The unintended consequences of increasing returns to scale in geographical economics

Investing for prosperity: skills, infrastructure and innovation

Steven Bond-Smith

Journal of Economic Geography, 2021, vol. 21, issue 5, 653-681

Abstract: Increasing returns to scale is the basis for many powerful results in economics and economic geography. But the limitations of assumptions about returns to scale in economic growth theories are often ignored when applied to geography. This leads to an unintentional bias favoring scale and mistaken conclusions about geography, scale and growth. Alternatively, this bias is used as a convenient modeling trick by urban economists to describe agglomeration economies for innovation without examining the spatial mechanisms that actually create agglomeration economies. I discuss techniques to focus on the distinctly geographic mechanisms that define returns to scale at appropriate spatial scales.

Keywords: Increasing returns to scale; endogenous growth; scale effects; knowledge spillovers (search for similar items in EconPapers)
JEL-codes: O41 R11 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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Related works:
Working Paper: The unintended consequences of increasing returns to scale in geographical economics (2021)
Working Paper: The unintended consequences of increasing returns to scale in geographical economics (2019)
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