The economic drivers of media clusters

2020

Closed access Metadata (CSL-JSON)
DOI 10.1386/macp_00031_1
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

There is no consensus in the literature about how successful media clusters can be developed. Using insights from workshops and survey data, this study develops and tests a new model that explains why media activities agglomerate at certain places. The model consists of four economic drivers: urbanization, localization, agglomeration and perception economies. The findings emphasize that a one-size-fits-all policy regarding media cluster development is best avoided, due to the high levels of heterogeneity in the conditions for success.