Document Type

Working Paper

Publication Date

11-1-2008

Working Paper Number

WP #08031, November 2008; Old working paper #13007

Abstract

This paper uses the pattern of firm entry and exit to develop a classification system for industries. The classifications include urban-rural bias; long-term growth; and firm survival patterns. The first captures the fact that sector-specific economic growth may be favored in urban areas for some industries and may benefit from low population density for others. Some industries have experienced long-term expansion in firm numbers while others have experienced a decline. Finally, some industries are characterized by high rates of both entry and exit while others have low rates of both. A taxonomy classifying industries according to those three criteria is developed in this paper. The taxonomy is applied to the Iowa subset of the National Establishment Time-Series (NETS) database over the period from 1992 to 2004. County level entry and exit rates are shown to be positively correlated across nearly all 2 digit NAICS code industries. Industry growth is found to be biased against rural areas. Not all of the industries experienced expansion or have a positive net entry rate. Entry of new firms replaces old incumbent firms in each industry but to different degrees. Understanding firm entry - exit pattern can help design customized policies of fostering expansion of specific industries in Iowa according to their location bias, industry growth patterns and development dynamics.

JEL Classification

D2

File Format

application/pdf

Length

38 pages

Included in

Economics Commons

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