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Evaluación Comparativa Regional: índice sintético de desarrollo regional (IDR) para Perú

Author

Listed:
  • Margaret Alexandra Coaquira Velásquez
  • Juan Walter Tudela Mamani
  • Miguel Jiménez Carrión

Abstract

En el presente artículo construimos un índice sintético de desarrollo regional (IDR) de nueva generación, que involucra los cuatro componentes interdependientes del desarrollo sustentable (económico, social, ambiental e institucional) y permite evaluar, de forma comparada, el desarrollo regional en Perú. Para ello, se usó de forma rigurosa: el análisis por componentes principales (ACP) en la elaboración del IDR, el método Jenks natural breaks en la ponderación regional, la convergencia sigma en las disparidades regionales y el coeficiente alfa (a) de Cronbach en la fiabilidad metodológica interna. Los resultados para el periodo 2015-2019 muestran que regiones como el Callao, Ica, Moquegua y Lima triplican el desarrollo de otras (Cajamarca, Huancavelica, Puno y Loreto), a pesar de que estas últimas cuentan con grandes fuentes de desarrollo. Una razón de ello es el bajo avance en la dimensión institucional. Además, por orden jerárquico, las dimensiones que más aportan al desarrollo sustentable analizado son: social (95.20%), ambiental (85.98%), económica (84.78%) e institucional (49.42%). La propuesta incluye un prototipo de plataforma web que muestra, iterativamente, el desarrollo de las regiones en Perú, con algoritmos inteligentes, big data, web scraping e información geoespacial.

Suggested Citation

  • Margaret Alexandra Coaquira Velásquez & Juan Walter Tudela Mamani & Miguel Jiménez Carrión, 2023. "Evaluación Comparativa Regional: índice sintético de desarrollo regional (IDR) para Perú," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 94(4), pages 109-157, June.
    • Handle: RePEc:col:000090:020798
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    More about this item

    Keywords

    brechas; desarrollo económico; desarrollo sostenible; dimensiones; regiones; Perú.;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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