The multi-factor partitioning model and a suggestion for its modification
Open Access
- 19 November 2019
- journal article
- Published by Virtus Interpress in Journal of Governance and Regulation
- Vol. 8 (4), 21-34
- https://doi.org/10.22495/jgrv8i4art2
Abstract
The multi-factor partitioning model (MFP) is one of the shift-share analysis models and constitutes an essential contribution to the effort of describing and understanding a region’s growth. The purpose of the present paper is: 1) To present, the multi-factor partitioning model and its connection to traditional and homothetic one; 2) To explain why the use of standardized relative changes in the use of the MFP model ignores two effects: the distribution effect and the structure effect; 3) To propose a modification of multi-factor partitioning model to take into account the previous mentioned effects; 4) To apply the multi-factor partitioning and the proposed modified multi-factor partitioning model in order to identify growth regional patterns in thirteen Greek regions, and show that the use of multi-factor partitioning model instead the proposed modified model, misleads us to the results.Keywords
This publication has 29 references indexed in Scilit:
- Employment Growth by Firm Size During the Recent Crisis in Italy: A Multifactor Partitioning AnalysisGrowth and Change, 2018
- A New Shift‐Share MethodGrowth and Change, 2014
- Shift-share analysis and international tradeThe Annals of Regional Science, 2011
- Shift‐Share Analysis and the Potential for Predicting Regional Growth Patterns: Some Evidence for the Region of Quebec, CanadaGrowth and Change, 1990
- Dynamic Shift‐Share AnalysisGrowth and Change, 1988
- Implementing regional economic policy: An analysis of economic and political influences in The NetherlandsRegional Studies, 1984
- An Extension of Shift‐Share AnalysisGrowth and Change, 1984
- Estimating the impact of regional policy: A review of applied research methodsRegional Science and Urban Economics, 1982
- SHIFT AND SHARE PROJECTIONS OF REGIONAL ECONOMIC GROWTH: AN EMPIRICAL TEST†Journal of Regional Science, 1969
- A STATISTICAL AND ANALYTICAL TECHNIQUE FOR REGIONAL ANALYSISPapers in Regional Science, 1960