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Published in: The Annals of Regional Science 2/2016

01-02-2016 | Original Paper

Product relatedness and economic diversification in the USA: an analysis at the state level

Authors: Vicente Donoso, Víctor Martin

Published in: The Annals of Regional Science | Issue 2/2016

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Abstract

This paper analyzes the relationship between current industrial structure and the development of new industries in 49 US states in the period 2002–2012. As a measure of product relatedness, we used the proximity index proposed by Hidalgo et al. (Science 317:482–487, 2007) and constructed a density measure, following Hausman and Klinger (2007), which captures the degree of relatedness between each state current industrial structure and exported product. Our econometric results provide evidence that US states tend to diversify into new products that use available capabilities from existing economic activities. Also, we find that the impact of product relatedness on product diversification positively depends on the level of several state-specific economic variables (migration flows within states, cluster strength and R&D). Furthermore, we show that the degree, to which the development of a new product benefits from available capabilities, depends on its initial level of specialization.

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Appendix
Available only for authorised users
Footnotes
1
The sample period was selected attending to state trade data availability.
 
2
Several states cluster programs are examples of this kind of initiatives: Arizona Strategic Partnership for Economic Development (Arizona), Joint Venture: Silicon Valley Network (California) and Twin Cities Industry Cluster Project (Minnesota).
 
3
See Neffke et al. (2011) for the existing different measures of technological relatedness between industries.
 
4
Following Balassa (1969), a country has a comparative advantage in a certain product if its export share on that product is higher than the share of that product in world exports (RCA \(>\)1).
 
5
We discarded from the analysis the states of Alaska and Hawaii and included the Federal district of Washington D.C.
 
6
Data on total migration flows within states was obtained from the US Census Bureau, American Community Survey.
 
7
Data on cluster strength were obtained from the Institute for Strategy and Competitiveness, Harvard Business School.
 
8
Data on the level of urbanization by state were obtained from the US Census Bureau.
 
9
Data on R&D as a percentage of GDP were obtained from the US National Science Foundation.
 
10
Thus, the density variable at the national level measures, for each state and product, the available capabilities in the rest of the country, related to that particular product.
 
11
We also estimated both equations using the following variables: Human capital, GDP per capita and high-technology establishments over total establishments. However none of the parameters for the interaction terms between density and these variables was statistically significant at conventional levels. These results are presented in Tables 7 and 8 of the Appendix.
 
12
Data on R&D over GDP were obtained from the US National Science Foundation.
 
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Metadata
Title
Product relatedness and economic diversification in the USA: an analysis at the state level
Authors
Vicente Donoso
Víctor Martin
Publication date
01-02-2016
Publisher
Springer Berlin Heidelberg
Published in
The Annals of Regional Science / Issue 2/2016
Print ISSN: 0570-1864
Electronic ISSN: 1432-0592
DOI
https://doi.org/10.1007/s00168-016-0747-8

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