Measuring regional competitiveness through Data Envelopment Analysis: A Peruvian case

Vincent Charles, Luis Felipe Zegarra

Research output: Contribution to journalArticlepeer-review

68 Scopus citations

Abstract

It is well known that competitiveness has a positive effect on long-term economic growth. Concerned, thus, with creating and maintaining an environment that sustains more value creation for its enterprises and more prosperity for its people, the goal of this research paper is to assist the Peruvian national and regional policy makers, business, and academic community in their endeavor to improve regional and national competitiveness by means of developing a methodology based on Data Envelopment Analysis (DEA) to measure and rank the competitiveness of all the regions of Peru. It is important to highlight that DEA is a method that has never been used before in the calculation of regional competitiveness and this research paper is the first of its kind in Peru to adapt this method to develop a regional competitiveness index. Results revealed that coastal regions are highly competitive when compared to the mountains and jungle regions. Because of the large differences in the competitiveness of the regions of Peru, the research results point out to the need for a unified approach in creating a development strategy and improving the competitiveness of all the regions of Peru.

Original languageEnglish
Pages (from-to)5371-5381
Number of pages11
JournalExpert Systems with Applications
Volume41
Issue number11
DOIs
StatePublished - 1 Sep 2014
Externally publishedYes

Keywords

  • Competitiveness index
  • Data envelopment analysis
  • Economic growth
  • Regional competitiveness

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