IDEAS home Printed from https://ideas.repec.org/a/bdr/ensayo/v31y2013i70p216-266.html
   My bibliography  Save this article

Localización espacial de la actividad económica en Medellín, 2005-2010 Un enfoque de economía urbana

Author

Listed:
  • Vanessa Galeano

Abstract

Este artículo se propone estudiar la configuración espacial de la actividad económica para la ciudad de Medellín, Colombia, entre los años 2005-2010. Con este propósito se lleva a cabo la caracterización de siete actividades económicas con referencia en la estrategia de desarrollo denominada “Medellín ciudad clúster”. Se hace uso del marco teórico proporcionado por la economía urbana, herramientas de estadística y econometría espacial (análisis exploratorio de datos espaciales (AEDE) y el análisis de clúster) e información suministrada por la Subsecretaría de Catastro. El análisis concluye la existencia de estructuras espaciales definidas para los renglones económicos analizados, esto es, una estructura policéntrica para el sector servicios con dos nodos especializados y evidencia para el proceso de conformación de un nuevo nodo de desarrollo en el norte de la ciudad. Además de una distribución espacial diferenciada para la industria.

Suggested Citation

  • Vanessa Galeano, 2013. "Localización espacial de la actividad económica en Medellín, 2005-2010 Un enfoque de economía urbana," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 31(70), pages 216-266, July.
  • Handle: RePEc:bdr:ensayo:v:31:y:2013:i:70:p:216-266
    DOI: 10.1016/S0120-4483(13)70033-2
    as

    Download full text from publisher

    File URL: https://doi.org/10.1016/S0120-4483(13)70033-2
    Download Restriction: no

    File URL: https://libkey.io/10.1016/S0120-4483(13)70033-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Pierre Philippe Combes & Gilles Duranton & Henry G. Overman, 2005. "Agglomeration and the adjustment of the spatial economy§," Papers in Regional Science, Wiley Blackwell, vol. 84(3), pages 311-349, August.
    2. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 1077-1106.
    3. Ingrid Acevedo Bohórquez & Ermilson Velásquez Ceballos, 2008. "Algunos conceptos de la econometría espacial y el análisis exploratorio de datos espaciales," Revista Ecos de Economía, Universidad EAFIT, September.
    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. Di Giacinto, Valter & Pagnini, Marcello, 2011. "Local and global agglomeration patterns: Two econometrics-based indicators," Regional Science and Urban Economics, Elsevier, vol. 41(3), pages 266-280, May.
    2. Mohamed Amara & Mohamed Ayadi, 2011. "Local Employment Growth in the Coastal Area of Tunisia: A Dynamic Spatial Panel Approach," Working Papers 650, Economic Research Forum, revised 12 Jan 2011.
    3. Gilles Duranton & William R. Kerr, 2015. "The Logic of Agglomeration," Harvard Business School Working Papers 16-037, Harvard Business School.
    4. Mike Coombes, 2014. "From City-region Concept to Boundaries for Governance: The English Case," Urban Studies, Urban Studies Journal Limited, vol. 51(11), pages 2426-2443, August.
    5. Moretti, Enrico & Wilson, Daniel J., 2014. "State incentives for innovation, star scientists and jobs: Evidence from biotech," Journal of Urban Economics, Elsevier, vol. 79(C), pages 20-38.
    6. Steven Brakman & Harry Garretsen & Charles Van Marrewijk, 2009. "Economic Geography Within And Between European Nations: The Role Of Market Potential And Density Across Space And Time," Journal of Regional Science, Wiley Blackwell, vol. 49(4), pages 777-800, October.
    7. Peng Wang & Xiaoyan Lin & Dajun Dai, 2017. "Spatiotemporal Agglomeration of Real-Estate Industry in Guangzhou, China," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    8. Seiffert, Sebastian, 2015. "The Role of Economic Geography in Subnational African Development," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113186, Verein für Socialpolitik / German Economic Association.
    9. Sandy Fréret & Denis Maguain, 2017. "The effects of agglomeration on tax competition: evidence from a two-regime spatial panel model on French data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(6), pages 1100-1140, December.
    10. Isabelle M. Nilsson & Oleg A. Smirnov, 2017. "Clustering vs. relative location: Measuring spatial interaction between retail outlets," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 721-741, November.
    11. Lafourcade, Miren & Mion, Giordano, 2007. "Concentration, agglomeration and the size of plants," Regional Science and Urban Economics, Elsevier, vol. 37(1), pages 46-68, January.
    12. de Bellefon, Marie-Pierre & Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent & Gorin, Clément, 2021. "Delineating urban areas using building density," Journal of Urban Economics, Elsevier, vol. 125(C).
    13. Burhan Can Karahasan & Firat Bilgel, 2018. "Economic Geography, Growth Dynamics and Human Capital Accumulation in Turkey: Evidence from Regional and Micro Data," Working Papers 1233, Economic Research Forum, revised 10 Oct 2018.
    14. Giuseppe Espa & Giuseppe Arbia & Diego Giuliani, 2013. "Conditional versus unconditional industrial agglomeration: disentangling spatial dependence and spatial heterogeneity in the analysis of ICT firms’ distribution in Milan," Journal of Geographical Systems, Springer, vol. 15(1), pages 31-50, January.
    15. Stephen J. Redding, 2010. "The Empirics Of New Economic Geography," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 297-311, February.
    16. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    17. Thi Xuan Thu Nguyen & Javier Revilla Diez, 2017. "Multinational enterprises and industrial spatial concentration patterns in the Red River Delta and Southeast Vietnam," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 101-138, July.
    18. Lu, Jiangyong & Tao, Zhigang, 2009. "Trends and determinants of China's industrial agglomeration," Journal of Urban Economics, Elsevier, vol. 65(2), pages 167-180, March.
    19. Andrew B. Bernard & Stephen J. Redding & Peter K. Schott & Helen Simpson, 2008. "Relative Wage Variation and Industry Location in the United Kingdom," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 431-459, August.
    20. Billings, Stephen B. & Johnson, Erik B., 2012. "A non-parametric test for industrial specialization," Journal of Urban Economics, Elsevier, vol. 71(3), pages 312-331.

    More about this item

    Keywords

    Medellín; economía urbana; Econometría espacial; Distribución de la Actividad Económica; Clúster Espaciales;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

    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:bdr:ensayo:v:31:y:2013:i:70:p:216-266. 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: Clorith Angélica Bahos Olivera (email available below). General contact details of provider: https://edirc.repec.org/data/brcgvco.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.