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Structural Decomposition and Shift-Share Analyses: Let the Parallels Converge

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TypeOfResource
Text
TitleInfo
Title
Structural Decomposition and Shift-Share Analyses: Let the Parallels Converge
Name (type = personal)
NamePart (type = family)
Dietzenbacher
NamePart (type = given)
Erik
Affiliation
University of Groningen
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal); (authority = orcid); (authorityURI = http://id.loc.gov/vocabulary/identifiers/orcid.html); (valueURI = http://orcid.org/0000-0002-2602-2465)
NamePart (type = family)
Lahr
NamePart (type = given)
Michael L.
Affiliation
Center for Urban Policy Research (CUPR), Rutgers University
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = corporate); (authority = RutgersOrg-Department)
NamePart
Center for Urban Policy Research (CUPR)
Name (type = corporate); (authority = RutgersOrg-School)
NamePart
Edward J. Bloustein School of Planning and Public Policy
Genre (authority = RULIB-FS)
Conference Paper or Lecture
Genre (authority = NISO JAV)
Accepted Manuscript (AM)
OriginInfo
DateCreated (encoding = w3cdtf); (qualifier = exact); (keyDate = yes)
2016
Abstract (type = Abstract)
Intuitively, structural decomposition analysis (SDA) demonstrates strong similarities to shift-share analysis (SSA). Both examine the effects of industry shifts due to growth (or decline) and some sort of difference in industry shares. But SSA works its shares across space while SDA works its shares again across industries via technology change (fabrication effects). Suffice it to say, SDA and SSA are related, and this chapter will formally combine the two disparate strands of literature. In particular, it will show how changes in regional growth differentials can be included into a structural decomposition analysis. Moreover, the present availability of a large number of input-output table panels appears to enable the detection of even more parallels between the two approaches. Between the formalization of the SSA-SDA relationship and the available I-O data, a wide range of new, policy-relevant empirical applications is possible. The chapter will conclude by suggesting a few avenues for future research.
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
PhysicalDescription
InternetMediaType
application/pdf
Extent
11 p.
Subject (authority = local)
Topic
Structural decomposition analysis
Subject (authority = LCSH)
Topic
Shift-share analysis
Subject (authority = local)
Topic
Regional analysis
Subject (authority = LCSH)
Topic
Input-output analysis
Extension
DescriptiveEvent
Type
Conference
DateTime (encoding = w3cdtf)
2016
Label
Meeting of the Southern Regional Science Association
Place
Washington, D.C.
Detail
55th
Note
Based on a paper presented at the 55th Meeting of the Southern Regional Science Association, April 2, 2016, Washington, D.C. in a session on the book, Regional Research Frontiers.
RelatedItem (type = host)
TitleInfo
Title
Lahr Michael L.
Identifier (type = local)
rucore30152600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3HM5BHQ
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Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.
Copyright
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Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsEvent
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Permission or license
AssociatedObject
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License
Name
Multiple author license v. 1
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I hereby grant to Rutgers, The State University of New Jersey (Rutgers) the non-exclusive right to retain, reproduce, and distribute the deposited work (Work) in whole or in part, in and from its electronic format, without fee. This agreement does not represent a transfer of copyright to Rutgers. Rutgers may make and keep more than one copy of the Work for purposes of security, backup, preservation, and access and may migrate the Work to any medium or format for the purpose of preservation and access in the future. Rutgers will not make any alteration, other than as allowed by this agreement, to the Work. I represent and warrant to Rutgers that the Work is my original work. I also represent that the Work does not, to the best of my knowledge, infringe or violate any rights of others. I further represent and warrant that I have obtained all necessary rights to permit Rutgers to reproduce and distribute the Work and that any third-party owned content is clearly identified and acknowledged within the Work. By granting this license, I acknowledge that I have read and agreed to the terms of this agreement and all related RUcore and Rutgers policies.
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ContentModel
Book
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