Record Details

Positive Mathematical Programming Approaches – Recent Developments in Literature and Applied Modelling

Bio-based and Applied Economics

View Archive Info
 
 
Field Value
 
Title Positive Mathematical Programming Approaches – Recent Developments in Literature and Applied Modelling
 
Creator Heckelei, Thomas; University of Bonn
Institute for Food and Resource Economics
Britz, Wolfgang; University of Bonn
Zhang, Yinan; Bonn University
 
Subject Positive Mathematical Programming; estimation of programming models; farm and sector models; policy impact assessment; review
C61; Q12; Q18
 
Description This paper reviews and discusses the more recent literature and application of Positive Mathematical Programming in the context of agricultural supply models. Specifically, advances in the empirical foundation of parameter specifications as well as the economic rationalisation of PMP models – both criticized in earlier reviews – are investigated. Moreover, the paper provides an overview on a larger set of models with regular/repeated policy application that apply variants of PMP. Results show that most applications today avoid arbitrary parameter specifications and rely on exogenous information on supply responses to calibrate model parameters. However, only few approaches use multiple observations to estimate parameters, which is likely due to the still considerable technical challenges associated with it. Equally, we found only limited reflection on the behavioral or technological assumptions that could rationalise the PMP model structure while still keeping the model’s advantages.
 
Publisher Bio-based and Applied Economics
Bio-based and Applied Economics
 
Contributor
 
Date 2012-03-23
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://www.fupress.net/index.php/bae/article/view/10567
http://www.fupress.net/index.php/bae/article/download/10567/10520
10.13128/BAE-10567
 
Source Bio-based and Applied Economics; Vol 1, No 1 (2012); 109-124
Bio-based and Applied Economics; Vol 1, No 1 (2012); 109-124
2280-6172
2280-6180
 
Language eng
 
Relation 10.13128/BAE-10567