A dynamic input-output model with explicit new and old technologies: an application to the UK

Volodymyr Ryaboshlyk ()

Economic Systems Research, 2006, vol. 18, issue 2, 183-203

Abstract: Progress is traditionally measured by the improvement of an economy's average characteristics from year to year. Some deeper insight might be gained by splitting the averages into explicit parameters for the new and old technologies at work within the same year, and recognising that innovative growth is driven just by the 'potential difference' between these two types of technology. Economic modelling in this light generates volatile development paths greatly resembling actual statistical time series, giving a holistic description of cycles, structural change, structural unemployment, relative price shifts and capacity utilisation issues. The paper expands the author's elaborations of the explicit-new-technology approach from prototype economies to that of the UK. Forecasts very close to reality are achieved including the 1992 cyclical decline. All this gives empirical support to the premise that the input-output method, if modified, could become a competitive tool for analysing 'spontaneous' market forces, as well as for direct planning. The need for separate statistical accounting of parameters for new technologies at macro- and industry-levels is substantiated.

Keywords: Progress; dynamic input-output models; business cycle; linear and nonlinear programming (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/09535310600653040 (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:18:y:2006:i:2:p:183-203

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

DOI: 10.1080/09535310600653040

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 ().