids these limitations is used in the research as the main output indicator of technological innovation.…”
Section: Empirical Research On the Quantitative Assessment Of Technolmentioning
confidence: 99%
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