Distribución espacial de la actividad económica en la Comarca de Cartagena. Un análisis basado en la demografía empresarial usando Arcview y GeoDa

  1. FRANCISCO TOMAS CERDÁN 1
  2. FERNANDO LÓPEZ HERNÁNDEZ 1
  1. 1 Universidad Politécnica de Cartagena
    info

    Universidad Politécnica de Cartagena

    Cartagena, España

    ROR https://ror.org/02k5kx966

Journal:
Rect@: Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA

ISSN: 1575-605X

Year of publication: 2013

Issue Title: Serie Monografías. Métodos cuantitativos e informática

Volume: 4

Issue: 1

Pages: 97-118

Type: Article

More publications in: Rect@: Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA

Abstract

The aim of this paper is present an exploratory analysis of spatial data to describe the economic structure of the small area in Murcia Region named Campo de Cartagena. We used the ArcGIS and GeoDa software to perform this analysis using information available in the databank SABI (Analysis Systems Iberian Balance) which give the exact location of companies located in this area. In the first part of the paper a brief description of the most popular statistical spatial autocorrelation, Moran index, is showed. Moreover, we present the graphical version: the Moran scatterplot. In the second part, we apply both indicators to Business Demography to the set of data available in SABI. We conclude from this analysis that both the agricultural, industrial and construction sectors there is a strong spatial dependence structure, while the service sector, commercial or noncommercial, no spatial structure is founded.

Bibliographic References

  • D. Puga, The magnitude and causes of agglomeration economies. Journal of Regional Science 50 (2010) (1):203–219.
  • G. Arbia, G. A lustrum of SEA: recent research trends following the creation of the Spatial Econometrics Association (2007–2011). (2011). Spatial Economic Analysis, 6(4), 377-395.
  • G.E.P. Box y G.M. Jenkins Time Series Analysis, Forecasting and Control (Holden-Day, San Francisco 1970).
  • W. Tobler, A computer Movie Simulating Urban Growth in the Detroit Region.Economic Geography, 46 (1970) 234-240.
  • P. Krugman Geografía y comercio. Editorial Antoni Boschv (1993)
  • P. Krugman Desarrollo, geografía y teoría económica. Editorial Antoni Boschv (1997)
  • P. Moran, The Interpretation of Statistical Maps. Journal of the Royal Statistical Society B, 10, (1948) 243-251.
  • R. Geary, The contiguity ratio and statistical mapping. The Incorporated Statistician 5, (1954)115–145.
  • J.H.P. Paelinck, Elements d'Analyse Economique Spatiale. (1985) París: Economica
  • L. Anselin, Space and applied econometrics, Anselin (ed.), Special Issue. Regional Science and Urban Economics, 22. (1992)
  • L. Anselin. Spatial econometrics: Methods and models, (1988) Kluwer Academic Press.
  • A. Getis, A. y J.K. Ord. The analysis of spatial association by use of distance statistics, Geographical Analysis (1992) 24, 189-206.
  • J. Pinkse, y Brett, C., Spatial price competition a semiparametric approach. Econometrica (2002) 70, 1111–1153.
  • FA López, M Matilla, J Mur y M Ruiz A Non-Parametric Spatial Independence Test Using Symbolic Entropy, Regional Science and Urban Economic. (2010) 40, 106-115
  • Chasco, C. (2003) Econometría espacial aplicada a la predicción-extrapolación de datos microterritoriales, Consejería de Economía e Innovación Tecnológica de la Comunidad de Madrid. Descargable desde: http://www.madrid.org/cs/Satellite?idConsejeria=1109266187242&idListConsj=1 109265444710&c=CM_Publicaciones_FA&pagename=ComunidadMadrid%2FEs tructura&sm=1109266101003&idOrganismo=1109266227074&pid=11092654446 99&language=es&cid=1114175317832
  • A.D. Cliffy J.K. Spatial Autocorrelation (Pion, London, 1973)
  • A.D. Cliff y J.K Spatial Processes. Models & Applications. (Edit. Pion Limited, 1981).
  • A.K. Sen, Large sample-size distribution of statistics used in testing for spatial correlation. Geographical Analysis 8, (1976) 175-184
  • R. Guillain y J. Le Gallo, Agglomeration and dispersion of economic activities in and around Paris: an exploratory spatial data analysis, Environment and Planning B: Planning and Design, 37, (2010) pp. 961-981
  • G. Arbia, Modelling the geography of economic activities on a continuous space, Papers in Regional Sciences, (2001)80(4), 411-424