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Exploring the Relationship between Micro-Enterprises and Regional Development: Evidence from Tunisia

Author

Listed:
  • Fatten Gazzah

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Jean Bonnet

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Sana El Harbi

    (USO - جامعة سوسة = Université de Sousse = University of Sousse)

Abstract

We investigate the relationship between the presence of micro-enterprises and regional development, as measured by a validated index of regional development, at the level of Tunisian delegations (small-scaled regions). Applying spatial measures and spatial econometric techniques on a data set of 262 delegations, our results show that in disadvantaged areas, a higher micro-enterprise presence is positively related to regional development. However, in relatively higher developed areas of Tunisia, micro-enterprises appear to play only a marginal role in regional development. In general, our results emphasise the importance of attracting large, capital-intensive firms in efficiency-driven economies like Tunisia. Our results also show the important and positive role that micro-enterprises can play in regions where large, capital-intensive firms are absent.

Suggested Citation

  • Fatten Gazzah & Jean Bonnet & Sana El Harbi, 2017. "Exploring the Relationship between Micro-Enterprises and Regional Development: Evidence from Tunisia," Post-Print halshs-01910346, HAL.
    • Handle: RePEc:hal:journl:halshs-01910346
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    JEL classification:

    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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