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Spatio-sectoral heterogeneity and population–employment dynamics: some implications for territorial development

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  • Luisa Alamá-Sabater
  • Miguel Á. Márquez
  • Emili Tortosa-Ausina

Abstract

Grounded in the general equilibrium framework of regional adjustment models, this paper studies how the spatial distribution of sectoral employment can affect the intra-regional spatial location of a population, and so affect territorial development. Although spatial interactions, spatial heterogeneity and sectoral heterogeneity have been introduced in these models, no empirical studies reveal how spatio-sectoral heterogeneity affects the intra-regional distribution of population and jobs. This paper explores this effect through a complex set of interdependencies among the regional population, employment in the regional economic sectors and their respective regional neighbours within the different regional typologies (urban, semi-urban and rural areas), as suggested by the concept of proximity developed by Torre in 2019. We use a system of simultaneous equations to focus on the phenomenon of rural depopulation for the 542 municipalities of the Valencian region of Spain. The results provide evidence for the relevance of spatio-sectoral dynamics, suggesting that reversing depopulation in rural areas depends strongly on the services sector.

Suggested Citation

  • Luisa Alamá-Sabater & Miguel Á. Márquez & Emili Tortosa-Ausina, 2025. "Spatio-sectoral heterogeneity and population–employment dynamics: some implications for territorial development," Regional Studies, Taylor & Francis Journals, vol. 59(1), pages 2088725-208, December.
  • Handle: RePEc:taf:regstd:v:59:y:2025:i:1:p:2088725
    DOI: 10.1080/00343404.2022.2088725
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    Cited by:

    1. is not listed on IDEAS
    2. Luisa Alamá-Sabater & Miguel Ángel Márquez & Emili Tortosa-Ausina & Júlia Cravo, 2022. "Are semi-urban spillovers the answer to left-behind places in rural Europe? The case of the Portuguese municipalities," Working Papers 2022/14, Economics Department, Universitat Jaume I, Castellón (Spain).

    More about this item

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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