Constructing Agri-food Industry Input-Output Data: A Value Chain Modelling Approach

Various methods can be used to construct input-output data for sectoral modelling. These methods are broadly classified in the literature as commodity based survey, non-survey and hybrid approaches. Each approach has its own strengths and weaknesses. This paper presents an alternative approach to map the flows of goods and services. The case study of generating inputoutput data for agricultural industries in Western Australia is used to show how value chain modelling can accurately and reliably provide input-output data.


Issue Date:
2009
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/47950
Total Pages:
19




 Record created 2017-04-01, last modified 2017-08-25

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)