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Spillover effects of public capital stock: A case study for Ecuador

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  • Roberto Zurita
  • Víctor Morales-Oñate

Abstract

This research examines the spatial spillovers of public capital on gross value added across 216 cantons in continental Ecuador. The investigation is conducted within the framework of Spatial Econometrics, utilizing various model specifications and spatial weight matrices, complemented by a Cobb Douglas-type model that incorporates spatial dependence. The findings highlight a positive spatial impact of the public capital stock, with approximately 30% of the overall effect attributed to the indirect component. This underscores the importance of considering spatial structure when assessing the effects of capital on gross value added. Consequently, the study extends its exploration to derive column and row effects, aimed at identifying the most influential cantons within the neighborhoods established by the spatial structure.

Suggested Citation

  • Roberto Zurita & Víctor Morales-Oñate, 2025. "Spillover effects of public capital stock: A case study for Ecuador," REGION, European Regional Science Association, vol. 12, pages 1-18.
    • Handle: RePEc:wiw:wiwreg:region_12_1_521
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    References listed on IDEAS

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    1. Mera, Koichi, 1973. "II. Regional production functions and social overhead capital: An analysis of the Japanese case," Regional and Urban Economics, Elsevier, vol. 3(2), pages 157-185, May.
    2. Florax, Raymond & Folmer, Henk, 1992. "Specification and estimation of spatial linear regression models : Monte Carlo evaluation of pre-test estimators," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 405-432, September.
    3. James Lesage & Manfred Fischer, 2008. "Spatial Growth Regressions: Model Specification, Estimation and Interpretation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 275-304.
    4. Berndt, Ernst & Hansson, Bengt, 1992. "Measuring the Contribution of Capital in Sweden," Working Paper Series 365, Research Institute of Industrial Economics.
    5. Grace Carolina Guevara-Rosero & Stéphane Riou & Corinne Autant-Bernard, 2019. "Agglomeration externalities in Ecuador: do urbanization and tertiarization matter?," Regional Studies, Taylor & Francis Journals, vol. 53(5), pages 706-719, May.
    6. Pedro R.D. Bom & Jenny E. Ligthart, 2014. "What Have We Learned From Three Decades Of Research On The Productivity Of Public Capital?," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 889-916, December.
    7. Emanuela Marrocu & Raffaele Paci, 2010. "The effects of public capital on the productivity of the Italian regions," Applied Economics, Taylor & Francis Journals, vol. 42(8), pages 989-1002.
    8. repec:bla:scandj:v:94:y:1992:i:0:p:s151-68 is not listed on IDEAS
    9. Paul Elhorst & Solmaria Halleck Vega, 2013. "On spatial econometric models, spillover effects, and W," ERSA conference papers ersa13p222, European Regional Science Association.
    10. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    11. Antonio J. Mora & Esther Vayá & Jordi Suriñach & Enrique López-Bazo, 1999. "original: Regional economic dynamics and convergence in the European Union," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 33(3), pages 343-370.
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    More about this item

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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