A rapid informatization strategy for australia—an impact analysis

Karunaratne N.D. (1989) A rapid informatization strategy for australia—an impact analysis. Economic Systems Research, 1 4: 465-480. doi:10.1080/09535318900000030

Author Karunaratne N.D.
Title A rapid informatization strategy for australia—an impact analysis
Journal name Economic Systems Research   Check publisher's open access policy
ISSN 1469-5758
Publication date 1989-01-01
Sub-type Article (original research)
DOI 10.1080/09535318900000030
Open Access Status Not yet assessed
Volume 1
Issue 4
Start page 465
End page 480
Total pages 16
Language eng
Subject 2002 Cultural Studies
3305 Geography, Planning and Development
Abstract It is widely recognized that increasing the information technology intensiveness or the rapid informatization of the ailing Australian macroeconomy will revitalize it and enhance its international competitiveness. But the published national income and input-output data for Australia fail to reveal even the broad contours of the important information economy. This study attempts to overcome this lacuna by recasting input-output statistics using a computational algorithm so as to identify the information and noninformation sectors that constitute the Australian economy. Leon-tief's double inversion technique has been used to highlight the nascent and dynamic information sectors that have been obscured by the overwhelming nature of the noninformation economy in Australia. Impact analysis or multipliers and linkages have been deployed to identify the information sectors that were most attractive from the perspective of competing macroeconomic criteria. A composite scoring method was used to determine the optimal information sectors for further development. This study also delineates the core information technologies and enabling projects that should be undertaken within the optimal sectors for the realization of the rapid informatization of the Australian economy.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import - Archived
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Citation counts: Scopus Citation Count Cited 1 times in Scopus Article | Citations
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Created: Tue, 14 Jun 2016, 16:22:12 EST by System User