EconPapers    
Economics at your fingertips  
 

A New Image of Classical Key Sector Analysis: Minimum Information Decomposition of the Leontief Inverse

Michael Sonis, Geoffrey Hewings and Jiemin Guo

Economic Systems Research, 2000, vol. 12, issue 3, 401-423

Abstract: This paper provides a theoretical framework for the Rasmussen-Hirschman key sector analysis based on a minimum information approach. This approach introduces a separation of information about regional economic structure into two parts. In the first part, knowledge about economic structure, extracted on the basis of minimum information included in the row and column multipliers, is extracted from the Leontief inverse matrix. The second part presents the specifics of synergetic interactions between different sectors of the economy. A corresponding intensity matrix represents the strength of the fields of influence of simultaneous multiple changes. From this formulation, a minimum information decomposition of the Leontief inverse is shown to exist and applied to Chinese input-output tables for 1987 and 1990.

Keywords: Key Sectors; Minimum Information; Intensity Matrix; China (search for similar items in EconPapers)
Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24) Track citations by RSS feed

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/09535310050120952 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:ecsysr:v:12:y:2000:i:3:p:401-423

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CESR20

Access Statistics for this article

Economic Systems Research is currently edited by Bart Los and Manfred Lenzen

More articles in Economic Systems Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2019-09-21
Handle: RePEc:taf:ecsysr:v:12:y:2000:i:3:p:401-423