Targeting Economic Diversification: An Application of Target MOTAD Procedures

Thomas Harris, Chang K. Seung and Rangesan Narayanan
Additional contact information
Chang K. Seung: University of Nevada
Rangesan Narayanan: University of Nevada

The Review of Regional Studies, 2001, vol. 31, issue 2, 197-215

Abstract: With rapid change in national, state, and local economies, many economic development agencies and practitioners have attempted to diversify state and local economies to minimize the variability of state and local economic activity. However, minimizing variability may reduce expected economic growth, which may run contrary to the desires of state and/or local officials. This paper applies Minimization of Total Absolute Deviations (MOTAD) and Target Minimization of Total Absolute Deviations (Target MOTAD) for economic diversification plans. MOTAD procedures; which are a linear programming algorithm for portfolio analysis, minimize positive and negative deviations from mean growth rates. Target MOTAD, unlike portfolio variance and MOTAD procedures, minimizes only negative deviations from targeted economic growth rates. Economic diversification plans derived from MOT AD and Target MOT AD procedures are compared and contrasted.

Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://journal.srsa.org/ojs/index.php/RRS/article/view/31.2.6/pdf To View On Journal Page
http://journal.srsa.org/ojs/index.php/RRS/article/download/31.2.6/290 To Download Article (application/pdf)

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:rre:publsh:v:31:y:2001:i:2:p:197-215

Access Statistics for this article

The Review of Regional Studies is currently edited by Tammy Leonard & Lei Zhang and Lei Zhang

More articles in The Review of Regional Studies from Southern Regional Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Tammy Leonard & Lei Zhang ().