EconPapers    
Economics at your fingertips  
 

A supply-driven model consuming simultaneously all primary inputs: unfolding analytical potential beyond the Ghosh model

Aleix Altimiras-Martin

Economic Systems Research, 2024, vol. 36, issue 2, 249-264

Abstract: The Ghosh model fails to endogenise the simultaneous consumption of primary inputs and, consequently, is unused. It is argued that this limitation stems from being specified mirroring the Leontief model. In particular, primary inputs are considered homogeneous and independent despite being heterogeneous and (intersectorally) dependent. A new supply-driven model endogenising the consumption of all primary inputs except the one driving the model is developed. It displays new features: structural linearity and structural variability. An input multiplier analysis illustrates that the new model's total requirements matrix represents the actual structure of the economy, overcoming the Ghosh model's ‘limitation’. Also, it is exemplified how to use complementary information from the Ghosh model to deepen structural analyses. Thus, this paper solves a long-lasting theoretical inconsistency in IO modelling and unfolds new analytical potential, hopefully rekindling the interest in supply-driven analyses.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/09535314.2022.2137008 (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:36:y:2024:i:2:p:249-264

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

DOI: 10.1080/09535314.2022.2137008

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 2025-03-20
Handle: RePEc:taf:ecsysr:v:36:y:2024:i:2:p:249-264