IDEAS home Printed from https://ideas.repec.org/p/akh/wcefip/035.html
   My bibliography  Save this paper

Estrategias de turismo en la Provincia de Buenos Aires. Una clasificación regional utilizando análisis multivariado

Author

Listed:
  • Natalia Porto
  • Victoria Dowbley
  • Carolina Inés García

Abstract

El objetivo de este trabajo es analizar la distribución de recursos y amenidades turísticas, en conjunto con otras variables, en los municipios de la Provincia de Buenos Aires con el fin de proponer una clasificación turística regional. Las variables consideradas en el análisis se vinculan con la especialización turística, la sostenibilidad medioambiental, el desarrollo urbano-regional, la sostenibilidad fiscal y la gobernabilidad. Se desarrolla una metodología estadística multivariada de clasificación que considera un conjunto de variables simultáneamente con una estrategia de análisis en tres etapas. Estas etapas son: i) preparación de la base de datos y reducción de variables consideradas en base a criterios estadísticos; ii) aplicación del Análisis de Cluster con el algoritmo de clasificación no jerárquico de k-medias previa aplicación del Análisis de Componentes Principales extendido para variables mixtas; iii) caracterización y validación de los grupos obtenidos. Como resultado se obtuvieron 8 grupos de municipios que muestran una transición gradual desde municipios donde la actividad turística es relativamente más importante a municipios más urbanizados, con desarrollo industrial. Se destacan tres grupos importantes desde el punto de vista de la actividad turística. Uno de los grupos está integrado principalmente por partidos de la Costa Atlántica, con gran presencia de recursos naturales y mayor participación de la actividad económica Servicios de Alojamiento y Restaurantes en el Producto Bruto Municipal. Los otros dos grupos están integrados principalmente por municipios con mayor dotación relativa de recursos deportivos. Con este trabajo se espera contribuir a la comprensión de la diversidad que presentan los municipios de la provincia e incentivar el uso de los métodos estadísticos multivariados en esta área de investigación. Como conclusión, se recomienda el desarrollo de estrategias para planificar y gestionar el sector turístico en la provincia, así como evaluar y diagramar un camino de crecimiento sustentado en la diversificación de productos turísticos y siguiendo un espíritu de dispersión de visitantes dentro de la provincia y de los propios municipios.

Suggested Citation

  • Natalia Porto & Victoria Dowbley & Carolina Inés García, 2020. "Estrategias de turismo en la Provincia de Buenos Aires. Una clasificación regional utilizando análisis multivariado," CEFIP, Working Papers 035, CEFIP, Universidad Nacional de La Plata.
  • Handle: RePEc:akh:wcefip:035
    as

    Download full text from publisher

    File URL: https://cefip.econo.unlp.edu.ar/wp-content/uploads/2024/02/dt_2020_04_01_v01_f01.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Forrest Young & Yoshio Takane & Jan Leeuw, 1978. "The principal components of mixed measurement level multivariate data: An alternating least squares method with optimal scaling features," Psychometrika, Springer;The Psychometric Society, vol. 43(2), pages 279-281, June.
    2. Forrest Young, 1981. "Quantitative analysis of qualitative data," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 357-388, December.
    3. Ferdinand A. Gul & Judy S. L. Tsui, 2004. "Introduction and overview," Palgrave Macmillan Books, in: The Governance of East Asian Corporations, chapter 1, pages 1-26, Palgrave Macmillan.
    4. Guido Candela & Maurizio Mussoni & Roberto Patuelli, 2015. "Centralized vs Decentralized Tourism Policies: A Spatial Interaction Model Framework," ERSA conference papers ersa15p1082, European Regional Science Association.
    5. Kobrich, C. & Rehman, T. & Khan, M., 2003. "Typification of farming systems for constructing representative farm models: two illustrations of the application of multi-variate analyses in Chile and Pakistan," Agricultural Systems, Elsevier, vol. 76(1), pages 141-157, April.
    6. Dray, Stéphane & Dufour, Anne-Béatrice, 2007. "The ade4 Package: Implementing the Duality Diagram for Ecologists," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i04).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hansohm, Jürgen, 2007. "Algorithms and error estimations for monotone regression on partially preordered sets," Journal of Multivariate Analysis, Elsevier, vol. 98(5), pages 1043-1050, May.
    2. Kuroda, Masahiro & Mori, Yuichi & Iizuka, Masaya & Sakakihara, Michio, 2011. "Acceleration of the alternating least squares algorithm for principal components analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 143-153, January.
    3. Hansohm, Jürgen, 2004. "Algorithmus und Programm zur Bestimmung der monotonen Kleinst-Quadrate Lösung bei partiellen Präordnungen," Arbeitspapiere zur mathematischen Wirtschaftsforschung 187, Universität Augsburg, Institut für Statistik und Mathematische Wirtschaftstheorie.
    4. Eeke Burg & Jan Leeuw & Renée Verdegaal, 1988. "Homogeneity analysis withk sets of variables: An alternating least squares method with optimal scaling features," Psychometrika, Springer;The Psychometric Society, vol. 53(2), pages 177-197, June.
    5. Michel Tenenhaus, 1988. "Canonical analysis of two convex polyhedral cones and applications," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 503-524, December.
    6. Yoo, Boonghee, 2009. "Developing an overall ranking of 79 marketing journals: An introduction of PRINQUAL to marketing," Australasian marketing journal, Elsevier, vol. 17(3), pages 160-174.
    7. Molini, A. & Talkner, P. & Katul, G.G. & Porporato, A., 2011. "First passage time statistics of Brownian motion with purely time dependent drift and diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 1841-1852.
    8. Wenzel Kröber & Martin Böhnke & Erik Welk & Christian Wirth & Helge Bruelheide, 2012. "Leaf Trait-Environment Relationships in a Subtropical Broadleaved Forest in South-East China," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-11, April.
    9. Morgan Bazilian & Patrick Nussbaumer & Hans-Holger Rogner & Abeeku Brew-Hammond & Vivien Foster & Shonali Pachauri & Eric Williams & Mark Howells & Philippe Niyongabo & Lawrence Musaba & Brian Ó Galla, 2011. "Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa," Working Papers 2011.68, Fondazione Eni Enrico Mattei.
    10. Dai, Hancheng & Mischke, Peggy & Xie, Xuxuan & Xie, Yang & Masui, Toshihiko, 2016. "Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions," Applied Energy, Elsevier, vol. 162(C), pages 1355-1373.
    11. Luca Gerotto & Paolo Pellizzari, 2021. "A replication of Pindyck’s willingness to pay: on the efforts required to obtain results," SN Business & Economics, Springer, vol. 1(5), pages 1-25, May.
    12. Emtage, Nicholas & Herbohn, John, 2012. "Assessing rural landholders diversity in the Wet Tropics region of Queensland, Australia in relation to natural resource management programs: A market segmentation approach," Agricultural Systems, Elsevier, vol. 110(C), pages 107-118.
    13. Zahid Kausar, A.S.M. & Reza, Ahmed Wasif & Saleh, Mashad Uddin & Ramiah, Harikrishnan, 2014. "Energizing wireless sensor networks by energy harvesting systems: Scopes, challenges and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 973-989.
    14. Pengfei Song & Wen Qin & YanGan Huang & Lei Wang & Zhenyuan Cai & Tongzuo Zhang, 2020. "Grazing Management Influences Gut Microbial Diversity of Livestock in the Same Area," Sustainability, MDPI, vol. 12(10), pages 1-12, May.
    15. la Grange, Anthony & le Roux, Niël & Gardner-Lubbe, Sugnet, 2009. "BiplotGUI: Interactive Biplots in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i12).
    16. Tol, Richard S.J., 2012. "A cost–benefit analysis of the EU 20/20/2020 package," Energy Policy, Elsevier, vol. 49(C), pages 288-295.
    17. Jonas Eberle & Renier Myburgh & Dirk Ahrens, 2014. "The Evolution of Morphospace in Phytophagous Scarab Chafers: No Competition - No Divergence?," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-16, May.
    18. Koen Caminada & Kees Goudswaard & Chen Wang & Jinxian Wang, 2019. "Income Inequality and Fiscal Redistribution in 31 Countries After the Crisis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(1), pages 119-148, March.
    19. Liesbeth François & Katrien Wijnrocx & Frédéric G Colinet & Nicolas Gengler & Bettine Hulsegge & Jack J Windig & Nadine Buys & Steven Janssens, 2017. "Genomics of a revived breed: Case study of the Belgian campine cattle," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-14, April.
    20. Richard Tol, 2007. "The double trade-off between adaptation and mitigation for sea level rise: an application of FUND," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 12(5), pages 741-753, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:akh:wcefip:035. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Laura Carella (email available below). General contact details of provider: https://edirc.repec.org/data/funlpar.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.