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Modelling regional productivity performance across Western Europe

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  • Julián Ramajo
  • Geoffrey J. D. Hewings

Abstract

This study investigates the potential role of variations in technical efficiency as a contributing factor in providing an explanation for convergence or divergence in Western Europe. To control for spatial dependence among regions, it uses a spatial stochastic frontier framework that integrates spatial econometric techniques with stochastic frontier panel-data models. The empirical analysis reveals there is a strong geographical pattern of regional efficiency, while the degree of average regional efficiency has increased steadily year by year. From a European regional policy perspective, we can conclude that differentiated development strategies seem more appropriate than homogeneous or best-practice investment approaches.

Suggested Citation

  • Julián Ramajo & Geoffrey J. D. Hewings, 2018. "Modelling regional productivity performance across Western Europe," Regional Studies, Taylor & Francis Journals, vol. 52(10), pages 1372-1387, October.
    • Handle: RePEc:taf:regstd:v:52:y:2018:i:10:p:1372-1387
    DOI: 10.1080/00343404.2017.1390219
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    Citations

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    Cited by:

    1. Cristina Polo & Julián Ramajo & Alejandro Ricci‐Risquete, 2021. "A stochastic semi‐non‐parametric analysis of regional efficiency in the European Union," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 7-24, February.
    2. Bergantino, Angela Stefania & Intini, Mario & Volta, Nicola, 2021. "The spatial dimension of competition among airports at the worldwide level: a spatial stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 295(1), pages 118-130.
    3. Vatsa, Puneet & Pino, Gabriel, 2023. "Spatial spillovers and labor productivity convergence in Canada," Economics Letters, Elsevier, vol. 230(C).
    4. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    5. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
    6. Roberta Capello & Silvia Cerisola, 2023. "Industrial transformations and regional inequalities in Europe," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(1), pages 15-28, February.
    7. Piribauer, Philipp & Glocker, Christian & Krisztin, Tamás, 2023. "Beyond distance: The spatial relationships of European regional economic growth," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    8. Yin, Fang & Sun, Zhanli & You, Liangzhi & Wei Huang, Vivian, 2024. "Technical Efficiency Versus Land-Use Efficiency: A Spatio-Temporal Efficiency Analysis of China's Crop Production," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 73(2), pages 1-20.
    9. Julián Ramajo & Miguel A. Márquez & Geoffrey J. D. Hewings, 2024. "Addressing spatial dependence when estimating technical efficiency: A spatialized data envelopment analysis of regional productive performance in the European Union," Growth and Change, Wiley Blackwell, vol. 55(1), March.

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