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Dots to dots: a general methodology to build local indicators using spatial micro-data

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  • Jean Dubé

    ()

  • Cédric Brunelle

    ()

Abstract

Empirical studies in regional science have so far largely relied on discrete conceptualizations of space and aggregated metrics, which do not take into consideration spatial heterogeneity and variability at the micro-level. This paper explores the use of these indicators when dealing with observations at the subregional level, based on micro-data sets that impose the conceptualization of spatial interactions in a continuous and multidirectional space. We propose a general methodology to build local indicators for spatial micro-data sets. Based on distance matrix and matrix calculations, some classical indices of specialization and diversity are extended to their local counterparts to explore the full spatial heterogeneity and variability of space. The methodology is applied to 9,839 establishments covering all economic sectors in the Lower St-Lawrence region (Quebec, Canada). We find that the distribution of the local indicator varies significantly with distance, which suggests that the effects of specialization or diversity are not constant over space. Treating space as continuous may become of prime importance, given that more individual data sets are now available, combined with the fact that the performance of microcomputers is still improving. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Jean Dubé & Cédric Brunelle, 2014. "Dots to dots: a general methodology to build local indicators using spatial micro-data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 245-272, August.
  • Handle: RePEc:spr:anresc:v:53:y:2014:i:1:p:245-272
    DOI: 10.1007/s00168-014-0627-z
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    Cited by:

    1. Peter Nijkamp & Jacques Poot, 2015. "Cultural Diversity - A Matter of Measurement," CReAM Discussion Paper Series 1502, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
    2. repec:taf:entreg:v:28:y:2016:i:9-10:p:746-767 is not listed on IDEAS
    3. repec:spr:anresc:v:60:y:2018:i:1:d:10.1007_s00168-017-0849-y is not listed on IDEAS
    4. Sam Tavassoli & Viroj Jienwatcharamongkhol, 2016. "Survival of entrepreneurial firms: the role of agglomeration externalities," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 28(9-10), pages 746-767, October.

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    Keywords

    D22; R12; R3;

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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