Author
Listed:
- Raphael Bar-El
- Sharon Hadad
- Liran Maymoni
- Ran Ben-Malka
- Reut Megidish
Abstract
This article explores the question of the integration ability of peripheral regions into innovation-led growth. While previous research has suggested that peripheral regions may be at a disadvantage, recent studies have argued that there may be potential benefits to their integration into the innovation process. This article offers a different approach for the examination of this controversy. First, it uses knowledge-based occupations as a measure of innovation activity (instead of types of activities such as startups, high-tech activities or services). Second, it considers innovation advance under two perspectives: demand (as measured by types of occupations installed in a region) and supply (as measured by types of occupations of the resident labour force). We use regression analysis to compare trends in the last two decades in Israel.Although findings indicate a process of adaptation of both periphery and centre to the innovation trend (in terms of increasing relative growth of high-level occupations), both in terms of supply and demand, steady gaps between the growth coefficients lead to a process of degradation of the periphery: lower increase of skills in the periphery and lower adaptation of demand to increasing skills. This results in a higher commuting rate (or migration) of skilled workers from the periphery, a substantial relative concentration of blue-collar occupations and an increasing supply of unskilled workers to the centre.The prevention or attenuation of such a process requires the consideration of policy measures regarding the prevailing ecosystem factors.
Suggested Citation
Raphael Bar-El & Sharon Hadad & Liran Maymoni & Ran Ben-Malka & Reut Megidish, 2024.
"Can the periphery survive innovation-led growth? Insights from Israel,"
Regional Studies, Regional Science, Taylor & Francis Journals, vol. 11(1), pages 453-470, December.
Handle:
RePEc:taf:rsrsxx:v:11:y:2024:i:1:p:453-470
DOI: 10.1080/21681376.2024.2374994
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